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Traditional Posters (no CME credit)

Electronic Posters (no CME credit)

Electronic Power Pitch Poster (no CME credit)

Friday, 21 April 2017 Saturday, 22 April 2017 Sunday, 23 April 2017 Monday, 24 April 2017 Tuesday, 25 April 2017 Wednesday, 26 April 2017 Thursday, 27 April 2017


Saturday, 22 April 2017

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Weekend Course

Physics for Physicists

Organizers: Herbert Köstler, Dipl.-Phys. & N. Jon Shah, Ph.D.

Room 313BC Saturday 8:15 - 12:15 Moderators: Adrienne Campbell-Washburn & Armin Nagel

8:15
MRI: the Classical Description

The NMR (Nuclear Magnetic Resonance) signal can be described classically by considering the motion of the net magnetisation (the vector sum of magnetic moments of individual nuclei). By considering individual isochromats – i.e. subsets of the spins that are behaving identically– we can visualise how the received signal will decay away due to T1, T2 and T2* relaxation. By additionally considering the effects of magnetic field gradients, we can determine the spatial location of the signal, producing images. All these effects can be described by the Bloch equations, which give complete classical description of the behaviour of magnetisation.
Gareth Barker

8:45
Signal & Noise in MRI

The signal-to-noise ratio (SNR) is a fundamental measure of quality and performance in MRI, most frequently used as a metric for comparing and optimizing imaging sequences, MR hardware (e.g., RF coils), or to assess and process new imaging and reconstruction techniques. Clinically, signal and noise considerations are important for image assessment such as in reliable lesion characterization, or in the context of accurate parameter fitting (relaxometry).  This presentation will review the basic principles relevant to SNR, sources of noise, basic noise statistics, multi-channel noise, measurement of SNR and contrast-to-noise ratio, and factors influencing SNR.  
Claudia Hillenbrand

9:15
Spatial Encoding (k-Space, MRI as a Linear & Shift-Invariant System, PSF, MTF)

Michael Steckner

9:45
Break & Meet the Teachers

10:15
MRI: a Systems Overview

The “big three” sections of an MR scanner are well known; Magnet, Gradient system, and RF system, and probably should have a fourth: Patient comfort and user experience components.  We start with a review of these components, current limitations, and directions under investigation and continue to interaction between them needed to harmonize operation.
Lawrence Wald

10:45
Bloch Equations & Typical MRI Contrast

This presentation will provide an overview of the typical forms of the Bloch Equations, the physical mechanisms of relaxation phenomena as well as the basis of typical MRI contrasts.
Tobias Wech

11:15
Pulse Sequence Check: Reality vs. Ideal

The effect of any pulse sequence on the magnetization in an object can be predicted very accurately using the Bloch equation. A general algebraic inversion of the Bloch equation is not possible and thus, the full set of object and system properties and parameters cannot be derived from measurement data directly. Using a few assumptions and neglecting possible deviations, the results of a given pulse sequence can be calculated and the spatial encoding can be inverted to reconstruct an image. But what if these assumptions are wrong?
Oliver Speck

11:45
Basic MR Safety (Magnetic Fields, Peripheral Nerve Stimulation, etc)

Magnetic resonance techniques are considered to be not harmful. The three electromagnetic fields used for MR - static magnetic field, switched gradient fields, and radio frequency field - interact with human tissue, but also with other materials exposed to these fields. The physical interactions with human tissue do not cause irreversible physiological effects, as long as certain limits are not exceeded. Concerning foreign material (e.g. implants), the physical effects of the applied fields may cause severe hazards for patients, staff, and material, if MR examinations are not performed properly. 
Harald Kugel

12:15
Lunch & Meet the Teachers


Weekend Course

Introduction to fMRI: Task & Resting State fMRI Methods/Analysis

Organizers: Jay J. Pillai, M.D. & Joshua S. Shimony, M.D., Ph.D.

Room 312 Saturday 8:15 - 12:15 Moderators: Jay Pillai & Benedikt Poser

8:15
BOLD Data Acquisition Considerations

Through a series of complex processes, under the umbrella term of neurovascular coupling, neuronal activity ultimately manifests as a signal change in an MR image via the blood-oxygenation level dependent (BOLD) contrast. Functional MRI (fMRI) capitalises on this contrast mechanism to infer neuronal activity from BOLD contrast variation in a time series, typically acquired while the participant engages in a task. This approach has proved valuable in furthering our understanding of the working of the human brain. Here, issues pertinent to acquiring data with sufficiently high sensitivity to detect such changes are considered, e.g. susceptibility effects, physiological noise and approaches facilitating high spatio-temporal resolution.
Martina Callaghan

8:45
BOLD Signal/Physiology

Functional MRI has become a standard technique for exploring brain function, however this imaging modality is not a direct measure of neural activity. This course introduces the source of Blood Oxygenation Level Dependent (BOLD) contrast and the physiological mechanisms that drive the haemodynamic response to neural activity. The limitations and challenges of using blood as a surrogate for brain function are discussed, particularly in cohorts with differing cerebrovascular physiology. Potential solutions involving additional imaging modalities and complementary MRI contrast mechanisms may enable accurate understanding of the neuro-vascular processes underlying BOLD fMRI.
Molly Bright

9:15
General Linear Model Analysis of Task Based fMRI Data

The general linear model (GLM) is one of the most commonly utilized statistical platform that is currently used in analyzing task-based fMRI data.  In this talk we will introduce the general over view and basic concepts of GLM and how it is used in this very specific application of clinical neuroimaging.  We will briefly review the history of introduction of GLM into the fMRI community and later use some examples to demonstrate the utility in analyzing fMRI data. In the end we will discuss some of its limitations.
Feroze Mohamed

9:45
Introduction to Resting State Functional Connectivity

Steven Stufflebeam

10:15
Break & Meet the Teachers

10:45
Data Driven & Exploratory Analyses

Independent component analysis (ICA) has grown to be a widely used and continually developing staple for analyzing fMRI functional connectivity data. In this paper we discuss some key observations and assumptions regarding ICA and also key new applications of ICA to brain imaging data.
Vince Calhoun

11:15
Dynamic Functional Connectivity

Dynamic functional connectivity (DFC) is the study of time-varying changes in functional interactions between brain regions. This talk will describe DFC methods along with the challenges involved in such analyses. We will also highlight results demonstrating associations between DFC and independently acquired measures of behavior, physiology, and neural activity, and will discuss the potential for DFC features to serve as clinical biomarkers.
Catie Chang

11:45
Network Analysis

This talk provides an introduction to network analysis of functional MRI, with an emphasis on the use of graph theory for understanding distinct aspects of brain organisation and dynamics. 
Alex Fornito

12:15
Adjournment & Meet the Teachers


Weekend Course

Diffusion MRI: Principles & Applications

Organizers: Daniel C. Alexander, Ph.D. & Stephan E. Maier, M.D., Ph.D.

Room 311 Saturday 8:15 - 11:45 Moderators: Daniel Alexander & Stephan Maier

8:15
Introduction to Diffusion MRI

This lecture will cover the basics of diffusion MRI. We will explore how diffusion in biological tissue serves as an in vivo microscope through its measurement with MRI by varying both diffusion gradient and the diffusion time t, the time over which the molecules diffuse. The concepts of q-space imaging, diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) will be covered, as well as other higher order diffusion methods (biophysical models versus representations). In addition, we will illustrate how varying the diffusion time t provides complimentary information about microstructural length scales.
Els Fieremans

8:45
Diffusion Modeling and Microstructure Probing

This lecture presents the key concepts behind modelling diffusion MRI signal. Specifically, it focuses on various techniques that go beyond the standard diffusion tensor model, and aim to provide biomarkers which can be related to tissue microstructure.
Andrada Ianuș

9:15
Tracking Fiber Structures

Diffusion MRI tractography enables unprecedented visualization of the trajectory of white matter pathways in vivo. This course will introduce the fundamental principles of tracking fiber structures in diffusion MRI data, and will provide an overview of different tractography methods. Participants will learn about the current capabilities and limitations of tractography techniques for investigating white matter anatomy. Clinical applications of tractography will be presented and challenges of using tractography findings for clinical decision support will be discussed.
Sonia Pujol

9:45
Break & Meet the Teachers

10:15
Neuro Applications of Diffusion MRI

Michael Zeineh

10:45
Body Applications of Diffusion MRI

This presentation will review the added value of DWI in the body, particularly in the oncology patients.

 

Bachir Taouli

11:15
Application of Diffusion MRI in Animal Models

This lecture will provide a brief overview of technical considerations involved in diffusion MRI of small animals on preclinical scanners. Applications of diffusion MRI to examine neuroanatomy and brain development in small animals will be covered. We will examine the relations between metrics derived using different diffusion models and acquisition schemes and white matter pathological changes in animal models of injury and disease. In addition, emerging applications of diffusion MRI methods for characterization of brain tissue microstructure in animal models will be explored.
Manisha Aggarwal

11:45
Adjournment & Meet the Teachers


Weekend Course

Introduction into Magnetic Resonance Spectroscopy

Organizers: Anke Henning, Ph.D. & Roland Kreis, Ph.D.

Room 314 Saturday 8:15 - 12:05 Moderators: Thomas Ernst & Harald Möller

8:15
Basic Principles of MRS (Chemical Shift, J-coupling, Spectral Resolution, Field Strength Effects)

The basic principles of NMR are discussed based on classical concepts like compass needles, bar magnets, precession and electromagnetic induction. More advanced topics such as chemical shift, scalar coupling, T1 and T2 relaxation and basic MR sequences are also covered. 
Robin de Graaf

8:40
Localization (Sequences: semiLASER, PRESS, STEAM, Chemical Shift Displacement)

Accurate localization is key for MR spectra quality and metabolites quantification. Metabolites low concentration and multiple frequencies pose more challenges in-vivo MRS than MRI, due to B0 inhomogeneity, insufficient B1, chemical shift displacement, and artifacts from lipids. Volume selection methods based on overlapping slices improves MRS quality by limiting the region of interest to areas where B0 and B1 can be better controlled. Spatial coverage can be improved by more modern approaches where arbitrary volumes can be shaped with parallel transmit, multiple volumes disentangled by parallel imaged, and different contributions to the MRS signal can be modeled in the reconstruction
Ovidiu Andronesi

9:05
Water & Lipid Suppression - VAPOR, WET, OVS, IR, Novel Approaches (MC, Crushers)

In this presentation, the need for water and lipid suppression, as well as the most widely used approaches to achieve this are explained.
Vincent Boer

9:30
Pre-Scan Adjustments (B0 Shimming, F0, PO, Water Suppression)

The pre-scan adjustments, while nearly invisible to many practitioners, are very important for the successful acquisition of many spectroscopic and imaging sequences. In this talk, approaches and constructs specific to B0 and B1 optimization are discussed with examples of methods and results. 
Jullie Pan

9:55
Break & Meet the Teachers

10:25
MRSI (Basic Sequences & Acceleration)

Ulrike Dydak

10:50
Editing, 2D & UHF - Detection a Comprehensive Neurochemical Profile

While the vast majority of MRS applications focus on the strong resonances of NAA, Cr, Cho and sometimes mIns and Glu+Gln, resonances from at least 15 neurochemicals, i.e., a comprehensive neurochemical profile are present in the spectrum. For detecting the small, weakly represented neurochemical resonances that underlie the typically detected large resonances such as NAA, Cr, Cho and mIns, options are: 1) to de-convolve all of the signals that are present or 2) to edit, i.e., to set the signal of interest apart (at least partially) from the others. Of course, there are advantages and disadvantages to each approach.
Melissa Terpstra

11:15
Postprocessing & Quality Assurance

In-vivo MRS data is unavoidably degraded by experimental imperfections such as subject motion, scanner drift, and eddy currents.  Spectral preprocessing improves spectral quality and quantification reliability, and is an indispensable part of any in-vivo MRS experiment.    MRS preprocessing is usually organized as a sequence, or ‘pipeline’ of individual processing routines, each designed to address a specific issue with the data.  This talk covers some of the most common experimental issues affecting MRS data, and the processing routines and pipelines that can address these issues.
Jamie Near

11:40
Spectral Fitting & Absolute Quantification

MRS quantification is complicated due to the metabolic resonance overlap and complex line shapes. The modern methods for the spectral fitting increasingly relies on the linear combination (LC) modeling algorithms. The absolute quantification can be carried out using internal or external concentration references. The challenges remain in the following areas: the generation of the accurate prior knowledge, creating proper model/constraints for data fitting algorithms and choice of more robust concentration references.  
Lana Kaiser

12:05
Adjournment & Meet the Teachers


Weekend Course

Cardiovascular MRI: Vascular

Organizers: James C. Carr, M.D. & Winfred A. Willinek, M.D.

Room 316A Saturday 8:15 - 11:45 Moderators: Darren Lum & Jeffrey Maki

8:15
Overview of CE & NCMRA Methods

Principles of Contrast enhanced and non contrast enhanced MRA will be reviewed, as well as their clinical application.
Ruth Lim

8:35
Flow Imaging Techniques

Michael Hope

8:55
Contrast Agents

This lecture will deal with conventional Gd-based contrast agents. In particular the molecular basis of the paramagnetic enhancement as well as  Gd-complexes stability will be addressed.
Daniela Delli Castelli

9:15
Break & Meet the Teachers

9:30
Imaging Techniques: Current & Future

Atherosclerosis, a systemic disease affecting large and medium sized arterial vessel walls is a leading cause of mortality in the world. MRI is quickly becoming the imaging modality of choice for visualizing atherosclerosis in the vessel wall. Atherosclerosis is evaluated in vivo by multi-contrast dark blood turbo spin echo imaging to evaluate plaque burden and composition. DCE- MRI can be used to evaluate plaque permeability. Recently, quantitative MR imaging in the form of T1 and T2 mapping of the vessel wall and on evaluating 4D flow, shear stress and circumferential strain in the arterial tree have become popular. 
Venkatesh Mani

9:50
Intracranial Atherosclerosis MR Imaging

·         Intracranial artery atherosclerosis (ICAS) is one of the major causes of ischemic stroke.

·         MR vessel wall imaging techniques have been proposed and optimized dedicated for characterizing ICAS.

·         High risk ICAS features, such as T1-hyperintense, positive remodeling, and contrast-enhancement, can be accurately identified by ICAS MR imaging. 

Xihai Zhao

10:10
Coronary, Aorta & Peripheral Vessel Wall MR Imaging

Magnetic resonance (MR) has emerged as a leading noninvasive imaging modality for assessing the wall disease beyond revealing luminal stenosis. Continued technical innovations are being proposed for MR atherosclerosis imaging, particularly vessel wall imaging, at coronary, aorta and peripheral vascular beds. Detailed knowledge about these techniques would foster adoption of MR as an effective imaging tool in future research and clinical practice. The present lecture will focus on technical developments in MR vessel wall imaging of these arteries.
Zhaoyang Fan

10:30
Break & Meet the Teachers

10:45
Supra-Aortic & Intracranial Vascular Disease

We will review the current recommended imaging parameters to achieve consistent high-quality head/neck contrast-enhanced MRA at both 1.5T and 3.0T.  Discuss the utilization of clinical MPRAGE and 3D FSE T1W sequences to detect intraplaque hemorrhage and possibly necrotic core at the carotid bifurcation.  Review how this additional vessel wall imaging affords better risk stratification of future stroke than carotid stenosis measurements.  Discuss the rapidly evolving intracranial vessel wall imaging (IC VWI) techniques which are currently obtained with works-in-progress investigational sequences.  Early implement has documented the potential added value of IC VWI to identify specific etiologies of proximal intracranial arterial narrowing. 
J. Kevin DeMarco

11:05
Chest & Abdominal

This presentation will discuss the following:

  1. 1. Sequences used for MRA chest & abdomen
  2. 2. Clinical applications for MRA chest
  3. 3. Clinical applications for MRA abdomen
Christopher Francois

11:25
Peripheral Vascular Disease

Upon completion of this course, the attendee will be able to: Identify the appropriate technique for peripheral MRA depending on the available hardware and the clinical question and condition of the patient. Differentiate between different contrast agents and their specific characteristics. Chose between different contrast agent application schemes depending on the technique used and the clinical question. Compare the pros and cons of contrast-enhanced and non contrast-enhanced techniques for peripheral MRA.
Harald Kramer

11:45
Adjournment & Meet the Teachers


Weekend Course

Brain Cancer: from Diagnosis to Treatment

Organizers: Kristine Glunde, Ph.D. & Natalie J. Serkova, Ph.D.

Room 316BC Saturday 8:15 - 12:05 Moderators: Kristine Glunde & Natalie Serkova

8:15
Introduction to Brain Cancer Imaging (incl. RANO Criteria)

This presentation provides an introduction to brain cancer and major treatment options. An overview of current imaging methods is given, including approaches to diagnosis, characterisation and response assessment. The major MR methods available are briefly described, as an introduction to the following more detailed presentations on specific MR imaging Methods. Current approaches to objective imaging based response assessment are discussed.
Martin Leach

8:40
Conventional Imaging: T1, T2 Bright Signal

Noriko Salamon

9:05
From Brain Tumor Angiogensis to MRI Biomarker

The devastating consequence of a brain tumor on a patient’s quality of life and survival has sparked a widespread search for novel therapeutic approaches (e.g. antiangiogenic therapies) to arrest cancer progression. This in turn has galvanized the development of new biomarkers capable of assessing the efficacy of such drugs in vivo. This lecture will provide an overview of how, why and which MRI-derived biomarkers are ideally suited for assessing the angiogenic status of brain tumors, noninvasively and safely in patients. Specifically, this lecture will introduce core concepts about the blood vessels of brain tumors, their role in disease progression, and how one can image them with certain MRI contrast mechanisms, in the preclinical and clinical setting.
Arvind Pathak

9:30
Diffusion & Perfusion Imaging Protocols for Gliomas

We have much to gain by greater incorporation of advanced physiologic MRI methods such as diffusion MRI (DWI) and dynamic susceptibility contrast perfusion MRI (DSC-pMRI) methods into the treatment management protocols for patients with glioma.  To motivate greater use this course will describe how these methods can be used at several critical junctures in the management of patients with glioma.  Current questions and limitations, both scientific and technical, will also be discussed.
Kathleen Schmainda

9:55
Break & Meet the Teachers

10:25
How Helpful is Neurochemical Characterization

Carolyn Mountford

10:50
MRI for Surgical Planning/Intraoperative MRI

Usefullness of intraoperative MRI foe gloma surgery, Akira Matsumura et al.
Akira Matsumura

11:15
Integrated Amide Proton Transfer Imaging in the Assessment of Pre- & Post-treatment Gliomas

Ji Eun Park

11:40
Radiogenomics in Neurooncology

Olivier Gevaert

12:05
Adjournment & Meet the Teachers


Weekend Course

Frontiers in Neuroscience: Preclinical MRI-X

Organizers: Guoying Liu, Ph.D. & Ed X. Wu, Ph.D.

Room 315 Saturday 8:15 - 12:15 Moderators: Albrecht Stroh & Ed Wu

8:15
Preclinical Neural MRI for Basic Neuroscience

Anatomical and functional MRI, complemented by optical imaging methods and electrophysiology, have been at the forefront of unraveling the anatomical and functional organization of the brain. In this talk, we aim to show that high resolution anatomical MRI of the brain can be obtained with remarkable cytoarchitectonic detail, while fMRI can be used to study various sensory systems. Complimentary to MRI/fMRI, optical microscopy enables the simultaneous recording of neuronal activity from thousands of neurons with single cell spatial resolution. When combined together, the practical advantages of multi-modal neuroimaging techniques make preclinical imaging an invaluable avenue in neuroscience research.
Afonso Silva

8:40
Optogenetic fMRI Overview

Jin Hyung Lee

9:05
Optogenetic fMRI Application: Dissecting Brain Networks & Properties

Understanding how individual cells and complex brain networks interact in both time and space has been one of the grand challenges in the 21st century. In 2010, Lee et. al. have demonstrated that optogenetic fMRI (ofMRI) within the living mammalian brain reveals BOLD signals in downstream targets distant from the stimulation site, indicating that this approach can be used to map the global effects of controlling a local cell-type specific neuronal population. Since then, multiple studies have utilized ofMRI to dissect brain networks and properties. In this session, technical considerations in the application of ofMRI will be examined. Studies dissecting brain networks and properties using ofMRI will be reviewed. The opportunities and challenges will be discussed.
Russell Chan

9:30
Deep Brain Stimulation & Chemogenetic fMRI

Electrical deep brain stimulation and chemogenetics are increasingly used with simultaneous fMRI. This lecture will introduce both techniques, discuss the strengths/weaknesses, and make suggestions to pilot studies. 
Yen-Yu Ian Shih

9:55
Break & Meet the Teachers

10:25
Molecular fMRI: Imaging Probes for Brain Functions & Circuits

A new experimental approach termed “molecular fMRI” aims to provide direct, minimally-invasive measures of neural function based on the application of molecular probes detectable in time-resolved MRI experiments. In this talk, we discuss the design and application of suitable probes for molecular fMRI, including their initial deployment for imaging several types of signaling molecules in the living brain. By improving the technology with more sensitive contrast agents and better brain delivery strategies, it will be possible to measure and map an expanding array of neurophysiological processes in animals and ultimately in humans.
Alan Jasanoff

10:50
Origins of BOLD - Neuroscience Perspectives

Our ability to study human brain is limited by the necessity to use noninvasive technologies. This is in contrast to animal models where a detailed view of cellular-level brain function has become available due to recent advances in microscopic optical imaging and genetics. Thus, a central challenge facing neuroscience today is leveraging these mechanistic insights from animal studies to accurately draw physiological inferences from noninvasive signals in humans. On the essential path towards this goal is the development of a detailed “bottom-up” forward model bridging neuronal activity at the level of cell-type-specific populations to noninvasive imaging signals. 
Anna Devor

11:15
Ultrasound Neuromodulation with MRI for Brain Cirtcuitry in Non-Human Primates

In this presentation, I will discuss ongoing work where we are using ultrasound in conjunction with fMRI to modulate and subsequently image brain circuits in non-human primates.
Charles Caskey

11:40
Concurrent TMS with Neuroimaging - Human Applications

Amit Etkin

12:05
Adjournment & Meet the Teachers


Weekend Course

MR Systems Engineering

Organizers: Gregor Adriany, Ph.D. , Mary P. McDougall, Ph.D. & Graham C. Wiggins, D.Phil.

Room 313A Saturday 8:30 - 12:00 Moderators: Priti Balchandani & James Bankson

8:30
MR Systems Overview

This educational talk is designed to provide a broad overview of the functions and interactions of the subsystems of a modern clinical MRI scanner and explain various design constraints originating from engineering and physiological limitations.
Seung-Kyun Lee

9:00
Magnets: Design, Manufacturing, Installation, Present & Future Technology

The field of an MRI magnet is generated by a circulating current through a sectioned superconducting coil, kept at its operating temperature by a refrigerated cryostat. Active shielding coils confine the stray field to a small volume near the magnet. This presentation covers various aspects of design and operation of these magnets.
Johan Overweg

9:30
Shimming: Superconducting & Passive Shims; Higher Order Shims, Shim Arrays & Dynamic Shimming

Shimming denotes the technical procedure to improve the homogeneity of the magnetic field in the MRI system. This presentation will give an overview about why the magnetic field is inhomogeneous at all, and what the consequence is. Passive and superconducting shims as technical means to improve the shim in every MRI system are described. Practical information on when shimming is needed, and what the operator can do to optimize the shim of their MRI system will be given as well. Moreover, latest developments like high-order shim systems, shim arrays and dynamic shimming will be presented.
Laura Schreiber

10:00
Break & Meet the Teachers

10:30
Gradient Coil Design Considerations, Manufacturing & Limitations

This presentation will describe the parameters that characterise the performance of the  gradient coils which are used to generate magnetic fields that vary linearly with position in MRI. The methods for designing cylindrical gradient coils, including the incorporation of active magnetic screening, will then be described, along with boundary element methods that can be used to design coils on any surface. The important elements of coil fabrication will also be considered.
Richard Bowtell

11:00
Gradient Drivers: Amplifier Considerations, Power, Tuning, & Cooling

Blaine Chronik

11:30
Eddy Currents & Interactions: Calibration, Compensation, & Pre-Emphasis

The native accuracy of gradient and shim systems is too low in order to drive MRI sequences. To avoid corresponding image artefacts the gradient chains are feed-backed, pre-distorted and post-corrected based on accurate characterizations or direct measurements of the field evolution in the scanner. In this talk, the underlying principles of the encountered distortions and frequently applied correction methods will be discussed.
David Brunner

12:00
Break & Meet the Teachers


Other

March for Science Special Session

Plenary Hall Saturday 12:00 - 13:00 (no CME credit)

0:00


Weekend Course

Physics for Physicists

Organizers: Herbert Köstler, Dipl.-Phys. & N. Jon Shah, Ph.D.

Room 313BC Saturday 13:15 - 16:45 Moderators: Ana-Maria Oros-Peusquens & Michael Steckner

13:15
Sequences & Simulations

This presentation will provide an overview of the main gradient echo based (gradient spoiled, RF spoiled and balanced steady state free precession) and conventional/fast spin echo based pulse sequences and will illustrate some methods by which their behaviour can be simulated.
Martin Graves

13:45
EPI Acquisition Strategies

The presentation provides a summary of echo planar imaging  (EPI) acquisition techniques with descriptions of methods used to shorten the acquisition interval to improve imaging performance ( resolution, SNR, distortion, and/or coverage)
Walter Block

14:15
EPI Artifacts & Correction Methods

Simone Winkler

14:45
Break & Meet the Teachers

15:15
Diffusion Weighted Imaging & Applications

Diffusion-weighted imaging (DWI) makes use of molecular water motion to probe tissue microstructure. This lecture will focus on the basic principles of DWI acquisition. After introducing the most commonly used diffusion modules, the main acquisition challenges will be discussed.  Typical acquisition approaches will be presented, including single-shot and multi-shot sequences. Examples of frequent DWI image artefacts will be shown, and some of the approaches available for minimizing or correcting for their effect will be presented. The main applications of DWI to brain and body imaging will also be presented, focusing on stroke and lesion characterization.
Rita Nunes

15:45
Diffusion Tensor Imaging & Applications

This presentation will touch upon the following aspects:  general properties of diffusion, acquisition methods, the diffusion tensor model and diffusion indices,

correlations of these indices with other MRI parameters and histology-derived quantities, data sampling strategies, validation strategies, limitations of DTI and applications

Ana-Maria Oros-Peusquens

16:15
q-Space: What is it?

Diffusion MRI can provide useful information on microstructures that are much smaller than the imaging voxel sizes. This presentation will start from the original idea by Callaghan and Cory and Garroway showing that the diffusion NMR signal is the Fourier transformation of the displacement probability function, followed by examples of MRI experiments to infer microstructural properties of biological tissues. The basic concepts of q-space and propagator based methods will be discussed.
Qiuyun Fan

16:45
Adjournment & Meet the Teachers


Weekend Course

MR Systems Engineering

Organizers: Gregor Adriany, Ph.D. , Mary P. McDougall, Ph.D. & Graham C. Wiggins, D.Phil.

Room 313A Saturday 13:15 - 16:45 Moderators: Priti Balchandani & James Bankson

13:15
RF Transmit: Power Delivery, Decoupling, & Duty Cycle

The RF transmit chain is one of several “black box” systems in the MRI scanner. The implementation of the RF transmit chain has remained fairly consistent since the earliest clinical MRI scanners. The advent of parallel transmission (pTX) provides a compelling opportunity to rethink not only the design of the RF power amplifiers (RFPAs) and coils, but of the entire MRI scanner. In this lecture we will review fundamental RFPA concepts such as linearity and efficiency. We will then explore advanced topics relating to pTX, including control, decoupling, local amplifiers, and switchmode amplifiers.
Michael Twieg

13:45
RF Receivers: Signal Detection Chain, Digitization, System Noise Figures - from MRI Signal to Bits

This presentation is designed to give an overview of the building blocks of an MRI receive RF chain, starting with the local MRI coil going all the way to the image processor. 
Arne Reykowski

14:15
Controlling the MR Subsystems: Pulse Sequence Control, Waveform Generation & Real-Time Control

Lecture for scientists and clinicians interested in learning more details about the core software structure and control systems of an MRI machine.
Juan Santos

14:45
Multi-Modality Imaging in an MRI Scanner: Simultaneous Imaging & Therapy - Making the Systems Compatible

Although envisioned since the late 1980s, hybrid PET/MR systems only became commercially available in the last few years and more than a decade later than hybrid PET/CT.  This is explained by the technological challenges originating from the combination of these two very different imaging modalities.  Manifold interferences between the two modalities (in terms of B0, Gradient, RF, Temperature, Photon Attenuation, Space Constraints, Workflow, …) needed to identified, understood and solved.  
Florian Wiesinger

15:15
Break & Meet the Teachers

15:45
Basic MR Safety: SAR to Temperature, Power Deposition/Monitoring, Effects of RF Coils & Field Strength

This lecture will cover basic safety issues related to MRI, focusing on power deposition and radio-frequency heating in the patients. Specific absorption rate (SAR) and its relation to temperature will be discussed. Various methods to simulate, predict,control and mitigate SAR and temperature will be introduced. Finally, the effects of RF coil geometry, field strength/frequency will be explained.
Yigitcan Eryaman

16:15
Peripheral Nerve Stimulation, Implants & Devices: Safe Use & Considerations for MRI

Simone Winkler

16:45
Adjournment & Meet the Teachers


Weekend Course

The Basics of Perfusion & Permeability Imaging

Organizers: Linda Knutsson, Ph.D. & Steven Sourbron, Ph.D.

Room 312 Saturday 13:15 - 16:45 Moderators: Thomas Okell & Ashley Stokes

13:15
The Physiology of Perfusion & Permeability

This presentation will describe the mechanisms of microcirculation within the capillary network, as well as the microvascular parameters.

This knowledge is useful the understand dynamic contrast enhanced MRI (DCE-MRI), design acquisition protocols and analyze the data.

Charles Cuenod

13:45
Tracer-Kinetic Analysis

This seminar is intended to provide a broad overview of tracer kinetic modeling. While the basic underlying concepts are quite simple, there are innumerable details which bear close consideration when electing to utilize these methods to characterize the physiologic properties of various tissues in vivo. Multiple steps are involved in optimization of data acquisition and modeling, all of which must be appropriately adapted to the underlying unknowns. Participants should come away from this seminar with an understanding of these steps and a grasp of what considerations arise in planning and executing tracer kinetic studies.
Matthias Schabel

14:15
Break & Meet the Teachers

14:30
Contrast Agent Methods: Data Acquisition & Image Reconstruction

This lecture presents the main data acquisition and image reconstruction techniques for DCE-MRI and DSC-MRI, and discusses strengths, limitations and opportunities.
Ricardo Otazo

15:00
Contrast Agent Methods - Post -Processing

Post-processing methods for dynamic contrast agent acquisitions offer an improved understanding of the underlying tissue.  Post-processing methods encompass a number of image processing and pharmaco-kinetic modeling techniques that lead to the estimation of physiologically relevant semi-quantitative and quantitative parameters from the acquired dynamic set of images.  Some of the post-processing methods are broadly applicable to several clinical applications that include cardiovascular, tumor, and kidney imaging.
Ganesh Adluru

15:30
Break & Meet the Teachers

15:45
ASL - Data Acquisition

This talk will outline the basic principles of arterial spin labelling (ASL) data acquisition. The different labeling approaches are compared, the compromise in post labeling delay duration is discussed, why background suppression pulses improve the ASL-signal stability is explained, readout options are described, acquisition parameters are explored and examples of both basic and advanced ASL-techniques are shown.

Sophie Schmid

16:15
ASL- Post-Processing

This educational talk will cover common ASL post-processing steps. The talk includes (1) pre-processing of image data, (2) from general to basic models for perfusion quantification, (3) partial volume correction, and (4) advanced perfusion quantification. Focus will be put on the pre-processing and basic perfusion quantification.
André Ahlgren

16:45
Adjournment & Meet the Teachers


Weekend Course

Connectivity: Structure & Function

Organizers: Jennifer A. McNab, Ph.D. & Joshua S. Shimony, M.D., Ph.D.

Room 311 Saturday 13:15 - 17:45 Moderators: Andrada Ianus & Elizabeth Meyerand

13:15
Connectomics Primer

In this talk I will outline basic approaches for charting the organisation of functional connectivity and introduce novel tools and techniques that enable characterisation of functional connectors in terms gradual change in connectivity profiles. I will provide examples of how these techniques can be used in clinical and cognitive neuroscience research.
Christian Beckmann

13:45
Measuring Connectivity with RSFMRI

Connectivity in resting-state fMRI can be evaluated through a variety of different methods. These include methods for static functional connectivity, such as seed-correlation, spatial independent component analysis, and graph theoretical approaches. In addition, dynamic functional connectivity can be assessed using methods such as sliding window correlation, time-frequency analysis, co-activation patterns and temporal independence component analysis.
Mark Chiew

14:15
Measuring Connectivity with Diffusion MRI

I will present the pipeline that is used for computing estimates of structural brain connectivity as obtained with diffusion tractography. Several methodological considerations will be discussed.
Alexander Leemans

14:45
What Correlates with Your Connectome?

Since the introduction of functional and structural connectivity approaches, MRI has been used to assess age-related differences on a brain network level. A systems-level or network approach of brain structure and function provides an intuitive framework for understanding a complex dynamic system. In this talk I will discuss previous research that used MRI to study the effect of aging on brain networks in vivo, through functional connectivity measures derived from resting-state functional MRI and structural connectivity measures derived from diffusion MRI.
Jessica Damoiseaux

15:15
Break & Meet the Teachers

15:45
RSFMRI - correlation with optical imaging in neonates

Diffuse optical imaging (DOI) is a portable imaging modality that provides the ability to perform early and continuous monitoring of brain function. Its portability overcomes many of the technical and logistical challenges of performing MRI investigations in hospitalized patients. While standard DOI systems suffer from low spatial resolution and lack of brain specificity, new developments in hardware and software have overcome many of these technical limitations. In this talk, I will introduce novel DOI techniques developed for bedside mapping of resting-state functional connectivity in neonates and adults and present multi-modal comparisons with functional MRI maps obtained in the same subjects.
Silvina Ferradal

16:15
FMRI - Ecog Correlates

This talk will focus on recent developments in studying the electrophysiologic basis of functional MRI correlations. We will examine methods to measure the spatial correspondence between electrophysiologic band-limited power (BLP) and fMRI correlation patterns in human subjects. We will then discuss the available evidence that correlated, spontaneous activity of the brain exhibits frequency specificity, and outline a hypothesis that the spectral structure of task responses is reflected in the hierarchical organization of RSNs.
Carl Hacker

16:45
Diffusion - Histology Correlates

MRI parcellation and connectivity is widely used in neuroscience, however their validation have been challenging. In this talk, sevreral validation methods will be discussed, such as histology, polarized light imaging and optical coherence tomography.
Caroline Magnain

17:15
Diffusion - Electrophysiology Correlates

The majority of fMRI studies use T2 or T2* weighted scans. Studies have shown that diffusion MRI scans can detect activation. However, the exact biophysical mechanism remains unclear. We will explore the physiology of neuronal activation, the BOLD response, fMRI and diffusion MRI, and how to disentangle the BOLD response and microstructure changes. 
Bernard Siow

17:45
Adjournment & Meet the Teachers


Weekend Course

Novel & Mature MRI Contrast Agents

Organizers: Ichio Aoki, Ph.D. & Guanshu Liu, Ph.D.

Room 314 Saturday 13:15 - 17:15 Moderators: Ichio Aoki & Kevin Bennett

13:15
Chemistry of MRI Tracer

Silvio Aime

13:45
Nanoparticulate Agents for Imaging in Diabetes

Diabetes is a devastating disease hallmarked by high levels of blood glucose (hyperglycemia). While blood glucose measurement is considered a standard procedure for diabetic patients, it does not reflect a true status of functional beta cells and cannot be used for disease monitoring and evaluating the therapeutic response. The development of strategies for the noninvasive assessment of molecular events associated with diabetes constitutes an important healthcare priority. This presentation will focus on the development of imaging agents and techniques that could provide real time non-invasive data of biological parameters and their functions as they relate to diabetes progression and treatment. 
Anna Moore

14:15
Hyperpolarized MRI & MRS Tracers

MRI relies on detecting signals in the radiofrequency range that are related to very small energy transitions of the detected molecules. While this is a blessing with regard to the harmless character of MRI, it imposes a serious problem in terms of the low sensitivity caused by almost vanishing spin polarization at ambient temperature. Increasing the sensitivity through special preparation of the spin system prior to the encoding and detection is therefore a powerful approach. The achieved hyperpolarization has enabled various applications for molecular and cellular imaging. This tutorial will summarize aspects of polarization methods, probe design and signal encoding.
Leif Schröder

14:45
Beyond Proton MRI: 19F MRI & More

19F NMR offers exceptional insights for diverse physiological and pharmaceutical investigations. High sensitivity and lack of interfering background signal in the body have enabled the observation of exogenously administered agents and their metabolites. 19F exhibits a large chemical shift range, which is exquisitely sensitive to the microenvironment. In addition to chemical shift, relaxation processes (R1 and R2), and chemical exchange may be tailored to be responsive to a parameter of interest such as pO2, pH, metal ion concentrations, transgene/enzyme activity or hypoxia. I will review 19F NMR/MRI as a foundation for diverse applications and recent innovations.
Ralph Mason

15:15
Break & Meet the Teachers

15:45
MRI Biosensors

The role of MRI contrast agents is evolving, from enhancing tissue contrast to sensing physiological changes. New generation of MRI biosensors can detect and response to biomarkers such as small molecules, metabolites, metal ions, proteins, enzymes or pH. The major hurdles in translating these biosensors from bench to bedside are their insufficient sensitivity and specificity in vivo. Various biosensors have addressed these issues in specific biomedical applications. In this talk, we will discuss the frontier MRI biosensor designs for imaging biomarkers in vivo, such as using nanomaterials and MRI contrast mechanisms to improve the sensitivity and specificity, and their features to overcome barriers in biomedical applications. 
Kannie WY Chan

16:15
Current Clinical Applications & Future Translation Potential

Zahi Adel Fayad

16:45
Dual-Mode Cellular Imaging for Immunotherapy & Cancer Vaccine Development

Using magnetoGVAX and MRI for serially monitoring the afferent arm of the immune response (DCs), and bioluminescent imaging (BLI) for monitoring the efferent arm (T cells), one can apply dual-mode imaging to better understand the time course of antigen capture, lymph node delivery, and clonal T cell expansion. Depending on the timing of administration, immunoadjuvants either reduce or enhance antigen capture and delivery to the lymph nodes. The lack of antigen delivery to lymph nodes can be consistent with the lack of T cell BLI signal in the lymph nodes.  In those cases, a massive extranodal T cell proliferation occurs in the liver and spleen. These types of studies can show how dual-mode imaging can be used to evaluate and optimize combinatorial cancer vaccines.
Jeff Bulte

17:15
Adjournment & Meet the Teachers


Weekend Course

Cardiac MRI: Function, Perfusion & Viability

Organizers: Reza Nezafat, Ph.D., Sonia Nielles-Vallespin, Ph.D. & Winfred A. Willinek, M.D.

Room 316A Saturday 13:15 - 17:25 Moderators: Andrew Scott & Behzad Sharif

13:15
Clinical Needs & Applications: Evaluation of Cardiac Function

Yuchi Han

13:35
State of the Art: Acquisition & Processing

Cardiovascular MRI provides detailed information about the health status of the heart and the progression of disease. This talk will give course participants an overview of current methods used to evaluate cardiac performance on a global and regional level. Particular focus will be on strengths and weakness of methods to quantify myocardial strain, and atlas based methods for quantifying cardiac remodelling as z-scores.
Alistair Young

13:55
Future Perspectives: Acquisition & Processing

Mehdi Hedjazi Moghari

14:15
Clinical Needs: Ischemic Heart Disease

Cardiovascular magnetic resonance (CMR) has become an established non-invasive imaging modality for the diagnosis of ischemic heart disease (IHD) and contributes important information for therapeutic decisions regarding revascularization. For the identification of ischemia, CMR provides two methods, which are routinely used in clinical practice. Ischemia can be visualized either as regional hypoperfusion when using CMR-perfusion imaging during vasodilator induced hyperaemia, or as impaired regional wall motion under dobutamine stress CMR. CMR has proven its robustness, diagnostic performance and prognostic value in patients with IHD in several multicenter trials.
Alexander Gotschy

14:35
Quantitative Myocardial Perfusion

Quantification of myocardial blood flow (MBF, in the unit of ml/min/g) is more objective to assess myocardial micro-circulation under rest and pharmaceutical or exercise stress condition and capture global flow reduction. Although perfusion quantification has been studies for the past 20 years, it is still not clear how to build a practical quantitative myocardial perfusion workflow. This syllabus reviews key components of such system and emphasizes on motion correction, intensity to Gd concentration conversion and Gd kinetics modelling. With recent developments more focusing on the automation and completeness of entire workflow, including fully automated processing and motion correction, the quantitative perfusion is becoming clinically practical.
Michael Hansen

14:55
Dobutamine Stress MRI

Connie Tsao

15:15
Break & Meet the Teachers

15:45
Clinical Needs & Applications: Myocardial Tissue Relaxometry

This lecture will discuss the clinical needs and applications of myocardial relaxometry.  We will discuss the need to develop relaxometry imaging biomarkers which are sensitive, specific, predictive and robust. These criteria will need to be fulfilled to make clinical decisions in individual patients.  We will also discuss current and emerging clinical applications of myocardial relaxometry.
Michael Salerno

16:05
Myocardial T1 Imaging Techniques

Sebastien Roujol

16:25
Myocardial T2 & T2* & T1 Rho Mapping Techniques

MRI measures of signal decay without refocusing, with intermittent refocusing and with continuous refocusing reflected by time constants T2*, T2, and T1ρ can yield important clinical information in myocardial pathophysiology. T2* is used to characterize iron overload, although specificity is reduced by susceptibility effects. By incorporating refocusing of static inhomogeneity effects, T2 yields more specific characterization of signal changes associated with changes in blood oxygenation reflecting ischemia and changes in water mobility reflecting inflammation. Decreasing refocusing interval reduces dephasing due to diffusion through gradients and chemical exchange effects and has been used to increase T1ρ contrast between healthy and infarcted myocardium.
Graham Wright

16:45
Clinical Needs & Applications

The following presentation will outline the clinical needs and applications for the use of CMR for cardiac function, perfusion and viability in clinical cardiology.
Raymond Chan

17:05
State of the Art: Viability Sequences

This talk will be presenting recent advances in late gadolinium enhancement (LGE) cardiac imaging which can overcome limitations of the standard protocol based on inversion recovery segmented 2D acquisition. The advanced approaches to be discussed will include single-shot imaging with motion corrected averaging, single-breath-hold 3D imaging, free-breathing isotropic 3D imaging with respiratory, and techniques to improve scar-blood contrast and scar-fat contrast.  
Taehoon Shin

17:25
Adjournment & Meet the Teachers


Weekend Course

Imaging Biomarkers of Brain Disorders

Organizers: Kelvin O. Lim, M.D. & Kei Yamada, M.D.

Room 316BC Saturday 13:15 - 17:15 Moderators: Kelvin Lim & Kei Yamada

13:15
Diffusion as a Biomarker for Brain Disease

This session focuses on and tries to appraise diffusion MRI (dMRI)-derived imaging biomarkers (dMRI-IB) for brain disease. To categorize dMRI-IB: 1) confirm the definition of IB; 2) proceed through dMRI-derived measures and applications; 3) introduce the possible candidate of dMRI-IB; and 4) discuss about barriers that dMRI-IB candidates should overcome. In addition, this session will address following issues: 1) why only limited dMRI measures can be considered for IB? 2) what is the problem for dMRI-IB candidates to become true IB? 3) what can we do for creating new IB?
Koji Sakai

13:45
fMRI as a Biomarker for Brain Disease

In this talk I will discuss current progress and challenges in the use of brain imaging for single subject prediction.
Vince Calhoun

14:15
MRS as a Biomarker for Brain Disease

Carolyn Mountford

14:45
Panel Discussion

15:00
Break & Meet the Teachers

15:30
State of the Art - Depression

Major depressive disorder is a serious public health problem, representing a leading cause of worldwide disability, and a major contributor to suicide. While treatments exist to address this problem, they are not always efficacious, highlighting the need for more research to better understand the neural circuitry underlying depression and its treatment. In the past 2 decades, human neuroimaging research has made great strides in providing information about which neural circuits are implicated in depression. In this talk we will review some of the major contributions to this body of knowledge including research using structural neuroimaging, positron emission tomography, and functional magnetic resonance imaging. We will also discuss the smaller but emerging literature using these tools in the context of clinical trials to begin to understand predictors and mechanisms of treatment response in patients with depression. While there have been great strides forward in understanding the neural circuitry underlying depression, much work still remains before this knowledge can be applied in the clinic.  Heterogeneity in the findings across studies may reflect heterogeneity of MDD itself, where individuals that fall under the same diagnosis may have different neural circuitry signatures. Advanced methods that are designed to better understand these differences across subjects could provide the traction needed to develop personalized treatment approaches.
Kathryn Cullen

16:00
State of the Art - Epilepsy

Epilepsy is a broad syndrome that results in societal, economic and medical burdens. Identification and development of MRI based biomarkers  that are predictive of epileptogenesis are urgently needed. We describe the development of one such biomarker for febrile seizures. Once definitive biomarker imaging approaches have been validated, therapeutic interventions can then be investigated.
Andre Obenaus

16:30
State of the Art - Parkinson's Disease

The major role of the imaging used to be ruling out other disorders which present the symptoms of Parkinsonism. However, there are several imaging method which can visualize the abnormality in the Parkinson’s disease including neuromelanin image, diffusion images or susceptibility weighted imaging. This lecture will discuss on the recently developed imaging method for Parkinson’s disease or related disorders.
Toshiaki Taoka

17:00
Panel Discussion

17:15
Adjournment & Meet the Teachers


Weekend Course

Quantitative Susceptibility Mapping & Electrical Properties of Tissues

Organizers: Dong-Hyun Kim, Ph.D., Chunlei Liu, Ph.D. & Peter van Zijl, Ph.D.

Room 315 Saturday 13:15 - 17:15 Moderators: Dong-Hyun Kim & Sina Straub

13:15
Interaction of Electromagnetic Fields with Tissue

The interaction of electro-magnetic fields with tissues is mediated by Maxwell Equations and inherently related to the existing dielectric and magnetic tissue properties.

In this presentation we will cover some of the aspects known regarding: the physical mechanisms behind of magnetic susceptibility; the conductivity and electric permittivity at the frequencies of interest in MRI (MHz in the case of the resonating radio-frequency waves, and KHz in the case of  the switching of encoding gradients).

The way these interactions influence not only the images acquired in MRI but also the comfort of subjects will be addressed.

José Marques

13:35
Principle of QSM: Physics & Contrast Mechanism

The principles of obtaining the physical quantity of magnetic susceptibility using MRI are being presented. Quantitative Susceptibility Mapping (QSM) reflects tissue susceptibility using the MR phase information acquired using a gradient echo sequence. To obtain susceptibility maps several steps are required in the reconstruction, including (i) phase measurement, (ii) field map estimation, (iii) background field removal, and (iv) susceptibility map calculation by solving the inverse problem. Examples and challenges of QSM are presented and discussed.
Markus Barth

13:55
Principle of Electrical Properties Mapping

This study gives an overview of the principles of Electrical Properties Tomography. The aim is to introduce researchers new to EPT in the basic EPT reconstruction principles, EPT artifacts and new directions.

It reviews Helmholtz based reconstruction, B1+ phase and transceive phase, boundary errors of EPT, forward vs inversion based EPT reconstruction and the synergy of EPT at high fields.

Cornelis van den Berg

14:15
Break & Meet the Teachers

14:30
Application of QSM in the Brain: Neurovasculature

Clinical application of QSM in pediatric brain will be discussed including its clinical role for evaluating normal and abnormal cerebral neurovasculature, vascular malformations, and hemorrhagic conditions through various clinical scenarios. In addition, plural contrast imaging feasible with 3D GRE multi-echo imaging will be addressed and its potential role in assessing various types of pediatric brain pathology. Use of Ferumoyxtol as a nan-oparticle vascular agent to augment neurovascular diagnostic evaluation will be addressed through clinical examples.  Finally, pitfalls and artifacts associated with QSM and T2* imaging will be discussed. 
Kristen Yeom

14:50
Application of QSM in the Brain: Neurodegenerative

Iron measured by MRI in vivo would contribute to searching for iron-related biomarkers in neurodegenerative diseases, like Parkinson's disease. 

Here, we would like to briefly introduce the technological development of MRI in assessing brain iron, discuss the nigral iron as a potential marker for PD in both clinical and prodromal stages, further put insight into other influences of regional iron on PD symptoms.

Minming Zhang

15:10
Application of QSM in the Body

The brain has long been a major focus for QSM, while applications of QSM outside the brain have occurred more recently. This course deals with both the technical aspects specific to QSM of the body and some of its clinical applications.
Pascal Spincemaille

15:30
Application of Electrical Properties Mapping

The contrast in electrical properties (EP’s) between regions of interest (ROI’s) is typically limited to less than 30%; within-subject and between-subject variability is also on the order of 30%. The SNR of reconstructed EP’s depends on the reconstruction method used; for Laplacian-based EP reconstruction, SNR depends on field strength, absolute value of EP’s and (ROI_size)3.5.  At 3T and 7T, some applications for which relatively large ROI EP’s are sought have promising results using standard EP reconstruction. In order for EP mapping to become a reality at spatial resolutions useful for clinical diagnosis, more advanced reconstruction methodologies are likely needed.
Ileana Hancu

15:50
Break & Meet the Teachers

16:05
Review of Algorithms of QSM

Quantitative susceptibility mapping aims to solve the magnetic dipolar inverse problem to reconstruct tissue magnetic susceptibility distributions from single- or multi-echo GRE phase data. Being an ill-conditioned inverse problem, computation of magnetic susceptibility is challenging and requires conditioning. Several approaches to solve this problem exist, including threshold-based masking or kernel modification, utilizing data redundancy achieved by multiple MRI measurements with different orientations of the object, or applying regularization techniques that incorporate prior information about the spatial distribution of susceptibility. Several of these approaches will be reviewed in this lecture.
Jürgen Reichenbach

16:25
Microstructural Effect on Susceptibility

High field studies have brought to light not only that the composition of tissues affects MRI susceptibility contrast, but also that a tissue’s sub-voxel structure at scales all the way down to the molecular level plays an important role as well. In this overview, various ways will be discussed by which sub-voxel structure can affect magnetic susceptibility contrast, and the extraction of quantitative magnetic susceptibility values.  In addition, opportunities study the microstructural aspects of brain tissue with susceptibility weighted MRI will be reviewed, with an emphasis for inferring the orientation of fiber bundles in white matter and the relative size of the myelin water compartment.  
Jeff Duyn

16:45
QSM Software Demo

This demo focuses on the processing pipeline of the 2016 QSM Reconstruction Challenge. The aims of the Challenge were (i) to test the ability of QSM algorithms to recover the underlying susceptibility from phase data, and (ii) to provide a dataset that would help benchmark existing and future techniques. The demo begins with raw phase data and applies unwrapping, background removal, transmit phase mitigation, and finishes with fast dipole inversion techniques: TKD and Closed-Form L2-regularization. This replicates the pipeline through which the benchmark susceptibility maps were computed for the Challenge, and can serve as a starting point in future studies. 
Berkin Bilgic

16:45
QSM Software Demo

We have developed robust QSM software for both clinicians and researchers. For clinicians interested in using QSM in their daily practices, we present an automated QSM workflow that can be implemented across major MRI manufacturers at both 1.5 and 3T. QSM is automatically reconstructed and available for viewing at the end of each patient MRI session. For researchers interested in further developing QSM algorithms, we present MATLAB tools and source codes for the core Bayesian QSM algorithm, along with implementation for nonlinear field estimation, field unwrapping and background field removal. A GUI tool is provided and demonstrated.
Zhe Liu

16:45
QSM Software Demo

Quantitative susceptibility mapping (QSM) and susceptibility tensor imaging (STI) are two recently developed imaging methods for quantifying tissue’s magnetic property. Magnetic susceptibility offers a new contrast for high-resolution anatomical imaging; it further provides important information on tissue’s chemical composition, especially myelin and iron, and white matter microstructures of the brain. However, processing QSM and STI still requires advanced technical expertise. The growing application and wider acceptance of this new technique has generated a need for a comprehensive software package that can easily perform all these analysis. Here, we have developed such a tool named “STI Suite”. This software is based on our previous works. In this Matlab-based software package, we have implemented the essential algorithms for phase processing, QSM, STI, and related analysis tools. To facilitate the dissemination and evaluation of these methods, we make STI Suite freely available at http://people.duke.edu/~cl160/ for non-commercial academic use. STI Suite contains both Matlab command-line functions and graphical user interfaces (GUIs) for phase processing, QSM, STI, and related visualization and ROI analysis tools.

Hongjiang Wei

17:15
Adjournment & Meet the Teachers


Other

Newbie Reception

Hilton Hawaiian Village Great Lawn Saturday 19:00 - 21:00 (no CME credit)



Sunday, 23 April 2017

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Other

ISMRM Fun Run 2017

Sunday 5:00 - 7:30 (no CME credit)


Weekend Course

IVIM & Cerebrovascular Reserve

Organizers: Hanzhang Lu, Ph.D. & Stephan E. Maier, M.D.,Ph.D.

Room 311 Sunday 8:15 - 11:45 Moderators: Hanzhang Lu & Stephan Maier

8:15
Introduction to IVIM

Intravoxel Incoherent Motion (IVIM) refers to translational movements which within a given voxel and during the measurement time present a distribution of speeds in orientation and/or amplitude. The IVIM concept has been used to estimate perfusion in tissues as blood flow in randomly oriented capillaries mimics a pseudo-diffusion process. IVIM-based perfusion MRI, which does not require contrast agents, has gained momentum recently, especially in the field oncology. In this introduction the basic principles, models, technical requirements and limitations inherent to IVIM-based perfusion MRI, as well as new, non-perfusion applications of IVIM MRI, such as virtual MR Elastography will be outlined.   
Denis Le Bihan

8:45
IVIM in the Body

Intravoxel incoherent motion (IVIM), which decomposes diffusion-weighted MRI signals in to microcirculation and microstructural components, has seen tremendous application throughout the body.  This presentation will review the major trends, findings, and challenges of this surge of activity.
Eric Sigmund

9:15
IVIM in the Brain

The lecture targets physicists, engineers and physicians with an interest in advanced brain perfusion imaging with intravoxel incoherent motion. 
Christian Federau

9:45
Break & Meet the Teachers

10:15
Introduction To Cerebrovascular Reserve & Its Measurements

Cerebrovascular reserve is a marker of the brain's ability to compensate for a decreased perfusion pressure which would otherwise lead to a decreased cerebral blood flow with consequently ischemic events. In this lecture we will describe the concept of cerebrovascular reserve, we will briefly go through the different MRI methods to evaluate the cerebrovascular reserve and we will describe the challenges available to assess the cerebrovascular reserve. 
Jill De Vis

10:45
MRI Measurement of Cerebrovascular Reactivity: Clinical Implementation

The interest in translating MRI mapping of cerebrovascular reactivity (CVR) for the clinical assessment of hemodynamic insufficiency secondary to cerebrovascular disease is increasing. This presentation will focus on the current issues and potential solutions facing widespread dissemination of this methodology. Issues regarding the flow stimulus, flow sensitive pulse sequences, data analysis, and clinically relevant detection thresholds will be presented.
David Mikulis

11:15
Applications of Cerebrovascular Reserve: Vascular Disease, Tumor, fMRI, Etc.

Measuring the brain perfusion responsive to the external vasodilators, termed cerebrovascular reactivity (CVR), is a useful tool towards better understanding of brain pathophysiological conditions, such as arterial stenosis, brain tumor, dementia, and traumatic brain injury. Moreover, CVR evaluation could serve as a novel approach to normalize the BOLD fMRI signal and quantify neural activity evoked by stimulation in calibrated fMRI as well, paving the way for neuroscience research.
Shin-Lei Peng

11:45
Adjournment & Meet the Teachers


Weekend Course

Body MRI: Optimize Your Clinical Practice: Approach to Setting Up a Body MRI Practice

Organizers: Kathryn Fowler, M.D., Kartik Jhaveri, M.D., F.R.C.P.C., Lorenzo Mannelli, M.D., Ph.D. & Edwin J.R. van Beek, M.D., Ph.D., M.Ed., FRCR

Room 315 Sunday 8:15 - 9:45 Moderators: Vikas Gulani & Darren Lum

8:15
An Update on Pulse Sequences & Hardware for Body MRI

This presentation will provide an update on pulse sequences and hardware for body MRI. This presentation is by no means a complete overview of the new hardware and pulse sequence development; due to the time constraints, this talk will highlight a few important developments pertinent to body MRI.
Shahid Hussain, MD, PhD, FACR

8:45
Contrast Agents & Their Applications

This educational talk provides a broad overview of gadolinium based contrast agents (GBCA) for MRI with a focus on the types of gadolinium chelators, toxicity concerns with a focus on nephrogenic systemic fibrosis (NSF), as well as potential applications for specific GBCA. Although numerous MRI contrast agents have been developed, this talk will focus on those that are clinically available to inform radiologists of potential clinical applications for GBCA. 
Joseph Ippolito

9:15
Non-Contrast Enhanced MR Imaging of the Body

Contrast is widely used in body MRI, but is it always necessary? This presentation will review clinical scenarios and protocols where contrast may not be required.
Ruth Lim

9:45
Break & Meet the Teachers


Weekend Course

Multiparametric Imaging in Cancer: How & Why

Organizers: Gregory J. Metzger, Ph.D. & Natalie J. Serkova, Ph.D.

Room 314 Sunday 8:15 - 12:05 Moderators: Gregory Metzger & Natalie Serkova

8:15
Quantitative Multiparametric Imaging in Oncology

This course will introduce the different imaging modalities that are used in (clinical) oncology research. This lecture gives a brief overview of these imaging techniques and the quantitative information that can be derived from it. Combining information from different modalities can aid in answering typical questions related to oncology.  

Learning goals

At the end of this lecture you will know:

·       What different MR modalities are being used in oncology research (and clinic).

·       What their quantitative endpoint is.

·       What other imaging modalities such as PET and optical imaging have to offer for oncology (research) and what their quantitative endpoint is.

·       How information of different modalities can be combined in research and clinical questions.   

Jannie Wijnen

8:40
What Is the Ground Truth - Calibration & Standards

MR-based quantitative imaging biomarkers (QIBs) can provide anatomic and functional measures critical to the successful delivery of precision medicine by informing treatment selection, providing early non-invasive assessment of treatment response, and providing post-treatment surveillance.  There are significant barriers, however, to successful implementation of such measures across imaging systems, centers, and time, including the need for phantoms (physical and digital) and standards.  This presentation will provide examples of MR-based QIBs, describe key challenges to their disseminated implementation, and provide examples of approaches that a variety of agencies and organizations are taking to address those challenges.
Edward Jackson

9:05
Parameters Derived from Diffusion Weighted Imaging

John Gore

9:30
Dynamic Contrast Enhanced (DCE) Imaging - Heuristic Versus Quantitative

This lecture discusses the heuristic and quantitative methods for DCE-MRI data analysis, the clinical applications of both approaches in cancer imaging, the major factors that cause variabilities in the estimated heuristic metrics and quantitative pharmacokinetic parameters, and the need for standardization of data acquisition and analysis to improve reproducibility and repeatability and for consensus/guideline on whether heuristic or quantitative data analysis is the best-practice approach for a particular cancer imaging problem or topic.
Wei Huang

9:55
Break & Meet the Teachers

10:25
Other Methods: DSC, BOLD, ASL, MRS

This course will present a high level overview of the “other” MRI methods (dT1, DSC, BOLD, ASL, MRS) that have been used for the assessment of cancer, with a focus on their utility in brain tumors.  The specific emphasis will be on quantification, which is becoming increasingly necessary to detect and track changes over time with the goal of optimal response assessment.
Kathleen Schmainda

10:50
Feature Extraction & Radiomics

Radiomics is defined as: " “conversion of digital medical images into mineable high-dimensional data… motivated by the concept that biomedical images contain information that reflects underlying pathophysiology and that these relationships can be revealed via quantitative image analyses”. Radiomic features are comprised of imaging biomarkers (IB)Some key questions must be answered at an early stage: “Does the IB fulfill an unmet clinical need?”; “Does data exist to evaluate the IB and if not can it be obtained?”. At an early stage, technical validation including assessment of precision through repeatability and reproducibility must be determined. Furthermore, biologic and clinical validation must also be performed. Cost effectiveness must also be considered. The paradigm and consideraiton in radiomics research wil be reviewed.
Masoom Haider

11:15
Quantitative Multi-Model PET/MR Imaging in Oncology

PET and MR are two imaging modalities that complement each other, and by combining the two, both the anatomical depiction of MRI, and the high molecular sensitivity of PET can be exploited. With truly integrated PET/MR systems, PET and MR images can be acquired simultaneously in one imaging session, saving time and securing minimal need for registration between images. Within oncology, PET/MR could be a viable option in cancers where MR is the preferred imaging modality and where PET/CT currently has a limited role in the clinic.
Kirsten Selnæs

11:40
Panel Discussion

12:05
Adjournment & Meet the Teachers


Weekend Course

Translational Musculoskeletal Imaging: from Qualitative to Quantitative

Organizers: Jenny T. Bencardino, M.D., Eric Y. Chang, M.D., Christine Chung, M.D. & Philip Robinson, M.D.

Room 316A Sunday 8:15 - 12:15 Moderators: Neal Bangerter & Catherine Roberts

8:15
MR Imaging Around Metal: Technical Aspects

Orthopedic implants cause significant artifact in MRI. Here, we will make a classification of these artifacts. Then approaches to minimize the susceptibility related artifacts are desciribed, such as the use of "wide band" sequences, view angle tilting and multi-spectral imaging methods. 

Clemens Bos

8:50
MR Imaging Around Metal: Clinical Applications

Metal implants are now commonplace in modern medicine. MRI evaluation of symptomatic patients with orthopedic hardware used to be severely limited by susceptibility artifact. However, recent advances in metal suppression techniques allow improved imaging around metal, making MRI effective for evaluation of patients with symptomatic implants, even at higher magnetic field strengths. This lecture will cover some of the common clinical applications of metal suppression MRI, particularly with respect to total hip and knee arthroplasties, and will also demonstrate the utility of metal suppression with respect to other implants and in the evaluation of patients with spinal hardware.
Kathryn Stevens

9:25
Acceleration Methods: Technical Aspects

MR quantitative imaging have been shown to be promising markers for detecting early degeneration and predicting disease progression in musculoskeletal (MSK) imaging due to its relatively independence of scanners/protocols. However, the long acquisition time and associated low resolution quantitative imaging have impeded their wide applications in clinical trials and practice. Recently compressed sensing and parallel imaging based acceleration methods have shown promise to address these challenges such that the quantitative imaging can be translated into clinical practice. Despite the extensive studies in other applications such as brain imaging, MR quantitative imaging in MSK has been overlooked. This course will teach some acceleration methods combining compressed sensing and parallel imaging and show their applications in MSK imaging. 
Leslie Ying

10:00
Acceleration Methods: Clinical Applications

Multiple different methods are now available which can been used to accelerate musculoskeletal MRI and improve the efficiency of MRI protocols for evaluating musculoskeletal diseases without compromising image quality or diagnostic performance.  These methods including the use of highly efficient spiral and radial k-space trajectories, 3T scanners, parallel imaging acceleration, isotropic resolution imaging, compressed sensing k-space under-sampling, and T2 shuffling. 
Richard Kijowski

10:35
Break & Meet the Teachers

11:05
MSK Applications of Diffusion Weighted Imaging: Technical Aspects

The objective of this talk is to present a hands-on on the acquisition and processing of diffusion-weighted imaging tailored to MSK applications. In this presentation we will

explain how diffusion is measured and which is the meaning of the experimental parameters;
  • discuss the different acquisition strategies for diffusion-weighted imaging; and learn how to optimize a diffusion protocol for a given


Jose Raya

11:40
MSK Applications of Diffusion Weighted Imaging: Clinical Applications

Won Hee Jee

12:15
Break & Meet the Teachers


Weekend Course

Traumatic Brain Imaging: Whom, How, When

Organizers: Alex L. MacKay, D.Phil. & Andre Obenaus, Ph.D.

Room 312 Sunday 8:15 - 12:15 Moderators: Tim Duong & Andre Obenaus

8:15
MRI in Current Clinical Practice for TBI

Esther Yuh

8:45
Animal Models for MRI in TBI

TBI is devastating yet currently without a cure. Investigators are seeking therapeutic strategies through the preclinical animal model to elucidate changes occurring after brain injury and identify potential neuroprotective therapies for brain-injured patients. The choice of animal model depends on the research goal and underlying objectives. This lecture will introduce the animal models of TBI commonly used for MRI study and explain their biomechanical, pathological and neurological differences in characteristics. Recent advances of MRI in probing the pathophysiology responses in experimental TBI will also be reviewed.
Tsang-Wei Tu

9:15
Advances in White Matter Imaging

Sumit Niogi

9:45
Neurovascular Consequences of Traumatic Brain Injury

Blood flow dysregulation is known to occur immediately after traumatic brain injury. Since neurovascular coupling is an essential component for maintaining the health of the neurovascular unit, impairment of this important regulatory mechanism can have significant implications on recovery from injury and may therefore be involved in the persistence of symptoms after injury. The ability to map dysregulation of blood flow using BOLD MRI cerebrovascular reactivity mapping offers the ability to investigate blood flow control providing a method to further understanding the relationship between post-injury blood flow derangements and recovery from injury. 
David Mikulis

10:15
Break & Meet the Teachers

10:45
Brain inflammation in Trauma – MRI, MRS & New Radioligands

Both early and chronic inflammation are therapeutic targets in brain trauma. New PET radioligands allow targeting of several key components of the CNS inflammation. This talk will review the emerging PET tracers for neuroinflammation, and consider them in the context of experimental traumatic brain injury, temporal disease progression, and available MRI and MRS approaches.
Riikka Immonen

11:15
Large Scale Clinical Studies in TBI

Pratik Mukherjee

11:45
Controversies in TBI

Enduring neuroimaging controversies exist in the study of traumatic brain injury (TBI) especially related to mild TBI (mTBI).  The presentation begins with a brief historical overview of various definitional statements as to what constitutes a TBI, especially involving “concussion.” Although various lesion quantification methods have become standard, when to scan post-injury and what to quantify remain part of the debate. Individual differences and the heterogeneity of the injury complicate and may mask effects at the individual level. With advanced neuroimaging techniques, controversies remain as to acquisition, post-processing and study design questions and what outcome metrics should be examined.
Erin Bigler

12:15
Adjournment & Meet the Teachers


Weekend Course

CEST Imaging

Organizers: Guoying Liu, Ph.D. & Peter van Zijl, Ph.D.

Room 316BC Sunday 8:15 - 11:45 Moderators: Guanshu Liu & Ravinder Reddy

8:15
CEST, Basic Principles, Contributions To Z-Spectrum

The purpose of this lecture is to introduce the ideas underlying 1) exchange effects in MRI, and CEST in particular; 2) the contributions to CEST contrast; 3) CEST comparisons to spectroscopy; and 4) current issues in CEST research related to pulse sequence design, imaging metrics, and solute specificity.
Daniel Gochberg

8:35
CEST Theory, Exchange, T1p, T2 Relationship

Analytical solutions provide sound insight in the Bloch-McConnell equations that underlie every exchange-weighted contrast, be it CEST, T1p or T2. In this lecture we show that for all experiment affecting the water magnetization, a single eigenvalue solution is able to describe all these experiments. This knowledge forms the basis for interpretation of the outcomes of different exchange-weighted contrasts as well as quantification of exchange.
Moritz Zaiss

8:55
Pulsed Exchange Transfer Technologies

Creative applications of pulse techniques can provide a way to increase detectability and specificity of CEST contrast. In this presentation, we will discuss the advantages and limitations of several pulsed CEST techniques including pulsed saturation, chemical exchange rotation transfer (CERT), frequency labeled exchange (FLEX), and variable delay multi-pulse (VDMP) methods. 
Xiang Xu

9:15
Break & Meet the Teachers

9:30
Designing ParaCEST Agents (BASIC, Responsive)

This presentation will review Paramagnetic Chemical Exchange Saturation Transfer (ParaCEST) MRI contrast agents. These agents should be thoroughly characterized with regard to their dependence on saturation time, saturation power, concentration, pH and temperature.  Responsive ParaCEST agents can detect or measure enzyme activity, metabolites, metal ions, pH, redox state, temperature, and light. Some ParaCEST agents can also exhibit T2-Exchange relaxation. The intermediate exchange rate of a T2ex agent does not affect the T1 relaxivity of the agent.  Therefore, the T2/T1 ratio of a T2ex agent can be employed to detect a biomarker.  
Marty Pagel

9:50
LipoCEST, Basic Principles & Applications

Daniela Delli Castelli

10:10
DiaCEST Probes (Reporter Genes, Ion Detection, pH Etc)

In light of the recent demand for new tools that will allow better investigation of complex biological processes, a new field has evolved at the interfaces of synthetic chemistry, molecular engineering, and cellular imaging. Label-free molecular probes based on diaCEST agents for molecular and cellular imaging applications provide the scientific community with unprecedented versatility to monitor wide range of biological events in health and disease. Although diaCEST molecular sensors should be further developed, their performances marks the dawn of a new scientific era for molecular and cellular MRI
Amnom Bar-Shir

10:30
Break & Meet the Teachers

10:45
APT-Weighted MRI of Cancer & Ischemia

Amide proton transfer-weighted (APTw) imaging, a variant of the CEST-based molecular MRI technique, is based on the chemical exchange between free bulk water protons and the amide protons (-NH) of mobile proteins and peptides. Theoretically, the APTw-MRI signal relies mainly on the mobile amide proton concentration and amide proton exchange rate which are related to tissue pH. Therefore, APTw-MRI has the potential to detect brain tumors (where many proteins are overexpressed) and ischemic strokes (where pH drop). Early pre-clinical and clinical data suggest that APTw imaging has unique features by which to detect and characterize brain tumors and strokes.
Hye-Young Heo

11:05
Other Endogenous CEST Studies: GagCEST, GluCEST, Cr, etc.

The aim of this presentation will be to give the MRI practitioner a good overview of the methods used in CEST and MT imaging, the current state of the art, and to outline the opportunities and limitations of the methods with respect to particular applications.
Alexej Jerschow

11:25
GlycoCEST, GlucoCEST, pH Agents, Translation to Humans

CEST is a powerful technique to measure metabolites and other molecules in small concentration through indirect exchange of its labile protons by saturation transfer. In this presentation, a review of its use to indirectly assess metabolic processes is presented, based on amide proton transfer imaging, as well as GlucoCEST and GlycoCEST.
Xavier Golay

11:45
Adjournment & Meet the Teachers


Weekend Course

RF Engineering: Coils

Organizers: Gregor Adriany, Ph.D. , Mary P. McDougall, Ph.D. & Graham C. Wiggins, D.Phil.

Room 313A Sunday 8:30 - 12:00 Moderators: Ryan Brown & Hiroyuki Fujita

8:30
Basics of Transmission Lines & Power Transfer

Fundamentals of transmission lines and power transfer are presented to help in the understanding, design, implementation and performance evaluation of MRI hardware.
Natalia Gudino

9:00
Volume & Surface Coils

RF coils (antennas) for MRI are designed to generate a RF magnetic field inside the patient. Large body volume coils are optimized for the generation of a homogeneous RF magnetic field. Local surface coils are designed to provide high signal to noise ratio. Different designs and related physical aspects are discussed.
Christoph Leussler

9:30
Multi-Tuned Coils

X-nuclei (13C, 31P, 19F etc) MRI and spectroscopy are of great interest since these methods provide a non-invasive technique to study in-vivo metabolite changes due to various diseases. To provide anatomical landmarks for interpretation of X-nuclei spectroscopic data, 1H anatomical images are required. To eliminate uncertainties associated with repositioning the patient, the RF coil must also resonate at the 1H frequency. This technique is called double-tuning (DT) of the RF coils. The choice of DT design is determined by the requirements of a specific application. Various methods of constructing DT RF surface coils, volume coils, and phased arrays are discussed.
Nikolai Avdievich

10:00
Break & Meet the Teachers

10:30
Receive Arrays & Circuitry

Boris Keil

11:00
Transmit Arrays & Circuitry

As the main magnetic field strength increases, the corresponding RF wavelength is shortened. This leads to pronounced wave effects in the transmit field, causing inhomogeneous excitation. Multi-channel arrays provide additional degrees of freedom to mitigate such effects and to manipulate (or to tailor) RF transmission. Roughly these can be divided in 3 types, namely local arrays, remote circumferential arrays and travelling wave arrays. Examples of these arrays are presented in this educational talk.
Stephan Orzada

11:30
RF Modelling

Mikhail Kozlov

12:00
Break & Meet the Teachers


Weekend Course

Image Acquisition & Reconstruction

Organizers: Edward V.R. DiBella, Ph.D. & Neville D. Gai, Ph.D.

Room 313BC Sunday 8:30 - 12:00 Moderators: Mariya Doneva & Neville Gai

8:30
MR Basics (Refresher) Recap of Physics of RF & k-Space Acquisition.

Daniel Herzka

9:00
Excitation & Parallel Transmission

William Grissom

9:30
Cartesian & Non-Cartesian Sampling Schemes - Advantages & Disadvantages

This educational talk will cover the advantages and disadvantages of Cartesian and non-Cartesian sampling techniques.  Cartesian, radial, and spiral k-space scanning methods will be compared with respect to scan efficiency, hardware considerations, off-resonance effects, motion sensitivity, and scan acceleration.  
Craig Meyer

10:00
Break & Meet the Teachers

10:30
Motion Sensitization: PC Imaging etc

Motion sensitization techniques are used in various applications, such as flow imaging, black blood imaging, bright blood imaging, etc. Technical differences in motion/flow sensitization methods are discussed in this presentation. 
Mitsue Miyazaki

11:00
Motion Compensation: Pulse Sequence & Reconstruction Strategies

Over the past decade Magnetic Resonance Imaging (MRI) has become an increasingly important non-invasive tool in risk assessment and treatment monitoring of cardiovascular disease. However, despite ongoing progress and developments in MR acquisition and reconstruction technology, physiological motion remains a major problem in many cardiovascular MRI applications. Since MR acquisition is slow compared to physiological motion, the extensive cardiac and respiratory induced motion of the heart during the acquisition period can degrade image quality by introducing ghosting and blurring like motion artifacts. Several cardiac and respiratory motion compensation techniques have been proposed over the last two decades to overcome this problem. These techniques are based on minimizing or correcting the motion during the acquisition. This part of the Image Acquisition & Reconstruction Course at ISMRM 2017 will include an overview of some of these methods, discussing their strengths and limitations.
René Botnar

11:30
Reduced FOV, Reference Scans, Gradient Pre-Emphasis

This lecture focuses on three pulse sequence strategies to increase spatial resolution, accelerate acquisition, and improve image quality while reducing artifacts.  First, strategies for reducing the field-of-view (FOV) are described using examples of spatial saturation, multi-dimensional RF excitation, and selective RF refocusing.  Second, reference scans are presented for measuring errors in k-space and enabling various phase corrections in echo-train pulse sequences.  Third, gradient pre-emphasis is discussed as an effective method to reduce the adverse effects caused by eddy currents in a variety of pulse sequences. Although these three topics may appear isolated, together they reflect a central theme of how to improve image quality and/or speed while avoiding artifacts.
Xiaohong Joe Zhou

12:00
Lunch & Meet the Teachers


Weekend Course

Body MRI: Optimize Your Clinical Practice: Focal Liver Lesions

Organizers: Kathryn Fowler, M.D., Kartik Jhaveri, M.D., F.R.C.P.C., Lorenzo Mannelli, M.D., Ph.D. & Edwin J.R. van Beek, M.D., Ph.D., M.Ed., FRCR

Room 315 Sunday 10:15 - 11:15 Moderators: Sooah Kim & Lorenzo Mannelli

10:15
MRI of Focal Lesions in the Non-Cirrhotic Liver

The differential diagnosis of focal hepatic lesions in the non-cirrhotic liver is broad. MRI plays a crucial role in the non-invasive histologic characterization of these lesions and the decision making for patient management. In this talk we will present a simple, practical approach to focal hepatic lesions, review the MRI findings in the most common focal lesions in the non-cirrhotic liver, and discuss some of the pitfalls in image interpretation.
Ivan Pedrosa

10:45
MRI in the Cirrhotic liver

MRI in the cirrhotic liver has important roles in the standard care of cirrhotic patients. Recent advance in MRI also offers functional information which can serve as MR-based biomarker to predict patients’ outcome.
Utaroh Motosugi


Weekend Course

Body MRI: Optimize Your Clinical Practice: GI

Organizers: Kathryn Fowler, M.D., Kartik Jhaveri, M.D., F.R.C.P.C., Lorenzo Mannelli, M.D., Ph.D. & Edwin J.R. van Beek, M.D., Ph.D., M.Ed., FRCR

Room 315 Sunday 11:15 - 12:15 Moderators: Sooah Kim & Lorenzo Mannelli

11:15
MR Enterography

Magnetic resonance (MR) enterography is a robust alternative to modalities utilizing ionizing radiation in evaluating small bowel and surrounding structures in children and adults. Technical advances enabling rapid relatively motion-insensitive MR sequences and protocol modifications adapted to patients’ ages and morbidities will be detailed.  Image optimization improves diagnostic capabilities, further enhanced by systematic review. Image interpretation, from detection and characterization to quantification of disease burden in inflammatory bowel disease (IBD) - and increasingly other bowel disorders - will be discussed. The expanding role MR enterographic findings play as imaging biomarkers in the management of IBD will also be considered.  
Mary-Louise Greer

11:45
Rectal CA Staging

This lecture will cover the basic information needed to properly perform and interpret baseline MRI for rectal cancer staging. It includes recommended techniques and parameters by the ESGAR 2012/2016 guidelines. It illustrates how to interpret T- and N- staging as well as proper assessment of the CRM and of EMVI. It discusses geographic differences in treatment around the world and also introduces staging of low rectal cancer involving the anal sphincter apparatus.
Marc Gollub

12:15
Lunch & Meet the Teachers


Weekend Course

Image Acquisition & Reconstruction

Organizers: Edward V.R. DiBella, Ph.D. & Neville D. Gai, Ph.D.

Room 313BC Sunday 13:15 - 16:45 Moderators: Edward DiBella & Claudia Prieto

13:15
Sparsity & Compressed Sensing

Incomplete data sampling is an attractive approach to accelerate MRI but it requires prior knowledge-driven image reconstruction. Sparsity is a powerful concept that allows linking many different types of prior knowledge to the mathematical apparatus adopted in MR image reconstruction. Compressed sensing theory establishes conditions for optimal use of sparse representations for high quality MR image reconstruction from undersampled data. In this talk, we will cover the aforementioned concepts of advanced image reconstruction and demonstrate real examples of accelerated structural and dynamic MRI. We will also discuss both theoretical requirements of compressed sensing and essential aspects of its practical implementation.
Alexey Samsonov

13:45
MR Fingerprinting

Quantitative MR measurements are essential to assess complex changes in the brain and monitor treatment outcomes. Although full quantitative multi-parametric acquisition has long been the goal of research in MR, the conventional methods typically provide information on a single parameter at a time, thus requiring significant scan time. The purpose of Magnetic Resonance Fingerprinting (MRF) is to introduce a new framework to data acquisition and post-processing that permits the simultaneous quantification of multiple tissue properties in a time efficient manner.
Dan Ma

14:15
Dictionary & Model-Based Methods

This lecture explains the principles of model-based reconstruction methods and their linearization using dictionaries for MR parameter mapping.  
Mariya Doneva

14:45
Break & Meet the Teachers

15:15
Simultaneous Multi-Slice Methods

Steen Moeller

15:45
Motion Compensated Reconstruction

Sajan Goud Lingala

16:15
MRI & Manifolds

Novel image and patch manifold models that can exploit the non-linear and non-local redundancies in a dynamic dataset will be introduced. Specifically, the collection of images/patches in the dataset is assumed to be on a smooth manifold. I will introduce novel iterative algorithms to exploit the structure of the data. The use of these algorithms enables implicit motion compensation and motion resolution, and hence is a good alternative to current strategies that perform these operations explicity.
Mathews Jacob

16:45
Adjournment & Meet the Teachers


Weekend Course

Recent Advances in Diffusion, Perfusion & fMRI

Organizers: Daniel C. Alexander, Ph.D., Fernando Calamante, Ph.D., Benedikt A. Poser, Ph.D., Joshua S. Shimony, M.D., Ph.D. & Steven P. Sourbron, Ph.D.

Room 311 Sunday 13:15 - 16:45 Moderators: Joshua Shimony & Steven Sourbron

13:15
DCE/DSC with Multiple Echoes: Blurring the Boundaries

Contrast-enhanced MRI methods follow the dynamic passage of exogenous paramagnetic contrast agents to provide perfusion-related parameters, such as cerebral blood volume and cerebral blood flow, or permeability-related parameters, such as the volume transfer constant or extravascular extracellular volume. Perfusion- and permeability-related biomarkers can inform on different, but complementary, aspects related to vascular proliferation and angiogenic processes. Separate acquisitions and contrast injections are typically used to acquire both perfusion (DSC) and permeability (DCE) in patients. More advanced acquisitions involving multiple echoes permit simultaneous assessment of both perfusion and permeability information and may provide new insight into tumor-induced hemodynamic changes.
Ashley Stokes

13:45
ASL with Multiple Inversion & Echo Times

This presentation will describe extensions of the standard ASL method which enable quantification of extra haemodynamic parameters, additional to tissue perfusion. These parameters include arterial and tissue arrival times, water exchange times between the intra- and extra-vascular compartments, and estimation of partial volume effects. Changes to the acquisition scheme required to achieve these extra measurements, using multiple inflow times and echo times, will be described, and examples of uses of the techniques in vivo will be shown.
David Thomas

14:15
Break & Meet the Teachers

14:30
Multi-Echo, Multi-Band Acquisitions for BOLD

Keith Jamison

15:00
Multi Echo ICA (MICA)

This talk covers the applications of multi-echo (ME)-fMRI in combination with independent components analysis (ICA), called ME-ICA (Kundu et al., 2011). The ME-ICA approach to fMRI acquisition and analysis greatly increases the fidelity of BOLD fMRI while reducing the burden of artifacts across fMRI applications. Thus, the target audience of this talk includes all users of fMRI. Examples include users of resting state fMRI, task-based fMRI, pharmaco-fMRI, clinical fMRI of patients with lesions, and preclinical fMRI.  The evidence presented indicates that the ME-fMRI approach expands the range of experiments that is practicable using fMRI.
Prantik Kundu

15:30
Break & Meet the Teachers

15:45
Acquisition: Novel Gradient Waveforms

Most diffusion MRI is today performed with the so-called pulsed gradient spin echo (PGSE) method, which encodes for diffusion using two gradient pulses. This method is sensitive to cellularity of tumours, orientation of white matter tracts, and microstructure features such as axon density and cell sizes. However, the PGSE method is fundamentally limited in several ways. This talk will pinpoint these limitations and show how novel gradient waveforms can overcome them.
Markus Nilsson

16:15
Analysis: Tissue & Signal Models

The diffusion signal provides unique, but indirect information about tissue microstructure. In this course, we will examine two main avenues for diffusion analysis: signal representations and tissue models. The former render the signal behavior without any assumptions about the tissue structure and thus produce sensitive but unspecific metrics (e.g. fractional anisotropy from DTI). For models, a theoretical expression of the diffusion signal in a given geometry (assumed to describe the tissue well) is fit to the data and characteristic parameters of the geometry are extracted. This approach should yield more specific metrics but is also more challenging to implement correctly.
Ileana Jelescu

16:45
Adjournment & Meet the Teachers


Weekend Course

Body MRI: Optimize Your Clinical Practice: Pelvis & GU

Organizers: Kathryn Fowler, M.D., Kartik Jhaveri, M.D., F.R.C.P.C., Lorenzo Mannelli, M.D., Ph.D. & Edwin J.R. van Beek, M.D., Ph.D., M.Ed., FRCR

Room 315 Sunday 13:15 - 16:15 Moderators: Jurgen Fütterer & Valeria Panebianco

13:15
Female Pelvis - Uterus

MRI plays an important role in accurate classification, treatment selection and planning of suspected uterine anomalies as well as evaluation of other benign uterine conditions such as leiomyomas and adenomyosis. It plays a crucial role in surgical planning of patients with endometrial cancer by accurately predicting depth of myometrial invasion, cervical stroma invasion and lymph node involvement. In young patients with low grade endometrial cancer who wish to preserve fertility, MRI is used to exclude myometrial invasion prior to hormonal therapy. MRI is valuable in distinguishing cervical from endometrial origin of uterine cancer in cases of biopsy proven adenocarcinoma.
Evis Sala

13:45
Adnexal Masses

The superior soft tissue contrast of MRI aids characterisation of adnexal masses.  T2-W contrast is the mainstay of diagnosis. Enhancement of T1-W images with gadolinium chelate is helpful in refining diagnosis. Examinations are optimized by scanning after the patient has emptied her bladder and intramuscular antiperistaltic agents have been administered. Classification into benign and malignant pathology is crucial for deciding on type of surgical management.  In addition, recognition of disseminated malignant disease determines whether or not neoadjuvant chemotherapy is warranted prior to surgical debulking.
Nandita deSouza

14:15
Fetal MRI

Fetal Body MRI requires different contrasts to adequately visualize the organs at different stages of maturation. A profound knowledge of often complex pathologies that may involve more than one organ, and that may be diagnosed prenatally, is necessary for a tailored management of these pregnancies. Among all extra-CNS indications assessment of the fetal lungs has become the most important one, allowing an accurate prediction of the respiratory state of the newborn.
Daniela Prayer

14:45
Break & Meet the Teachers

15:15
Renal

This clinically oriented talk will review the Renal Mass MRI technique/scanning protocols at NYU, review the basics in renal mass lesion subtyping and pitfalls in the characterization of renal lesions and the clinical impact therein.
Nicole Hindman

15:45
Prostate

This session discusses opportunities to take full advantage of current multiparametric prostate MRI to guide individual management in multiple clinical scenarios that affect prostate cancer patients.
Hebert Alberto Vargas

16:15
Adjournment & Meet the Teachers


Weekend Course

MRI, MRS & Molecular Imaging to Diagnose Disease & Assess Treatment

Organizers: Carolyn E. Mountford, D.Phil. & Bruce R. Rosen, M.D., Ph.D.

Room 314 Sunday 13:15 - 16:15 Moderators: In-Young Choi & Brenda Bartnik Olson

13:15
Deregulation, Disease & Damage Recorded by MRS

This presentation will enable you to describe the current state of magnetic resonance spectroscopy in the detection of pathology; understand the drawbacks and problems associated with the use of MRS; and understand how MRS could be further improved to allow better diagnostic and research utility.
Caroline Rae

13:45
Imaging Applications of Ferumoxytol for MRI: Focusing on the Vasculature & Inflammation

Ferumoxytol is an ultrasmall, paramagnetic iron oxide and also a novel magnetic resonance imaging (MRI) contrast agent. With its unique features (long plasma half-life and delayed intracellular uptake) ferumoxytol may pay a crucial role in the MR imaging in the future. We have completed over 700 MRI studies with ferumoxytol in our institution, primarily for CNS imaging. In this presentation we go through the general properties and the specific opportunities of ferumoxytol-enhanced MRI in and outside the brain. 
Edward Neuwelt

14:15
Molecular Imaging of In Vivo Gene Expression & Intracellular Messengers

We cover the use MRI molecular imaging
Zahi Adel Fayad

14:45
Break & Meet the Teachers

15:15
MR-Guided Radiotherapy

Online MRI guidance is the new disruptive technology for radiotherapy that will facilitate online and real-time adaptive treatments. An overview of the current hybrid MRI-guided treatment machines will be given. The MRI-Linac, which combines a 1.5T closed bore system with a modern 7MV linear accelerator will be described. Its clinical introduction is highlighted and the potential for future treatments and research is outlined.  
Rob Tijssen

15:45
Imaging of Non-Proton Nuclei: Methodology & Applications in Clinical Research

In this presentation I will give an brief overview of X-nuclei MRI/MRS, of its challenges and potential clinical applications. I will mainly focus on 23Na MRI and 31P MRS/MRI as examples of potentially useful non-proton imaging methods that could give interesting new metabolic information in vivo in a non-invasive and quantitative manner.
Guillaume Madelin

16:15
Adjournment & Meet the Teachers


Weekend Course

Translational Musculoskeletal Imaging: From Qualitative to Quantitative

Organizers: Jenny T. Bencardino, M.D., Eric Y. Chang, M.D., Christine Chung, M.D. & Philip Robinson, M.D.

Room 316A Sunday 13:15 - 16:05 Moderators: Neal Bangerter & Catherine Roberts

13:15
Quantitative MR Imaging: Technical Aspects

Quantitative MRI in musculoskeletal tissues is challenging. Our technical ability to accurately measure and reliably interpret MRI parameters in musculoskeletal tissues can be influenced by the complexity of our specimens (human patient, animals, ex vivo specimen), instrumentation, experimental details, and data-analysis. This talk examines a number of these issues and their impact on the robustness of quantitative MRI, using the examples mainly from articular cartilage and its degradation process that leads to osteoarthritis. A brief comparison between articular cartilage and other musculoskeletal tissues (tendon, nasal cartilage, meniscus, and bone) will also be given.
Yang Xia

13:50
Quantitative MR Imaging: Clinical Applications

Quantitative techniques such T2/T2* imaging, sodium MRI and gagCEST help to analyze the composition of the connective tissues

Results from quantitative techniques provide additional information and predictive markers for MSK structures and have the potential for the development of imaging biomarkers.

Siegfried Trattnig

14:25
Break & Meet the Teachers

14:55
MR Spectroscopy: Technical Aspects

Chemical shift encoding techniques can quantify chemical species content and investigate metabolic changes in physiological and diseased conditions of multiple musculoskeletal tissues, including skeletal muscle, bone marrow, intervertebral disc, cartilage and bone. The present lecture aims to provide an overview of the most important technical aspects when applying chemical shift encoding techniques, including single-voxel magnetic resonance spectroscopy, chemical shift imaging and chemical shift encoding-based water-fat separation techniques, for targeting lipids, creatine, macromolecules, choline and phosphorous metabolites in musculoskeletal tissues.
Dimitrios Karampinos

15:30
MR Spectroscopy: Clinical Applications

MR spectroscopy is able to quantify intramyocellular lipids, intrahepatic lipids, and marrow adipose tissue in several clinical conditions.
Miriam Bredella

16:05
Adjournment & Meet the Teachers


Weekend Course

Neurovascular MRI: from Micro to Macro

Organizers: Christopher P. Hess, M.D.,Ph.D. & Daniel M. Mandell, M.D., Ph.D.

Room 312 Sunday 13:15 - 16:40 Moderators: Kevin DeMarco & Christopher Hess

13:15
Intracranial Vessel Wall Imaging

Mahmud Mossa-Basha

13:40
Blood Flow Imaging

MR imaging is the only effective modality for imaging hemodynamic conditions in the intracranial vasculature.  The use of these methods for evaluating healthy and diseased vessels will be discussed.
David Saloner

14:05
Cerebrovascular Reserve Imaging

To understand the hemodynamic changes due to a decrease in cerebral perfusion pressure (CPP), and evaluation of cerebrovascular reserve (CVR) capacity in patients with cerebrovascular disease (CVD) is important to determine the risk of future ischemic events and in the selection and planning of the therapeutic interventions. 3 approaches (positron emission tomography, single photon emission computed tomography and MRI) can be used in the evaluation of CVR. We will present the basic concept to measure CVR in patients with CVD combined by nuclear medicine imaging and introduce the possibility of MRI application in measuring CVR.
Naomi Morita

14:30
Penumbra Imaging

In acute stroke imaging, the “penumbra” usually refers to brain tissue that is considered to be at risk for infarction. Identification of the penumbra is consistently a focus of active imaging research, particularly in the development of strategies for selecting patients for intravenous thrombolysis and mechanical thrombectomy. Penumbral imaging approaches usually employ perfusion imaging, which provides a variety of complementary measurements of cerebral hemodynamics at the microvascular level. This talk will explore the relationship of penumbral imaging to fundamental principles of cerebrovascular physiology, addressing both currently implemented penumbral imaging techniques, and potential novel applications of perfusion imaging in stroke care. 
William Copen

14:55
Break & Meet the Teachers

15:25
Venous Imaging

With increasing use of high field scanners and high resolution imaging protocols such as susceptibility-weighted imaging that can be used to visualize fine venous structures, understanding of the structure of fine venous anatomy has become important. Deep medullary veins drain into subependymal veins with four convergence zones and show parallel distribution patterns adjacent to the body or inferior horn and a radial pattern in the frontal horn or trigon of the lateral ventricle. Some disorders are related to deep medullary veins.
Toshiaki Taoka

15:50
Neurovascular Case Review

Michele Johnson

16:15
Identifying & Characterizing Arteriovenous Shunting Lesions with Arterial Spin Labeling

Greg Zaharchuk

16:40
Adjournment & Meet the Teachers


Weekend Course

Biostatistics for Imaging Studies

Organizers: Dwight G. Nishimura, Ph.D.

Room 316BC Sunday 13:15 - 16:45 Moderators: Priti Balchandani & Dwight Nishimura

13:15
Designing Studies of Diagnostic Imaging

The short-course is broken down into three sections:

First Hour: Foundations of Imaging Studies    

Second Hour: Statistical Methods in Imaging Studies

Third Hour: Advanced Methods 

Nancy Obuchowski

13:45
Basic Concepts in Calculations of Sample Size & Statistical Power

The Overview of Biostatistical Data Analysis Methods is comprised of the following 3 parts:  

  • Part 1: Basic concepts in calculations of sample size and statistical power
  • Part 2: ROC Analysis in diagnostic medicine
  • Part 3: Statistical prognostic/predictive modelling of quantitative imaging biomarkers (QIBs)
Todd Alonzo

14:15
Break & Meet the Teachers

14:30
Part 1 of Assessing Quantitative Imaging Biomarkers (QIBs)

14:55
Part 1 of ROC Analysis in Diagnostic Medicine

15:20
Break & Meet the Teachers

15:35
Part 2 of ROC Analysis: Multi-Reader ROC & Other Advanced ROC Methods

15:55
Part 2 of Assesssing QIBs: Statistical Prognostic/Predictive Modeling of QIBs

16:15
Adjournment & Meet the Teachers


Weekend Course

RF Engineering: Coils

Organizers: Gregor Adriany, Ph.D. , Mary P. McDougall, Ph.D. & Graham C. Wiggins, D.Phil.

Room 313A Sunday 14:00 - 16:15 Moderators: Ryan Brown & Hiroyuki Fujita

14:00
Dielectric Materials & Resonators

This talk will review and explain the dielectric effects in MRI using simple examples. Its applications in enhancing RF field using ultrahigh dielectric constant materials at 1.5T, 3T and 7T will be presented. 

Qing Yang

14:30
UHF Coil & Array Design

Karthik Lakshmanan

15:00
Break & Meet the Teachers

15:30
Construction of Rx Arrays

We aim to present a step-by-step method to construct a transmit array. The measurements will be demonstrated using an 8-channel transmit array. We will then extend this method to the development of a dual-row transmit array. Construction and charecterisation of a receive coil element and combining a transmit and recieve array is also included.
Shajan Gunamony

16:15
Adjournment & Meet the Teachers


Plenary Session

Lauterbur Lecture

Plenary Hall Sunday 17:00 - 18:15

17:00
Opening Remarks - Society Awards

17:30
Lauterbur Lecture: MRI as a Window into Cardiac Function

Paul Lauterbur not only invented the basic concept of MRI, he also pioneered many of its extensions and applications, including to cardiovascular imaging. My research career has focused in part on exploring some of the ways in which the unique capabilities of MRI to reveal motion can be used to study cardiac function. While this area has still had limited clinical impact, due to persistent technical limitations, there is ongoing progress in overcoming them, with promising prospects for the future of MRI for characterizing cardiac function.
Leon Axel


Other

Opening Reception

Exhibition Hall Sunday 18:30 - 20:00 (no CME credit)



Monday, 24 April 2017

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Sunrise Session

Cardiovascular MR: "More is Better": LV Structure & Mechanics

Organizers: Daniel K. Sodickson, M.D., Ph.D., Bernd J. Wintersperger, M.D. & Sonia Nielles-Vallespin, Ph.D.

Room 310 Monday 7:00 - 7:50 Moderators: Daniel Ennis & David Sosnovik

7:00
Cardiac Diffusion
Martijn Froeling

7:25
Cardiac Mechanics
Daniel Auger

7:50
Adjournment & Meet the Teachers


Sunrise Session

Bleeding Edge of Brain Techniques: Fingerprinting & Hyperpolarized C13

Organizers: Fernando E. Boada, Ph.D. & Christopher P. Hess, M.D., Ph.D.

Room 311 Monday 7:00 - 7:50 Moderators: Fernando Boada & Christopher Hess

7:00
Hyperpolarized 13C: New Kind on the Block
Myriam Chaumeil

7:25
Brain MR Fingerprinting: Brain MR for the Masses?
Timothy Shepherd

7:50
Adjournment & Meet the Teachers


Sunrise Session

Contrast Mechanisms in MSK Imaging

Organizers: Jenny T. Bencardino, M.D., Eric Y. Chang, M.D., Christine Chung, M.D. & Philip Robinson, M.D.

Room 312 Monday 7:00 - 7:50 Moderators: Graeme Bydder & Ives Levesque

7:00
Magnetization Transfer: Applications in MSK imaging
Ives Levesque

7:25
Fat Water Separation: Applications in MSK imaging
Johan Berglund

7:50
Adjournment & Meet the Teachers


Sunrise Session

Magnetic Resonance Elastography: Overview & Technology

Organizers: Guoying Liu, Ph.D. & Joshua D. Trzasko, Ph.D.

Room 313A Monday 7:00 - 7:50 Moderators: Curtis Johnson & Joshua Trzasko

7:00
Overview & History
Richard Ehman

7:25
MRE Technology
Ingolf Sack

7:50
Adjournment & Meet the Teachers


Sunrise Session

Individualized Brain MRI: Building a Neurosurgical Planning Toolbox

Organizers: Christopher P. Hess, M.D., Ph.D.

Room 313BC Monday 7:00 - 7:50 Moderators: Jeffrey Berman & Manabu Kinoshita

7:00
Fiber Tractography for Practical Neurosurgical Application
Shawna Farquharson

7:25
Functional MRI for Practical Neurosurgical Application
Vivek Prabhakaran

7:50
Adjournment & Meet the Teachers


Sunrise Session

MR-Guided Focused Ultrasound in the Brain

Organizers: Edward V.R. DiBella, Ph.D. & Dennis L. Parker, Ph.D.

Room 314 Monday 7:00 - 7:50 Moderators: Kim Butts Pauly & Dennis Parker

7:00
MR-Guided Focused Ultrasound in the Brain - Description, Overview & Method
John Snell

7:25
MR-Guided Focused Ultrasound in the Brain - Clinical Potential & Relevance
Pejman Ghanouni

7:50
Adjournment & Meet the Teachers


Sunrise Session

It Doesn’t Have to Be That Way: Extreme Fields & Gradients

Organizers: Michael S. Hansen, Ph.D. & Joshua D. Trzasko, Ph.D.

Room 315 Monday 7:00 - 7:50 Moderators: Michael Hansen & Shengzhen Tao

7:00
Extreme Fields
Thomas Witzel

7:25
Gradients
Gigi Galiana

7:50
Adjournment & Meet the Teachers


Sunrise Session

fMRI: Best Practices & Cautionary Tales: Acquisition & Pathology

Organizers: Hanzhang Lu, Ph.D. & Karla Miller, Ph.D.

Room 316A Monday 7:00 - 7:50 Moderators: Hanzhang Lu & Victoria Morgan

7:00
Acquisition Issues
Benedikt Poser

7:25
Pathological Issue (e.g. Metal Implants, Neurovascular Decoupling)
Jay Pillai

7:50
Adjournment & Meet the Teachers


Sunrise Session

PI-RADS: Yes or No

Organizers: Kathryn Fowler, M.D., Kartik Jhaveri, M.D., F.R.C.P.C., Lorenzo Mannelli, M.D., Ph.D. & Edwin J.R. van Beek, M.D., Ph.D., M.Ed., FRCR

Room 320 Monday 7:00 - 7:50 Moderators: Kathryn Fowler & Hebert Vargas

7:00
PI-RADS: YES!
Sadhna Verma

7:25
PI-RADS: NO!
Pieter De Visschere

7:50
Adjournment & Meet the Teachers


Traditional Poster: Acquisition, Reconstruction & Analysis

Exhibition Hall 1272-1296 Monday 8:15 - 10:15 (no CME credit)

Electronic Poster: Cardiovascular

Exhibition Hall Monday 8:15 - 9:15 (no CME credit)

Electronic Poster: Body: Breast, Chest, Abdomen, Pelvis

Exhibition Hall Monday 8:15 - 9:15 (no CME credit)

Study Groups

Hyperpolarization Methods & Equipment Study Group

Room 323ABC Monday 8:15 - 10:15 (no CME credit)


Study Groups

Psychiatric MR Spectroscopy & Imaging Study Group

Room 317AB Monday 8:15 - 10:15 (no CME credit)


Educational Course

ISMRM-SMRT Joint Forum: Assessing Implant Safety: in the Clinic Now & as the Field Strength Rises

Organizers: Amanda Golsch, MBA, R.T. (R)(MR) & Karla L. Miller, Ph.D.

Room 311 Monday 8:15 - 10:15 Moderators: Amanda Golsch & Maureen Hood

8:15
Introduction to MRI Safety
Vera Kimbrell


8:45
Evaluation of MRI Issues for Implants & Devices
Frank G Shellock, Ph.D., FACR, FACC, FISMRM1

1Radiology and Medicine, University of Southern California, Playa Del Rey, CA, United States


9:15
Implant Safety at Ultra-High Field
Stuart Clare1 and Jon Campbell1

1FMRIB Centre, University of Oxford, Oxford, United Kingdom

As the field strength rises to 7 Tesla and above, this talk will assess the risks of scanning patients with implants and surgeries at ultra-high-field and review what more needs to be done.

9:45
Building an MRI Safety Program
Bernd Ittermann1

1Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany

Certain organizational roles are frequently encountered in the MRI safety context: the MR Director (MRD), the MR Safety Officer (MRSO) and the MR Safety Expert (MRSE). It is attempted to describe their respective responsibilities and how these relate to each other. In addition, a set of minimum requirements shall be identified, an MR operator in a research setting should fulfill before scanning human subjects.


10:15
Adjournment & Meet the Teachers


Power Pitch

Pitch: Interventional/Safety/Engineering

Power Pitch Theater A - Exhibition Hall Monday 8:15 - 9:15 Moderators: Caroline Jordan (no CME credit)

1
8:15
Overcoming Limitations of Virtual Observation Points in pTx using IMPULSE
Mihir Pendse1 and Brian K Rutt1

1Stanford University, Stanford, CA, United States

2
8:15
Optical-based probe for real time assessment of RF electrical field during MRI exam
Isabelle Saniour1, Gwenaël Gaborit2,3, Lionel Duvillaret3, Anne-Laure Perrier2, and Olivier Beuf1

1Univ. Lyon, CREATIS ; CNRS UMR 5220 ; INSERM U1206 ; INSA-Lyon ; UJM-Saint-Etienne ; Université Lyon1, Villeurbanne, France, 2Univ. Savoie-Mont-Blanc, IMEP-LAHC, Le Bourget-du-Lac, France, 3Kapteos, Sainte-Hélène-du-Lac, France

3
8:15
Modeling of Peripheral Nervous Stimulation Thresholds in Realistic Body Models
Mathias Davids1,2, Bastien Guérin2,3, Lothar R Schad1, and Lawrence L Wald2,3,4

1Computer Assisted Clinical Medicine, Heidelberg University, Mannheim, Germany, 2Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Harvard Medical School, Boston, MA, United States, 4Harvard-MIT Division of Health Sciences Technology, Cambridge, United States

4
8:15
Cardiac Synchronization at Ultra-High Field Using a 3-Lead ECG Trigger Device
Daniel Stäb1, Juergen Roessler2, Kieran O'Brien3, Je Yen Su1, Christian Hamilton-Craig4, and Markus Barth1

1The Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia, 2Siemens Healthcare GmbH, Erlangen, Germany, 3Siemens Healthcare Pty Ltd, Brisbane, Australia, 4Richard Slaughter Centre of Excellence in CVMRI, The Prince Charles Hospital, Brisbane, Australia

5
8:15
A Combined 7 Tesla MRI/NMR Probe Head for Photochemical Applications.
Jens Groebner1, Gernot Heitmann1, Marcel Dommaschk1, Lukas M. Huber2, Eduard Stadler3, Reiner Umathum4, Frank D. Sönnichsen1, and Rainer Herges1

1Otto Diels Institute for Organic Chemistry, Kiel University, Kiel, Germany, 2Molecular Imaging North Competence Center, University Medical Center Schleswig-Holstein, Kiel, Germany, 3Institute of Physical and Theoretical Chemistry, Graz University of Technology, Graz, Austria, 4Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany

6
8:15
Evaluation of cardiac magnetic resonance thermometry in patients
Valery Ozenne1, Solenn Toupin1,2, Pierre Bour1, Baudouin Denis de Senneville3, Alexis Vaussy2, Matthieu Lepetit-Coiffé2, Pierre Jaïs4, Hubert Cochet4, and Bruno Quesson1

1Electrophysiology and Heart Modeling Institute, Bordeaux, France, 2Siemens Healthcare, Paris, France, 3Mathematical Institute of Bordeaux, Bordeaux, France, 4Department of Cardiac Electrophysiology, Hôpital Cardiologique de Haut-Lévêque, Bordeaux, France

7
8:15
MRI-monitored Anterior Cervical Discectomy and Fusion (ACDF) surgery: Observation of intra-procedural nerve decompression during surgery
Ehud J Schmidt1, Daniel F Kacher1, Wei Wang1, Mitchel B Harris2, Thomas C Lee1, Ravi Seethamraju3, Clare M Tempany1, and Jay Zampini2

1Radiology, Brigham and Womens Hospital, Boston, MA, United States, 2Orthopedic Surgery, Brigham and Womens Hospital, Boston, MA, United States, 3MRI, Siemens Healthcare, Boston, MA, United States

8
8:15
Water diffusivity changes in the brain following exposure to low levels of focused ultrasound energy
Sijia Guo1, Jiachen Zhuo1, Xin Lu1, Su Xu1, and Rao Gullapalli1

1Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States

9
8:15
Low Rank plus Sparse Compressed Sensing Reconstruction for PRF Temperature Imaging
Zhipeng Cao1,2, Sumeeth V. Jonathan2,3, and William A. Grissom1,2

1Biomedical Engineernig, Vanderbilt University, Nashville, TN, United States, 2Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 3Radiology, Vanderbilt University, Nashville, TN, United States

10
8:15
2D Multi-Spectral Thermometry for Monitoring Focused-Ultrasound Sonications Near Metallic Hardware
Hans Weber1, Pejman Ghanouni1, Aurea Pascal-Tenorio2, Kim Butts Pauly1, and Brian A. Hargreaves1

1Radiology, Stanford University, Stanford, CA, United States, 2Comparative Medicine, Stanford University, Stanford, CA, United States

11
8:15
Toward individualized specific absorption rates: Building a surface-based human head model
Mikhail Kozlov1, Benjamin Kalloch1,2, Pierre-Louis Bazin1, Mario Hlawitschka2, Nikolaus Weiskopf1, and Harald E Möller1

1Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Leipzig University of Applied Science, Leipzig, Germany

12
8:15
Patient specific modeling of deep brain stimulation patients for MRI safety studies
Bastien Guerin1,2, Peter Serano3,4, Maria I Iacono3, Todd Herrington2,5, Alik Widge2,6, Darin Dougherty2,6, Giorgio Bonmassar1,2, Leonardo M Angelone3, and Lawrence Wald1,2

1Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Division of Biomedical Physics, OSEL, CDRH, US Food and Drug Administration, Silver Spring, MD, United States, 4Mechanical Engineering, University of Maryland, College Park, MD, United States, 5Neurology, Massachusetts General Hospital, MA, United States, 6Psychiatry, Massachusetts General Hospital, MA, United States

13
8:15
Interventional Magnetic Resonance Imaging Guided Carotid Embolectomy using a Novel MRI-Conditional Resonant Catheter: Demonstration of Preclinical Feasibility
Jeffrey K. Yang1, Andre Cote1, Caroline D. Jordan1, Aaron Losey1, David McCoy1, Andrew Chu2, Jay F. Yu1, Teri Moore1, Carol Stillson1, Fabio Settecase1, Matthew D. Alexander1, Andrew Nicholson1, Mariam Aboian1, Daniel L. Cooke1, Maythem Saeed1, Dave Barry2, Alastair J. Martin1, Mark W. Wilson1, and Steven W. Hetts1

1Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 2Penumbra Inc, Alameda, CA, United States

14
8:15
Acousto-optic Based Active MRI Marker for Interventional MRI Devices
Yusuf Samet Yaras1, Sarp Satir1, Cagla Ozsoy2, Rajiv Ramasawmy3, Adrienne E Campbell-Washburn3, Anthony Faranesh3, Robert Lederman3, Ozgur Kocaturk2, and Levent Degertekin1

1G.W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States, 2Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey, 3Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, United States

15
8:15
MRI based RF safety characterization of implants using the implant response matrix: a simulation study.
Janot P. Tokaya1, Alexander J.E. Raaijmakers2,3, Peter R. Luijten2, and Cornelis A.T. van den Berg1

1Radiotherapy, UMC Utrecht, Utrecht, Netherlands, 2Radiology, UMC Utrecht, Utrecht, Netherlands, 3Biomedical Image Analysis, Eindhoven University of Technology, Netherlands


Power Pitch

Pitch: 7T Neuroimaging

Power Pitch Theater B - Exhibition Hall Monday 8:15 - 9:15 Moderators: Penny Gowland & Christopher Hess (no CME credit)

16
8:15
The effects of B1+ correction of MP2RAGE on estimating cortical thickness and T1 at 7T
Roy Haast1, Dimo Ivanov1, Elia Formisano1, and Kâmil Uludağ1

1Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands

17
8:15
The relationship between cortical myeloarchitecture and functional connectivity in the human brain
Olivier E. Mougin1, Benjamin A.E. Hunt1, Prejaas K. Tewarie1, Nicolas Geades1, Peter G. Morris1, Matthew J. Brookes1, and Penny A. Gowland1

1Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom

18
8:15
Towards in vivo spinal cord cyto- and myelo-architecture deciphering using multi-modal MRI parcellation at 7T
Manuel Taso1,2,3, Aurélien Massire1,2,3, Pierre Besson1,2, Arnaud Le Troter1,2, Maxime Guye1,2, Jean-Philippe Ranjeva1,2,3, and Virginie Callot1,2,3

1CRMBM, Aix-Marseille Univ, CNRS, Marseille, France, 2Pôle d'imagerie médicale, Hôpital de la Timone, CEMEREM, AP-HM, Marseille, France, 3iLab-Spine international associate laboratory, Marseille/Montréal, France

19
8:15
7T Quantitative Magnetization Transfer (qMT) of Cortical Gray Matter in Multiple Sclerosis Correlates with Cognitive Disability
Lydia McKeithan1,2, Bailey D. Lyttle2,3, Bailey A. Box2,3, Kristin P. O'Grady2,3, Richard D. Dortch1,2,3, Benjamin N. Conrad2, and Seth A. Smith1,2,3,4

1Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, 3Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, 4Department of Opthamology, Vanderbilt University Medical Center, Nashville, TN

20
8:15
Changes in structural network connectivity in early-stage multiple sclerosis are associated with cortical demyelination
Atef Badji1,2, Gabriel Mangeat1,3, Russell Ouellette3,4, Constantina Andrada Treaba3,4, Tobias Granberg3,4,5, Elena Herranz3,4, Celine Louapre3,4, Nikola Stikov1,6, Jacob Sloane4,7, Pierre Bellec 2, Caterina Mainero3,4, and Julien Cohen-Adad1,2

1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 2Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada, 3Athinoula A. Martinos Center for Biomedical Imaging, MGH, 4Harvard Medical School, 5Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 6Montreal Health Institute, 7Beth Israel Deaconess Medical Center

21
8:15
3D magnetic resonance spectroscopic imaging at 7 Tesla of patients with medically refractory focal epilepsy with non-lesional or inconclusive clinical MRIs: First Results
Rebecca Emily Feldman1, Madeline Cara Fields2, Bradley Neil Delman3, Lara Vanessa Marcuse4, and Priti Balchandani1

1Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Department of Neurology, Mount Sinai Hospital, New York, NY, United States, 3Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Department of Neurology, Mount Sinai Hospital

22
8:15
The value of 7T in the clinical evaluation of epileptic patients with focal cortical dysplasia
Kaibao Sun1,2, Xueyuan Wang3, Zhongwei Chen1,2, Chang Liu3, Jianfei Cui4, Zhentao Zuo1, Rong Xue1,2, Yan Zhuo1, Lin Chen1,2, Shuli Liang4, Tao Yu3, and Bo Wang1

1State Key Laboratory of Brain and Cognitive Science, Beijing MRI Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, People's Republic of China, 2University of Chinese Academy of Sciences, Beijing, People's Republic of China, 3Xunanwu Hospital Capital Medical University, Beijing, People's Republic of China, 4Chinese PLA general hospital, Beijing, People's Republic of China

23
8:15
Individualized Tractography-Based Parcellation of the Globus Pallidus Pars Interna using 7T MRI in patients with Parkinson’s Disease Prior to DBS Surgery
Rémi Patriat1, Yuval Duchin1, Christophe Lenglet1, Joshua Aman2, Scott Cooper2, Jerrold Vitek2, and Noam Harel1

1CMRR / Radiology, University of Minnesota, Minneapolis, MN, United States, 2Neurology, University of Minnesota, Minneapolis, MN, United States

24
8:15
Assessment of cerebral vascular abnormalities in Huntington’s Disease at 7Tesla
Richard J Dury1, Sarah L Mason2, Francesca Cicchetti3, Janelle Drouin-Ouellet2, Roger A Barker2, Penny A Gowland1, and Susan T Francis1

1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2John van Geest Centre for Brain Repair, University of Cambridge, Cambridge, United Kingdom, 3Département de Psychiatrie & Neurosciences, Université Laval, QC, Canada

25
8:15
7T TOF-MRA Shows Different Patterns of Perforating Artery in Patients with Intracranial Atherosclerosis Disease (ICAD) and Cerebral Autosomal-Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL)
Qingle Kong1,2, Qi Yang3,4, Zhaoyang Fan3, Xianchang Zhang1,2, Yun Yuan5, Xiaojing Fang5, Jing An6, Yan Zhuo1, and Zihao Zhang1

1State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, People's Republic of China, 2University of Chinese Academy of Sciences, Beijing, People's Republic of China, 3Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 4Xuanwu Hospital, Beijing, People's Republic of China, 5Department of Neurology, Peking University First Hospital, Beijing, People's Republic of China, 6Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, People's Republic of China

26
8:15
Intracranial vessel wall imaging in suspected cerebral vasculitis: evaluation of diagnostic value and treatment effects using 3T and 7T MRI
Nikki Dieleman1, Anja G. van der Kolk1, Catharina J.M. Frijns2, Anita A. Harteveld1, Jaco J.M. Zwanenburg1, Hugo J. Kuijf3, Arjen Lindenholz1, L. Jaap Kappelle2, Peter R. Luijten1, and Jeroen Hendrikse1

1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Neurology, University Medical Center Utrecht, Utrecht, Netherlands, 3Images Science Institute, University Medical Center Utrecht, Utrecht, Netherlands

27
8:15
Detection of intracranial vessel wall lesions using 7T MRI: patients with posterior circulation ischemia versus healthy controls
Anita A. Harteveld1, Anja G. van der Kolk1, H. Bart van der Worp2, Nikki Dieleman1, Peter R. Luijten1, Jaco J.M. Zwanenburg1, and Jeroen Hendrikse1

1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, Netherlands

28
8:15
Metabolic differences between asymptomatic C9orf72 carriers and non-carriers assessed by brain 7T MRSI.
Henk-Jan Westeneng1, Carrie Wismans1, Abram D. Nitert1, Renée Walhout1, Peter R. Luijten2, Jannie P. Wijnen2, and Leonard H. van den Berg1

1Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, Netherlands, 2Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands

29
8:15
GABA and glutamate in children with Tourette Syndrome: a 7T 1H-MRS study
Nicolaas AJ Puts1,2, Richard AE Edden1,2, Matthew Ryan3, E Mark Mahone3,4, and Harvey S Singer5

1Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University, Baltimore, MD, United States, 2FM Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3Department of Neuropsychology, Kennedy Krieger Institute, Baltimore, MD, United States, 4Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University, Baltimore, MD, United States, 5Department of Neurology, The Johns Hopkins University, Baltimore, MD, United States

30
8:15
Multi-Parametric MRI at 7 T Enables Differentiation of MS and Age-Related White Matter Lesions
Zahra Hosseini1,2, David A. Rudko3, Jacob A. Matusinec4, Marcelo kremenchutzky 5, Ravi Menon2,6, and Maria Drangova1,6,7

1Biomedical Engineering Graduate Program, University of Western Ontario, London, ON, Canada, 2Imaging Research Laboratories, Robarts Research Institute, London, ON, Canada, 3Montreal Neurological Hospital and Institute, McGill University, Montreal, QC, Canada, 4Medicine, Schulich School of Medicine & Dentistry, University of Western Ontario, London, ON, Canada, 5Department of Clinical Neurological Sciences, Schulich School of Medicine & Dentistry, University of Western Ontario, London, ON, Canada, 6Department of Medical Biophysics, University of Western Ontario, London, ON, Canada, 7Imaging Research Laboratories, Robarts Research Institute


Oral

Young Investigator Awards

Room 310 Monday 8:15 - 10:15 Moderators: Elizabeth Hecht & Houchun Hu

31
8:15
Free-breathing volumetric fat/water separation by combining radial sampling, compressed sensing, and parallel imaging
Thomas Benkert1,2, Li Feng1,2, Daniel K. Sodickson1,2, Hersh Chandarana1,2, and Kai Tobias Block1,2

1Radiology, NYU School of Medicine, New York, NY, United States, 2Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, NY, United States

Fat-suppressed T1-weighted gradient-echo imaging is commonly used for abdominal MR examination. However, image quality can be compromised by inhomogeneous fat suppression and imperfect breath-holding. To overcome both limitations, we describe a novel technique for free-breathing fat/water separation (Dixon-RAVE).

Motion-robust acquisition is achieved by using radial sampling. A model-based reconstruction, which incorporates compressed sensing, parallel imaging, and fat deblurring, is used to obtain fat and water maps. Two extensions are described that enable motion-resolved fat/water separation (XD-Dixon-RAVE) and dynamic contrast-enhanced fat/water separation (DCE-Dixon-RAVE). The technique is demonstrated for various clinical applications, including free-breathing liver and breast exams in volunteers and patients.


32
8:35
Direct Quantitative 13C-Filtered 1H Magnetic Resonance Imaging of PEGylated Biomacromolecules In Vivo
Rohan D. A. Alvares1, Justin Y. Lau2,3, Peter M. Macdonald1, Charles H. Cunningham2,3, and R. Scott Prosser1,4

1Department of Chemistry, University of Toronto, Toronto, ON, Canada, 2Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Sunnybrook Research Institute, Toronto, ON, Canada, 4Department of Biochemistry, University of Toronto, Toronto, ON, Canada

We demonstrate a new platform technology in which macromolecular constituents, such as proteins and drug delivery systems, are observed directly and quantitatively in vivo using 1H MRI of 13C-labeled polyethylene glycol (13C-PEG) tags. The 28 kDa 13C-PEG tags are non-immunogenic, and each bears approximately 2500 spectroscopically equivalent 1H nuclei appearing at a single resonance position.  By filtering the 1H PEG signal through the directly coupled 13C nuclei, background water and fat signals are largely eliminated. We demonstrate the approach by monitoring in real-time the distribution of 13C-PEG and 13C-pegylated albumin injected into the hind leg of a mouse.

33
8:55
Hybrid MRI-ultrasound acquisitions, and scannerless real-time imaging
Frank Preiswerk1, Matthew Toews2, Cheng-Chieh Cheng1, Jr-yuan George Chiou1, Chang-Sheng Mei3, Lena F. Schaefer1, W. Scott Hoge1, Benjamin M. Schwartz4, Lawrence P. Panych1, and Bruno Madore1

1Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States, 2The Laboratory for Imagery, Vision and Artificial Intelligence, École de Technologie Supérieure, Montréal, QC, Canada, 3Department of Physics, Soochow University, Taipei, Taiwan, 4Google Inc, New York, NY, United States

The goal of this project was to combine MRI, ultrasound (US) and computer science methodologies toward generating MRI at high frame rates, inside and even outside the bore. A small US transducer, fixed to the abdomen, collected signals during MRI. Based on these signals and correlations with MRI, a machine-learning algorithm created synthetic MR images at up to 100 frames per second. In one particular implementation volunteers were taken out of the MRI bore with US sensor still in place, and MR images were generated on the basis of ultrasound signal and learned correlations alone, in a 'scannerless' manner.

34
9:15
Imaging Left-ventricular Mechanical Activation in Heart Failure Patients using Cine DENSE MRI: Validation and Implications for Cardiac Resynchronization Therapy
Daniel Auger1, Kenneth C. Bilchick2, Jorge A. Gonzalez2, Sophia X. Cui1, Jeffrey W. Holmes1,2, Christopher M. Kramer2,3, Michael Salerno1,2, and Frederick H. Epstein1,3

1Department of Biomedical Engineering, University of Virginia Health System, Charlottesville, VA, United States, 2Medicine/Cardiology/Electrophysiology, University of Virginia Health System, Charlottesville, VA, United States, 3Radiology/Medical Imaging, University of Virginia Health System, Charlottesville, VA, United States

This study developed methods for imaging left-ventricular (LV) mechanical activation, with application to identifying optimal LV pacing sites for cardiac resynchronization therapy (CRT). Cine displacement encoding with stimulated echoes (DENSE) was used for strain imaging, and mechanical activation time was defined as the time of onset of circumferential shortening (TOS). Active contours were applied to strain data to automatically compute TOS.  Results showed a strong correlation between TOS and electrical activation time, heterogeneity of the location of latest activation, and a significant association between TOS at the LV pacing site and CRT response. These methods may enable improved CRT implementation.

35
9:35
PET/MR Imaging of Metabolic Bone Activity in Osteoarthritis
Feliks Kogan1, Audrey Fan1, Emily McWalter2, Uchechukwuka Monu1, Edwin Oei3, Andrew Quon1, and Garry Gold1,4,5

1Radiology, Stanford University, Stanford, CA, United States, 22Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, SK, Canada, 3Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Center, Rotterdam, Netherlands, 4Department of Bioengineering, Stanford University, Stanford, CA, United States, 5Department of Orthopaedic Surgery, Stanford University, San Francisco, CA, United States

Osteoarthritis (OA) is a leading cause of disability, resulting in reduced quality of life, at tremendous societal cost. New hybrid PET/MR systems allow for simultaneous, sensitive, and quantitative assessments of early bone activity in OA with PET, which can be correlated with high-resolution quantitative MR methods of soft tissues to study the pathogenesis of OA. We demonstrate promising initial results of simultaneous PET/MR hybrid imaging of knee OA. Results suggest that PET/MR may detect metabolic abnormalities in subchondral bone, which appear normal on MRI.  These advancements will allow us to detect and track early and reversible changes in OA.

36
9:55
Quantifying the Influence of Respiration and Cardiac Pulsations on the Cerebrospinal Fluid Dynamics using Real-Time Phase-Contrast MRI
Selda Yildiz1, Suraj Thyagaraj2, Ning Jin3, Xiadong Zhong4, Soroush Heidari Pahlavian2, Bryn Martin5, Francis Loth2, John Oshinski6, and Karim G. Sabra1

1Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, United States, 2Department of Mechanical Engineering, Conquer Chiari Research Center, The University of Akron, Akron, OH, United States, 3MR R&D Collaborations, Siemens Healthcare, Columbus, OH, United States, 4MR R&D Collaborations, Siemens Healthcare, Atlanta, GA, United States, 5Department of Biological Engineering, The University of Idaho, Moscow, ID, United States, 6Department of Radiology & Imaging Sciences and Biomedical Engineering, Emory University, Atlanta, GA, United States

Cerebrospinal fluid (CSF) flow undergoes periodic pulsatile motion driven by cardiac and the respiratory forces.  Invasive studies using spinal taps as well as non-invasive studies using phase contrast MRI (PCMRI) sequences have well documented the cardiac-driven CSF flow. PCMRI, however, often uses a conventional cine-phase contrast technique gated to the cardiac cycle, and thus cannot measure the effects of respiration or other non-cardiac transient events such as coughing. Examining these effects requires the ability to perform real-time MRI measurements of continuous CSF flow along the spine and cranial cavity, and determine accurate instantaneous CSF flow velocity values.


Oral

Myocardial Tissue Relaxometry

Room 312 Monday 8:15 - 10:15 Moderators: Jihye Jang & Graham Wright

37
8:15
Joint Native Myocardial Fat Fraction, Off-Resonance and R2*/T2* Mapping in Ischemic Cardiomyopathies
James W Goldfarb1, Usama Hasan1, and Jie J Cao1

1St Francis Hospital, Roslyn, NY, United States

Myocardial fat content, R2*/T2* and off-resonance frequency can be measured with high resolution using a native MR water-fat separation imaging technique applied to multiple gradient echo images. Significant differences in myocardial fat fraction were found consistent with fatty metaplasia in a subset of chronic myocardial infarction patients. Off-resonance and T2* changes consistent with intramyocardial hemorrhage were observed in a subset of acute myocardial infarction patients.

38
8:27
Simultaneous Multi-Slice Imaging For Whole Heart Myocardial T1 Mapping In A Single Breath-Hold
Sebastian Weingärtner1,2,3, Steen Moeller2, Kâmil Uğurbil2, Chetan Shenoy4, and Mehmet Akçakaya1,2

1Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States, 2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 3Computer Assisted Clinical Medicine, Heidelberg University, Mannheim, Germany, 4Department of Cardiology, University of Minnesota, Minneapolis, MN, United States

Myocardial T1-mapping bears promise for evaluation of numerous cardiomyopathies, but requires multiple breath-hold scans with conventional techniques. In this study we explored the acceleration potential of multi-band imaging for myocardial SAPPHIRE T1-mapping with 3-slice coverage in a single breath-hold. Three linear methods for slice and in-plane unaliasing were evaluated. Phantom studies confirmed the accuracy of the proposed T1-mapping method, and in-vivo evaluation has shown reliable image quality with 3-fold acceleration at the cost of 1.3 to 1.7-fold increased in-vivo variability. Smaller loss in-vivo precision was achieved using regularized methods, for the trade-off against increased inter-slice leakage.

39
8:39
Free-Breathing, Non-ECG-Gated, Continuous Myocardial T1 Mapping and ECV Quantification with Multitasking
Jaime L. Shaw1,2, Anthony Christodoulou1,3, Behzad Sharif1, and Debiao Li1,2

1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, UCLA, Los Angeles, CA, United States, 3Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA

Currently used T1 mapping techniques utilize both ECG gating and breath-holds/navigators with low imaging efficiency and/or respiratory motion artifacts. We removed the need for ECG gating and respiratory monitoring with Cardiac MR Multitasking, a continuous acquisition technique using a low-rank tensor (LRT) imaging framework. The aim of this work is to validate a free-breathing, non-ECG-gated native T1 mapping and ECV quantification method in healthy subjects against standard MOLLI T1 mapping.

40
8:51
Optimized Single Pre/Post Contrast Protocol for MOLLI T1 Mapping with Inversion Group (IG) Fitting
Marshall Sussman1,2, Luigia D'Errico1, and Bernd Juergen Wintersperger1,2

1Medical Imaging, University Health Network, Toronto, ON, Canada, 2Medical Imaging, University of Toronto, Toronto, ON, Canada

A major focus in cardiac research is the assessment of myocardial pathology using quantitative T1 mapping.  A number of sequences are being investigated for this task.  One candidate is MOLLI.  It provides superior precision to other cardiac T1 mapping techniques.  However, its precision is dependent on heart rate and range of T1 values present.  Current attempts at optimizing precision are somewhat impractical, as they utilize separate MOLLI protocols for different heart rates, and for pre/post contrast imaging.  This study identifies a single MOLLI protocol optimal for precision over a broad range of heart rates and pre/post contrast T1 values. 


41
9:03
Early Gradual Assessment of Tissue Injury and Functional Outcome after Myocardial Infarction by Cardiovascular Magnetic Resonance T1 Mapping
Sebastian Maximilian Haberkorn1,2, Christoph Jacoby1, Jürgen Schrader2,3, Malte Kelm1,3, and Uli Flögel2,3

1Department of Cardiology, University Hospital Duesseldorf, Duesseldorf, Germany, 2Department of Molecular Cardiology, Heinrich-Heine University Duesseldorf, Duesseldorf, Germany, 3Cardiovascular Research Institute Duesseldorf, Heinrich-Heine University, Duesseldorf, Germany

The value of CMR to distinguish between the severity of ischemic injuries after myocardial (MI) has yet to be established. Here, we quantified local tissue injuries and their correlation with functional outcome in two different experimental models of MI including native and post-contrast T1 maps, T2 maps and LGE. Only native T1 maps enabled in the acute phase after MI the detection of substantial differences in myocardial tissue texture between the two models, where neither of the other measures was indicative. In conclusion, native T1 mapping enables a gradual assessment of myocardial injury and holds predictive potential for the functional outcome.

42
9:15
Multiparametric Characterization of Myocardial Tissue by Contrast-Enhanced Cardiac Magnetic Resonance Imaging in Subjects with Prediabetes, Diabetes and Controls from a Western General Population – Results of the KORA-MRI-Study
Corinna Christina Storz1, Holger Hetterich2, Roberto Lorbeer2, Sigrid Auweter2, Wolfgang Rathmann3, Christopher L Schlett4, Annette Peters5,6,7, Konstantin Nikolaou8, Fabian Bamberg8, and Jeanette Schulz-Menger9,10

1Radiology, University Hospital Tuebingen, Tuebingen, Germany, 2Clinical Radiology, Ludwig-Maximilians-University Munich, Germany, 3Biometry and Epidemiology, German Diabetes Center Duesseldorf, Germany, 4Diagnostic and Interventional Radiology, University Hospital Heidelberg, Germany, 5Epidemiology II, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Neuherberg, Germany, 6Cardiovascular Prevention, Ludwig-Maximilians University Munich, Munich, Germany, 7German Center for Cardiovascular Disease Research (DZHK e.V.) Munich, Munich, Germany, 8Diagnostic and Interventional Radiology, University Hospital Tuebingen, Tuebingen, Germany, 9Cardiology, Charité, Experimental and Clinical Research Center and HELIOS-Clinics Berlin-Buc, Germany, 10German Center for Cardiovascular Disease Research (DZHK e. V.) Partnersite Berlin, Germany

Cardiac magnetic resonance imaging (CMR) allows for detailed characterization of the myocardium, which may be beneficial in assessing cardiomyopathy in the setting of hyperglycemic states.  We performed a comprehensive CMR protocol in subjects with prediabetes, diabetes and controls and preserved left ventricular (LV) ejection fraction (EF) in a western population-based sample. Subjects with prediabetes and diabetes had an increased LV-remodeling-index as well as higher estimates of cell volume compared with controls, while extracellular volume, as a parameter of diffuse myocardial fibrosis (MF), was decreased. This may highlight the role for hypertrophy in the pathogenesis of diabetic cardiomyopathy in this western population. 

43
9:27
Comprehensive Cardiac Structure-Function MRI in Heart Transplant Recipients:  Influence of Acute Cardiac Allograft Rejection
Ryan Dolan1, Amir Rahsepar1, Julie Blaisdell1, Kenichiro Suwa1, Allen Anderson2, Kambiz Ghafourian2, Esther Vorovich2, Jonathan Rich2, Jane Wilcox2, Clyde Yancy2, Jeremy Collins1, James Carr1, and Michael Markl1

1Radiology, Northwestern University, Chicago, IL, United States, 2Cardiology, Northwestern University, Chicago, IL, United States

Cardiac MRI provides a comprehensive structure-function evaluation of the heart with increasingly strong evidence of its ability to detect acute cardiac allograft rejection following heart transplant.  In this large cohort of transplant recipients, quantitative T2 and ECV were significantly elevated during episodes of biopsy-proven rejection compared to baseline.

44
9:39
Myocardial T2* Changes Periodically across the Cardiac Cycle and is Prolonged in Hypertrophic Cardiomyopathy: A 7.0 Tesla MRI Patient Study
Till Huelnhagen1, Fabian Hezel1, Teresa Serradas Duarte1, Min-Chi Ku1, Bert Flemming2, Erdmann Seeliger2, Marcel Prothmann3, Jeanette Schulz-Menger3, and Thoralf Niendorf1,4,5

1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association(MDC), Berlin, Germany, 2Institute for Physiology, Charité University Medicine, Berlin, Germany, 3Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 4Experimental and Clinical Research Center, a joint cooperation between the, Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 5DZHK (German Centre for Cardiovascular Research), partner site Berlin, Berlin, Germany

Ultrahigh field MR (UHF-MR) enables temporally resolved myocardial T2* mapping which benefits probing the myocardium at different physiological states. Myocardial BOLD contrast or T2* are commonly regarded as surrogates for myocardial tissue oxygenation, but the factors influencing T2* are manifold including cardiac macromorphology. Meaningful interpretation of myocardial T2* could be beneficial for understanding cardiac (patho)physiology in vivo, but requires careful identification of influential factors and their contributions to T2*. To this end, this study examines the relationship between myocardial T2* and myocardial wall thickness and investigates it’s capability to distinguish between healthy myocardium and myocardium affected by hypertrophic cardiomyopathy (HCM).

45
9:51
Myocardial extracellular volume expansion precedes functional myocardial alterations during the evolution of systemic sclerosis
Alexander Gotschy1,2, Constantin von Deuster1, Christian Stoeck1, Valeriy Vishnevskiy1, Lukas Wissmann1, Kerem Can Tezcan1, Markus Niemann3, Suzanna Jordan4, Britta Maurer4, Sebastian Kozerke1, Oliver Distler4, and Robert Manka2

1Institute for Biomedical Engineering, University & ETH Zurich, Zurich, Switzerland, 2Department of Cardiology, University Hospital Zurich, Zurich, Switzerland, 3Faculty Mechanical and Medical Engineering, Furtwangen University, Schwenningen, Germany, 4Department of Rheumatology, University Hospital Zurich, Zurich, Switzerland

Myocardial involvement is common in patients with systemic sclerosis and is known to cause myocardial fibrosis and subtle ventricular dysfunction. Both can be characterized by novel CMR methods like native T1-mapping, ECV quantification or LV deformation imaging. However, the temporal onset of myocardial fibrosis and functional impairment during the progression of the disease is still unknown. Therefore, we investigated the presence of subclinical functional and fibrotic myocardial involvement in patients with very early diagnosis of systemic sclerosis and found that the expansion of ECV can be detected before LV functional impairment, assessed by CMR feature tracking, can be observed.

46
10:03
Non-contrast free breathing and motion corrected 3D whole heart quantitative magnetization transfer imaging for assessment of myocardial fibrosis
Karina Lopez1, Radhouene Neji1,2, Rahul Mukherjee1, John Whitaker1, Reza Razavi1, Camila Muñoz1, Claudia Prieto1, Sebastien Roujol1, and Rene Botnar1

1Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom

We have developed a contrast-free free-breathing motion corrected (100% scan efficiency) 3D whole heart imaging technique for measurement of myocardial magnetization transfer ratio (MTR) maps. The sequence is based on the interleaved acquisition of MT weighted and non-MT weighted datasets and beat-to-beat rigid motion correction using 2D image navigators. Initial results in 4 healthy volunteers have shown good image quality, enabling the visualisation of the coronary arteries and MTR maps of healthy myocardium (MTR=41±7.2%). This approach promises higher sensitivity for measuring changes in macromolecule content associated with myocardial fibrosis than previous studies, justifying further investigation in a patient cohort.


Oral

White Matter & Connectivity in TBI

Room 313A Monday 8:15 - 10:15 Moderators: Andre Obenaus & Sheng-Kwei Song

47
8:15
Disrupted topological brain organizations in large-scale cortical networks between impaired and nonimpaired active fighters
Virendra Mishra1, Sarah Banks1, Charles Bernick1, and Dietmar Cordes1

1Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, United States

Several MRI studies have shown structural differences in athletes with repetitive head trauma. However, whether coordinated variation exists in brain morphology of cognitively impaired-fighters is still unknown. Using graph-theoretical methods on inter-regional cortical thickness of impaired and nonimpaired fighters, we found alteration in the coordination of the large-scale structural brain-networks of impaired-fighters. The cortical thickness of regions identified as hubs showed a negative association with processing speed in impaired-fighters. Future studies will evaluate the role of network properties in predicting cognitive impairment in active fighters. Our study opens new avenues to understand impact of repetitive head trauma on brain organization.

48
8:27
Connectivity Domain Analysis of Mild Traumatic Brain Injury: A Multi-center Study to Extract Robust Imaging Biomarkers
Armin Iraji1, Jiachen Zhuo2, Natalie M. Wiseman3, Ali-Reza Mohammadi-Nejad4, Rao Gullapalli2, Zhifeng Kou1,5, and E. Mark Haacke1,5

1Department of Biomedical Engineering, Wayne State University, Detroit, MI, United States, 2Diagnostic Radiology and Nuclear Medicine, University of Maryland, 3Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, United States, 4Henry Ford Health System, 5Department of Radiology, Wayne State University

Identification of biomarkers for mild traumatic brain injury (mTBI) diagnosis and outcome prediction is challenging due to the heterogeneity of mTBI patients. Multi-center studies help to alleviate this, but functional MRI data can be difficult to combine across sites. Here, we applied our recent connectivity domain (CD) framework and indentified predictive features of mTBI diagnosis and one-month outcome. Despite high heterogeneity of predictors between and within sites, classification accuracy did not suffer due to combination of datasets. Further multi-center analyses may benefit from use of the CD for generation of classification and outcome prediction models.

49
8:39
Diffusion Kurtosis Imaging in mild TBI patients – a Longitudinal Study
Jonathan I Sperl1, Xia Li2, Chitresh Bhushan2, Asha Singanamalli2, Ek T Tan2, Sumit N Niogi3, A. John Tsiouris3, Teena Shetty4, Pratik Mukherjee5, Joseph C Masdeu6, and Luca Marinelli2

1GE Global Research, Garching, Germany, 2GE Global Research, Niskayuna, NY, United States, 3Weill Cornell Medical Center, New York City, NY, United States, 4Hospital for Special Surgery, New York City, NY, United States, 5University of California, San Francisco, CA, United States, 6Houston Methodist, Houston, TX, United States

Diffusion Kurtosis Imaging (DKI) allows for studying microscopic changes in human brain tissue. In traumatic brain injury (TBI), this may include axonal stretching, shearing, or swelling. Particularly in mild TBI cases, effects can be subtle and standard imaging modalities fail. We study DKI in 68 mild TBI patients with normal structural imaging in a series of four exams over a 90-day period. Using tract-based spatial statistics (TBSS) we observed increased kurtosis five to ten days post-injury followed by decreased kurtosis three months later. Diffusion tensor metrics such as fractional anisotropy in this study lack the sensitivity to track microstructural changes.

50
8:51
Acute white matter abnormalities in sport-related concussion: A DTI study
Sourajit Mitra Mustafi1,2, Jaroslaw Harezlak1,3, Kevin M Koch1,4, Andrew S Nencka1,4, Timothy B Meier1,4, Andrew J Saykin1,2, Micheal McCrea1,4, Thomas W McAllister1,5, and Yu-Chien Wu1,2

1Concussion Assessment, Research and Education (CARE) Consortium, Indianapolis, IN, United States, 2Department of Radiology and Imaging Sciences, Indiana University, Indianapolis, IN, United States, 3Department of Biostatistics, Indiana University, 4The Medical College of Wisconsin, 5Department of Psychiatry, Indiana University

In the present study, we use diffusion tensor imaging (DTI) to detect acute white matter alterations in football players after sport-related concussion.  DTI scans were performed on 30 male football players who had acute concussion (24-48 hours post-injury).  Another 28 matched contact-sport players were recruited as controls.  Mean diffusivity (MD) increased significantly in concussive group compared to the contact-control group. Long fibers including corpus callosum, corona radiata, and longitudinal fasciculus were more vulnerable than the rest of the brain white matter. Within the concussed group, axial diffusivity (AD) demonstrated positive correlation with symptom severity indicating potential axonal changes/damage.

51
9:03
Long Term Changes in White Matter Following Sport-Related Concussion Measured by Diffusion Kurtosis Tensor Imaging: 6 months follow up
L. Tugan Muftuler1, Daniel V. Olson2, Melissa A. Lancaster3, and Michael A. McCrea1

1Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States, 2Department of Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 3Department of Psychiatry, Medical College of Wisconsin, Milwaukee, WI, United States

We investigated chronic white matter changes in high school and collegiate football players with history of sport-related concussion using diffusion kurtosis tensor imaging. Results demonstrated that the symptoms normalized after one week but, mean diffusivity remained significantly low in concussed football players. These findings have implications for determination of recovery following concussion.

52
9:15
Diffusion Tensor Imaging Reveals Persistent Effects on White Matter Microstructure in High School Football Players with History of Sports-Related Concussion
Ikbeom Jang1, Yukai Zou2, Eric A Nauman2,3,4, and Thomas M Talavage1,2

1Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States, 2Biomedical Engineering, Purdue University, 3Mechanical Engineering, Purdue University, 4Basic Medical Sciences, Purdue University

Diffusion Tensor Imaging has been considered a promising and sensitive imaging technology to detect subtle changes in white matter for people with mild traumatic brain injury. Although many studies have examined the immediate and near-term brain changes associated with sports-related concussions, the potential long-term consequences have been less-frequently investigated. In this study, a retrospective analysis was conducted on a subset of the Purdue Neurotrauma Group database to characterize the relationship between history of concussion and white matter diffusion properties.

53
9:27
Alterations in Brain Functional Connectivity and Global Cerebral Blood Flow in Collegiate Football Athletes over a Single Football Season
David C Zhu1, Peter Seidenberg2, Tim Bream2, Alexa Walter2, Xiaoxiao Bai2, Brian Johnson3, Hans Breiter4, Thomas M Talavage5, and Semyon Slobounov2

1Michigan State University, East Lansing, MI, United States, 2Penn State University, University Park, PA, United States, 3Philips Healthcare, 4Northwestern University, Chicago, IL, United States, 5Purdue University, West Lafayette, IN, United States

There has been growing concern over sports-related brain injuries and their long-term effects. However, the cumulative effect on the brain of sub-concussive hits is still poorly understood. Eighteen male collegiate student football athletes completed multi-modal MRI scans before and after a football season. We found significant changes of functional connectivity to the default-mode network, along with significant increase of cerebral blood flow both globally and at the postcentral gyrus. These changes point to the need for further investigation of the long-term development of brain networks in the presence of sub-concussive hits, and the potential relationship with brain vascular modification.

54
9:39
Combined DTI-derived metrics capture acute structural alterations in sports-related mild TBI (mTBI)
Arun Venkataraman1, Samuel B Tomlinson2, Steven Meyers3, Jeffrey J Bazarian4, and Jianhui Zhong5

1School of Medicine and Dentistry, University of Rochester, Rochester, NY, United States, 2School of Medicine and Dentistry, University of Rochester, 3Radiology, University of Rochester, 4Neurology and Public Health, University of Rochester Medical Center, 5Center for Brain Imaging, University of Rochester

Traumatic brain injury (TBI) is a source of considerable cost to society. Measures have been taken to increase awareness of possible injury, with safety precautions following suit. Despite this vigilance, the possibility of underdiagnosis is a reality. In this abstract, we seek to explain DTI-derived metrics and their application in the clinical setting. Tract based spatial statistics (TBSS), brain segmentation, and network analysis were applied to TBI and healthy cohorts to derive metrics that could aid in the diagnosis of mild TBI (mTBI), and provide a mechanism for quantification of severity and risk stratification.

55
9:51
Evaluation of Myelin Damage in Diffuse Traumatic Brain Injury using ViSTa-MWI
Joon Yul Choi1, Ji-Won Baek1, Jongho Lee1, and Junghoon Kim2,3

1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 2CUNY School of Medicine, The City College of New York, New York, NY, United States, 3Moss Rehabilitation Research Institute, Elkins Park, PA, United States

This study investigated myelin damage in subacute moderate to severe TBI using ViSTa-MWI. The results showed widespread reductions of MWF in patients, consistent with pathology involving diffuse axonal injury. Furthermore, the extent of myelin damage was strongly correlated with measures of injury severity and cognitive impairment, demonstrating its clinical relevance.

56
10:03
White matter changes and correlations with cognitive functions in semi-acute mild traumatic brain injury (mTBI): A hybrid diffusion imaging study
Sourajit Mitra Mustafi1, Chandana Kodiweera2, Jaroslaw Harezlak3, Laura A Flashman4, Thomas W McAllister5, and Yu-Chien Wu1

1Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States, 2Department of Psychological and Brain Sciences, Dartmouth College, Lebanon, NH, United States, 3Department of Biostatistics, Indiana University, Indianapolis, IN, United States, 4Department of Psychiatry, Dartmouth Hitchcock Medical Center and New Hampshire Hospital, Lebanon, NH, United States, 5Department of Psychiatry, Indiana University School of Medicine, Indianapolis, IN, United States

In the present study, we used multi-shell Hybrid Diffusion Imaging (HYDI) to study changes in white matter after mild traumatic brain injury (mTBI).  From HYDI data, an array of diffusion metrics was computed including diffusion tensor imaging (DTI), neurite orientation distribution and density (NODDI), and return-to-origin (P0) of the q-space analysis.  We study between group differences in diffusion metrics and within-group correlations with outcomes of cognitive functions.  In addition, we tested the group effects (i.e., interaction or moderation) on the correlations between diffusion metrics and cognitive functions. 


Oral

Tractography & Fiber Modeling

Room 313BC Monday 8:15 - 10:15 Moderators: Geoff Parker & Chantal Tax

57
8:15
A novel anatomy-based constrained global tractography
Achille Teillac1,2, Fabrice Poupon3, Jean-François Mangin3,4, and Cyril Poupon1,2

1Université Paris-Saclay, Orsay, France, 2CEA/DRF/I2BM/NeuroSpin/UNIRS, Gif-sur-Yvette, France, 3CEA/DRF/I2BM/NeuroSpin/UNATI, Gif-sur-Yvette, France, 4http://cati-neuroimaging.com/, Orsay, France

Diffusion magnetic resonance imaging is still the unique tool capable of probe the structure of the brain connectivity in vivo. Although some great advances have been made in the past decade, reconstructed tractograms often lack of anatomically accuracy. The introduction of anatomical priors has become a promise land to tackle this issue, so in this work, we propose a general spin-glass-based global tractography framework constrained by anatomical priors to better represent the sharp turns of fibers entering a gyrus and connecting to the pial surface.

58
8:27
Mesh-based anatomically-constrained tractography for effective tracking termination and structural connectome construction
Chun-Hung Yeh1, Robert Elton Smith1, Thijs Dhollander1, and Alan Connelly1,2

1The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, 2The Florey Department of Neuroscience, University of Melbourne, Melbourne, Australia

This study introduces a novel diffusion MRI streamlines tractography framework called mesh-based anatomically-constrained tractography (MACT) that incorporates high-resolution surface models of various brain tissues as more accurate anatomical constraints in the fibre-tracking process. By detecting intersections between streamlines and tissue surfaces, MACT can effectively provide meaningful track terminations and inter-areal connections by associating streamlines with the structural labels of the intersected surfaces. This therefore minimises uncertainties caused by heuristic mechanisms of assigning streamlines to labelled structures in common image-based approaches. Methods that investigate the tractogram-based structural connectivity should benefit from the improved connectome reconstruction using the proposed technique.

59
8:39
Topography preserving tractography for mapping human brain pathways
Dogu Baran Aydogan1 and Yonggang Shi1

1Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States

Topographical organization is an integral property of brain’s neural pathways. In this work we propose a novel approach to quantify the topographic preservation of fiber bundles obtained using dMRI based tractography. For that we used the well known organization of the somatosensory pathway. In our study we compared the tractograms obtained using our recently developed tractography algorithm with MRtrix's iFOD1 and iFOD2 probabilistic techniques. We believe topographical organization is critical to take into consideration for tractography research for both validation purposes as well as for developing better performing tractography algorithms.

60
8:51
Characterization of the brainstem connectivity and its microstructure using diffusion MR microscopy at ultra-high field (UHF) with strong gradients
Justine Beaujoin1,2,3, Christophe Destrieux4, Jérémy Bernard1,3, Fabrice Poupon5, Jean-François Mangin2,3,6,7, and Cyril Poupon1,2,3,7

1UNIRS, CEA/I2BM/NeuroSpin, Gif-sur-Yvette, France, 2Université Paris-Saclay, Orsay, France, 3FLI / Noeud Paris-Sud, Orsay, France, 4Laboratoire d'Anatomie, Faculté de Médecine/CHRU, Tours, France, 5UNATI, CEA/I2BM/Neurospin, France, 6CEA NeuroSpin / UNATI, Gif-sur-Yvette, France, 7http://cati- neuroimaging.com/, Gif-sur-Yvette, France

The brainstem is a crossroad of the major motor and sensitive pathways but its structure is challenging to image. In this work, we demonstrate that ultra-high field(11.7T) / ultra-high gradients(780mT/m) diffusion-weighted MRI and diffusion MRI microscopy enable to map not only its finer structures, but also its fine connectivity revealed by HARDI-based tractography with the mapping of the structural connectivity of the locus ceruleus. We also assessed the enhanced contrast brought by diffusion multicompartmental models such as NODDI that reveals the microstructure of the brainstem structures, thus allowing to go a step forward in the undertstanding of its anatomo-functional organization.

61
9:03
Microstructure-Informed Tractography of the Human Optic Radiation In Vivo
Roey Schurr1, Yiran Duan2, Anthony M. Norcia2, Shumpei Ogawa3,4, Jason D. Yeatman5, and Aviv Mezer1

1Edmond and Lily Safra Center for Brain Sciences, Hebrew University of Jerusalem, Jerusalem, Israel, 2Department of Psychology, Stanford University, CA, United States, 3Department of Ophthalmology, Atsugi City Hospital, Kanagawa, Japan, 4Department of Ophthalmology, The Jikei University School of Medicine, Tokyo, Japan, 5Department of Speech & Hearing Sciences, University of Washington, Seattle, WA, United States

Accurate identification of the Optic Radiations (OR) in vivo has great clinical significance in pre-surgical planning. Yet traditional tractography algorithms based on diffusion MRI often fail to recover the full extent of the OR. Post-mortem histology studies show that the OR has a consistent signature of high myelination compared to adjacent white matter tracts. We therefore propose to use quantitative T1-mapping, which is sensitive to myelin, to eliminate candidate fascicles with highly variable T1 profiles. We introduce a fully automatic novel framework that integrates diffusion MRI with T1-mapping, and use it to reconstruct the OR in 62 healthy subjects.

62
9:15
Using diffusion MRI and tractography to identify macaque vertical occipital fasciculus
Hiromasa Takemura1,2, Franco Pestilli3, Kevin S Weiner4, Georgios A Keliris5,6, Sofia M Landi7, Julia Sliwa7, Frank Q Ye8, Michael A Barnett4, David A Leopold8, Winrich A Freiwald7, Nikos K Logothetis5, and Brian A Wandell4

1Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology, Suita-shi, Japan, 2Graduate School of Frontier Biosciences, Osaka University, Suita-shi, Japan, 3Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, United States, 4Department of Psychology, Stanford University, Stanford, CA, United States, 5Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 6Department of Biomedical Science, University of Antwerp, Antwerp, Belgium, 7The Rockefeller University, New York, NY, United States, 8Neurophysiology Imaging Facility, National Institute of Mental Health, National Institute of Neurological Disorders and Stroke, National Eye Institute, National Institutes of Health, Bethesda, MD, United States

We evaluated the ability of diffusion MRI-based tractography to identify macaque vertical occipital fasciculus (VOF), an important but little-studied white-matter tract connecting dorsal and ventral visual cortex. We analyzed four macaque diffusion MRI datasets with different resolution. The high-resolution post-mortem dataset reliably detects the macaque VOF, in a consistent manner with previous invasive anatomical studies. Lower resolution in vivo data showed qualitatively consistent results, but the estimated tract endpoints are restricted to sulcus. Taken together, our results demonstrate that the need for high-resolution diffusion MRI to identify certain critical  white matter tracts.

63
9:27
Impact of acquisition strategies and spherical deconvolution algorithms on brain connectivity mapping in early multiple sclerosis
Carmen Tur1, Francesco Grussu1, Ferran Prados1,2, Thalis Charalambous1, Sara Collorone1, Niamh Cawley1, Baris Kanber1,2, Daniel R. Altmann1,3, Sébastien Ourselin1,4, Frederik Barkhof1,5, Jonathan D. Clayden6, Ahmed T. Toosy1, Claudia A.M. Gandini Wheeler-Kingshott1,7,8, and Olga Ciccarelli1

1UCL Institute of Neurology, Queen Square MS Centre, UCL, London, United Kingdom, 2Translational Imaging Group, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, UCL, London, United Kingdom, 3London School of Hygiene and Tropical Medicine, Medical Statistics Department, University of London, London, United Kingdom, 4Translational Imaging Group, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, UCL, United Kingdom, 5Department of Radiology and Nuclear Medicine, Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, Netherlands, 6UCL GOS Institute of Child Health, UCL, London, United Kingdom, 7Department of Brain and Behavioural Sciences, University of Pavia, Italy, 8Brain MRI 3T Mondino Research Center, C. Mondino National Neurological Institute, Italy

Multi-shell, multi-tissue (MSMT) constrained spherical deconvolution (CSD) allows precise white matter tract reconstructions in healthy brains. However, its implications for connectivity mapping in multiple sclerosis (MS) are unknown. Here we compare MSMT-CSD versus single-shell single-tissue (SSST)-CSD algorithms over different clinically-feasible diffusion-weighted protocols regarding their ability to reconstruct connectivity metrics that distinguish patients with a first inflammatory-demyelinating episode (n=19) from controls (n=12). Methodical analysis of data from time- and directionality-matched protocols showed that a greater angular resolution improves results and is preferable to choosing multi-tissue-CSD algorithms. Given similar angular resolution, all algorithms perform similarly, producing highly reproducible brain connectivity metrics. 

64
9:39
Toward interrogating relationships between grey and white matter measures using Fixel Track-Weighted Imaging and Fixel-Based Analysis
Robert E Smith1, David Raffelt1, David N Vaughan1,2, Fernando Calamante1,3, and Alan Connelly1,3

1The Florey Institute of Neuroscience and Mental Health, Heidelberg, Australia, 2Department of Neurology, Austin Health, Melbourne, Australia, 3Department of Medicine (AH/NH), The University of Melbourne, Australia

Neuroimaging studies assessing white and grey matter are most typically performed as independent analyses. The relationships between white and grey matter abnormalities are therefore poorly understood. We present a novel framework for interrogating relationships between quantitative measures derived from grey matter analysis, and diffusion MRI-based, fibre-specific white matter measures.

65
9:51
Streamlet Tractography
Matthew George Liptrot1,2, Sune Darkner1, Aasa Feragen1, and Francois Lauze1

1Department of Computer Science, University of Copenhagen, Copenhagen, Denmark, 2Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark

Streamlet tractography is a novel approach that aims to combine the benefits of both streamline and global tractography approaches. In contrast to requiring individual streamlines to successfully propagate from seed to target regions to register as a connection, here short streamlines - streamlets - are initially generated from each white-matter voxel, and then seed-to-target connectivity is assessed by evaluating connectivity between these streamlets. In this way, streamlet generation can adapt to the local environment, whilst seed-to-target connectivity is assessed at the global level. Furthermore, the proposed framework permits the inclusion of previous results and alternative data sources.

66
10:03
Spherical Deconvolution of Non-Spherically Sampled Diffusion MRI Data
Jan Morez1, Jan Sijbers1, and Ben Jeurissen1

1Vision Lab, Dept. of Physics, University of Antwerp, Antwerp, Belgium

Multi-tissue spherical deconvolution of multi-shell diffusion MRI data allows for simultaneous estimation of the white matter fiber orientation distribution function and the apparent densities of cerebrospinal fluid and grey matter. Current spherical deconvolution approaches require that the q-space samples are distributed across shells. Here we propose a new algorithm that allows one to perform spherical deconvolution on data obtained with non-spherical sampling schemes. The algorithm is demonstrated on real data with both spherical and cartesian sampling schemes.


Oral

Relaxation Methods

Room 314 Monday 8:15 - 10:15 Moderators: Charles Springer, Jr. & Pinar Özbay

67
8:15
Accelerated MR Parameter Mapping Exploiting Model-Based Simultaneous Multi-Slice Reconstruction with Hankel Subspace Learning: Application to T1 Quantification
Sugil Kim1,2, Suhyung Park2, and Jaeseok Park2

1Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea, Republic of, 2Biomedical Imaging and Engineering Lab, Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of

MR parameter mapping has been potentially of great value in diagnosing pathological diseases, but is difficult to be translated to clinical applications due to prohibitively long imaging time. It was recently shown in [1-4] that simultaneous multi-slice (SMS) imaging is highly efficient in reducing imaging time while well maintaining SNR. In this work, we propose a novel, model-based SMS reconstruction approach with Hankel subspace learning (Model-based SMS-HSL) for highly accelerated MR parameter mapping under the hypothesis that the null space in the spatial dimension, which filters out slices of no interest, is time-invariant in the parameter dimension while the dimension of temporal basis, which is found from signal evolution models, is limited. 

68
8:27
Single Breath-hold Abdominal T1 Mapping using 3-D Cartesian Sampling and Spatiotemporally Constrained Reconstruction
Felix Lugauer1, Jens Wetzl1, Christoph Forman2, Manuel Schneider1, Berthold Kiefer2, Dominik Nickel2, and Andreas Maier1

1Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany, 2MR Applications Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany

Volumetric T1 mapping in the abdomen is desirable for whole liver assessment of hepatic diseases. In case of breath-hold imaging, accurate but time-consuming methods that sample the relaxation curve (IR or Look-Locker) are restricted to few slices only. To address these limitations, sparse Cartesian sampling with spatiotemporal incoherence is utilized to render 3-D Look-Locker within a single breath-hold possible. We demonstrate feasibility in both phantom and in-vivo measurements. The proposed method shows high agreement with a 2-D reference acquisition and enables an accurate mapping for a wide T1 range, including very low values due to its high temporal resolution.

69
8:39
Accelerating High Resolution Hyperpolarized 13C T2 Mapping Using a Local Low Rank plus Sparse Reconstruction
Eugene Milshteyn1,2, Galen D. Reed3, Cornelius von Morze1, Zihan Zhu1,2, Jeremy W. Gordon1, and Daniel B. Vigneron1,2

1Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 2UC Berkeley-UCSF Graduate Program in Bioengineering, UCSF and University of California, Berkeley, San Francisco, CA, United States, 3HeartVista Inc., Los Altos, CA, United States

Hyperpolarized 13C probe development has allowed in vivo monitoring of different physiological processes relating to various diseases, including cancer and diabetes. Each new probe is typically characterized with polarization and T1 measurements, but T2 is also an important parameter for optimal sequence design, including progressive flip angle schemes. To improve the spatiotemporal resolution of T2 mapping sequences and subsequent multi-exponential analysis, this project investigated using a local low rank plus sparse reconstruction for 2-fold acceleration of in vivo T2 mapping with the bSSFP sequence.

70
8:51
Ultrafast T2 mapping using echo-split GRASE acquisition and parametric POCSMUSE reconstruction
Mei-Lan Chu1,2, Hing-Chiu Chang3, Koichi Oshio4, and Nan-kuei Chen1,2

1Department of Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 2Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, United States, 3Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, 4Department of Diagnostic Radiology, Keio University School of Medicine, Japan

Our novel ultrafast T2 mapping framework, which uniquely integrates echo-split GRASE acquisition and parametric POCSMUSE reconstruction, has the following major advantages. First, parametric T2 map and high-quality multi-contrast images can be derived from a single set of single-shot GRASE data, with inherently low susceptibility to motion artifacts. Second, contamination of stimulated and other high order echoes is minimized in the echo-split GRASE scans. Third, T2 relaxation times can be accurately measured by the parametric POCSMUSE algorithm, which incorporates multiplexed parallel MR reconstruction and multi-echo-pathway signal modeling into a unified procedure.

71
9:03
Ultrafast compartmental relaxation time mapping with linear algebraic modeling
Yi Zhang1, Xiaoyang Liu1,2, Jinyuan Zhou1,3, and Paul A. Bottomley1

1Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, MD, United States, 2Department of Electrical and Computer Engineering, Baltimore, MD, United States, 3F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States

Image contrast afforded by tissue longitudinal (T1) and transverse (T2) relaxation times is central to the success of modern MRI. Here, a recently-proposed ‘spectroscopy with linear algebraic modeling’ (SLAM) method is adapted to dramatically accelerate relaxation time imaging at 3 Tesla in phantoms, the abdomens of six volunteers and in six brain tumor patients. SLAM is validated by omitting up to 15/16ths (94%) of the data acquired retroactively from inversion recovery and multi-echo spin-echo sequences, and proactively applied to accelerate abdominal and brain tumor T1 and T2 measurements by up to 16-fold in humans. 

72
9:15
Variable Flip Angle Radial Turbo Spin Echo Technique for Abdominal T2 Mapping
Mahesh Bharath Keerthivasan1, Manojkumar Saranathan2, Jean-Philippe Galons2, Diego R Martin2, Ali Bilgin1,2, and Maria Altbach2

1Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States, 2Medical Imaging, University of Arizona, Tucson, AZ, United States

The estimation of T2 relaxation times within lesions can provide a quantitative method of classifying abdominal neoplasms. Accelerated T2 mapping approaches have been proposed using the Radial TSE (RADTSE) sequence, where high resolution images at multiple TEs are reconstructed from data acquired in a single breath hold. However, the slice coverage for TSE based breath-held imaging is SAR restricted, motivating the need to reduce the refocusing flip angle. We present a variable refocusing flip angle RADTSE sequence designed to optimize the signal evolution for T2 mapping in the abdomen with reduced SAR, thereby increasing the slice coverage. 

73
9:27
Robust VFA relaxometry by Continuous Saturation of Magnetization Transfer (CSMT) effects with Non-selective Multi-Band pulses.
Rui Pedro A. G. Teixeira1,2, Anthony N. Price1,2, Ana A. Baburamani1, Shaihan J. Malik1, and Joseph V. Hajnal1,2

1Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 2Centre for the Developing Brain, King's College London, London, United Kingdom

Variable Flip Angle (VFA) relaxometry methods have recently been shown to be sensitive to magnetization transfer (MT) induced bias. Common description of this effect relies on a two-pool model (restricted macromolecular pool & visible free water pool). Current practice to restrict influence of MT consists in stretching of RF pulse durations in order to minimize/counter-balance the effect of macromolecular exchange for different flip angle measurements. This work proposes to minimize the estimation bias by using constant saturation MT pulses that simultaneously excite the free-water pool and saturate the restricted-pool creating constant RF-saturation conditions independently of the flip angle (FA) applied.

74
9:39
Mitigating the Effect of Magnetization Transfer in Magnetic Resonance Fingerprinting
Tom Hilbert1,2,3, Tobias Kober1,2,3, Tiejun Zhao4, Tobias Kai Block5,6, Zidan Yu5,6, Jean-Philippe Thiran3, Gunnar Krueger2,3,7, Daniel K Sodickson5,6, and Martijn Cloos5,6

1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 2Department of Radiology, University Hospital (CHUV), Lausanne, Switzerland, 3LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 4Siemens Medical Solution USA, Pittsburgh, PA, United States, 5New York University School of Medicine, Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York, NY, United States, 6Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, United States, 7Siemens Medical Solutions USA, Inc., Boston, MA, United States

Magnetic Resonance Fingerprinting (MRF) is a powerful technique for the quantification of relaxation parameters, and ideally provides correct estimates independent from the sequence used. In this work, we show that the quantification can be influenced by the pulse duration or, equivalently, the pulse bandwidth. This behavior, which we hypothesize to be related to magnetization transfer (MT) effects, is shown for the PnP-MRF sequence. We propose a first approach to encode MT effects in the MRF sequence and to model MT effects in the reconstruction, showing that this mitigates the bias in the resulting relaxation estimates.


75
9:51
Clinically viable FAST-T2 based whole brain myelin water content mapping: T1 validation and initial MS lesion study
Thanh D. Nguyen1, Yihao Yao1, Pascal Spincemaille1, Eric Morris2, Susan A. Gauthier2, and Yi Wang1

1Radiology, Weill Cornell Medical College, New York, NY, United States, 2Neurology, Weill Cornell Medical College, New York, NY, United States

The objectives of this study were to validate the accuracy of FAST-T1 mapping required for myelin water content (MWC) mapping, and to demonstrate the feasibility of fast MWC mapping in MS patients. FAST-T1 provides whole brain T1 map in 3 min, which was in excellent agreement with that obtained with the reference IR-FSE method. MWC mapping in 20 MS patients showed a consistent increase in water content in MS lesions (10.7% on average), accompanied by 62.8% increase in T1 and 44.6% decrease in MWC when compared to the contralateral NAWM.

76
10:03
Quantitative BOLD With Interleaved Acquisitions for Estimation of Extravascular $$$R_2’$$$ and Intravascular $$$R_2$$$ With Phase-Sensitive CSF Suppression
Hyunyeol Lee1, Cheng Li1, Erin K. Englund1, and Felix W. Wehrli1

1Radiology, University of Pennsylvania, Philadelphia, PA, United States

In the qBOLD technique, the accuracy of local deoxygenated blood volume and hemoglobin oxygen saturation (Yv) maps is potentially degraded due to high coupling of the two parameters in the model. As an alternative, the QUIXOTIC method measures local Yv by selectively capturing venular spins via T2-prepared velocity-selective-spin-labeling. However, CSF signals, if not suppressed, may impair accuracy of venular blood T2 estimation. In this work, extravascular R2’ and intravascular Rmapping methods are interleaved to reduce estimation uncertainty in the qBOLD model while the accuracy of preliminary venular T2 estimates from the latter is further enhanced via phase-sensitive CSF suppression. 


Oral

System Imperfections: Measurement & Correction

Room 315 Monday 8:15 - 10:15 Moderators: Adrienne Campbell-Washburn & Florian Wiesinger

77
8:15
Model-based Gradient Impulse Response Harvesting
Bertram Jakob Wilm1, Benjamin Emanuel Dietrich1, Jonas Reber1, Johanna Vannesjo2, Alen Mujkanovic1, and Klaas Paul Pruessmann1

1Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland, 2FMRIB Centre, University of Oxford, Oxford, United Kingdom

Concurrent field monitoring is currently limited to observation times in the order of 100 ms. However, for many purposes it is desirable to determine field dynamics continuously without interruption. To address this need we propose model-based gradient impulse response function (GIRF) harvesting, where GIRFs are continuously updated during the MR experiment. From the harvested GRIFs and the known input to the gradient chains, continuous gradients are obtained. The model-based approach allows to robustly determine continuous gradient fields with high precision. The method is demonstrated by stabilizing a gradient-demanding EPI scan.

78
8:27
Measurement of Small-Tip RF Pulses using Gradient Reversal
Vanessa Landes1 and Krishna Nayak1

1University of Southern California, Los Angeles, CA, United States

We present a simple pulse sequence for measuring RF pulses in the small-tip regime. In a uniform phantom, results matched closely (<4% difference) with a pick-up RF coil over a broad range of RF pulse parameters, with one outlier (6.1% difference). In non-uniform phantoms and in-vivo, this method combined with an outer-volume suppression (OVS) pre-pulse produced accurate (<3% difference) measurements compared to a pick-up RF coil. Speed and lack of additional hardware could make the proposed method ideal for RF pre-distortion correction.

79
8:39
Thermal Variation and Temperature-Based Prediction of Gradient Response
Benjamin Emanuel Dietrich1, Jennifer Nussbaum1, Bertram Jakob Wilm1, Jonas Reber1, and Klaas Paul Pruessmann1

1Institute for Biomedical Engineering, University of Zurich and ETH Zurich, Zurich, Switzerland

Under the assumption that a gradient system is linear and time-invariant (LTI), accurate gradient field waveforms can be predicted by gradient response functions. However, time-invariance can be violated due to heating of system components. Temperature sensors can be used to assess heating of the gradient coils. To assess the predictability of gradient response function based on temperature measurements, the temperature dependence of gradient response functions is analyzed using an NMR probe based field camera and optically connected temperature sensors. From this data a prediction model is generated and tested for its application in image reconstruction.

80
8:51
Effects of RF pulse profile and within-slice phase dispersion on accuracy of MR fingerprinting with balanced SSFP readout
Su-Chin Chiu1, Te-Ming Lin2, Jyh-Miin Lin3,4, Hsiao-Wen Chung5, Cheng-Wen Ko6, Martin Büchert7, and Michael Bock7

1National Taiwan University, Taipei, Taiwan, 2Radiology, Veterans General Hospital, Taipei, Taiwan, 3Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan, 4Radiology, University of Cambridge, Cambridge, United Kingdom, 5Electrical Engineering, National Taiwan University, Taipei, Taiwan, 6Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan, 7Radiology, University Medical Center Freiburg, Freiburg, Germany

To investigate the effects of within-slice phase dispersion and RF pulse profile on quantitative relaxation mapping using MR fingerprinting with balanced steady-state free precession readout, simulations based on Bloch equations were performed assuming uniform distributions of off-resonance frequency (widths from 0, 1.0, to 2.0 Hz) and imperfect slice profiles of sinc-shaped RF pulses without and with side lobes.  Results showed that slight within-slice phase dispersion by 1 to 2 Hz resulted in prominent T2 under-estimations, particularly at large T2 values.  Slice profile imperfection led to under-estimations of T1, which became greater as regional off-resonance frequencies increased.

81
9:03
A New Background Field Removal Method Using Region Adaptive Kernel for Human Brain MRI
Jinsheng Fang1, Lijun Bao1, and Zhong Chen1

1Department of Electronic Science, Xiamen University, Xiamen, People's Republic of China

we propose a new background field removal method by using region adaptive kernel (REAK) based on local energy distribution. Experimental results on simulation data and in vivo human data demonstrated that our method has good performance on suppressing the susceptibility artifacts caused by large susceptibility variations, such as over boundary regions of brain skull, venous vessels and paranasal sinuses. This can facilitate the susceptibility map reconstruction and achieve more accurate QSM approximate to the results of COSMOS, which is helpful for the QSM technique and its application in the clinical medicine.

82
9:15
Influence of the gradient delay correction on self-navigated motion resolved reconstruction with golden angle stack-of-stars acquisition
Xucheng Zhu1, Mariya Doneva2, Peder E.Z. Larson1,3, and Michael Lustig1,4

1Bioengineering, UC Berkeley-UCSF Graduate Program in Bioengineering, San Francisco, CA, United States, 2Philips Research Europe, Hamburg, Germany, 3Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 4Department of Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, CA, United States

Gradient delay often leads to misalignment of k-space data, which induces artifacts on reconstructed images. As many self-gated motion correction methods largely depend on central k-space data, misalignment might affect motion state estimation and reconstruction. In order to acquire robust motion states and improve motion resolved reconstruction, we propose a workflow incorporating gradient delay correction, robust motion extraction, and motion resolved reconstruction. We tested our method on in vivo volunteer data, and demonstrate the improvement over a reconstruction that does not account for these delays.

83
9:27
Image Reconstruction with Integrated Gradient-Nonlinearity Correction and Constrained Spatial Support
Shengzhen Tao1, Joshua D Trzasko1, Paul T Weavers1, Yunhong Shu1, John Huston III1, Erin M Gray1, and Matt A Bernstein1

1Radiology, Mayo Clinic, Rochester, MN, United States

Due to engineering limitations, the spatial-encoding gradient fields in MRI are not exactly linear across the entire field-of-view. If not properly accounted for during reconstruction, the gradient-nonlinearity (GNL) causes image distortion and artificial signal intensity change. Conventionally, the GNL effects are corrected after image reconstruction using image-domain interpolation, followed by intensity correction using the Jacobian-determinant of the distortion field. Images corrected using this method can suffer from noise amplification at regions with strong GNL distortion. Here, we develop a model-based reconstruction method with integrated GNL correction and constrained spatial support, and demonstrate reduced noise amplification effect using this method.

84
9:39
Accelerated Imaging of Metallic Implants Using a Double-Peak-Model Constraint
Xinwei Shi1,2, Evan Levine1,2, Hans Weber1, and Brian A. Hargreaves1,2

1Radiology, Stanford University, Stanford, CA, United States, 2Electrical Engineering, Stanford University, Stanford, CA, United States

Multi-Spectral Imaging (MSI) enables MRI near metallic implants, but suffers from prolonged scan times. Model-based reconstruction accelerates MSI by enforcing a signal model along the spectral dimension to reduce the number of unknowns in image reconstruction. The previous signal model assumes that spins in one voxel have the same off-resonance frequency, which tends to fail where the off-resonance field changes rapidly. Here we propose a more flexible MSI signal model that allows multiple frequencies within a voxel, and demonstrate improvements with both simulated and in-vivo data. 3x net additional acceleration above partial-Fourier and parallel-imaging alone (20x in total) was achieved. 

85
9:51
Absolute MR Thermometry from Multi-Echo GRE with B0-Correction
Patrick C McDaniel1, Mark Spatz1, Bastien Guérin2,3, Patricia Ellen Grant4,5, Lawrence L Wald2,3,6, and Elfar Adalsteinsson1,6

1Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 2Athinoula A Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Radiology, Harvard Medical School, Boston, MA, United States, 4Radiology, Boston Children’s Hospital, Boston, MA, United States, 5Pediatrics, Boston Children's Hospital, Boston, MA, United States, 6Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, United States

MR thermometry offers the potential to obtain absolute and relative temperature measurements on a voxelwise basis, but is affected by B0 offsets. Since precise (<1°C) temperature measurements are important for simulation validation in phantom experiments, and since realistic phantoms and models have regions of high ΔB0 , there is a need for accurate, B0-robust temperature mapping methods. In this work, we propose such a method using a multi-TE GRE acquisition and validate it in phantom experiments. 

86
10:03
Uniform Spatiotemporal Excitation Despite Extreme B0 Inhomogeneity Using Dynamically-Driven Multi-Coil Arrays
Mohan Lal Jayatilake1, Christoph Juchem 2, Michael Mullen3, Lance DelaBarre3, Gregor Adriany4, Robin de Graaf5, and Michael Garwood3

1Center for Magnetic Resonance Research, University of Minnesota, Minnesota, MN, United States, 2Departments of Biomedical Engineering and Radiology, Columbia University in the City of New York, NY, United States, 3Center for Magnetic Resonance Research, University of Minnesota, MN, United States, 4Center for Magnetic Resonance Research, University of Minnesota, Minnesota, United States, 5Department of Radiology and Biomedical Imaging, Yale University School of Medicine, NY, United States

Developments of new imaging strategies that tolerate extreme B0 inhomogeneity can reduce size and cost of MRI magnets; but with conventional MRI methods, a highly uniform B0 is still required to obtain high quality images. Previously we demonstrated spatiotemporal excitation of spins in the presence of large B0 inhomogeneity when driving a multi-coil array with the dynamic multi-coil technique known as DYNAMITE. In that work, tolerance to B0 inhomogeneity began to degrade when the frequency variation exceeded +/-40 kHz, which is insufficient for imaging with a small magnet. Here we present a technique to substantially extend the range of B0 inhomogeneity tolerance of this approach when using RF pulses based on the principle of offset-independent adiabaticity (OIA).


Oral

Mostly Muscle

Room 316A Monday 8:15 - 10:15 Moderators: Steven Baete & David Bluemke

87
8:15
Increased muscle BOLD following exercise training in older adults
Jill M Slade1, Anne Tonson2, David Hurley1, Mitchell Rozman1, George S Abela3, and Ronald A. Meyer2

1Radiology, Michigan State University, East Lansing, MI, United States, 2Physiology, Michigan State University, 3Medicine, Michigan State University

Functional MRI (BOLD) of skeletal muscle was used to evaluate changes in microvascular function before and after aerobic exercise training in older adults. Peak BOLD responses increased by ~30% after exercise training, supporting the use and sensitivity of BOLD MRI to assess changes in microvascular function.

88
8:27
Improved Muscle Microstructure Analysis with Diffusion Weighted Imaging and Advanced Tissue Modeling
Nagesh Adluru1, Richard Kijowski 2, and Fang Liu2

1Waisman Center, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison

Studies on musculoskeletal systems can benefit by quantitative mapping of the tissue microstructure. Parameters from traditional diffusion tensor imaging (DTI) may serve as bio-markers for assessing muscle fiber health. While these parameters are sensitive to changes of muscle fiber orientation, length and tension, they are non-specific to the changes of microstructure and microcomposition of muscle fibers. In this study, we proposed to use multi-shell diffusion weighted imaging acquisition with advanced diffusion and micro tissue modeling to improve in-vivo muscle fiber analysis and demonstrated the feasibility of applying these methods on in-vivo human thigh muscle imaging.

89
8:39
13C/31P MRS biomarkers of disease progression and response to gene therapy in a mouse model of Pompe disease
Celine Baligand1, Gary A. Todd2, Brittany Lee-McMullen3, Ravneet S. Vohra4, Barry J. Byrne2, Darin J. Falk2, and Glenn A. Walter5

1Department of Radiology, Leiden University Medical Center, C.J. Gorter Center for High-field MRI, Leiden, Netherlands, 2Department of Pediatrics, University of Florida, Gainesville, FL, United States, 3Department of Genetics, Stanford School of Medicine, Stanford, CA, United States, 4Department of Radiology, University of Washington, Seattle, WA, United States, 5Department of Physiology and Functional Genomics, University of Florida, Gainesville, FL, United States

With the emergence of rAAV-based gene therapy clinical trials in patients with glycogen storage disorders such as Pompe disease, there is a pressing need for early and non-invasive markers to assess treatment efficacy. While 13C-MRS has been used for detection of glycogen in muscle, its clinical implementation remains limited, due to its low natural abundance and inherent low sensitivity. 31P-MRS has higher sensitivity and can probe intermediates of glucose/glycogen metabolism. We sought to identify new biomarkers of Pompe disease progression in muscle using 13C/31P-MRS and 1H-HR-MAS in the mouse model of the disease, and tested their sensitivity to rAAV therapy.

90
8:51
Dynamic PCr and pH imaging of the human lower leg muscle during exercise at 3T
Oleksandr Khegai1, Guillaume Madelin1,2, Ryan Brown1,2, and Prodromos Parasoglou1,2

1Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, United States

Dynamic phosphorous MRSI is an established non-invasive method for studying muscle metabolism. It allows quantification of the post-exercise phosphocreatine resynthesis rate, which provides insights into various physiological and pathological conditions. Due to low SNR, 31P imaging experiments are typically limited by long acquisition times relative to the metabolic recovery. We developed an imaging method to measure localized phosphocreatine resynthesis and pH changes in muscles of the lower leg following exercise at 3T with a high temporal resolution of 6 s required for an accurate estimation of quantitative phosphocreatine recovery rates.


91
9:03
Dynamic interleaved NMR measurements of perfusion, deoxymyoglobin and phosphorylated metabolites during ischemic and exercise paradigms in the calf and thigh muscles
Alfredo Liubomir Lopez Kolkovsky1,2, Benjamin Marty1,2, Bertrand Coppa1,2, Eric Giacomini1, and Pierre G Carlier1,2

1NMR Laboratory, Institute of Myology, Paris, France, 2CEA, DRF, I²BM, MIRCen, Paris, France

NMR allows to investigate multiple aspects of physiological parameters like regional perfusion, blood and tissue oxygenation, intracellular pH or high-energy phosphate metabolism. In the past, interleaved multi-parametric multi-nuclear dynamic NMR imaging and spectroscopy of skeletal muscle was developed on prototype scanners. Here we developed an interleaved pulse sequence combining NMR acquisitions of a perfusion image, 1H deoxy-myoglobin and 31P spectra on a clinical system without any hardware modifications from the customer. We successfully evaluated this sequence in the ischemic calf muscle and exercising quadriceps muscle. Nevertheless, using a surface coil for pulsed-ASL measurements remains a limitation at this time.

92
9:15
Dynamic Diffusion Tensor Imaging in Normal and Compartment Syndrome Calf Muscle with MEDITI
Eric Edward Sigmund1,2, Steven Hubert Baete1,2, Karan Patel1,3, Di Wang1,3, Ricardo Otazo1,2, Prodromos Parasoglou1,2, and Jenny Bencardino1

1Radiology, NYU Langone Medical Center, New York, NY, United States, 2Center for Advanced Imaging and Innovation (CAIIR), New York, NY, United States, 3NYU Tandon School of Engineering

We describe measurement of skeletal muscle kinematics with a multiple echo diffusion tensor imaging (MEDITI) in clinical scanners.  This approach allows characterization of the microstructural dynamics in healthy and diseased muscle.  Combining the accelerated MEDITI directional encoding with a radial k-space trajectory and compressed sensing reconstruction allows spatially resolved DTI with a continuous  temporal resolution of 16 s.  Using an MR-compatible ergometer, post-exercise recovery of DTI metrics in calf muscle were quantified in a pilot cohort of 2 volunteers and 4 subjects with chronic exertional compartment syndrome (CECS).  Results indicate anisotropic exercise response and recovery with kinetics differing from relaxation contrast. 

93
9:27
Compressed Sensing accelerated time-resolved 3D phase contrast MRI of the lower leg muscles during active dorsi- and plantarflexion
Lukas M. Gottwald1, Valentina Mazzoli1,2,3, Eva S. Peper1, Qinwei Zhang1, Bram F. Coolen4, Pim van Ooij1, Gustav J. Strijkers4, and Aart J. Nederveen1

1Department of Radiology, Academic Medical Center, Amsterdam, Netherlands, 2Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 3Orthopaedic Research Lab, Radboud UMCN, Nijmegen, Netherlands, 4Department of Biomedical Engineering & Physics, Academic Medical Center, Amsterdam, Netherlands

Time-resolved 3D phase-contrast MRI can be applied to quantify muscle contraction. 3D coverage with sufficient spatiotemporal resolution (~3x3x5mm3, 160ms) can only be achieved by interleaved acquisitions during many repetitions of a motion task, resulting in long scan times (>10min). In this study we have developed an accelerated protocol, using k-space undersampling and compressed-sensing reconstruction, which was applied on the lower leg of 4 volunteers performing a foot plantar-dorsal flexion motion task.  Muscle velocities during the motion cycle of fully-sampled and accelerated protocols were compared. Acceleration was successful up to 6.4X with comparable velocities, which confirmed the benefit of this approach.

94
9:39
Magnetic Resonance Imaging of the Functional Anatomy of the Oblique Muscles in Patients with Primary Oblique Overaction
Qianwen Gong1,2, Longqian Liu1,3, and Miroslaw Janowski2,4

1Department of Optometry and Visual Science, West China Hospital, Sichuan University, Chengdu, People's Republic of China, 2Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, People's Republic of China, 4NeuroRepair Department, Mossakowski Medical Research Centre PAS, Warsaw, Poland

The cause of primary eye movement abnormality is unknown. The functional MRI of superior and inferior oblique muscles was instrumental to investigate the cause of overaction. We have shown similar size of superior oblique muscle in patients and controls in the resting state, while the MRI performed during gazes revealed differences in the contractility, what suggests the abnormal innervation as a cause of primary superior oblique muscles. In contrast, the inferior oblique muscle was larger in resting state, without a difference in contractility what indicates the hypertrophy as a basis for primary inferior oblique muscle overaction. 

95
9:51
An MRI-based assessment of the correlation between cerebral white matter changes, muscle structure, and muscle function in myotonic dystrophy
Daniel Thedens1, Cheryl Smith2, Peg Nopoulos3, Richard Shields4, and Laurie Gutmann2

1Radiology, University of Iowa, Iowa City, IA, United States, 2Neurology, University of Iowa, Iowa City, IA, United States, 3Psychiatry, University of Iowa, Iowa City, IA, United States, 4Physical Therapy and Rehabilitation Science, University of Iowa, Iowa City, IA, United States

The purpose of this work was to study subjects with myotonic dystrophy (DM1) utilizing MRI to assess correlations between global cerebral white matter abnormalities, muscle structure, and muscle function. MRI-based measures of white matter (fractional anisotropy), muscle structure (volume, fat fraction, T2 mapping) along with muscle function testing demonstrated several significant correlations. The combination of neuroimaging and muscle structure assessment with MRI holds considerable promise towards elucidating the relationships between CNS abnormalities and neuromuscular dysfunction. 

96
10:03
A Flexible Technique for Flow-Sensitive Fat-Suppressed High-Resolution Peripheral Nerve Imaging
Valentina Taviani1, Miyoshi Mitsuharu2, Kang Wang3, Kevin King4, Suchandrima Banerjee1, Sandip Biswal5, Shreyas Vasanawala5, Daehyun Yoon5, and Robert Peters4

1Global MR Applications & Workflow, GE Healthcare, Menlo Park, CA, United States, 2Global MR Applications & Workflow, GE Healthcare Japan, Hino, Japan, 3Global MR Applications & Workflow, GE Healthcare, Madison, WI, United States, 4Global MR Applications & Workflow, GE Healthcare, Waukesha, WI, United States, 5Department of Radiology, Stanford University, Stanford, CA, United States

We developed a flow-sensitive 3D fast spin echo pulse sequence with Dixon-based water-fat separation and compressed sensing for robust and efficient peripheral nerve imaging. Outer volume suppression allows shorter scan times by limiting spatial encoding of the FOV to the anatomy of interest without aliasing concerns. In addition, it improves the performance of spectrally-selective fat suppression methods, that can be advantageous for very high resolution imaging but are typically hampered by B0 inhomogeneity, by allowing shimming over smaller regions. Preliminary data showed good delineation of peripheral nerves in different anatomies, with adequate resolution and clinically feasible acquisiton times.


Oral

Female Pelvis, Fetal & Placental Imaging

Room 320 Monday 8:15 - 10:15 Moderators: Gabriele Masselli & Evis Sala

97
8:15
Amide proton transfer magnetic resonance imaging of uterine endometrial cancer: Association with histologic grade
Yukihisa Takayama1, Akihiro Nishie2, Osamu Togao2, Yoshiki Asayama2, Kousei Ishigami2, Yasuhiro Ushijima2, Daisuke Okamoto2, Nobuhiro Fujita2, Kenzo Sonoda3, Jochen Keupp4, and Hiroshi Honda2

1Department of Radiology Informatics and Network, Kyushu University, Fukuoka, Japan, 2Department of Clinical Radiology, Kyushu University, 3Department of Gynecology & Obstetrics, Kyushu University, 4Philips Research

The histologic grade of endometrioid adenocarcinoma (EMCA) is one of the important factors in choosing a treatment plan. Currently, needle biopsy or surgical resection is necessary to diagnose the histological grade; a less invasive procedure is strongly desired. In this study, we evaluated the utility of amide proton transfer (APT) imaging in estimating the histologic grade of EMCA. APT signal intensities (SIs) of EMCA increased in accordance with the progression of histologic grade. APT SIs of high-grade EMCA were significantly higher than those of low-grade EMCA. APT imaging has potential as a biomarker for histologic grade of EMCA.

98
8:27
The prognostic power of early and late phase DCE-MRI parameters in locally advanced cervix cancer.
Kjersti Vassmo Lund1,2, Trude Golimo Simonsen2, Gunnar B. Kristensen3,4,5, and Einar K. Rofstad2

1Dept og Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway, 2Dept. of Radiation Biology, Institute of cancer Research, Oslo University Hospital, Oslo, Norway, 3Dept. of Gynecological Cancer, Oslo University Hospital, Oslo, Norway, 4Institute for Cancer Genetics and Informatics, Oslo University Hospital, Oslo, Norway, 5Institute for Clinical Medicine, University of Oslo, Oslo, Norway

DCE-MRI can provide prognostic information on locally advanced cervix carcinomas.  Most studies have emphasis on the early phase of the Signal Intensity Time Curve (SITC). The purpose of this study was to explore the prognostic value of the late phase of the SITC and to reveal any added value to that of parameters from the early phase. Both the early phase parameter LETV and the late phase parameter TVIS was associated with overall survival. The association was independent of clinical factors like tumor volume, FIGO stage and lymph node status. TVIS did not provide any added prognostic value to LETV.

99
8:39
Histogram analysis of intravoxel incoherent motion MRI in predicting chemoradiotherapy response in cervical cancer
Jose Angelo Udal Perucho1, Elaine Yuen Phin Lee1, Wing Chi Lawrence Chan2, Nanjie Gong3, and Queenie Chan4

1Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, Hong Kong, 2Department  of  Health  Technology  and  Informatics, The Hong Kong Polytechnic University, Hong Kong, 3University of California, Berkeley, CA, United States, 4Philips Healthcare, Hong Kong, Hong Kong

Histogram analysis of intravoxel incoherent motion (IVIM) diffusion-weighted MRI (DWI) could be a promising quantitative approach in predicting tumour response to chemoradiotherapy (CRT) in cervical cancer. We retrospectively studied twenty-five patients with cervical cancer who had paired IVIM MRI examinations before and at week-4 of treatment. We observed that histogram skewness of true diffusion coefficient (D) prior to treatment and that a large increase in the 90th percentile of D following CRT were predictive of better CRT response. 

100
8:51
A One-Step Biomarker Quantification Methodology for DCE-MRI of Complex Ovarian Masses: Capturing Kinetic Pattern from Early to Late Enhancement
Anahita Fathi Kazerooni1,2, Mahnaz Nabil3, Hamidreza Haghighat Khah4, and Hamidreza Saligheh Rad1,2

1Quantitative MR Imaging and Spectroscopy Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran, 2Department of Medical Physics and Biomedical Engineering, Tehran University of Medical Sciences, Tehran, Iran, 3Department of Mathematics, Islamic Azad University, Qazvin Branch, Qazvin, Iran, 4Department of Diagnostic Imaging, Shohada-e-Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran

Accurate characterization of sonographically-indeterminate ovarian masses before surgery is crucial for proper disease management. While DCE-MRI has emerged as a problem-solving technique, accurate parameter estimations from semi-quantitative or PK analysis are dependent on multiple steps, including proper protocol design, motion reduction, selection of physiology-based PK model and AIF, which discourages development and reliability of computer-aided diagnostic procedures. Here, we aimed to develop a one-step pre-processing and quantification classification scheme based on a five-parameter Sigmoid model, capturing early- to late-enhancement kinetics, including washout as a previously overlooked parameter for ovarian masses, to generate accurate differentiation of complex ovarian masses.

101
9:03
Ex vivo MRI evaluation of vulvar cancer to predict resection margins in fresh wide local excision specimens: a pilot study
Jan Heidkamp1, Petra Zusterzeel2, Andor Veltien1, Arie Maat3, Ilse Van Engen-Van Grunsven3, and Jurgen Fütterer1

1Radiology and Nuclear Medicine, Radboud university medical center, Nijmegen, Netherlands, 2Obstetrics and Gynaecology, Radboud university medical center, Nijmegen, Netherlands, 3Pathology, Radboud university medical center, Nijmegen, Netherlands

Currently there’s no accurate and topical peroperative information available on the margin status of wide local resection specimens containing vulvar cancer.  In this pilot study we performed a qualitative image evaluation of ex vivo 7T MR images acquired of fresh specimens of the vulva containing vulvar cancer using different MRI sequences. High resolution T2 weighted images obtained the highest score for image quality, visibility of the tumor, and visibility of the transition between the epidermis and the resection surface.

102
9:15
Assessment of uterine artery hemodynamics in normal pregnancy with 4D Flow MRI
Eileen Hwuang1, Marta Vidorreta1, Nadav Schwartz1, John A Detre1, Daniel Licht2, and Walter RT Witschey1

1University of Pennsylvania, Philadelphia, PA, United States, 2Children's Hospital of Philadelphia, Philadelphia, PA, United States

In vivo imaging of uterine artery blood flow during remodeling is potentially valuable in assessing placental function during pregnancy. We present 4D flow MRI of the uterine arteries, demonstrating inter- and intrasubject heterogeneity in vessel anatomy and hemodynamics. This high spatial resolution, multi-location approach potentially addresses the limitations of Doppler ultrasound in quantifying pulsatility and resistance indices as clinical biomarkers of placental health.

103
9:27
In-utero non-contrast MR angiography of the fetal vasculature using a double-echo radial sampling scheme
Uday Krishnamurthy1,2, Brijesh K Yadav1, Pavan K Jella2, Swati Mody2, Edgar Hernandez-Andrade3,4, FeiFei Qu2, Anabela Trifan2, Ewart M Haacke1,2, Sonia S Hassan3,4, Roberto Romero4, and Jaladhar Neelavalli1,2

1Biomedical Engineering, Wayne State University, Detroit, MI, United States, 2Radiology, Wayne State University, Detroit, MI, United States, 3Obstetrics and Gynecology, Wayne State University, Detroit, MI, United States, 4Perinatology Research Branch, NICHD/NIH/DHHS, Detroit, MI, United States

To show that the isotropic gradient delay issue can be addressed by a simple shift of the readout-window . We also report the use of a fully flow-compensated, readout-shifted 2D radial gradient echo sequence to perform non-contrast MRA of the human fetus in-utero

104
9:39
Feasibility of glucose CEST in the human placenta
Jie Luo1, Yang Ji2,3, Esra Abaci Turk1, Iris Y Zhou2, Drucilla J. Roberts4, Patricia Ellen Grant1, and Phillip Zhe Sun2

1Fetal-neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, MA, United States, 3Center for Biomedical Engineering, Department of Electronic Science and Technology, University of Science and Technology of China, People's Republic of China, 4Pathology, Massachusetts General Hospital and Harvard Medical School, MA, United States

Placental glucose transfer is essential to sustain fetal development, yet there has been no report attempting to measure glucose transport across the human placenta with MRI-based approaches. Emerging glucose chemical exchange saturation transfer (glucoCEST) imaging is uniquely sensitive to glucose, which has been explored in tumor imaging. Herein, we have demonstrated glucoCEST MRI is a valid tool to monitor glucose perfusion in ex vivo human placenta, laying the groundwork for in vivo glucoCEST in human placenta.

105
9:51
Parametric Mapping of Oxygen Activity in Human Placenta across Gestation using in utero BOLD imaging
Vidya Rajagopalan1,2, Vince Schmithorst, Julie Coloigner, Jessica Wisnowski, Matthew Borzage, Hollie Lai, Skorn Ponrartana, Ashok Panigrahy, and Stefan Bluml

1Children's Hospital Los Angeles, Los Angeles, CA, United States, 2Rudi Schulte Research Institute

We present here, for the first time, parametric maps of oxygen activity in normal human placenta using in utero functional MR imaging. Our method highlights anatomical and gestational age dependent patterns in placental activity. These maps can be used to gain insight into normative placental function and identifying insufficient or abnormal placental functioning at various points in gestation.


106
10:03
An exploration of quantitative physiological multi-modal in-vivo imaging of the human placenta
Jana Hutter1,2, Paddy J Slator3, Jonathan O'Muircheartaigh4, Rui P Azeredo Gomes Teixeira1, Anthony N Price1, Ana Dos Santos Gomes4, Laura McCabe4, Sophie Arulkumaran4, Mary Rutherford4, and Joseph V Hajnal1

1Biomedical Engineering Department, King's College London, London, United Kingdom, 2Centre for the Developing Brain, London, United Kingdom, 3Centre for Medical Image Computing, University College London, London, United Kingdom, 4Centre for the Developing Brain, King's College London, London, United Kingdom

The crucial role of the placenta in successful pregnancies is the transfer of oxygen within functional units – cotyledons. However, current screening falls short of visualizing this in-vivo. This study explores a multi-model in-vivo MRI acquisition able to visualize and depict a range of spatial and temporal processes and the underlying micro-structure. Diffusion characteristics such as Mean Diffusivity and fractional anisotropy, quantitative T2* maps, temporal characteristics and the depiction of vasculature allow insights and can be applied to a range of research questions.


Combined Educational & Scientific Session

Combining fMRI with Advanced Neurotechniques

Room 316BC Monday 8:15 - 10:15 Moderators: Yihong Yang & Xin Yu

8:15
Overview of Cutting Edge Neurotechniques
Anna Devor1,2

1Neurosciences and Radiology, UCSD, La Jolla, CA, United States, 2MGH/Harvard, Charlestown, MA, United States

The BRAIN Initiative targets a wide range of tools for sensing, tagging, and manipulation of multiple electrical, molecular/chemical, and connectivity parameters in the working brain. Combining these tools with fMRI measurements may accelerate our progress towards understanding the brain function in health and disease, open new avenues to guide the development of treatments, and build a stronger physiological foundation for human noninvasive imaging. 

8:45
Challenges of Combining fMRI with other Neurotechniques
Albrecht Stroh1

1Johannes Gutenberg-University Mainz, Mainz, Germany


107
9:15
Chemo-fMRI: a DREADD-based approach to unravel the brainwide substrates of neuromodulation
Andrea Giorgi1,2, Giacomo Maddaloni1, Alberto Galbusera2, Sara Migliarini1, Marta Gritti3, Raffaella Tonini3, Massimo Pasqualetti1,2, and Alessandro Gozzi2

1Biology Department, University of Pisa, Pisa, Italy, 2Functional Neuroimaging Laboratory, Center for Neuroscience and Cognitive Systems, Istituto Italiano di Tecnologia, Rovereto, Italy, 3Neuroscience and Brain Technologies Department, Istituto Italiano di Tecnologia, Genova, Italy

Notable examples of the combined use of optogenetics an fMRI (i.e. “opto-fMRI”) have been recently published, revealing the possibility to map the brainwide substrates modulated by focal neuronal population. However, opto-fMRI is complicated by the use of invasive cranial implants, and the need to control the insidious contribution of heat-induced hemodynamic–responses. Here we show that “chemo-fMRI”, e.g. the combined us of DREADD-based chemogenetics and fMRI, permits to overcome these limitations, by enabling non invasive brainwide mapping of tonically-stimulated neuromodulatory systems. Chemo-fMRI mapping of serotonin-producing neurons is described as an illustrative example of the power of this novel investigational approach.

108
9:27
Detecting orientation selective deep brain stimulation using BOLD fMRI
Lauri J Lehto1, Julia P Slopsema2, Matthew D Johnson2, Artem Shatillo3, Benjamin A Teplitzky2, Lynn Utecht1, Gregor Adriany1, Silvia Mangia1, Alejandra Sierra3, Walter C Low4, Olli Gröhn1,3, and Shalom Michaeli1

1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 2Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States, 3A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland, 4Department of Neurosurgery, University of Minnesota, Minneapolis, MN, United States

Spatial selectivity is of high importance for Deep Brain Stimulation (DBS). Here we used BOLD fMRI to demonstrate for the first time that axon-orientation selective stimulation can be achieved in the rat’s corpus callosum by steering the stimulus phase of the independently driven channels in a tripolar DBS electrode. Pronounced angular dependence of the BOLD fMRI on the orientation of electric field gradient was detected. As expected based on simulations, the maximal (or minimal) BOLD response was observed when the induced dipole field was parallel (or perpendicular) to the axonal tract, respectively. 

109
9:39
Functional MRI evaluation of a novel approach to neuromodulation: Targeted delivery of GABA via focused ultrasound-mediated disruption of the blood-brain barrier
Nick Todd1, Tao Sun1, Yongzhi Zhang1, Chanikarn Power1, Chanikarn Power1, Michael Arcaro2, Sam Patz1, Margaret Livingstone2, and Nathan McDannold1

1Brigham and Women's Hospital, Boston, MA, United States, 2Department of Neurobiology, Harvard Medical School, Boston, MA, United States

Here we present a novel approach to non-invasive neuromodulation that affects neuronal activity by delivering neurotransmitter chemicals to targeted areas of the brain. This is achieved by using focused ultrasound to transiently open the blood-brain barrier in a targeted brain region such that a systemically injected neuroactive chemical such as GABA or glutamate will leak out of the vessels and into the brain parenchyma only at the intended site. We demonstrate the proof of concept in a rodent model by delivering GABA to the somatosensory cortex to suppress activation from hindpaw stimulation.

110
9:51
Optogenetically-evoked somatosensory inputs enhance sound processing in the auditory system
Celia M. Dong1,2, Alex T.L. Leong1,2, Russell W. Chan1,2, Xunda Wang1,2, and Ed X. Wu1,2

1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong, Hong Kong, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, Hong Kong

Brain-wide cross-modal interactions are important for building an accurate perception of the external world. Yet, whether and how somatosensory inputs influence the auditory processing remains unclear. Our recent study showed that low frequency optogenetic stimulation of somatosensory thalamus induced activation in auditory cortex (AC), but did not explore the functional effects on auditory system. This study investigated whether propagation of low frequency inputs from somatosensory system influences auditory processing. The results demonstrated that low frequency long-range propagation from somatosensory system enhanced auditory responses in most auditory structures, including lateral lemniscus, inferior colliculus, medial geniculate body and AC.

111
10:03
Simultaneous fMRI with GCaMP6-mediated neuronal and astrocytic calcium signal recording
Maosen Wang1,2, Yi He1,2, and Xin Yu1

1High Field Magnetic Resonance Department, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Graduate Training Centre of Neuroscience, International Max Planck Research School, University of Tuebingen, Tuebingen, Germany

Neurovascular coupling is the basis of the BOLD fMRI, however, the mechanisms of the neurovascular coupling remains elusive. By simultaneous cell-type specific Ca2+ recording with BOLD fMRI, it allowed us to study the cellular specific coupling events through the neuron-glia-vessel network. This work showed neuronal Ca2+ and evoked astrocytic Ca2+ signal were positively correlated to the fMRI signal, but an intrinsic astrocytic Ca2+ signal was negatively correlated to the fMRI signal in the cortex. It indicated a novel neuron-glia-vascular coupling event mediated through the intrinsic astrocytic calcium signal (details mechanistic study in another abstract: ID 4475).


Plenary Session

Gadolinium Deposition

Organizers: Peter Caravan, Ph.D. & Winfried Willinek, M.D.

Plenary Hall Monday 10:45 - 12:15

10:45
Gadolinium Safety & Deposition: Past, Present, & Future
Michael F Tweedle1

1Radiology, Ohio State University, Columbus, OH, United States

11:15
Gd Safety & Deposition: Impact on Practice, European Perspective
Harriet Thöny

11:45
How Does Gd Enter the Brain, When the BBB is Intact?
Shinji Naganawa

12:15
Adjournment & Meet the Teachers


Other

Gold Corporate Symposium: Siemens Healthineers

Plenary Hall Monday 12:15 - 13:45 (no CME credit)


Traditional Poster: YIA

Exhibition Hall 31-36 Monday 13:45 - 15:45 (no CME credit)

Electronic Poster: Diffusion

Exhibition Hall Monday 13:45 - 14:45 (no CME credit)

Electronic Poster: Body: Breast, Chest, Abdomen, Pelvis

Exhibition Hall Monday 13:45 - 14:45 (no CME credit)

Study Groups

MR Safety & High Field Study Groups

Room 323ABC Monday 13:45 - 15:45 (no CME credit)


Study Groups

Cardiac MR Study Group

Room 317AB Monday 13:45 - 15:45 (no CME credit)


Educational Course

Advanced Imaging of Pain

Organizers: Jenny T. Bencardino, M.D., Eric Y. Chang, M.D., Christine Chung, M.D. & Philip Robinson, M.D.

Room 316A Monday 13:45 - 15:45 Moderators: Emily McWalter & Edwin Oei

13:45
Update on MRI Imaging of Low Back Pain
Lawrence Neil Tanenbaum1

1Imaging, Radnet, New York, NY, United States

DWI is a powerful addition to the arsenal of MR imaging techniques for the detection of bone marrow tumor dissemination, improving sensitivity to involvement in a variety of tumor types (2).  DWI increases confidence in monitoring treatment response and assisting in the differentiation of treatment related changes from tumor   Distinguishing between benign and malignant etiologies of vertebral fracture with MRI is problematic, particularly if only one vertebra is affected. The value of DWI in discriminating between osteoporotic and metastatic vertebral fractures is controversial and by consensus insufficiently reliable (4-6).   DWI is useful for differentiation of degenerative and infectious endplate abnormalities (7-9). Symptomatic degenerative vertebral endplate signal changes (Modic type 1) can be difficult to differentiate from acute spondylodiscitis using conventional MRI techniques. Several studies have shown that DWI adds value in differentiating degenerative and infectious endplate abnormalities. The role of MRS in identifying the painful disc and PET MR in localizing back pain will be discussed

14:15
MR Imaging of Brachial Plexus
Kimberly Katz Amrami1

1Mayo Clinic


14:45
Current Concepts on MR Neurography
Gustav Andreisek

MR Neurography has stepped out from being an emerging technique into clinical retort routine. This lecture will review current concepts on MR neurography and will provide an impression on how it may be used on a day-to-day basis.

15:15
MR US Fusion Guided Intervention for Pain Syndromes
Christopher Burke

Ultrasound (US) systems equipped with position sensors can acquire three-dimensional spatial data allowing registration with previously acquired magnetic resonance (MR) imaging for fused real-time sonographic imaging.  Co-registration and fusion of alignment involves sequential algorithmic transformations minimizing the error between the output and target image.  An electromagnetic field generator is used to track transducer orientation to simultaneously map real-time US with corresponding anatomy on pre-acquired MR.  The potential utility of this technology in the treatment of various pain syndromes in particular certain joint, tendon and perineural therapies will be described.

15:45
Adjournment & Meet the Teachers


Power Pitch

Pitch: Body MRI Quantitative

Power Pitch Theater A - Exhibition Hall Monday 13:45 - 14:45 Moderators: Edwin VanBeek & Patrick Bolan (no CME credit)

112
13:45
Accelerated Segmented Diffusion-Weighted Prostate Imaging for Higher Resolution, Higher Geometric Fidelity, and Multi-b Perfusion Quantification
Pelin Aksit Ciris1, Jr-yuan George Chiou2, Daniel Glazer2, Shelley Hualei Zhang2, Tzu-Cheng Chao3, Bruno Madore2, and Stephan Ernst Maier2,4

1Department of Biomedical Engineering, Akdeniz University, Antalya, Turkey, 2Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States, 3Department of Computer Science, National Cheng Kung University, Tainan City, Taiwan, 4University of Gothenburg, Gothenburg, Sweden

113
13:45
Towards validation and non-invasive interrogation of the hypoxia-driven insulin resistance hypothesis
Scott Charles Beeman1, Gordon Smith2, Joel Richard Garbow1, and Joseph JH Ackerman1,3

1Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, United States, 2Department of Medicine, Washington University in St. Louis, St. Louis, MO, United States, 3Department of Chemistry, Washington University in St. Louis

114
13:45
Measuring temperature in brown adipose tissue using the proton chemical shift
Clemens Diwoky1, Renate Schreiber1, and Rudolf Zechner1

1Institute of Molecular Biosciences, University of Graz, Graz, Austria

115
13:45
Development of a Noninvasive Beta Cell Functional Assay Using a Novel Zinc-Sensitive MRI Contrast Agent in Non-Human Primates
Catherine D. G. Hines1, Veronica Clavijo-Jordan2,3, Liza T Gantert1, Stacey Conarello4, Christian Preihs2,5, Sarah Chirayil2, Rachel Ortiga4, Shu-An Lin1, Michael Klimas6, A. Dean Sherry2,3,5,7, and Jeff Evelhoch6

1Translational Imaging Biomarkers, Merck Research Laboratories, West Point, PA, United States, 2Advanced Imaging Research Center, The University of Texas Southwestern Medical Center, Dallas, TX, United States, 3Radiology, The University of Texas Southwestern Medical Center, Dallas, TX, United States, 4Pharmacology, Merck Research Laboratories, West Point, PA, United States, 5VitalQuan, LLC, Dallas, TX, United States, 6Translational Biomarkers, Merck Research Laboratories, West Point, PA, United States, 7Chemistry, The University of Texas at Dallas, Richardson, United States

116
13:45
Feasibility of Estimating Placental Oxygen Metabolism in Pregnant Women $$$in$$$ $$$vivo$$$: Initial Experience
Ana E Rodríguez-Soto1, Michael C Langham1, Nadav Schwartz2, and Felix W Wehrli1

1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Obstetrics and Gynecology, Division of Maternal-Fetal Medicine, University of Pennsylvania, Philadelphia, PA, United States

117
13:45
Free-breathing R2* Characterization of the Placenta During Normal Early Gestation Using a Multiecho 3D Stack-of-Radial Technique
Tess Armstrong1,2, Dapeng Liu1, Thomas Martin1,2, Alto Stemmer3, Yutaka Natsuaki4, Sherin U. Devaskar5, Carla Janzen6, Teresa Chanlaw5, Rinat Masamed1, Daniel Margolis7, Kyunghyun Sung1,2, and Holden H. Wu1,2

1Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States, 2Physics and Biology in Medicine, University of California Los Angeles, Los Angeles, CA, United States, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Siemens Healthcare, Los Angeles, CA, United States, 5Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States, 6Obstetrics and Gynecology, David Geffen School of Medicine at UCLA, Los Angeles, CA, United States, 7Radiology, Weill Cornell Medical College, New York, NY, United States

118
13:45
Respiratory $$$\alpha$$$-mapping of cystic fibrosis at 1.5T
Orso Pusterla1,2, Grzegorz Bauman1,2, Sylvia Nyilas3, Philipp Madörin1, Bernd Jung4, Michael Ith4, Enno Stranzinger4, Urs Frey5, Philipp Latzin3, and Oliver Bieri1,2

1Department of Radiology, Division of Radiological Physics, University of Basel Hospital, Basel, Switzerland, 2Department of Biomedical Engineering, University of Basel, Basel, Switzerland, 3Division of Respiratory Medicine, Department of Pediatrics, University Children's Hospital of Bern, Bern, Switzerland, 4University Institute for Diagnostic, Interventional and Pediatric Radiology, Bern University Hospital, Bern, Switzerland, 5Department of Pediatric Pneumology, University Children's Hospital Basel, Basel, Switzerland

119
13:45
5D MRI for late enhancement dynamics in lung fibrosis
Maria Teodora Antuaneta Buzan1,2, Julien Dinkel3, Christopher Rank4, Claus Peter Heussel2, Marc Kachelrieß 4, Robert Grimm5, and Andreas Wetscherek4,6

1Department of Radiology, Papworth Hospital NHS Foundation Trust, Cambridge, United Kingdom, 2Department of Diagnostic and Interventional Radiology with Nuclear Medicine, Thoraxklinik at Heidelberg University Hospital, Heidelberg, Germany, 3Institute for Clinical Radiology, Ludwig-Maximilians-University Hospital Munich, Munich, Germany, 4Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany, 5Siemens Healthcare, Erlangen, Germany, 6Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom

120
13:45
Quantification of short-T2* Signal Components in the Liver using Radial 3D UTE Chemical Shift-Encoded MRI
Ante Zhu1,2, Diego Hernando2,3, Kevin M. Johnson2,3, and Scott B. Reeder1,2,3,4,5

1Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 4Medicine, University of Wisconsin-Madison, Madison, WI, United States, 5Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States

121
13:45
REnal Flow and Microstructure AnisotroPy (REFMAP) MRI in Normal and Peritumoral Renal Tissue
Andrea Liu1, Artem Mikheev2, Henry Rusinek2,3, William Huang4, Hersh Chandarana2,3, and Eric Edward Sigmund2,3

1NYU School of Medicine, NYU Langone Medical Center, New York, NY, United States, 2Radiology, NYU Langone Medical Center, New York, NY, United States, 3Center for Advanced Imaging and Innovation (CAIIR), New York, NY, United States, 4Urology, NYU Langone Medical Center, New York, NY, United States

122
13:45
Addressing Metabolic Heterogeneity in Clear Cell Renal Cell Carcinoma with Quantitative Magnetic Resonance Imaging
Yue Zhang1, Durga Udayakumar1, Ling Cai2, Zeping Hu2, Payal Kapur3, Eun-Young Kho2, Andrea Pavía-Jiménez4, Michael Fulkerson1, Alberto DiazdeLeon1, Qing Yuan1, Ivan E Dimitrov5, Takeshi Yokoo1, Jin Ye6, Matthew Mitsche6, Hyeonwoo Kim6, Jeffrey McDonald6, Yin Xi1, Ananth J Madhuranthakam1, Robert E Lenkinski1, Jeffrey A Cadeddu7, Vitaly Margulis7, James Brugarolas8, Ralph J Deberardinis2, and Ivan Pedrosa1

1Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 2Children's Medical Center Research Institute, UT Southwestern Medical Center, Dallas, TX, United States, 3Pathology, UT Southwestern Medical Center, Dallas, TX, United States, 4Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States, 5Philips Medical Systems, Cleveland, OH, United States, 6Molecular Genetics, UT Southwestern Medical Center, Dallas, TX, United States, 7Urology, UT Southwestern Medical Center, Dallas, TX, United States, 8Internal Medicine & Kidney Cancer Program, UT Southwestern Medical Center, Dallas, TX, United States

123
13:45
Liver Fat Reduction Following Bariatric Weight Loss Surgery is Greater in the Right Lobe of the Liver
Soudabeh Fazeli Dehkordy1, Tanya Wolfson2, Cheng William Hong1, Alexandra Schlein1, Yesenia Covarrubias1, Jennifer Cui1, Ethan Z Sy1, Adrija Mamidipalli1, Gavin Hamilton1, Scott B Reeder3, and Claude B Sirlin1

1Liver Imaging Group, Department of Radiology, University of California San Diego, San Diego, CA, United States, 2Computational and Applied Statistics Laboratory, University of California San Diego, San Diego, CA, United States, 3Department of Radiology, Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin Madison, Madison, WI, United States

124
13:45
In Vivo Biochemical and Histological Validation of Proton Density Fat Fraction as a Quantitative Biomarker of Hepatic Steatosis
Scott B Reeder1,2,3,4,5, Curtis N Wiens1, Nathan Artz1,6, Jeffrey B Schwimmer7, Rashmi Agni8, Rao Watson8, Tanya Wolfson9, Anthony Gamst10, Guilherme Campos11,12, Santiago Horgan13, Luke Funk12, Garth Jacobsen13, Jacob Greenberg12, Alexandra Schlein14, Yesenia Covarrubias14, Jonathan C Hooker14, Michael S Middleton14, Gavin Hamilton14, Benjamin Ratliff1,3, Alan B McMillan1, Diego Hernando1,2, and Claude B Sirlin14

1Radiology, University of Wisconsin, Madison, WI, United States, 2Medical Physics, University of Wisconsin, Madison, WI, 3Biomedical Engineering, University of Wisconsin, Madison, WI, United States, 4Medicine, University of Wisconsin, Madison, WI, United States, 5Emergency Medicine, University of Wisconsin, Madison, WI, United States, 6Diagnostic Imaging, St. Jude Children’s Research Hospital, 7Pediatrics, University of California, San Diego, 8Pathology, University of Wisconsin, 9San Diego Super Computer Center, University of California, San Diego, 10Mathematics, University of California, San Diego, 11Surgery, Virginia Commonwealth University, Richmond, VA, United States, 12Surgery, University of Wisconsin, Madison, WI, 13Surgery, University of California, San Diego, San Diego, CA, United States, 14Radiology, University of California, San Diego

125
13:45
Hepatic MRI-PDFF is positively correlated with R2* across a range of fat spectral models
Cheng William Hong1, Adrija Mamidipalli1, Jonathan C Hooker1, Gavin Hamilton1, Tanya Wolfson2, Soudabeh Fazeli Dehkordy1, Michael S Middleton1, Scott B Reeder3, Rohit Loomba4, and Claude B Sirlin1

1Liver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, CA, United States, 2Computational and Applied Statistics Laboratory, University of California, San Diego, San Diego, CA, United States, 3Departments of Radiology, Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin, Madison, Madison, WI, United States, 4NAFLD Research Center, Division of Gastroenterology, Department of Medicine, University of California, San Diego, San Diego, CA, United States

126
13:45
Anatomical and functional deficits of the placenta identified by MRI in a rat model of preeclampsia
Emily Alexandria Waters1, Pamela Monahan2, Chad R Haney1, Michael Kevin Fritsch3, Thomas J Meade4, and Kelly E Mayo2

1Center for Advanced Molecular Imaging, Northwestern University, Evanston, IL, United States, 2Molecular Biosciences, Northwestern University, Evanston, IL, United States, 3Pathology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 4Chemistry, Molecular Biosciences, and Neurobiology, Northwestern University, Evanston, IL, United States


Power Pitch

Pitch: Highlights of Multiparametric Acquisition & Reconstruction

Power Pitch Theater B - Exhibition Hall Monday 13:45 - 14:45 Moderators: Martijn Cloos & Mariya Doneva (no CME credit)

127
13:45
Relaxation in Polar Coordinates: Analysis and Optimization of MR-Fingerprinting
Jakob Assländer1,2, Daniel K Sodickson1,2, Riccardo Lattanzi1,2, and Martijn A Cloos1,2

1Dept. of Radiology - Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, New York, NY, United States, 2Dept. of Radiology - Center for Advanced Imaging Innovation and Research, New York University School of Medicine, New York, NY, United States

128
13:45
Quantification of Flow by Magnetic Resonance Fingerprinting
Sebastian Flassbeck1, Simon Schmidt1, Mathies Breithaupt1,2, Peter Bachert1, Mark E. Ladd1, and Sebastian Schmitter1,3

1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Institute for Forensic Medicine and Traffic Medicine, Germany, 3Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany

129
13:45
Applications of Low Rank Modeling to Fast 3D Magnetic Resonance Fingerprinting (MRF)
Dan Ma1, Eric Y. Pierre2, Debra McGivney1, Bhairav Mehta1, Yong Chen1, Yun Jiang1, and Mark Griswold1

1Radiology, Case Western Reserve University, Cleveland, OH, United States, 2The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia

130
13:45
Magnetic Resonance Fingerprint Compression with Multiple Channel Transmission
Riccardo Lattanzi1,2, Bei Zhang1, Florian Knoll1, Jakob Assländer1, and Martijn Cloos1

1Radiology, Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, New York, NY, United States, 2Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY, United States

131
13:45
Intra-Voxel Spatial Resolution Using Magnetic Resonance Fingerprinting
Thomas Amthor1, Karsten Sommer1, Peter Koken1, Jakob Meineke1, and Mariya Doneva1

1Philips Research, Hamburg, Germany

132
13:45
Dictionary approach to partial volume estimation with MR Fingerprinting: Validation and application to brain tumor segmentation
Anagha Deshmane1, Debra McGivney2, Chaitra Badve3, Vikas Gulani2,3, and Mark Griswold2

1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Radiology, Case Western Reserve University, Cleveland, OH, United States, 3Radiology, University Hospitals, Cleveland, OH, United States

133
13:45
Mitigation of Spiral Undersampling Artifacts in Magnetic Resonance Fingerprinting (MRF) by Adapted Interleave Reordering
Josef Pfeuffer1, Argyrios Kechagias1, Craig H. Meyer2, Gregor Körzdörfer1, and Mathias Nittka1

1Application Development, Siemens Healthcare, Erlangen, Germany, 2Biomedical Engineering, University of Virginia, Charlottesville, VA, United States

134
13:45
Fat Signal Fraction Determination Using MR Fingerprinting
Jason Ostenson1,2 and E. Brian Welch1,3,4

1Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 2Program in Chemical and Physical Biology, Vanderbilt University, Nashville, TN, United States, 3Department of Radiology and Radiological Sciences, Vanderbilt University, 4Department of Biomedical Engineering, Vanderbilt University

135
13:45
Accelerated Magnetic Resonance Fingerprinting using Soft-weighted key-Hole (MRF-SOHO)
Gastao Cruz1, Andreia S. Gaspar1, Tom Bruijnen2, René Botnar1, and Claudia Prieto1

1Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 2Center for image sciences, University Medical Center Utrecht, Utrecht, Netherlands

136
13:45
Magnetic Resonance Fingerprinting - Evaluation of Brain Gliomas in Comparison to a Conventional Advanced Tumor Protocol - Preliminary Study
Siegfried Trattnig1,2, Wolfgang Bogner1, Bernhard Strasser1, Peter Bär1, Simone Kitzer1, Pavol Szomolanyi1, Matthias Nittka3, Wolfgang Marik4, Martin Zalaudek1, Markus Schreiner1, and Elisabeth Springer1

1Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, High Field MR Center, Vienna, Austria, 2Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, 3Siemens Healthineers, Erlangen, Germany, 4Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria

137
13:45
Joint estimation of arterial input function and tracer kinetic parameters from under-sampled DCE-MRI
Yi Guo1, Sajan Goud Lingala1, R Marc Lebel2, and Krishna S Nayak1

1Electrical Engineering, University of Southern California, Los Angeles, CA, United States, 2GE Healthcare, Calgary, AB, Canada

138
13:45
Highly accelerated DCE imaging with integrated T1 mapping
R Marc Lebel1,2,3, Yi Guo4, Sajan Goud Lingala4, RIchard Frayne2,3, and Krishna S Nayak4

1GE Healthcare, Calgary, AB, Canada, 2Radiology, University of Calgary, Calgary, AB, Canada, 3Seaman Family Centre, Calgary, AB, Canada, 4Electrical Engineering, University of Southern California, Los Angeles, CA, United States

139
13:45
Calibrationless Parallel Imaging in Multi Echo/Contrast Data
Berkin Bilgic1, Bo Zhao1, Itthi Chatnuntawech2, Lawrence L Wald1, and Kawin Setsompop1

1Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 2National Nanotechnology Center, Pathum Thani, Thailand

140
13:45
Accelerated Cardiac Diffusion Tensor Imaging Using a Joint Low-Rank and Sparsity Constraint
Sen Ma1,2, Christopher Nguyen1, Anthony Christodoulou1,3, Daniel Luthringer4, Jon Kobashigawa3, and Debiao Li1,2

1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 3Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 4Department of Pathology, Cedars-Sinai Medical Center, Los Angeles, CA, United States

141
13:45
An open-source hardware and software system for video-gated MRI
Nicolai Spicher1, Stephan Orzada2, Stefan Maderwald2, Markus Kukuk1, and Mark E Ladd2,3

1University of Applied Sciences and Arts Dortmund, Dortmund, Germany, 2Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany, 3Division of Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany


Oral

Cerebrovascular Disease: Intracranial & Extracranial

Room 310 Monday 13:45 - 15:45 Moderators: Ian Marshall & Danny Wang

142
13:45
4D Flow MRI for Assessment of Venous Pressure in Dural Arteriovenous Fistulas
Leonardo A Rivera Rivera1, Zachary Clark2, Kevin M Johnson1,2, Patrick Turski1,2, and Oliver Wieben1,2

1Dept. of Medical Physics, University of Wisconsin-Madison, MADISON, WI, United States, 2Dept. of Radiology, University of Wisconsin-Madison, Madison, WI, United States

Dural arteriovenous fistulas (DAVFs) are vascular malformations that can present aggressively. Venous hypertension is the pathophysiologic mechanism thought to be responsible for aggressive presentation. 4D flow MRI has demonstrated success generating pressure maps from velocity data in vessels. In this work we measure relative pressure in the dural sinuses in DAVFs patients using 4D flow MRI. Results support the hypothesis that DAVFs result in venous hypertension which may be the mechanism ultimately leading to aggressive presentation. 4D flow MRI allows blood flow directionality assessment along the dural sinuses, which helps to detect retrograde flow and classify the severity of DAVFs.

143
13:57
Enhanced detection of cerebral arterial system with USPIO-enhanced MRI
Yulin Ge1, Jean-Christophe Brisset2, Saifeng Liu3, and E. Mark Haacke3

1Radiology, New York University School of Medicine, New York, NY, United States, 2Radiology, New York University School of Medicine, 3Wayne State University

Although small arterial system plays a key role in delivering oxygen and glucose to brain tissue, the in vivo detection is still challenging. Using a low dose of ultra-small-superparamagnetic-iron-oxide (USPIO) contrast agent, it will induce susceptibility contrast in the arterial blood, which enhances the small arteries visibility on susceptibility weighted imaging. This study has demonstrated its feasibility in human brain. Such technique has potential to unveil underlyingmicrovascular abnormalities in neurovascular diseases that cannot be done in vivo with any other conventional method in use today.

144
14:09
T2-relaxation-under-spin-tagging (TRUST) and Arterial Spin Labeling MRI elucidate discrepant hemo-metabolic mechanisms underlying elevated oxygen extraction fraction (OEF) in moyamoya and sickle cell anemia (SCA) patients
Jennifer M Watchmaker1, Meher R Juttukonda1, Larry T Davis1, Allison O Scott1, Carlos C Faraco1, Melissa C Gindville2, Lori C Jordan2, Petrice M Cogswell1, Angela L Jefferson3, Howard S Kirshner4, and Manus J Donahue1,4,5

1Radiology & Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 2Department of Pediatrics, Division of Pediatric Neurology, Vanderbilt University Medical Center, 3Vanderbilt Memory & Alzheimer's Center, Vanderbilt University Medical Center, Nashville, TN, 4Department of Neurology, Vanderbilt University Medical Center, 5Department of Psychiatry, Vanderbilt University Medical Center

T2-relaxation-under-spin-tagging (TRUST-MRI) was performed in patients with intracranial stenosis due to moyamoya for determination of whole-brain oxygen extraction fraction (OEF). Elevated OEF was observed in this group compared to controls. In15O PET studies in individuals with intracranial stenosis, it has been shown that OEF increases regionally when cerebral blood volume (CBV) is inadequate to maintain cerebral blood flow (CBF) over a normal range, and importantly that regionally elevated OEF and CBV may be prognostic for recurrent stroke risk. This work has motivated the development and application of TRUST-MRI for use in patients with intracranial stenosis at risk for stroke. 

145
14:21
4D MR Angiography with Pseudo-Continuous Arterial Spin Labelling Combined with CENTRA-Keyhole (4D-PACK): Visualization of Distal Cerebral Arteries in Moyamoya Disease
Osamu Togao1, Akio Hiwatashi1, Makoto Obara2, Koji Yamashita1, Ryotaro Kamei1, and Hiroshi Honda1

1Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan, 2Philips Electronics Japan, Tokyo, Japan

In the present study, we demonstrated the clinical utility of 4D-MR angiography with pCASL combined with CENTRA-keyhole (4D-PACK) in Moyamoya disease by comparing with a well-established pulsed ASL-based 4D-MRA called contrast inherent inflow enhanced multi-phase angiography (CINEMA). 4D-PACK provided higher CNRs than CINEMA in distal MCA branches in later phases indicating that 4D-PACK enables better visualizations of distal cerebral arteries supplied by collaterals vessels during a long transit time. This could be due to higher flow signal obtained with pCASL and less saturation effect after labeling. 4D-PACK can be a non-invasive clinical tool in assessing hemodynamics in Moyamoya disease.

146
14:33
Probing the BOLD-CVR response to progressive hypercapnia in patients with uni-lateral carotid artery occlusions
Alex Bhogal1, Jeroen C.W. Siero1,2, Hans Hoogduin1, Peter R Luijten1, Jeroen Hendrikse3, and Jill B De Vis4

1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Spinoza Center for Neuroimaging, Amsterdam, Netherlands, 3Radiology, University Medical Center Utrecht, Netherlands, 4University Medical Center Utrecht, Netherlands

We examine the BOLD-CVR response to a progressively increasing vascular stimulus between individuals with carotid artery occlusions and healthy, age/gender-matched controls. Using this paradigm, we aim to understand finer-scale interactions between impaired versus healthy cerebral hemispheres at different vascular stimulus magnitudes.

147
14:45
Analysis of cerebrovascular watershed areas in patients with high-grade carotid artery stenosis using DSC-based time-to-peak maps
Vanessa Griese1, Stephan Kaczmarz1, Anne Kluge1,2, Kim van de Ven3, Michael Helle4, Hendrik Kooijman-Kurfuerst4, Claus Zimmer1, Christian Sorg 1,5, Jens Göttler1, and Christine Preibisch1,5,6

1Neuroradiology, Technical University of Munich, Munich, Germany, 2Radioonkology and Radiotherapy, Charité Berlin, Berlin, Germany, 3Philips Healthcare, Best, Netherlands, 4Philips Research, Hamburg, Germany, 5TUM Neuroimaging Center (TUM-NIC), Technical University of Munich, Munich, Germany, 6Neurology, Technical University of Munich, Munich, Germany

Internal carotid artery stenosis (ICAS) is one of the leading causes for thromboembolic and hemodynamic cerebral infarction. Here, we present data from an ongoing clinical MRI-study in patients with asymptomatic, high-grade ICAS and healthy controls. Our major aim was to establish a method to delineate individual watershed areas in patients and controls using MRI-based dynamic susceptibility contrast (DSC) time-to-peak (TTP) maps, also including the anatomical information of magnetic resonance angiography (MRA) to define individual vascular territories. Watershed areas were enlarged and shifted in many of the vascular territories of stenosed carotid arteries, being verified by ss-pCASL in a subgroup. 

148
14:57
Effective collateral circulation may related with better perfusion restoration after carotid endarterectomy (CEA): a pilot territory ASL (tASL) study
Tian-ye Lin1, Yue-lei Lv1, Zhi-chao Lai2, Hui You1, Bo Hou1, Bing Wu3, Jian-xun Qu3, Chang-wei Liu2, and Feng Feng1

1Radiology, Peking Union Medical College Hospital, Beijing, People's Republic of China, 2Vascular surgery, Peking Union Medical College Hospital, Beijing, People's Republic of China, 3GE Healthcare, MR Research China, Beijing, Beijing, People's Republic of China

Flow territories normalization was observed in patients underwent carotid endarterectomy (CEA). To investigate whether collateral flow associated with the redistribution of blood we performed 3D ASL and tASL on 25 patients prior to (PRE) and after (POST) surgery. Collateral flow was read as the presence of arterial transit artifact (ATA) on 3D ASL images. Alteration of flow territories was determined by comparing the PRE and POST tASL images. Our study demonstrated that good collateral compensation shown in ASL was associated with normalization of tASL flow territories after CEA.

149
15:09
One-sided hypoperfusion is associated with contralateral attention deficits in asymptomatic high-grade carotid stenosis patients.
Jens Goettler1, Stephan Kaczmarz1, Rachel Nuttall1, Vanessa Griese1, Hendrik Kooijman2, Michael Helle2, Kim van de Ven3, Claus Zimmer1, Kathrin Finke4, Christian Sorg1, and Christine Preibisch1

1Department of Neuroradiology, Technische Universität München, Munich, Germany, 2Philips Healthcare, Hamburg, Germany, 3Philips Healthcare, Best, Netherlands, 4Neuro-cognitive Psychology Unit, Department Psychologie, Ludwig-Maximillians-Universität, Munich, Germany

Patients with clinically asymptomatic, high-grade internal carotid artery stenosis (ICAS) often show cognitive impairments, such as memory dysfunction and attention deficits. However, it is still unclear whether these symptoms are caused by potentially reversible cerebral hypoperfusion or rather by a general unchangeable vascular damage. Here, 17 patients with one-sided high-grade, asymptomatic ICAS and 26 age-matched healthy controls underwent an MRI scan, including pCASL to assess brain perfusion, and a computer-based visual attention test. Patients show distinct unilateral cerebral hypoperfusion being significantly associated with contralateral attention deficits. Data indicate that chronic cerebral hypoperfusion in high-grade ICAS impairs cognitive function.  

150
15:21
Saccular intracranial aneurysm wall permeability and shear stress distribution: a further insight into rupture pathogenesis
Xian Liu1, Yu Chen1, Haikun Qi1, Peng Liu2, Yunduo Li1, Xiaole Wang1, Le He1, Qiang Zhang1, Zhensen Chen1, Rui Li1, Youxiang Li2, Chun Yuan3, and Huijun Chen1

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, People's Republic of China, 2Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China, 3Department of Radiology, University of Washington, Seattle, WA, United States

The purpose of this study is to explore the relationship between aneurysm wall permeability and the hemodynamic conditions of intracranial aneurysm (IA). The results showed that hot spot of IA wall permeability was spatially related with significantly lower wall shear stress magnitude and higher oscillatory shear index, which suggests the pathology of IA might be an interaction of both factors, and IA wall permeability could be a potential method for IA rupture risk assessment.

151
15:33
Investigation of zero TE ASL MRA in the follow-up after endovascular treatment of intracranial aneurysm at 1.5T
yan song 1, Peng Qi, Juan Huang, Sheng Jiao, Tan Guo, Min Chen, Daming Wang, Jing Zhang, Bing Wu, and Zhe lin Luo

1Beijing Hospital, Beijing, People's Republic of China

 It is necessary to follow up the intracranial aneurysms treated with coil or/and stent for recanalization or remnant. TOF MRA, though performed well, is susceptible to metallic artifact and flow artifact. ASL MRA with zero TE acquisition has potential advantages. The purpose of this study was to evaluate the performance of ASL MRA by comparing with TOF MRA, using DSA as gold standard. It was demonstrated that ASL MRA featured significantly better consistency with DSA for aneurysm remnant diagnosis and led to superior image quality in the presence of intra-stent lumen as compared to TOF at 1.5T.


Oral

Acquisition & Analysis of High Spatio-Temporal fMRI

Room 311 Monday 13:45 - 15:45 Moderators: Peter Koopmans & Andrew Stenger

152
13:45
Accelerated rank-constrained FMRI data reconstruction informed by external temporal measures
Mark Chiew1, Nadine N Graedel1, Jostein Holmgren2, Dean Fido1, Catherine E Warnaby1, and Karla L Miller1

1FMRIB Centre, University of Oxford, Oxford, United Kingdom, 2Institute of Psychology, University of Oslo

Reconstruction of highly under-sampled FMRI data using low-rank constraints can suffer from loss of fidelity at high acceleration factors, or when signals are relatively weak. We introduce a method for improving reconstruction fidelity using external constraints, i.e., informative signals that are not data-derived. We show that this improves FMRI reconstruction quality in a number of conditions, including detecting subtle latency shifts between brain regions, and improving resting state network characterization using simultaneously acquired EEG information. We further show that this approach works with noisy or approximate constraints, and the derived benefit is commensurate with the information content they provide.

153
13:57
Submillimeter 9.4 T fMRI of the human auditory cortex with tones, ripples, and real life sounds
Valentin G. Kemper1, Elia Formisano1, Sudhir Ramanna2, Essa Yacoub2, and Federico De Martino1,2

1Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands, 2Center for Magnetic Resonance Research, University of Minnesota, MN, United States

This study demonstrates auditory human fMRI conducted at 9.4T field strength and submillimeter resolution for the first time. Tonotopic maps were measured robustly and reliably. Further, cortical regions with preference for natural sound categories were delineated. We generated ripple control sounds that closely match low level acoustical properties of natural sounds in four natural sound categories, such that the original category is not recognizable. We show that, in areas preferring speech sounds over other natural sounds, ripple control sounds of speech elicit stronger responses than ripple control sounds of non-speech. This indicates tuning to the low-level acoustical properties of speech.

154
14:09
Ultra-high resolution blood volume fMRI and BOLD fMRI in humans at 9.4 T: Capabilities and Challenges
Laurentius Huber 1, Desmond H Y Tse2, Kashyap Sriranga2, Christopher Wiggins3, Kâmil Uludağ2, Peter A Bandettini1, Benedikt A Poser2, and Dimo Ivanov2

1SFIM, NIMH, Bethesda, MD, United States, 2MBIC, Maastricht University, Netherlands, 3Scannexus, Maastricht, Netherlands

FMRI at ultra-high field strengths of 9.4 T allows functional imaging with submillimeter spatial resolutions. CBV sensitive VASO-fMRI has been suggested to be weighted towards locally specific microvasculature changes close to neural activity changes. Hence, we sought to combine the high physiological specificity of CBV-fMRI with the high signal-to-noise ratio of 9.4 T imaging. In our experiments, we could identify and discuss numerous technical challenges of CBV-fMRI at 9.4 T regarding constraints of RF fields and VASO contrast generation. With the application of advanced imaging methods, we show promising functional results with clearly visible cortical depth-dependent activity patterns.

155
14:21
Revealing the high frequency brain networks with multiband multi-echo fMRI data
Wenchao Yang1, Burak Akin1, Fei Wang1, Jürgen Hennig1, and Pierre LeVan1

1Dept. of Radiology · Medical Physics, University Medical Center Freiburg, Freiburg, Germany

The high frequency networks are hard to be observed with standard fMRI data. Those networks were submerged in the non-BOLD signal and could not be observed with standard fMRI methods. In this work, Multiband Multi-echo (MBME) sequence is used to sample brain fluctuations in high frequency (TR=0.75).By using acquired 8 echoes, T2* and I0 (initial intensity) values are calculated and fluctuations in the brain were separated into BOLD and non-BOLD. Results showed that there is an improved detection in several high frequency networks like LECN, dDMN, Language and high Visual networks by using the separated BOLD signal. 

156
14:33
Empirical Mode Decomposition and Frequency Characteristics of the Default Mode Network on Group fMRI Resting-State Data
Dietmar Cordes1,2, Muhammad Kaleem3, Xiaowei Zhuang1, Karthik Sreenivasan1, Zhengshi Yang1, and Virendra Mishra1

1Cleveland Clinic Lou Ruvo Center for Brain Health, LAS VEGAS, NV, United States, 2University of Colorado Boulder, Boulder, CO, United States, 3University of Management & Technology, Lahore, Pakistan

In this project, high-frequency contributions to functional connectivity of the Default Mode Network (DMN) are studied. Rather than relying on user-defined frequency bands, Empirical Mode Decomposition (EMD) is used to decompose the natural occurring frequency bands of the DMN. The novelty of our approach lies in the data-adaptive and user-independent decomposition of fMRI data using EMD, and identification of a resting-state network based on the frequency characteristics of intrinsic modes in the data, instead of using wavelet- or windowed-Fourier-transform methods. Results are shown for multiband MB8 resting-state data of a group of 22 healthy subjects.

157
14:45
An in vivo study of BOLD laminar responses as a function of echo time and magnetic field
Irati Markuerkiaga1, Lauren J Bains1, Jose P Marques1, and David G Norris1,2

1Donders Centre for Cognitive Neuroimaging, Nijmegen, Netherlands, 2Erwin L. Hahn Institute for Magnetic Resonance Imaging, Essen, Germany

In this study we evaluate the echo time of laminar BOLD responses of the human primary visual cortex at 1.5 and 7T. It is often assumed that lower magnetic field strengths are increasingly biased towards the signal arising from larger veins located towards the pial surface. In this study (performed with an isotropic resolution of 0.75mm) we found similar shaped laminar profiles at 1.5 and 7T.

158
14:57
Frequency signature of cortical laminar fMRI
Maria Guidi1, Irati Markuerkiaga2, Lauren Bains2, Laurentius Huber3, Harald E. Möller1, and David G. Norris2

1Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Donders Centre for Cognitive Neuroimaging, Nijmegen, Netherlands, 3NIMH, Bethesda, MD, United States

The nature of spontaneous oscillations in the blood oxygenation level dependent (BOLD) response is in the focus of current research. For resting-state network studies, the low-frequency band (0.01-0.1 Hz) is usually taken to be relevant for neuronal activity. However, this statement is based on low-resolution functional data, where the effect of the draining vasculature cannot always be characterized. This study investigates the distribution of the amplitude of resting-state BOLD fluctuations using a sub-millimeter resolution and shows that the low-frequency band is dominating at all cortical depths, but most of its power is located at the pial surface.

159
15:09
Topographic Mapping of Resting State fMRI Data
Eleanor Barratt1, Michael Asghar1, Matthew Brookes1, and Susan Francis1

1School of Physics, University of Nottingham, Nottingham, United Kingdom

Task-based fMRI can provide robust somatotopic mapping of digits of the hand. Resting state fMRI (rs-fMRI) provides the ability to parcellate brain areas based on their connectivity. Here, we use simultaneous multislice to acquire high spatial resolution fMRI resting state data with a short TR to determine whether we can topographically map connectivity within the sensorimotor cortex.  Seed based locations of the index finger (Digit 2) and little finger (Digit 5) are defined from somatotopic travelling wave and finger tapping tasks, and used to demonstrate significant topographic mapping in rs-fMRI data.  

160
15:21
Tonotopic mapping in the in vivo mouse via high resolution fMRI
Guilherme Blazquez Freches1, Cristina Chavarrias1, and Noam Shemesh1

1Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal

The rodent auditory system has been a popular research subject for electrophysiological studies for its complexity, fine tuning and adaptability. More recently, some studies on auditory Functional Magnetic Resonance Imaging (fMRI) in rats have surfaced, aiming to unravel this system’s intricacies by capturing whole brain activity noninvasively. Auditory mapping in the mouse could be highly valuable given its importance vis-à-vis transgenic models and optogenetics. This study provides the first tonotopic mapping in the in vivo mouse via high resolution fMRI. We demonstrate robust activation in the auditory pathway, and specific tonotopy in several prominent regions along the pathway.  

161
15:33
MB-SWIFT functional MRI during deep brain stimulation in rats
Lauri Juhani Lehto1, Djaudat Idiyatullin1, Jinjin Zhang1, Lynn Utecht1, Gregor Adriany1, Michael Garwood1, Olli Gröhn1,2, Shalom Michaeli1, and Silvia Mangia1

1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 2A. I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, Kuopio, Finland

Commercial electrodes used for Deep Brain Stimulation (DBS) cause severe artefacts in conventional echo based MRI. Here we show near artefact free functional MRI during DBS in rats using Multi-Band SWeep Imaging with Fourier Transformation (MB-SWIFT) which allows acquisition at virtually zero-TE. MB-SWIFT showed strong responses in the somatosensory cortex while stimulating the ventromedial. The amplitude and extent of activation recorded with MB-SWIFT were similar with SE-EPI, although activation was flip angle dependent reflecting the possible influence of blood inflow. MB-SWIFT is a promising modality for fMRI in the presence of DBS leads or other severe susceptibility differences.


Oral

Hyperpolarized 13C Magnetic Resonance Imaging & Spectroscopy

Room 312 Monday 13:45 - 15:45 Moderators: Angus Lau & Rolf Schulte

162
13:45
Chemical Shift Imaging of pH with Hyperpolarized [2-13C,D10] Diethylmalonic Acid
David Korenchan1,2, Celine Taglang1, Cornelius von Morze1, Joseph Blecha1, Jeremy Gordon1, Peder Larson1,2, Henry VanBrocklin1, John Kurhanewicz1,2, David Wilson1, and Robert Flavell1

1Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Bioengineering, University of California, Berkeley, Berkeley, CA, United States

Imaging tumoral pH may aid in characterizing aggressiveness, metastasis, and therapeutic response. The study of hyperpolarized (HP) 13C chemical shift-based probes addresses some of the limitations of previously reported ratiometric methods, including HP 13C bicarbonate. We report the development of HP [2-13C,D10] diethylmalonic acid as a pH imaging agent, which exhibits a significant 13C chemical shift difference over the physiologic pH range. We demonstrate that this compound can be copolarized with tert-butanol to accurately measure pH in phantom studies. Furthermore, this HP compound showed high in vivo SNR in a murine model of prostate cancer.

163
13:57
Long-lasting, liquid-state 13C hyperpolarization > 20 % generated in an MRI system within seconds enables fast 13C imaging
Andreas Benjamin Schmidt1, Stephan Berner1, Waldemar Schimpf1, Christoph Müller1, Thomas Lickert2, Niels Schwaderlapp1, Stephan Knecht1, Jason Skinner1, Anna Dost1, Philipp Rovedo1, Jürgen Hennig1, Dominik von Elverfeldt1, and Jan-Bernd Hövener1,3

1University Medical Center Freiburg, Freiburg, Germany, 2Fraunhofer Institute for Solar Energy Systems (ISE), Freiburg, Germany, 3German Consortium for Cancer Research (DKTK), Heidelberg, Germany

Current methods for the production of hyperpolarized 13C-tracers require a dedicated, complex and costly polarizer device. Here we present, for the first time, 13C-hyperpolarization >20% and ex-vivo 13C-MRI without an external polarizer, but by using the hardware of an MRI system instead: a simple, low-cost (≈1000€) setup was built and high-field spin-order-transfer sequences were exploited to transfer the spin-order of parahydrogen to 13C;the implementation on any multinuclear MRI system appears feasible. The tracer is produced near the application site and subsequent 13C-MRI is possible without transfer of the sample, at a fraction of the cost and complexity of external polarizers.

164
14:09
Hyperpolarized Nuclear Spin Singlets. Opportunities for Polarization Storage. What Limits Their Lifetimes?
Alexej Jerschow1, Yuning Zhang1, Xueyou Duan1, Vladimir Sychrovsky2, and James Canary1

1New York University, New York, NY, United States, 2Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Prague, Czech Republic

Hyperpolarization techniques have offered the prospect of higher sensitivity and fast imaging, as well as tracking of metabolism in real-time. Nuclear spin singlet states allow the storage of polarization for an extended period of time. Here we present results on the limiting factors for nuclear singlet state lifetimes, and methods by which they can be determined in organic molecules, which is important for designing appropriate contrast agents, or hyperpolarization techniques that track metabolites.

165
14:21
Metabolic imaging of neuroinflammation in the cuprizone mouse model for Multiple Sclerosis using hyperpolarized [1-13C] pyruvate
Caroline Guglielmetti1,2,3, Chloe Najac2, Annemie Van der Linden3, Sabrina Ronen2,4, and Myriam Chaumeil1,2

1Department of Physical Therapy and Rehabilitation Science, University of California San Francisco, San Francisco, CA, United States, 2Surbeck Laboratory of Advanced Imaging, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 3Bio-Imaging Lab, Department Pharmaceutical, Veterinary and Biomedical Sciences, University of Antwerp, Antwerp, Belgium, 4Surbeck Laboratory of Advanced Imaging, Department of Radiology and Biomedical Imaging, San Francisco, CA, United States

Our study demonstrates that metabolic imaging of hyperpolarized [1-13C] pyruvate can detect increased hyperpolarized lactate production in vivo in highly inflammatory white matter lesions in a preclinical model of Multiple Sclerosis. Increased lactate production was associated with the presence of pro-inflammatory macrophages upregulating pyruvate dehydrogenase kinase 1, as well as regional inhibition of pyruvate dehydrogenase, providing a likely mechanism for a decrease subsequent flux of pyruvate towards the Krebs cycle. Our study demonstrates that metabolic imaging of hyperpolarized [1-13C] pyruvate has high potential for in-vivo detection and monitoring of neuroinflammation levels during demyelination and remyelination.

166
14:33
Effects of 3-MPA on in vivo hepatic metabolism of hyperpolarized [1-13C] pyruvate
Emine Can1, Hikari A.I. Yoshihara1,2, Jessica A.M. Bastiaansen1,2, Rolf Gruetter3,4, and Arnaud Comment1

1Institute of Physics, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2Division of Cardiology, University Hospital Lausanne (CHUV), Lausanne, Switzerland, 3Laboratory for Functional and Metabolic Imaging, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 4Department of Radiology, University of Lausanne (UNIL), Lausanne, Switzerland

Ex vivo and in vivo studies on liver metabolism using hyperpolarized [1-13C]pyruvate report do not agree on whether hyperpolarized bicarbonate metabolite production results from pyruvate oxidation or gluconeogenesis. This study tested the ability of hyperpolarized [1-13C]pyruvate to probe gluconeogenesis in the liver of intact rats. While conversion to hyperpolarized bicarbonate was detected in the liver of fasted rats, treatment with the phosphoenolpyruvate carboxykinase inhibitor 3-mercaptopicolinc acid resulted in 7-fold lower levels. This result supports the notion that hepatic gluconeogenic metabolism can indeed be directly probed in vivo with hyperpolarized pyruvate.

167
14:45
[2-13C]dihydroxyacetone as a real-time, in vivo sensor of acute hepatic and renal metabolic response after a fructose and glucose challenge
Irene Marco-Rius1, Cornelius Von Morze1, Renuka Sriram1, Peng Cao1, Gene-Yuan Chang2, Eugene Milshteyn1, Robert A. Bok1, Michael A. Ohliger1, David Pearce2, John Kurhanewicz1, Peder E. Z. Larson1, Dan B. Vigneron1, and Matthew Merritt3

1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Department of Medicine, Division of Nephrology, University of California San Francisco, San Francisco, CA, United States, 3Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL, United States

Hyperpolarized [2-13C]dihydroxyacetone was used to investigate the hepatic and renal metabolic response to acute intravenous administration of glucose or fructose in rats in vivo. 13C-MR spectra were acquired before, 10 minutes and 80 minutes after the carbohydrate solution delivery. Changes in the metabolic products phosphoenolpyruvate (PEP) and glycerol 3-phosphate (G3P) were detected after fructose injection, while no metabolic perturbation was detected after the glucose injection. The observed effects possibly include ATP depletion and changes in the unlabelled pool sizes of glycolytic intermediates.

168
14:57
Hyperpolarized 13C Magnetic Resonance Evaluation of Renal Ischemia Reperfusion Injury in a Murine Model
Celine Baligand1, Hecong Qin2, Aisha True-Yasaki2, Jeremy W. Gordon2, Cornelius VonMorze2, Justin DeLos Santos2, Joy P. Walker3, David M. Wilson2, Robert L. Raffai3, John Kurhanewicz2, David H. Lovett4, and Zhen J. Wang2

1Department of Radiology, Leiden University Medical Center, C.J. Gorter Center for High-field MRI, Leiden, Netherlands, 2Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 3Department of Surgery, University of California San Francisco, San Francisco, CA, United States, 4Department of Medicine, University of California San Francisco, San Francisco, CA, United States

Persistent oxidative stress and mitochondrial dysfunction have been implicated across diverse forms of acute kidney injury and in the transition to chronic kidney disease. We show that HP 13C metabolic MR can be used to noninvasively assess the altered renal redox capacity and mitochondrial PDH activity following ischemic reperfusion injury. Such an imaging approach can potentially enhance the prediction and monitoring of progressive kidney injury.

169
15:09
Towards Quantitative Cardiac First-Pass Perfusion Imaging using Hyperpolarized [13]-Urea
Maximilian Fuetterer1, Julia Busch1, Sophie M. Peereboom1, Lukas Wissmann1, Constantin von Deuster1, Nikola Cesarovic2, Miriam Lipiski2, Christian T. Stoeck1, and Sebastian Kozerke1

1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland, 2Division of Surgical Research, University Hospital Zurich, Zurich, Switzerland

Hyperpolarized [13C] urea perfusion imaging using velocity-selective excitation is qualitatively and semi-quantitatively compared with clinically used [1H] Gadolinium first-pass perfusion imaging in healthy pigs. Higher contrast-to-noise ratios and comparable sensitivity for semi-quantitative perfusion measures over myocardial sectors can be achieved with [13C] urea. Arterial input sampling in the ascending aorta using a second imaging slice with conventional excitation is proposed. Feasibility of accurate absolute myocardial blood flow quantification using [13C] urea is demonstrated. 

170
15:21
Measurement of metabolic changes in acute doxorubicin-induced cardiotoxicity in mice using hyperpolarized [1-13C]pyruvate
David Martin1, Hikari AI Yoshihara1,2, Emine Can2, Roger Hullin1, and Jessica AM Bastiaansen3

1Division of Cardiology, University Hospital Lausanne (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2Institute of Physics, Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland, 3Department of Radiology, Hospital Lausanne (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland

Chemotherapy cocktails containing doxorubicin produce irreversible cardiotoxic side effects that may progress to heart failure, which can only be avoided through dose limitation of the chemotherapeutic agents. Increasing evidence suggest that cardiac dysfunction caused by doxorubicin is triggered by an energetic deficit and alterations in mitochondrial metabolism. We quantified metabolic changes in vivo in a mouse model of acute doxorubicin-induced cardiotoxicity using hyperpolarized 13C MRS.

171
15:33
Imaging c-Myc: Identification of metabolic phenotypes using MRSI of hyperpolarised [1-13C]pyruvate to [1-13C]lactate flux in glioblastoma patient-derived orthotopic xenografts.
Richard Mair1,2, Alan Wright1, Colin Watts2, and Kevin Brindle1

1CRUK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom, 2Division of Neurosurgery, Cambridge University Hospitals NHS Trust, Cambridge, United Kingdom

Heterogeneity at both a genomic and phenotypic level is extant within glioblastoma.  We hypothesised that imaging of the flux from hyperpolarised [1-13C]pyruvate to [1-13C]lactate may inform upon this heterogeneity. We used patient derived orthotopic xenograft cohorts to identify differential lactate labelling and have related this to both glycolytic enzyme and c-Myc expression.


Oral

Diffusion Acquisition & Reconstruction

Room 313A Monday 13:45 - 15:45 Moderators: Berkin Bilgic & Stefan Skare

172
13:45
Diffusion Weighted Imaging using a Dixon based Single Shot Turbo Spin Echo
Xinzeng Wang1, Holger Eggers2, Marco C. Pinho1,3, Ivan Pedrosa1,3, Robert E. Lenkinski1,3, and Ananth J. Madhuranthakam1,3

1Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 2Philips Research, Hamburg, Germany, 3Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States

Diffusion weighted imaging using single-shot turbo spin-echo (DWI-SShTSE) is increasingly used due to its robustness to geometric distortions, but often suffers from incomplete fat suppression at 3T using spectrally-selective fat suppression methods (SPIR/SPAIR etc.) in challenging areas with large field inhomogeneities. STIR can improve the fat suppression but at the expense of reduced SNR. In this work, we developed a multi-echo Dixon DWI-SShTSE sequence with shared field map between lower and higher b-values for uniform fat suppression without using image navigator and increasing scan times. We also demonstrated its robustness to the phase variations due to diffusion gradients.

173
13:57
Kt-dSTEAM: high resolution diffusion-weighted imaging of the ex vivo human brain using B1+ homogenized STEAM at 9.4T
Francisco J. Fritz1, Desmond H Y Tse1, Shubarthi Sengupta1, Tim K. Loderhose1, Bram Kraaijeveld1, Svenja Caspers2, Benedikt A. Poser1, and Alard Roebroeck1

1Cognitive Neuroscience Department, Maastricht University, Maastricht, Netherlands, 2Institut für Neurowissenschaften und Medizin (INM-1), Forschungszentrum Jülich, Jülich, Germany

The investigation of entire human brains post mortem with diffusion MRI is an important research tool. However, the achievable resolutions and contrast are limited by gradient performance, RF-field inhomogeneity and strongly reduced T2 and diffusivity.  Here, a diffusion-weighted STEAM sequence was modified to enable the use of kT-points B1+ homogenization and 3D segmented EPI readout. The resulting kT-dSTEAM sequence allows for high resolution (1000μm, 500μm and 400μm isotropic) diffusion-weighted imaging the entire human brain with homogenous contrast at 9.4T.

174
14:09
High resolution whole brain diffusion MRI at 7 Tesla using RF parallel transmission
Xiaoping Wu1, Edward J. Auerbach1, An T. Vu2, Steen Moeller1, Christophe Lenglet1, Sebastian Schmitter1,3, Pierre-Francois Van de Moortele1, Essa Yacoub1, and Kamil Ugurbil1

1Radiology, Medical School, University of Minnesota, Minneapolis, MN, United States, 2Center for Imaging of Neurodegenerative Diseases, VA Healthcare System, San Francisco, CA, United States, 3Physikalisch-Technische Bundesanstalt, Berlin, Germany

A major component of the Human Connectome Project (HCP) in the WU-Minn consortium is multiband (MB)-accelerated whole-brain diffusion MRI (dMRI) at both 3T and 7T. Although having some advantages over 3T dMRI in inferring connectivity, the 7T acquisition suffers from RF nonuniformity and is limited to MB2 acceleration because of SAR. Here, we demonstrate the utility of RF parallel transmission (pTx) for 7T HCP-type dMRI with ~1-mm isotropic resolution. Our results demonstrate that pTx can significantly improve RF uniformity across the entire brain and enable higher slice acceleration relative to single transmit configurations, thereby holding great potential for acquiring high quality, high resolution and high efficiency dMRI data.

175
14:21
Fast high-resolution diffusion MRI using gSlider-SMS, interlaced subsampling, and SNR-enhancing joint reconstruction
Justin P. Haldar1 and Kawin Setsompop2

1Electrical Engineering, University of Southern California, Los Angeles, CA, United States, 2A. A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States

We describe a new approach that enables in vivo whole brain diffusion MRI with simultaneously high spatial resolution (660 µm isotropic voxels) and high angular diffusion encoding resolution (64 orientations at b=1500 s/mm2 and 4 b=0 s/mm2 images) in only 15 minutes.  This is achieved by combining the gSlider-SMS acquisition strategy with constrained image reconstruction techniques that enable denoising (exploiting the fact that the diffusion images are smooth with correlated edge locations) and interlaced data subsampling (achieved by exploiting the same correlated edge constraints used for denoising, as well as through the use of q-space smoothness constraints).  

176
14:33
Faster Diffusion-Relaxation Correlation Spectroscopic Imaging (DR-CSI) using Optimized Experiment Design
Daeun Kim1 and Justin P. Haldar1

1Electrical Engineering, University of Southern California, Los Angeles, CA, United States

We propose a new experiment design method to accelerate the recent novel diffusion-relaxation correlation spectroscopic imaging (DR-CSI) experiment.  DR-CSI acquires imaging data across a range of different b-value and echo time combinations.  This enables new insights into tissue microstructure, but the contrast encoding can be slow.  Our experiment design approach selects a small subset of the most informative observations to acquire using results from estimation theory.  We demonstrate with ex vivo mouse spinal cord MR data that the new experiment design approach enables DR-CSI to be accelerated by a factor of more than 2 without a substantial loss in quality. 

177
14:45
Accelerated k-q diffusion MRI reconstruction using Gaussian processes
Wenchuan Wu1, Peter J Koopmans2, Jesper Andersson2, and Karla L Miller2

1FMRIB, University of Oxford, Oxford, United Kingdom, 2FMRIB, University of Oxford

Diffusion MRI commonly acquires multiple diffusion volumes (directions), which shares plentiful common features. In this work, we propose integrating Gaussian Processes into image reconstruction to utilize the shared information between diffusion volumes to reduce image artefacts associated with parallel imaging.


178
14:57
3D Multi-Band, Multi-Slab, and Multi-Shot High-Resolution Diffusion MRI
Iain P Bruce1, Hing-Chiu Chang2, Nan-Kuei Chen1,3, and Allen W Song1

1Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, United States, 2Department of Diagnostic Radiology, University of Hong Kong, 3Biomedical Engineering, University of Arizona, Tuscan, AZ, United States

When diffusion MRI data is acquired with 3D multi-slab and/or multi-shot imaging techniques, scan times are often lengthy and phase variations between the acquired shots and/or slice-encoding planes of 3D slabs introduce severe motion artifacts in slice images. To accelerate the acquisition of high spatial resolution diffusion MRI volumes with high SNR and fidelity, we outline a 3D image reconstruction model that simultaneously accounts for both in-plane and through-plane motion artifacts in 3D multi-band, multi-slab and multi-shot diffusion data. Diffusion data acquired and reconstructed in this fashion can be acquired at sub-millimeter spatial resolution with high SNR in ~1-2min.

179
15:09
Improving angular resolution in multi-shot turbo spin-echo diffusion imaging using rotating single-shot acquisition (RoSA)
Qiuting Wen1, Mark Graham2, Ivana Drobnjak2, Hui Zhang2, and Yu-Chien Wu1

1Indiana University, Indianapolis, IN, United States, 2University of College London

The rotating single-shot acquisition (RoSA) technique is proposed to accelerate multi-shot diffusion imaging acquisitions by acquiring one shot per diffusion direction. The RoSA approach utilizes similarity existing in diffusion-weighted contrast for image reconstruction. It has been successfully implemented with echo planar imaging (EPI). In this study, we use the RoSA approach to improve turbo spin-echo (TSE) based multi-shot sequences. In particular, we will demonstrate that with the same acquisition time, RoSA increases the diffusion angular sampling resolution by 3-fold compared to a Turboprop sequence.  

180
15:21
Combination of integrated dynamic shimming and readout-segmented echo planar imaging for diffusion-weighted MRI of the head and neck region at 3 Tesla.
Sven Stephan Walter1, Alto Stemmer2, Berthold Kiefer2, Konstantin Nikolaou1, Petros Martirosian3, Mike Notohamiprodjo1, and Sergios Gatidis1

1Department of Radiology, University Hospital Tuebingen, Tuebingen, Germany, 2Siemens Healthineers, Erlangen, Germany, 3Department of Experimental Radiology, University Hospital Tuebingen, Tuebingen, Germany

The purpose of this study was to evaluate possible improvements in EPI-based DWI of the head/neck at 3 Tesla using a combination of readout-segmented EPI and dynamic shimming. We assessed ADC quantification in an anthropomorphic phantom and evaluated the presence of geometric distortions, signal losses, ghosting artifacts, and overall image quality in both, phantom and in-vivo data from 10 volunteers. We found that combining integrated shimming with readout-segmented EPI significantly improves images quality of EPI based DWI of the head/neck at 3 Tesla compared to the single techniques alone or conventional single-shot EPI.

181
15:33
Reduced Distortion in Diffusion Tensor MRI with Eddy Current Nulled Convex Optimized Diffusion Encoding (EN-CODE)
Eric Aliotta1,2, Kevin Moulin1, and Daniel B. Ennis1,2

1Department of Radiological Sciences, University of California, Los Angeles, CA, United States, 2Biomedical Physics IDP, University of California, Los Angeles, CA, United States

Eddy currents distort images and confound diffusion tensor reconstruction. In this work, convex optimized diffusion encoding (CODE) was extended to include an eddy current nulling term (EN-CODE) to achieve minimum TE diffusion tensor imaging (DTI) without eddy current distortions. EN-CODE was evaluated in simulations and through imaging in phantoms and healthy subjects. EN-CODE achieves distortion reduction on par with the existing twice refocused spin echo (TRSE) technique with a substantially shorter TE. 


Oral

Neuro Morphometry & Quantitative Analysis

Room 313BC Monday 13:45 - 15:45 Moderators: Konstantinos Arfanakis & Elizabeth Meyerand

182
13:45
Quality Assurance of Neuro-MRI within Multicenter Clinical Trials
Preethi Subramanian1, David P Poon1, Shivangi N Vora1, Sydney A Cearlock1, Xiangyu Yang1, Jun Zhang1, and Michael V Knopp1

1Wright Center of Innovation in Biomedical Imaging, The Ohio State University, Columbus, OH, United States

Volumetric analysis and quantification especially of dynamic MR sequences is increasingly invaluable for assessing treatment response and time to progression in the majority of clinical trials focusing on neuro-oncology. These innovative therapeutic trials rely heavily on consistent image acquisitions even in multi-center Phase 2/3 trials. We have developed a highly structured DICOM tag based, parameter driven, semi-automated QC approach that readily enables visualization of acquisition inconsistencies using a heat-mapping spectrum. As the imaging core laboratory for several NCI-NCTN clinical trials, we expanded the QC methodology to also enable constructive feedback education / training to help improve the quality of Neuro-MRI submissions.

183
13:57
Brain MR image intensity normalization in the presence of pathology
Hugo J Kuijf1, Mariëlle JA Jansen1, Mirjam I Geerlings2, and Max A Viergever1

1Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands, 2Department of Epidemiology, University Medical Center Utrecht, Utrecht, Netherlands

Brain MR image intensities do not have a fixed tissue-specific value. Especially in longitudinal studies, where a subjects’ anatomy might change, pathology can arise, scanner software and hardware may be replaced, the resulting image intensities can differ widely. This thwarts subsequent post-processing or image analysis. Various image intensity normalization techniques exist, but are often evaluated on healthy subjects. In this work, we evaluate six normalization techniques on 25 image-pairs (five year interval) of subjects with brain pathology. Traditional methods (e.g. Gaussian and Z-Score) are clearly affected by the presence of pathology and perform less than more recent techniques.

184
14:09
Novel Design of a 3D-Printed Anthropomorphic Brain Phantom for Segmentation Validation in Magnetic Resonance Imaging
Anna Altermatt1,2, Francesco Santini1,3, Xeni Deligianni1,3, Stefano Magon2,4, Philippe Cattin1, Jens Wuerfel1,2, and Laura Gaetano2,4

1Department of Biomedical Engineering, University Basel, Basel, Switzerland, 2Medical Image Analysis Center (MIAC) AG, Basel, Switzerland, 3Department of Radiology, University Hospital Basel, Basel, Switzerland, 4Department of Neurology, University Hospital Basel, Basel, Switzerland

Precise brain phantoms are important for evaluating the quality of segmentation tools for brain MRI. Here we suggested the construction of a 3D physical brain phantom as gold standard to validate the performance of those tools. Folding patterns of grey and white matter compartments were replicated using 3D-printed models from a real structural brain scan. T1 and T2 intensities of these brain regions in a 3 Tesla MRI were mimicked by a 0.6% agar mixture containing the appropriate concentrations of the paramagnetic compounds Ferumoxide and Manganese chloride. With its 3D-printed brain-like design, the phantom showed to be a promising alternative to existing methods for MRI segmentation validation.

185
14:21
Traffic-Related Air Pollution Associated with Reduced Cortical Thickness and Altered White Matter Organization in a Longitudinally Studied, Pediatric Cohort
Kim M Cecil1, Travis Beckwith1, Mekibib Altaye2, Rachel Severs2, Christopher Wolfe2, Zana Percy3, Thomas Maloney1, Kimberly Yolton2, Grace LeMasters3, and Patrick Ryan2

1Radiology/Imaging Research Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 3University of Cincinnati College of Medicine, Cincinnati, OH, United States

Traffic-related air pollution (TRAP) is strongly associated with adverse cardiopulmonary health effects. Evidence suggests the developing brain may also be a target organ for particulate matter due to translocation either from the respiratory system or through the olfactory nerve. Using a pediatric cohort, we tested the hypothesis that exposure to TRAP during critical windows of brain development is significantly associated with changes in brain structure and organization. Children with high exposure levels at time of birth were associated with reductions in brain volume, cortical thickness, and diffusion abnormalities in white matter at 12 years compared with children at low exposure.

186
14:33
Investigating structural brain change with heart failure using voxel-based morphometry
Karsten Mueller1, Friederike Thiel1, Andrej Teren2,3, Frank Beutner2,3, Stefan Frisch4, Joachim Thiery3,5, Harald E. Möller1, Arno Villringer1,3,6, and Matthias L. Schroeter1,3,6

1Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Herzzentrum Leipzig, Leipzig, Germany, 3Leipzig Research Center for Civilization Diseases (LIFE), Leipzig, Germany, 4Department of Neurology, Center of Neurology and Neurosurgery, University Hospital Frankfurt, Frankfurt, Germany, 5Institute of Laboratory Medicine, University Hospital Leipzig, Leipzig, Germany, 6Clinic for Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany

Heart failure is a multifactorial disease including a reduced pump efficiency leading to an insufficient oxygen supply for all body organs. However, the consequence of heart failure to brain structure is an important issue that needs further investigation. We used structural MRI with voxel-based morphometry to investigate a relationship between gray matter density and heart failure using ejection fraction and N-terminal prohormone of brain natriuretic peptide as markers for disease severity. These markers were found to be associated with decreased gray matter density in orbitofrontal and hippocampal brain regions indicating local gray matter abnormalities in these regions with heart failure.

187
14:45
PAM50: Multimodal template of the brainstem and spinal cord compatible with the ICBM152 space
Benjamin De Leener1, Vladimir Fonov2, D. Louis Collins2, Virginie Callot3,4, Nikola Stikov1,5, and Julien Cohen-Adad1,6

1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 2Montreal Neurological Institute, McGill University, Montreal, QC, Canada, 3Aix-Marseille Univ, CNRS, CRMBM UMR 7339, Marseille, France, 4CEMEREM, Hopital de la Timone, Pôle d’imagerie médicale, AP-HM, Marseille, France, 5Montreal Heart Institute, Montreal, QC, Canada, 6Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada

Template-based analysis of multi-parametric MRI data of the spinal cord sets the foundation for multi-center studies with minimum bias, thereby helping the discovery of new biomarkers of spinal-related diseases. In this study, we introduce a spinal cord MRI template, the PAM50, which is anatomically compatible with the ICBM152 brain template and uses the same coordinate system. The fusion of the PAM50 and ICBM152 templates facilitates group studies and multi-center studies of combined brain and spinal cord MRI and also allows the use of existing atlases of the brainstem compatible with the ICBM template.

188
14:57
Consistency of Inter-Database Cortical Thinning with Age
M. Ethan MacDonald1, Rebecca J. Williams1, Nils D Forkert1, Avery J.L. Berman1,2, Cheryl M McCreary1,3, Richard Frayne1,3, and Bruce Pike1

1Departments of Radiology and Clinical Neurosciences, University of Calgary, Calgary, AB, Canada, 2Department of Biomedical Engineering, McGill University, Montreal, QC, Canada, 3Seaman Family MR Research Centre, Foothills Medical Centre, AB, Canada

This work investigates cerebral cortical thinning as a function of age, and how this relationship varies between four healthy subject databases, with a consolidated 1,382 subjects. Cortical thickness measurements of each subject were computed for 68 regions. Linear regression was used to determine the thinning rate for each region in each database as well as for the consolidated database. ANCOVA tests were run to test the effect of database. Correlation matrices were used to test the intra-relationship of locations between databases. Statistically significant correlations were found with age and differences were found between databases in all regions. 

189
15:09
A test-retest analysis of brain volume measurement techniques
Hugo J Kuijf1, Geert Jan Biessels2, Max A Viergever1, and Jaco JM Zwanenburg3

1Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands, 2Department of Neurology, University Medical Center Utrecht, Utrecht, Netherlands, 3Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands

Brain volume measurements should both be accurate and precise. Accuracy of brain segmentation techniques is well studied. With the availability of test-retest datasets, precision (low coefficient of variation (COV)) can be investigated. In this work, we studied the COV of the FSL, SPM, and CAT12 software packages on 120 3T brain MR images of three subjects (40 images each) and compare it to previous results of FreeSurfer on this dataset. CAT12 performs best on total gray matter, white matter, and brain volume; whereas FSL has the lowest COV for CSF. COV values should be considered when studying brain volume change.

190
15:21
Altered grey matter volume in patients with type 2 diabetes mellitus
Jia Liu1, Taiyuan Liu2, Wenhui Wang2, Lun Ma2, Xiaoyue Ma2, Shaojie Shi2, and Meiyun Wang2

1Department of Radiology, Union Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China, 2Department of Radiology, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, Zhengzhou, People's Republic of China

Our meta-analysis indicates that patients with T2DM have significantly and robustly reduced grey matter, mainly in the cortical-striatal-limbic networks. The meta-regression results suggest that T2DM patients with longer illness duration may have smaller grey matter volume in the right MTG. Our finding supports the notion that T2DM could lead to subtle diabetic brain structural changes, which may be correlated with cognitive impairment inT2DM patients. 

191
15:33
Volumetric T2-weighted and FLAIR Imaging of Spine with Uniform Fat Suppression in a Single Acquisition
Xinzeng Wang1, Joshua S. Greer1,2, Marco C. Pinho1,3, Robert E. Lenkinski1,3, and Ananth J. Madhuranthakam1,3

1Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 2Bioengineering, UT Dallas, Dallas, TX, United States, 3Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States

2D T2-weighted turbo spin-echo (T2w-TSE), fluid attenuated inversion recovery (FLAIR) with and without fat suppression are widely used in the clinical brain and spine protocols to improve diagnosis. However, FLAIR suffers from low SNR and long scan times. In this work, we developed a dual-acquisition 3D TSE sequence combined with dual-echo Dixon based approach to generate T2-weighted and FLAIR images of the spine with and without fat suppression in a single acquisition using the similar acquisition time as 2D FLAIR. Uniform fat/water separation was achieved using a shared-field-map and complex subtraction was used to generate FLAIR-like images without artifacts.


Oral

CEST: New Solutions & Old Problems

Room 314 Monday 13:45 - 15:45 Moderators: Kejia Cai & Mark Pagel

192
13:45
Amide proton transfer-weighted MRI signal as a surrogate biomarker to assess MGMT promoter methylation status in glioblastoma
Shanshan Jiang1,2, Xianlong Wang2, Yu Wang3, Hao Yu2, Tianyu Zou2, Yongxing Du2, Charles Eberhart4, Maria Adelita Vizcaino Villalobos4, Yi Zhang1, Hye-Young Heo1, Peter Van Zijl1, Zhibo Wen2, and Jinyuan Zhou1

1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Radiology, Southern Medical University, Zhujiang Hospital, Guangzhou, People's Republic of China, 3Department of Pathology, Southern Medical University, Zhujiang Hospital, Guangzhou, People's Republic of China, 4Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD, United States

We explored the feasibility of using the APTW signal intensity as a surrogate biomarker to identify the methylation status of MGMT promoter in glioblastoma (GBM). Eighteen patients with newly diagnosed GBM were recruited and scanned. Results showed that the APTW signal intensities were significantly higher in the unmethylated MGMT promoter group than in the methylated MGMT promoter group. The area under the ROC curve (AUC) for APTW to differentiate these two GBM groups was 0.857. Preoperative APTW imaging may assist in predicting the MGMT promoter methylation status in patients with GBM.

193
13:57
Dynamic Glucose Enhanced Imaging at 3T: First Human Data
Xiang Xu1,2, Akansha Sehgal1,2, Nirbhay N. Yadav1,2, Linda Knutsson1,3, John Laterra4, Martin Pomper1, Hailey Rosenthal1, and Peter C.M. van Zijl1,2

1Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 2F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3Department of Medical Radiation Physics, Lund University, Lund, Sweden, 4Department of Neurology, Johns Hopkins University, Baltimore, MD, United States

Recently, it has been demonstrated that D-glucose has potential as an MRI contrast agent at 7T for imaging dynamic changes upon glucose infusion in brain tumors using chemical exchange saturation transfer (CEST) MRI. Here we show first data for the possibility of translating such technique to 3T using pseudo-continuous wave saturation and extend the method to acquire a 3D volume (10 slices) for better brain coverage. We present dynamic glucose-enhanced (DGE) data from healthy volunteers and a brain tumor patient with a low grade glioma showing the feasibility of glucose enhanced imaging at clinical field strength. 

194
14:09
Effect of Osmolality on Dynamic Glucose Enhanced(DGE) MRI
Wonmin Choi1,2, Julius Juhyun Chung1,3, Tao Jin4, and Seong-Gi Kim1,2,3

1Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Korea, Republic of, 2Department of Biomedical Engineering Sungkyunkwan University (SKKU), Suwon, Korea, Republic of, 3Samsung Advanced Institute for Health Sciences and Technology, Sungkyunkwan University, Seoul, Korea, Republic of, 4Department of Radiology, University of Pittsburgh, Pittsburgh, PA, United States

Dynamic glucose enhanced(DGE) MRI has shown promise in glucose metabolism studies. In recent studies, a hypertonic dextrose solution was used for reliable detection of glucose in the brain. However, the effects of the hypertonic solution on DGE signal have not been verified yet. This study aimed to investigate the signal contributions from non-glucose related components. We used hypertonic D-, L-glucose, and NaCl solution to identify osmolality effects. Our data show an osmotic shift of water between the extravascular and intravascular space, induced by administering D-glucose(50%), can highly affect the DGE signal but negligible contributions were observed from the intravascular space. 

195
14:21
Accelerated CEST Imaging with Parallel Blind Compressed Sensing
Huajun She1, Bian Li1, Joshua S. Greer1,2, Jochen Keupp3, Ananth Madhuranthakam1,4, Ivan E. Dimitrov1,5, Robert Lenkinski1,4, and Elena Vinogradov1,4

1Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 2Bioengineering, UT Dallas, Dallas, TX, United States, 3Philips Research, Hamburg, Germany, 4Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 5Philips Healthcare, Gainesville, FL, United States

This work investigates accelerating CEST imaging using parallel blind compressed sensing (BCS). BCS method assumes a few functions are enough to represent the dynamic behavior. In CEST imaging, the Z-spectrum performs similar in the same compartment, which is suitable for BCS reconstruction. The traditional BCS method does not consider the coil sensitivity, which is complementary sparse information with spatial-temporal dictionary. The proposed method addresses the coil sensitivity information and the sparsity prior information in CEST and further improves the BCS method, demonstrating a better estimation of the CEST effect for both phantom and in vivo brain data.

196
14:33
Quantitative Chemical Exchange Saturation Transfer (CEST) Imaging with Magnetic Resonance Fingerprinting (MRF)
Shuning Huang1, Ouri Cohen1,2, Michael T. McMahon3,4, Young R. Kim1,2, Matthew S. Rosen1,2,5, and Christian T. Farrar1,2

1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 2Radiology, Harvard Medical School, Boston, MA, United States, 3The Russel H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University, Baltimore, MD, United States, 4F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 5Department of Physics, Harvard University, Cambridge, MA, United States

CEST MRI suffers from several limitations including long image acquisition times and the qualitative nature of the CEST contrast. Clinical translation of CEST MRI would benefit greatly from the development of quantitative and rapid CEST methods. Here we build on the recently developed Magnetic Resonance Fingerprinting (MRF) technique and report the first use of a fast CEST fingerprinting method for generating quantitative exchange rate and exchangeable proton concentration maps of L-Arginine phantoms and a permanent MCAO rat stroke model.

197
14:45
CEST Fingerprinting: A Novel Approach for Exchange Rate Quantification
Zhengwei Zhou1,2, Pei Han3, and Debiao Li1,2

1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 3Department of Engineering Physics, Tsinghua University, Beijing, People's Republic of China

In this work, we developed a CEST fingerprinting technique for exchange rate quantification. This method utilizes CEST saturation with varying B1 amplitudes and durations to create uniqueness of signal evolution for different exchange rates. The acquired signal was matched to a predefined dictionary. Preliminary studies were performed in phantoms to show the feasibility.

198
14:57
Measuring APT contrast in the lung using CEST FT-phase MRI and a retrospective gating technique
Kyle M. Jones1, Carol A. Steum2, Charles C. Hsu3, Phillip H. Kuo2, Mark D. Pagel2, and Edward A. Randtke2

1Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 2Medical Imaging, University of Arizona, Tucson, AZ, United States, 3Medicine, University of Arizona, Tucson, AZ, United States

We have developed a CEST FT-phase MRI method that can measure endogenous Amide Proton Transfer (APT) contrast in lung tumors and other tissues that are affected by lung motion.  The method monitors the breathing cycle based on the relative phase angle between adjacent pixels, and selects a subset of images during the quiescent period between breaths.  The resulting MTRasym contrast of an oscillating egg white phantom, volunteers, and patients with lung tumors showed that CEST FT-phase MRI produced more precise quantitative assessments of APT. 

199
15:09
B1+ inhomogeneity mitigation in CEST using parallel transmission: pTxCEST
Nuno André da Silva1, Desmond H. Y. Tse2, Benedikt A Poser2, and N Jon Shah1,3,4

1Institute of Neuroscience and Medicine - 4, Forschungszentrum Jülich, Jülich, Germany, 2Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands, 3Department of Neurology, Faculty of Medicine, RWTH Aachen University, JARA, Aachen, Germany, 4Department of Electrical and Computer Systems Engineering, and Monash Biomedical Imaging, School of Psychological Sciences, Monash University, Melbourne, Australia

To demonstrate the benefits from the increased spectral bandwidth at ultra-high field (UHF) by using parallel transmission (pTx) to mitigate flip-angle inhomogeneity in chemical exchange saturation transfer (CEST) imaging. A pTx basis pulse is homogenised by magnitude least-squares (MLS) optimisation and expanded to form a frequency-selective saturation pulse for CEST. The pTx saturation pulse was validated by both Bloch-McConnell simulation and in vivo imaging at 7T. Improved homogeneity in contrasts and relaxation-compensated CEST metrics were observed in our in vivo data when the pTx saturation pulse was used instead of the standard CP-mode Gaussian pulse.

200
15:21
Understanding concomitant effects between CEST and ASL contrast.
Francisco Torrealdea1,2, Marilena Rega3, Mohamed Tachrount1, Magdalena Sokolska4, and Xavier Golay1

1Institute of Neurology, UCL, London, United Kingdom, 2Centre for Medical Imaging, University College London, London, United Kingdom, 3Institute of Nuclear Medicine, UCLH, London, United Kingdom, 4Medical Physics and Biomedical Engineering, UCLH, London

This study aims to assess the relationship between brain perfusion and CEST measurements. For this purpose, an oxygen-carbogen challenge experiment was designed in order to compare CEST measurements of the rat brain in low and high perfusion conditions. 

Comparison of the CEST with CBF measurement show strong correlation (p<0.005 with Spearman Rho=0.976). From the results of the study it is notable that blood perfusion is a strong modulator of the observed CEST signal in the rat brain.


201
15:33
CEST Signals of Lipids
Steffen Goerke1, Moritz Zaiss1,2, Dario Longo3, Francesca Garello4, Enza Di Gregorio4, Johannes Breitling1, Mark E Ladd1, and Peter Bachert1

1Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Department of High-field Magnetic Resonance, Max-Planck-Institute for Biological Cybernetics, Tübingen, Germany, 3Institute of Biostructure and Bioimaging, Consiglio Nazionale delle Ricerche (CNR), Turin, Italy, 4Department of Molecular Biotechnology and Health Sciences, University of Turin, Turin, Italy

In this study, lipids were identified to be an important contributor to the upfield chemical exchange saturation transfer (CEST) signals of brain tissue. This finding can explain the pronounced CEST image contrast between gray and white matter observed in healthy volunteers.


Oral

New Perspectives in DSC & DCE

Room 316BC Monday 13:45 - 15:45 Moderators: David Buckley & Joel Garbow

202
13:45
D2O Perfusion MRI of Brain Tumor on a Mouse Model: A Preliminary Study
Pei-Lun Yu1, Sheng-Min Huang1, Cheng-He Li1, Sheng-Yan Wu 1, Chi-Shiun Chiang1, Kung-Chu Ho2, and Fu-Nien Wang1

1Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan, 2Nuclear Medicine, Chang Gung Memorial Hospital, Taoyuan, Taiwan

Recently, deuterium oxide (D2O) has been proposed as an alternative contrast agent on rodent brain perfusion by monitoring the attenuation of 1H signal. Since D2O is a highly diffusible contrast agent, the revealed information of Gd chelates and D2O are different. In this study, we aimed to re-investigate the perfusion information carried by D2O with advanced spatial resolution. We speculated that D2O slowly diffused into tumor area and continuously exchanged with tissue water until a balanced concentration. Inside the tumor region, the heterogeneity shown by D2O and Gd-DTPA are somewhat different.

203
13:57
Measuring transmembrane water exchange in rat brain cortical cells in normal and pathological conditions
Ruiliang Bai1, Charles S. Springer, Jr.2, Dietmar Plenz3, and Peter Basser1

1Section on Quantitative Imaging and Tissue Sciences, DIBGI, NICHD, National Institutes of Health, Bethesda, MD, United States, 2Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, United States, 3Section on Critical Brain Dynamics, LSN, NIMH, National Institutes of Health, Bethesda, MD, United States

Knowledge of transmembrane water exchange kinetics is invaluable for the correct interpretation of many MRI experiments, e.g., DCE-MRI, diffusion MRI, etc. Here we quantitatively studied the transmembrane water exchange  in organotypic cultures from rat brain cortex with an MR relaxation contrast agent. In normal states, we determined the equilibrium cellular water efflux rate constant [kio] is 2.15 (± 1.28) s-1 at 34 (± 1)  °C. In the likely cell-swollen state induced by Ouabain perfusion, we, for the first time, quantitatively measured a global increase of the intracellular volume fraction (~104%) together and a large decrease of kio (~64%). 

204
14:09
Anisotropic cerebral vascular architecture causes orientation dependency in cerebral blood flow and volume measured with spin echo dynamic susceptibility contrast magnetic resonance imaging
Jonathan Doucette1,2, Luxi Wei1,3, Christian Kames1,2, Enedino Hernández-Torres1,4, Rasmus Aamand5, Torben E. Lund5, Brian Hansen5, and Alexander Rauscher1,4

1UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada, 2Engineering Physics, University of British Columbia, Vancouver, BC, Canada, 3Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 4Pediatrics, University of British Columbia, Vancouver, BC, Canada, 5Center of Functionally Integrative Neuroscience (CFIN) and MINDLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark

Cerebral white matter tissue perfusion measured with gradient echo dynamic susceptibility contrast (DSC) imaging exhibits a strong dependency on the angle between white matter fibres and the main magnetic field. Here, we investigate how spin echo DSC depends on the orientation of white matter and explain orientation effects by a model of diffusion within a magnetically inhomogenous environment created by a vascular bed with isotropic and anisotropic components. We found that the change in $$$R_2$$$ value for the SE DSC is 20% larger in WM fibres perpendicular to $$$B_0$$$ than for those parallel, compared with 100% larger in GRE DSC.

205
14:21
Simultanous-multi-slice and Alternating Multi-echo Measurement Sequence (SAME) for Perfusion Imaging
Elias Kellner1, Marco Reisert1, Benedikt A Poser2, Irina Mader3, Valerij G Kiselev1, and Michel Herbst1

1Department of Radiology, University Medical Center Freiburg, Freiburg, Germany, 2Department of Cognitive Neuroscience, Maastricht Brain Imaging Centre (MBIC), Maastricht University, 3Department of Neuroradiology, University Medical Center Freiburg, Freiburg, Germany

In this work, we combine simultaneous multi-slice acquisition with a multi-echo readout, dedicated to dynamic susceptibility-contrast perfusion imaging (DSC). With this approach, multiple spin and gradient echo images can be obtained at short repetition times to determine both T2 and T1 effects of contrast agent in a robust and stable manner.

206
14:33
Full Brain Vasculature Analysis using Gradient/Spin-Echo Multi-band EPIK: Tumour Evaluation with MR-PET
Nuno André da Silva1, N Jon Shah1,2,3, Rute Lopes1,4, Ezequiel Farrher1, and Seong Dae Yun1

1Institute of Neuroscience and Medicine - 4, Forschungszentrum Jülich, Jülich, Germany, 2Department of Neurology, Faculty of Medicine, RWTH Aachen University, JARA, Aachen, Germany, 3Department of Electrical and Computer Systems Engineering, and Monash Biomedical Imaging, School of Psychological Sciences, Monash University, Melbourne, Australia, 4Institute of Biomedical Engineering and Biophysics, Science Faculty of University of Lisbon, Lisbon, Portugal

Perfusion weighted imaging (PWI) using dynamic susceptibility contrast (DSC) imaging is a widely used technique in tumour imaging. The use of multi-echo DSC, gradient and spin echo (GESE), allows one to obtain vasculature information. However, trade-off between number of echoes, spatial resolution and brain coverage is required. In this work, the use of EPI with keyhole (EPIK) combined with multi-band is proposed to obtain a whole brain multi-echo GESE-DSC in clinically relevant acquisition times. The method was applied in a cohort of brain tumour patients in a MR-PET scanner enabling localisation of the tumour based on metabolic information from PET.

207
14:45
Comparison of Ferumoxytol based Cerebral Blood Volume estimates using Multi-Echo T2* and Ultrashort Echo Time T1 Imaging
Leonardo Rivera Rivera1, Tilman Schubert2, Patrick A Turski2, and Kevin M Johnson1

1Dept. of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Dept. of Radiology, University of Wisconsin-Madison, Madison, WI, United States

Intracranial vascularity is modified in a wide array of diseases including cancer, various forms of dementia, and stroke.  Steady state imaging with Ferumoxytol provides unique opportunities to estimate cerebral blood volume (CBV). In this work, we investigate the correlation between relaxometry changes measured utilizing ultrashort echo time variable flip angle (UTE-VFA) R1 and a multi-echo R2* approaches. Initial results from 8 healthy volunteers shows a high degree of correlation of R1 with R2* measures and improved performance in and around vessels. This, and opportunities to probe disease induced disagreements, suggests potential value in combined R1 and R2* measures. 

208
14:57
The effects of intra-voxel contrast agent diffusion on the analysis of DCE-MRI data in realistic tissue domains
Ryan Thomas Woodall1, Stephanie L Barnes1, Anna G Sorace2, David A Hormuth II1, C Chad Quarles3, and Thomas E Yankeelov1

1Biomedical Engineering, The University of Texas at Austin, Austin, TX, United States, 2Dell Medical School, The University of Texas at Austin, TX, United States, 3Barrow Neurological Institute, AZ, United States

Standard compartmental models for quantitative dynamic contrast enhanced MRI (DCE-MRI) typically assume active delivery of contrast agent that is instantaneously distributed within the extravascular extracellular space within each imaging voxel. The goal of this study is to determine the error accumulated in the estimated pharmacokinetic parameters when these assumptions are not satisfied. Using finite element methods to model contrast agent arrival and diffusion throughout realistic tissue domains (obtained from histological stains of tissue sections from a murine cancer model), it was rigorously determined that parameterization error is highest in regions of low vascularity, and lowest in well-perfused regions.

209
15:09
A Robust Reconstruction Method for Quantitative Perfusion MRI: Application to Brain Dynamic Susceptibility Contrast (DSC) Imaging
Cagdas Ulas1,2, Pedro A. Gomez1,2, Jonathan I. Sperl2, Christine Preibisch3, Marion I. Menzel2, Axel Haase4, and Bjoern H. Menze1

1Department of Computer Science, Technische Universität München, Munich, Germany, 2GE Global Research, Munich, Germany, 3Department of Neuroradiology, Technische Universität München, Munich, Germany, 4Zentralinstitut für Medizintechnik, Technische Universität München, Munich, Germany

We propose a robust reconstruction model for dynamic perfusion magnetic resonance imaging (MRI) from undersampled k-space data. Our method is based on a joint penalization of the pixel-wise incoherence on temporal differences and patch-wise dissimilarities between spatio-temporal neighborhoods of perfusion image series. We evaluate our method on dynamic susceptibility contrast (DSC)–MRI brain perfusion datasets and demonstrate that the proposed reconstruction model can achieve up to 8-fold acceleration by yielding improved spatial reconstructions and providing highly accurate matching of perfusion time-intensity curves, thus leading to more precise quantification of clinically relevant perfusion parameters over two existing reconstruction methods.

210
15:21
Automated renal motion correction using fat-images derived from Dixon reconstruction of DCE MRI
Anneloes de Boer1, Tim Leiner1, and Nico van den Berg1

1University Medical Center Utrecht, Utrecht, Netherlands

In renal dynamic contrast enhanced (DCE) MRI respiratory motion of the kidneys necessitates registration of the dynamics. Since image contrast varies during contrast agent passage, automatic registration is challenging. We show that on Dixon-derived fat-images this contrast change is virtually absent. Therefore, we propose to perform automated image registration using fat-images and apply the resulting transformation to the water-images. We applied this method to DCE data of 10 patients and show its superiority over a conventional registration approach. Pharmacokinetic fits to a two-compartment model yielded realistic values for renal perfusion and filtration.

211
15:33
Motion correction for 3D free-breathing renal DCE-MRI using tracer kinetic model-driven registration
Dimitra Flouri1,2, Daniel Lesnic2, Constantina Chrysochou3, Philip Kalra3, and Steven P Sourbron1

1Division of Biomedical Imaging, University of Leeds, Leeds, United Kingdom, 2Department of Applied Mathematics, University of Leeds, Leeds, United Kingdom, 3University of Manchester, Salford, United Kingdom

Tracer-kinetic model driven motion-correction is a highly effective strategy for 2D free-breathing DCE-MRI. In this study we address the challenge of translation to 3D by improving computational efficiency and evaluating performance in the presence of ghosting artefacts. Results in 8 patient cases show that the optimised algorithm is feasible in realistic computation times and effectively removes between-frame breathing motion despite significant within-frame artefacts. Quantitative evaluation against reference measurements shows a reduction of the bias, but precision is limited by within-frame artefacts and will require an integrated motion-correction and image reconstruction strategy.


Oral

MS: Cutting Edge Methods

Room 320 Monday 13:45 - 15:45 Moderators: Nivedita Agarwal & Yukio Miki

212
13:45
Metabolic counterparts of sodium accumulation in Multiple Sclerosis: A whole brain 1H-MRSI and 23Na-MRI study
Maxime Donadieu1,2,3, Adil Maarouf1,4, Yann Le Fur1,4, Soraya Gherib1,4, Elisabeth Soulier1,4, Lauriane Pini1,4, Stanislas Rapacchi1,4, Sylviane Confort-Gouny1,4, Maxime Guye1,4, Jean Pelletier5, Bertrand Audoin5, Wafaa Zaaraoui1,4, and Jean-Philippe Ranjeva1,4

1Aix-Marseille University, CNRS, CRMBM UMR 7339, Medical School of Marseille, Marseille, France, Metropolitan, 2AP-HM, CHU Timone, Department of Imaging, CEMEREM, Marseille, France, 3Siemens Healthineers, Saint-Denis, France, Metropolitan, 4AP-HM, CHU Timone, Department of Imaging, CEMEREM, Marseille, France, Metropolitan, 5AP-HM, CHU Timone, Department of Neurology, Marseille, France, Metropolitan

To determine the metabolic counterparts of cerebral total sodium accumulations in patients with Multiple Sclerosis, we acquired fast 3D-1H-EPSI and Density-adapted 3D-UTE 23Na MRI at 3 Tesla covering the whole brain in 21 patients and 20 volunteers. Patients showed increased 23Na and decreased NAA, Glx and Cho levels. Stepwise analyses highlights association of 23Na accumulations with i) decreased NAA and Glx levels and increased Cho levels within GM, ii) with decreased NAA and increased Cho levels within NAWM and T2 lesion compartments. Clinical status of patients assessed by MSFC was correlated to GM and NAWM 23Na, NAA and Glx levels.

213
13:57
MS lesions demonstrating a QSM hyperintense-rim have more myelin loss compared to those without a QSM hyperintense-rim
Yihao Yao1, Thanh D. Nguyen2, Sneha Pandya2, Sandra Hurtado Rúa3, Amy Kuceyeski4, Yi Wang2,5, and Susan A. Gauthier6

1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science & T, Wuhan, People's Republic of China, 2Department of Radiology, Weill Cornell Medical College, New York, NY, United States, 3Department of Mathematics, Cleveland State University, Cleveland, OH, 4Department of Radiology, Weill Cornell Medicine Feil Family Brain and Mind Research Institute, New York, NY, United States, 5Biomedical Engineering, Cornell University, Ithaca, NY, United States, 6Department of Neurology, Weill Cornell Medical College, New York, NY, United States

Iron causes proinflammatory activation of microglia near the rim of white matter MS lesion. This is chronic inflammation with associated myelin tissue damage. We propose to use quantitative susceptibility mapping (QSM) to assess chronic inflammation, as hyperintense rim on QSM can be unequivocally interpreted as iron. We use myelin water fraction (MWF) to measure myelin. We have found that MS lesions with hyperintense rims on QSM have lower MWF and higher susceptibility compared to lesions without hyperintense rims on QSM (p<0.01). Hyperintense rim on QSM may provide a biomarker for tissue injury due to iron associated chronic inflammation.

214
14:09
Combining QSM and MWF in multiple sclerosis: a marker for the inflammatory state of MS lesions?
Carsten Stueber1,2, Alexey Dimov1, Kofi Deh1, Thanh Nguyen1, Yi Wang1, and David Pitt2

1Weill Cornell Medicine, New York, NY, United States, 2Yale University, New Haven, CT, United States

Multiple sclerosis (MS) is a demyelinating disease of the central nervous system. In particular, excess iron is considered to play an essential role in lesion activity. In this study, we combine iron-reflecting quantitative susceptibility mapping (QSM) and myelin water fraction (MWF) with histology in post-mortem tissue. Our results show that elevated iron concentrations at the lesion rim reflect pro-inflammatory microglial activity, suggesting to use QSM to determine levels of lesion inflammation and MWF for detecting ongoing demyelination.

215
14:21
Glutamate-Sensitive CEST in Cortical Gray Matter: Application to Cognitive Impairment in Multiple Sclerosis
Kristin P. O'Grady1,2, Adrienne N. Dula3,4,5, Bailey D. Lyttle1,2, Benjamin N. Conrad2, Bailey A. Box1,2, Siddharama Pawate6, Francesca R. Bagnato6, and Seth A. Smith1,2,7

1Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 2Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 3Stroke Institute, Seton Dell Medical School, Austin, TX, United States, 4Department of Neurology, Seton Dell Medical School, Austin, TX, United States, 5Department of Neuroscience, University of Texas, Austin, TX, United States, 6Department of Neurology, Vanderbilt University, Nashville, TN, United States, 7Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States

Altered glutamate regulation in gray matter (GM) has been implicated in the pathogenesis of cognitive impairment in multiple sclerosis (MS), but such pathology in GM is subtle and difficult to detect using conventional MRI techniques. In this work, we apply a quantitative, glutamate-sensitive chemical exchange saturation transfer (GluCEST) MRI technique at 7.0T to gain new insights into molecular changes underlying GM pathology and their relationship to cognitive impairment in MS. We found significant differences in cortical GM GluCEST contrast between healthy controls and patients with MS, and in some cortical regions, GluCEST contrast correlates significantly with measures of cognitive impairment.

216
14:33
Using myelin water and diffusion basis spectrum imaging to differentiate demyelination, inflammation, oedema and axonal damage in subjects with multiple sclerosis
Irene Margaret Vavasour1, Peng Sun2, Shannon H Kolind1,3, David KB Li1, Alex L MacKay1,4, Sheng-Kwei Song2, Robert Carruthers3, and Anthony L Traboulsee3

1Radiology, University of British Columbia, Vancouver, BC, Canada, 2Radiology, Washington University, St. Louis, MO, United States, 3Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada, 4Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada

This study compared myelin water fraction (MWF), intra/extracellular water geometric mean T2 (ieGMT2) and diffusion basis spectrum imaging (DBSI)-derived measures in multiple sclerosis (MS) lesions and normal appearing white matter. 14 MS subjects were scanned with 48-echo T2 relaxation and DBSI sequences. Significant correlations were found for MWF vs radial diffusivity, MWF vs fiber fraction, and ieGMT2 vs restricted fraction. Lesions showed changes consistent with decreased myelin and axons. Enhancing lesions also showed increased oedema. By quantitatively distinguishing and tracking inflammation, axon and myelin injury, DBSI and myelin water imaging can inform us of the pathological processes involved in MS.

217
14:45
Corticosteroid Treatment Fails to Prevent Long-term Axonal Loss Assessed by Diffusion Basis Spectrum Imaging
Tsen-Hsuan (Abby) Lin1, Jie Zhan2, Chunyu Song3, Michael Wallendorf4, Peng Sun1, Anne H Cross5,6, and Sheng-Kwei Song1,3,6

1Radiology, Washington University School of Medicine, St. Louis, MO, United States, 2Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi, People's Republic of China, 3Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States, 4Biostatistics, Washington University School of Medicine, St. Louis, United States, 5Neurology, Washington University School of Medicine, St. Louis, MO, United States, 6The Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States

Glucocorticoids are commonly used to treat acute optic neuritis. Herein, we employed longitudinal diffusion basis spectrum imaging (DBSI) to examine and compare optic nerve integrity in EAE with PBS or Dexamethasone treatment. Our results indicate that anti-inflammatory treatment with corticosteroids alone is not sufficient to prevent eventual axonal loss in mice, and may have relevance for treatment of MS exacerbations with corticosteroids. DBSI could serve as an outcome measure to monitor longitudinal disease progression and to help stratify treatments.

218
14:57
Multiple sclerosis lesions are softer than surrounding white matter: An MR elastography study
Curtis L Johnson1, Christian A Thompson1, Brian M Sandroff2, Thomas A Edwards3, Elizabeth A Hubbard3, Rachel E Klaren3, Hillary Schwarb4, Bradley P Sutton4, Lara A Pilutti5, and Robert W Motl6

1Department of Biomedical Engineering, University of Delaware, Newark, DE, United States, 2Kessler Foundation, East Hanover, NJ, United States, 3Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 4Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 5Interdisciplinary School of Health Sciences, University of Ottawa, Ottawa, ON, Canada, 6Department of Physical Therapy, University of Alabama at Birgmingham, Birmingham, AL, United States

Mechanical properties of the brain measured with magnetic resonance elastography (MRE) have proven sensitive to tissue health in neurological conditions, including multiple sclerosis (MS). In this study, we use high-resolution MRE to examine the mechanical properties of focal lesions in subjects with MS to determine if they exhibit viscoelastic signatures that differ from surrounding white matter. In a sample of fourteen subjects, we found that lesions are significantly softer than surrounding white matter. This finding suggests MRE is sensitive to tissue disruption localized to focal lesions, and may provide novel measures of tissue health in the assessment of MS.

219
15:09
Investigation of outer and inner cerebellar MTR abnormalities in different MS clinical subtypes
Rebecca Sara Samson1, Manuel J Cardoso2,3, Nils Muhlert1,4, Varun Sethi1,5, Özgür Yaldizli1,6, Maria A Ron1, Ferran Prados 1,2, Sebastian Ourselin2,3, David H Miller1,7, Claudia A M Gandini Wheeler-Kingshott1,8,9, and Declan T Chard1,7

1UCL Institute of Neurology, Queen Square MS Centre, University College London, London, United Kingdom, 2Translational Imaging Group, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 3Dementia Research Centre, Department of Neurodegenerative Diseases, UCL Institute of Neurology, University College London, London, United Kingdom, 4Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom, 5Department of Neurology, Nottingham University Hospitals, Nottingham, United Kingdom, 6Department of Neurology, University Hospital Basel, Basel, Switzerland, 7National Institute for Health Research (NIHR) University College London Hospitals Biomedical Research Centre, United Kingdom, 8Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 9Brain MRI 3T Center, C. Mondino National Neurological Institute, Pavia, Italy

Histopathology has demonstrated extensive grey matter (GM) damage in MS, and an association with meningeal inflammatory factors has previously been suggested. We applied a method to subdivide the cerebellar GM (CGM) into inner and outer regions, and investigated for magnetization transfer ratio (CGM-MTR) abnormalities in MS subtypes compared to healthy controls (HC). Outer was lower than inner CGM-MTR in all groups including HC. Outer and inner CGM-MTR reductions were observed in progressive MS subtypes. Stronger correlations of outer than inner CGM-MTR with clinical scores were observed, suggesting that outer CGM-MTR may reflect more clinically relevant pathology, particularly in progressive MS.

220
15:21
High Spatial Resolution Mapping of Trans-Capillary Water Exchange in Progressive Multiple Sclerosis
Ian Tagge1, Manoj Sammi1, Rebecca Spain2, Dennis Bourdette2, Randy West2, John Grinstead1,3, Katherine Powers1, Xin Li1, Charles Springer1, and William Rooney1

1Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, United States, 2Neurology, Oregon Health & Science University, Portland, OR, United States, 3Siemens Medical Solutions, Portland, OR

DCE-MRI data were acquired from 14 healthy control (HC) and 16 secondary progressive multiple sclerosis subjects on a 7T MRI instrument to investigate difference in brain blood vessel properties. The Shutter-Speed Paradigm was used to map blood volume fraction and trans-capillary water exchange kinetics. Our finding suggest abnormalities in brain blood vessel properties suggestive of impaired metabolism in secondary progressive MS. 

221
15:33
Improving white matter lesion conspicuity in multiple sclerosis using patient-specific optimization of 3D FLAIR
Refaat E Gabr1, Amol S Pednekar2, Koushik A Govindarajan1, Xiaojun Sun1, Roy F Riascos1, María G Ramírez1, Khader M Hasan1, John A Lincoln3, Flavia M Nelson3, Jerry S Wolinsky3, and Ponnada A Narayana1

1Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston, Houston, TX, United States, 2Philips Healthcare, Cleveland, OH, United States, 3Neurology, University of Texas Health Science Center at Houston, Houston, TX, United States

Fluid-attenuated inversion recovery (FLAIR) imaging is widely used in multiple sclerosis (MS) scan protocols for its good lesion to tissue contrast. Optimization of 3D FLAIR acquisition parameters for the individual patient could further improve lesion conspicuity. In this work, tissue contrast between lesions and white matter for 3D FLAIR was optimized in the same scan session based on fast measurement of the relaxation times and proton density. Results on 16 MS patients show ~30% improved lesion contrast with the patient-specific acquisition parameters compared to the fixed-parameter 3D FLAIR sequence. 


Combined Educational & Scientific Session

Studying the Value of MRI

Organizers: Vikas Gulani, M.D., Ph.D. & James G. Pipe, Ph.D.

Room 315 Monday 13:45 - 15:45 Moderators: Vikas Gulani & James Pipe

13:45
Studying Value in MRI: A US Perspective
Yoshimi Anzai1

1University of Utah Health

The current healthcare transformation provides a perfect opportunity for the entire MR community to deliberate the value of MRI. It is essential to understand what each stakeholder wants or needs from MR or information obtained from MRI.  A focused MR protocol with shorter scan time, reduced costs and accurate, timely, and actionable diagnosis are just a few examples.  The challenges provide strong motivation and incentives for us to make strategies for developing high-value MRI.  By doing so, imaging will become the value center, not the cost center, for the health system and patient care spectrum. 

13:49
Studying Value in MRI: A South Korean Perspective
Jeong Min Lee1

1Seoul National University Hospital

In summary, MR allows a high detection and characterization rate in the abdomen, without ionizing radiation. Also, abbreviated noncontract MRI protocol can be used for screening several abdominal diseases. To further increase the value of MRI, the additional effort for increasing compliance of patients for MR examination by incorporating free breathing sequences or shortening examination time, and increasing awareness of its superiority to CT in imaging many of the abdominal organs would be necessary. 

13:53
Opening Remarks

222
13:57
Cost-Utility Analysis of Ultrasound, Computed Tomography, Abbreviated and Standard MRI for Hepatocellular Carcinoma Surveillance
An Tang1,2, Boyan Fan1, Joshua Bérubé1, Milena Cerny1, Damien Olivié1, Jeanne-Marie Giard3, Luigi Lepanto1,4, and Jean Lachaine5

1Radiology, University of Montreal, Montreal, QC, Canada, 2Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), Montreal, QC, Canada, 3Gastroenterology and Hepatology, University of Montreal, Montreal, QC, Canada, 4Health Technology Assessment Unit, 5Faculty of Pharmacy and Pharmacoeconomics, University of Montreal, Montreal

Current clinical practice guidelines recommend ultrasound (US) every 6 months for surveillance of hepatocellular carcinoma (HCC) in at-risk patients. Despite higher sensitivity, there is uncertainty regarding the role of MRI for HCC surveillance, whether as an add-on or replacement test. Our results indicate that surveillance with standard MRI followed by CT if technically inconclusive provided the highest level of effectiveness. However, CT followed by MRI was more cost-effective than alternative surveillance strategies using a threshold of $50,000 per QALY gained. Further, lower cost of abbreviated MRI will be required to be used as a first-line imaging technique for surveillance. 

223
14:01
Optimizing MRI for Focal Liver Lesions: Are All Our Sequences Really Necessary?
Sara Dastmalchian1, Nicholas Fulton2,3, Majid Chalian2,3, Ozden Kilinc1, Mark Griswold4, Vikas Gulani2,3, and Karin Herrmann2,3

1Department of Radiology, Case Western Reserve University, Department of Radiology, Cleveland, OH, United States, 2Department of Radiology, University hospitals Cleveland medical center, Cleveland, OH, United States, 3University Hospitals Cleveland Medical Center, Cleveland, OH, United States, 4Case Western University

In this proof-of-concept study, our aim was to determine an optimal minimum number of MRI sequences which allow confident characterization of liver lesions into benign versus malignant categories with reasonable accuracy. We hypothesized that an abbreviated liver MRI protocol including single shot T2-weighted, pre and dynamic post-contrast T1-weighted images  has the potential to reduce overall scan time and throughput. If this can be performed without significant loss in diagnostic accuracy it may improve efficacy and be beneficial to current practice. 

224
14:05
Short 15-min surveillance-protocol multiphasic contrast enhanced MRI for hepatocellular carcinoma detection in cirrhosis
Takeshi Yokoo1, Gaurav Khatri1, Lakshmi Ananthakrishnan1, David Fetzer1, Yin Xi1, and Ivan Pedrosa1

1Radiology, UT Southwestern Medical Center, Dallas, TX, United States

Patient with cirrhosis are at increased risk of developing hepatocellular carcinoma (HCC) and routine surveillance imaging is recommended every 6 months.  While MRI has high sensitivity for HCC detection, its routine use is controversial due to its long exam time, high cost, and limited access. In this prospective study, we demonstrated that a short 15-min surveillance MRI has similar  HCC detection performance as the standard 45-min diagnostic MRI in patients with cirrhosis.  Therefore, a short surveillance MRI may allow for a more efficient and cost-effective alternative to the current standard-of-care MRI for HCC surveillance. 

225
14:09
Diagnostic performance of an abbreviated gadoxetic acid enhanced-MRI (AMRI) vs. ultrasound for detection of small HCC: pilot study.
Cecilia Besa1, Sara Lewis1, Mathilde Wagner1,2, Yujin Hoshida3, Ruth Carlos4, Claude B Sirlin5, and Bachir Taouli1

1Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Radiology, Groupe Hospitalier Pitié Salpêtrière, Paris, France, 3Department of Medicine/Division of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Radiology, Division of Abdominal Radiology, University of Michigan Health System, Ann Arbor, MI, United States, 5Liver Imaging Group, Department of Radiology, University of California, San Diego, CA, United States

In this study, we aim to test the diagnostic value of an abbreviated MRI (AMRI) using gadoxetic acid (with patient injected outside the MRI room) compared to ultrasound (US) for hepatocellular carcinoma (HCC) detection in a population of patients with small HCC and controls. This study demonstrates that AMRI using T1WI obtained at the hepatobiliary phase (T1w-HBP), diffusion weighted imaging (DWI) and T2WI has superior diagnostic performance for HCC detection compared to US. This could serve as the basis for a future study assessing AMRI for HCC screening/surveillance in patients with cirrhosis. 

226
14:13
Demonstrating the Clinical Feasibility of a Rapid Non-Contrast MRI Protocol for Detection and Quantification of Hepatic Steatosis and Iron Overload
B. Dustin Pooler1 and Scott B. Reeder1

1University of Wisconsin, Madison, WI, United States

Many clinical scenarios necessitate evaluation for hepatic steatosis or iron overload without indication for a complicated MR exam. Emerging confounder-corrected chemical shift encoded MRI (CSE-MRI) techniques can provide simultaneous estimation of liver proton density fat fraction (PDFF) and R2* as biomarkers of steatosis and iron overload, respectively. We have developed a highly focused CSE-MRI protocol which obtains these metrics in approximately 5 minutes of table time.  Our initial clinical experience has shown this protocol to be feasible for evaluation of patients ranging from pediatric to geriatric, with clinically significant disease detected in a large fraction of patients scanned to date.

14:17
Discussion

227
14:21
Contrast-enhanced Ultrashort Echo Time (UTE) MR of the chest to evaluate for metastatic nodules in pediatric patients with malignancy undergoing abdomen MR staging and surveillance: a high-value alternative or adjunct to CT
Anshul Haldipur1, Evan James Zucker1, Joseph Y. Cheng1, and Shreyas S. Vasanawala1

1Radiology, Stanford University, Stanford, CA, United States

Ultrashort Echo Time (UTE) MRI of the chest can be optimized for detection of metastatic lung nodules. In pediatric patients with a history of abdominal malignancies undergoing routine re-staging contrast-enhanced MRI exams, clinically significant metastatic lung nodules are detectable which, if diagnosed, could obviate or decrease the frequency of subsequent separate CT scans of the chest. Though cost of a chest CT is lower than an MRI, it is substantially more than the incremental cost of adding an additional sequence during already-scheduled MR Abdomen exams. Additionally, ionizing radiation is avoided, alleviating concerns about cumulative exposure following multiple serial follow-up examinations.

228
14:25
The use of MRI in the diagnosis of Chronic Thromboembolic Pulmonary Hypertension
Christopher S Johns1, Andy J Swift1,2, Jens Vogel-Claussen3, David G Kiely4, and Jim M Wild1

1Academic Radiology, The University of Sheffield, Sheffield, United Kingdom, 2Insigneo, Institute of In-Vivo Medicine, 3Medizinische Hochschule Hannover, Germany, 4Pulmonary Vascular Disease Unit, Sheffield Teaching Hospitals, United Kingdom

As surgical pulmonary endarterectomy significantly improves survival in patients with chronic thrombo-embolic pulmonary hypertension it is important to correctly identify patients. Using cardiopulmonary MRI it is possible to screen for the presence of chronic thombo-emboli in all cases who can tolerate MRI, reducing the requirement for SPECT (and therefore patient radiation exposure). The same scan can also predict the presence of pulmonary hypertension, and due to a high specificity we can reduce the reliance upon an invasive test (right heart catheterisation) by around 50%.


229
14:29
Combined 3D Cine/4D Flow Accelerated Cardiac Imaging with Cloud Computing. Toward Streamlined and Fast Comprehensive Cardiac MRI Exam
Haonan Wang1, Peng Lai2, Piero Ghedin1, Shreyas S Vasanawala3, Anja C.S Brau2, and El-Sayed Ibrahim1

1GE Healthcare, Waukesha, WI, United States, 2GE Healthcare, Menlo Park, CA, United States, 3Radiology, Stanford University, CA, United States

Currently, cine MRI is the gold standard for evaluating cardiac function. Nevertheless, in today’s practice, slices need to be acquired at different oblique, and 12-16 short-axis slices needs to be acquired for sufficient ventricular coverage. The same limits apply to hemodynamics-related assessment of valvular and vascular performance, for which multiple 2D oblique flow measurements need to be acquired. In this abstract, we present a combined 3D Cine/4D Flow accelerated cardiac imaging technique with cloud computing, which significantly reduces the scan and processing time, reduces the scan’s complexity, alleviates misregistration problems, and increases productivity.

230
14:33
5 Minute Comprehensive Knee MRI with 3D Double-Echo Steady-State (DESS)
Akshay S Chaudhari1, Bragi Sveinsson1, Jeff P Wood1, Dushyant S Thakur1, Kathryn J Stevens1, Chris F Beaulieu1, Marcus T Alley1, Curtis Abercrombie1, Garry E Gold1, and Brian A Hargreaves1

1Radiology, Stanford University, Stanford, CA, United States

Knee MRI is performed commonly in the US for assessing acute injuries as well as degenerative diseases. However, current knee MRI protocols can require 25-30 minutes or more and cost approximately $1.1billion/year. In such instances, a short knee protocol could lower costs while increasing patient throughput, comfort, and access to care. In this study, we show that a five-minute double-echo steady-state (DESS) scan, with automatic T2 maps and fluid-nulled images, offers high efficacy and diagnostic utility compared to the standard knee protocol. These results suggest that a five-minute DESS scan could be used for comprehensive MRI of the knee. 

231
14:37
Targeted Rapid Knee MRI Exam using T2 Shuffling
Jonathan I Tamir1, Michael Lustig1, Valentina Taviani2, Marcus T Alley3, Becki Perkins3, Lori Hart3, Darla Mortensen3, and Shreyas S Vasanawala3

1Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 2MR Applications and Workflow, GE Healthcare, Menlo Park, CA, United States, 3Radiology, Stanford University, CA, United States

We investigate the effectiveness of a targeted rapid pediatric knee MRI exam with total exam time of about 10 minutes. We aim to enable same-day MRI access, accommodating the abbreviated protocol between other scheduled patients. The protocol is based on T2 Shuffling, a four-dimensional acquisition that permits volumetric reconstruction of images with variable T2-contrast. Preliminary data for ten subjects referred for the targeted knee MRI exam is presented. Mean time from registration to exam completion averaged 48.5 minutes, with one outlier of 269 minutes due to technologist error in documentation. 

14:41
Discussion

232
14:45
Faster and more accurate staging of rectal cancer through a two-sequence MR protocol based on high-resolution T1-weighted post-contrast 3D SPGR imaging
Andreas M. Loening1, Marcus T. Alley1, and Shreyas S. Vasanawala1

1Dept. of Radiology, Stanford University, Stanford, CA, United States

A fast 10-min MRI protocol for rectal cancer staging based on a high-resolution T1-weighted post-contrast sequence was compared to a conventional 30-40 min protocol based on multiple planes of T2-weighted imaging. With IRB approval, 37 consecutive patients were retrospectively identified whose MRI rectal cancer staging studies contained the necessary sequences allowing creation of conventional and hypothetical fast protocols. Two blinded readers assessed each protocol for findings determining cancer stage. The fast 10-min MRI staging protocol was significantly more accurate for assessment of nodal disease and rectal cancer stage, and allowed significantly more confidence in assessment for transmural extension of tumor.

233
14:49
How Quick is our “Quick DWI” for Stroke?
Elaine Lui1, David Wang1, Nawaf Yassi2, Bruce Campbell2, and Patricia Desmond1

1Radiology, Royal Melbourne Hospital, University of Melbourne, Melbourne, Australia, 2Neurology, Royal Melbourne Hospital, University of Melbourne, Melbourne, Australia

Stroke is an emergency. Although MRI is the imaging gold standard for the ischemic “core” in the hyperacute setting, MRI must be “quick” to remain relevant in the management pathway of this common disease. A “quick diffusion weighted imaging”(qDWI) protocol for acute stroke consisting of a single DWI sequence was implemented at our institution. qDWI reduced scan time by 84% compared to our conventional “Stroke” protocol, was 96.5% diagnostic, and with 90% not requiring further MRI. There was also a statistically significant quicker referral to scan time compared to the conventional “Stroke” MRIs. 

234
14:53
High-Resolution, Echo Planar Imaging on a Compact MRI Scanner: Applications in Stroke and Neuroimaging
Ek T Tan1, Paul T Weavers2, Erin M Gray2, Christopher J Hardy1, John F Schenck1, Matt A Bernstein2, Yunhong Shu2, Thomas KF Foo1, and John Huston2

1GE Global Research, Niskayuna, NY, United States, 2Radiology, Mayo Clinic, Rochester, MN, United States

Rapid (six minutes and under) neuroimaging protocols can improve patient throughput and scanner utilization, especially when accelerated using the relatively fast EPI readout. However, susceptibility-related image distortion in EPI has limited its useful spatial resolution (2-2.5mm) conventional, whole-body 3T MRI. A 3.5-fold faster slew-rate head-only gradient on a novel low-cryogen compact 3T scanner can provide an effective platform for twofold-faster EPI that achieves higher spatial resolution (1mm). The utility of rapid (under one minute) single- and multi-shot T2-weighted EPI on the compact 3T is evaluated and compared to routine T2-FSE imaging in patients with brain tumors and stroke.

235
14:57
Accelerating multi-contrast imaging in neuro-exam with sharable information
Enhao Gong1, John Pauly1, and Greg Zaharchuk2

1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States

Neurological disorders results in great clinical challenges and high societal burdens. Currently multi-contrast MRI exams are frequently used for diagnosis because of the various tissue contrasts provides complementary diagnosis information to distinguish normal tissue from pathology. However, the cost of acquiring these multiple sequences is extensive scanning time, which significantly increases both the diagnosis cost and patients’ discomfort. Here we proposed a new approach to accelerate multi-contrast imaging by using Parallel Imaging, Compressed Sensing and sharable information. We validated the new approach with experiments on both patients and healthy subjects. We demonstrate that we can reduce the multi-contrast MRI scanning time significantly while preserving the diagnostic information.

236
15:01
Prediction of treatment response using baseline structural and functional MRI in first-episode antipsychotic-naive schizophrenia
Su Lui1, Lu Liu2, Yuan Xiao2, Bo Tao2, Biqiu Tang2, and Qiyong Gong2

1west china hospital of sichuan university, chengdu, People's Republic of China, 2west china hospital of sichuan university

Finding imaging biomarkers which could predict the treatment response is quite important to help the selection of therapy and save health resource.

15:05
Discussion

15:09
Closing Remarks


Traditional Poster: Musculoskeletal

Exhibition Hall 1532-1562 Monday 16:15 - 18:15 (no CME credit)

Electronic Poster: Molecular Imaging

Exhibition Hall Monday 16:15 - 17:15 (no CME credit)

Electronic Poster: Contrast Mechanisms

Exhibition Hall Monday 16:15 - 17:15 (no CME credit)

Study Groups

MR Engineering Study Group

Room 323ABC Monday 16:15 - 18:15 (no CME credit)


Study Groups

Hyperpolarized Media MR Study Group

Room 317AB Monday 16:15 - 18:15 (no CME credit)


Educational Course

MR Physics & Techniques for Clinicians

Organizers: Marcus T. Alley, Ph.D. & Bernd Jung, Ph.D.

Room 316BC Monday 16:15 - 18:15 Moderators: Marcus Alley & Oliver Wieben

16:15
Spin Gymnastics 1 & 2
Walter Kucharczyk

This is non-mathematical overview of how MRI signals are generated, received, and encoded to form magnetic resonance images.

17:35
Image quality
Rafael O'Halloran1

1Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States

We will take a graphical approach to explore key concepts of image quality and discuss how sequence parameters affect image quality using the idea of k-space. Using cartoons and images we will demonstrate how resolution, field-of-view, and SNR can be understood in terms of k-space coverage and sampling. The implications on image quality will be discussed and demonstrated with example images.

18:15
Adjournment & Meet the Teachers


Educational Course

Multiple Sclerosis: State of the Field in 2017

Organizers: Alex L. MacKay, D.Phil.

Room 315 Monday 16:15 - 18:15 Moderators: Alex MacKay & Rebecca Samson

16:15
Pathology of Multiple Sclerosis
Bruce D. Trapp1

1Cleveland Clinic Foundation, Cleveland, OH, United States

We describe postmortem characteristics of individuals with multiple sclerosis that have spinal cord demyelination, cortical demyelination, and an absence of cerebral white matter demyelination. Despite the paucity of cerebral white matter demyelination, cortical neuronal loss, cortical atrophy, and cerebral white matter MRI abnormalities were similar to those found in multiple sclerosis brains with abundant cerebral white matter demyelination. We identify myelinated axonal swellings as the pathological correlate of the focal white matter MRI abnormalities and establish that degeneration of cortical neurons and cerebral white matter demyelination can be independent events in individuals with “myelocortical multiple sclerosis.”

16:45
Role of MR in MS Diagnosis & Management
Yukio Miki1

1Osaka City University, Japan

MR imaging has been established as the most important tool for diagnosing multiple sclerosis (MS). In addition, this modality is increasingly being used to monitor disease activity, disease progression and therapeutic effects, and is therefore now recognized as an “imaging biomarker” for MS. Furthermore, MR imaging is also useful for diagnosing the side effects of pharmacotherapies. This lecture focuses on the role of MR imaging in the diagnosis and management in MS.

17:15
Role of MR in MS Clinical Trials
Anthony Traboulsee1

1Neurology, University of British Columbia, Vancouver, BC, Canada


17:45
Advanced MR Techniques for Characterization of MS Pathology in Brain & Spine
Claudia Gandini Wheeler-Kingshott1

1Queen Square MS Centre, UCL Institute of Neurology, University College London, London, United Kingdom

In this teaching talk I will present how MRI can be used for investigating multiple sclerosis using advanced methods in the brain and spine.  Two distinct approaches are focusing on investigating microstructural characteristics or network-based damage.  Overall, the message will be that MRI is offering a widespread diversity of methods for assessing the multi-facet aspects of MS pathology.

18:15
Adjournment & Meet the Teachers


Educational Course

Pelvic MR Imaging

Organizers: Kathryn Fowler, M.D., Kartik Jhaveri, M.D., F.R.C.P.C., Lorenzo Mannelli, M.D., Ph.D. & Edwin J.R. van Beek, M.D., Ph.D., M.Ed., FRCR

Room 316A Monday 16:15 - 18:15 Moderators: Yuliya Lakhman & Gabriele Masselli

16:15
Gynecologic MRI: Prognostication, Treatment Planning & Treatment Response
Kaori Togashi1 and Aki Kido1

1Department of Radiology, Kyoto University, Kyoto, Japan

The lecture will include the clinical usages of recent MR techniques for the assessment of gynecologic cancer patients.

16:45
Prostate MRI Image Interpretation
Jurgen Futterer1

1Radboudumc


17:15
Rectal Cancer-Shifting Paradigms-Predicting Complete Pathologic Response & Facilitating Non-Operative Management
Marc Gollub

This lecture will illustrate and teach the important concepts regarding post treatment assessment of rectal cancer after chemo-radiotherapy. Limitations, a key evolving concept will be stressed. T2, DWI and DCE will be included. At least 2 suggested systems for post treatment evaluation will be illustrated with discussion of their relative merits: mrTRG grading system and DWI + endoscopy systems. In particular, the growing trend towards Watch and Wait, AKA, non-operative management or organ sparing approaches will be discussed.

17:45
MR Urography
Bobby Kalb

Recent advances in sequence design and image processing have allowed for the simultaneous acquisition of dynamic perfusion imaging data (necessary for modelling of quantitative renal function) and also high-quality anatomic images of the renal and urothelial system (necessary for tumor diagnostics). A streamlined protocol allows for a more comprehensive evaluation of patient with diseases of the renal and urothelial system, optimizing management decisions through non-invasive diagnostics. 

18:15
Adjournment & Meet the Teachers


Power Pitch

Pitch: Cutting Edge fMRI

Power Pitch Theater A - Exhibition Hall Monday 16:15 - 17:15 Moderators: Nicholas Blockley & Eric Wong (no CME credit)

237
16:15
Cortical depth-dependent fMRI: heterogeneity across tasks, across participants, across days and along the cortical ribbon
Laurentius Huber 1, Daniel A Handwerker1, Andrew Hall1, David C Jangraw2, Javier Gonzalez-Castillo1, Maria Guidi3, Dimo Ivanov4, Benedikt A Poser4, and Peter A Bandettini1

1SFIM, NIMH, Bethesda, MD, United States, 2NIMH, United States, 3Max Planck Institute for human cognitive and Brain science, Leipzig, Germany, 4MBIC, Maastricht University, Netherlands

238
16:15
Simultaneous GCaMP6 based fiber photometry and fMRI in rats
Zhifeng Liang1,2, Yuncong Ma2, and Nanyin Zhang2

1Institute of Neuroscience, Chinese Academy of Sciences, Shanghai, People's Republic of China, 2Department of Biomedical Engineering, Pennsylvania State University, PA, United States

239
16:15
Optogenetic resting-state fMRI reveals thalamic modulation of long-range sensory networks
Alex T. L. Leong1,2, Xunda Wang1,2, Russell W. Chan1,2, Leon C. Ho1,2, Yongrong Qiu1,2, Celia M. Dong1,2, and Ed X. Wu1,2

1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong, Hong Kong, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, Hong Kong

240
16:15
Global signal regression alters the correlation between resting-state BOLD fluctuations and EEG vigilance measures
Maryam Falahpour1, Alican Nalci1, Chi Wah Wong1, and Thomas Liu1

1Center for functional MRI, University of California San Diego, San Diego, CA, United States

241
16:15
What is the neurophysiological bases of resting state functional connectivity?
Hanbing Lu1, Saul Jaime2, Elliot A Stein1, Jose E Cavazos2, and Yihong Yang1

1National Institute on Drug Abuse, NIH, Baltimore, MD, United States, 2University of Texas Health Science Center at San Antonio, TX, United States

242
16:15
Functional Neuroimaging in the Brain using Magnetic Resonance Elastography
Samuel Patz1,2, Navid Nazari3, Paul E. Barbone4, Ben Fabry5, Dan Fovargue6, David Nordsletten6, and Ralph Sinkus6

1Radiology, Brigham & Women's Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Biomedical Engineering, Boston University, Boston, MA, United States, 4Mechanical Engineering, Boston University, Boston, MA, United States, 5Physics, University of Erlangen-Nuremberg, Erlangen, Germany, 6Biomedical Engineering, Kings College London, London, United Kingdom

243
16:15
Fully Automated Learning based Method for resting state fMRI Connectomics Analysis
Arathi Sreekumari1, Radhika Madhavan1, Rakesh Mullick1, Teena Shetty2, Pratik Mukherjee3, Joseph Masdeu4, Luca Marinelli5, and Suresh Emmanuel Joel1

1GE Global Research, Bangalore, India, 2Hospital for Special Surgery, New York, NY, United States, 3University of California, San Francisco, San Francisco, CA, United States, 4Houston Methodist, Houston, TX, Houston, TX, United States, 5GE Global Research, Niskayuna, NY, United States

244
16:15
A Multiband Multi-Echo Simultaneous ASL/BOLD Acquisition for Resting State Functional Connectivity
Alexander D. Cohen1, Andrew S. Nencka1, and Yang Wang1

1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States

245
16:15
The first two years of whole brain functional development can be separated into three distinct time periods
Weiyan Yin1 and Weili Lin2

1Department of Biomedical Engineering and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 2Department of Radiology and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

246
16:15
MRI Connectivity Predictors of Post-Surgical Seizure Outcome in Temporal Lobe Epilepsy
Victoria L Morgan1, Dario J Englot2, Adam W Anderson3, Bennett A Landman4, Ahmet Cakir4, Baxter P Rogers1, and Bassel Abou-Khalil5

1Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 2Neurosurgery, Vanderbilt University, Nashville, TN, United States, 3Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 4Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, United States, 5Neurology, Vanderbilt University, Nashville, TN, United States

247
16:15
CEST fMRI at ultra-high magnetic field
Tangi Roussel1, Lucio Frydman2, Denis Le Bihan1, and Luisa Ciobanu1

1NeuroSpin, Commisariat à l'Energie Atomique et aux Energies Alternatives, Gif-sur-Yvette, France, 2Department of Chemical Physics, Weizmann Institute of Science, Rehovot, Israel

248
16:15
EPI-signal fluctuations at the cardiac frequency: A tissue-specific quantification of inflow, displacement and potential oxygenation effects over the cardiac cycle.
Olivia Viessmann1 and Peter Jezzard1

1FMRIB Centre, Nuffield Department of Clinical Neurosciences, Oxford University, Oxford, United Kingdom

249
16:15
The global resting-state fMRI signal is associated with opposite changes at subcortical structures regulating arousal.
Xiao Liu1,2, Jacco A de Zwart2, David A Leopold3, and Jeff H Duyn2

1Biomedical Engineering, Pennsylvania State University, University Park, PA, United States, 2National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States, 3National Institute of Mental Health, National Institues of Health, MD, United States

250
16:15
Functional connectivity is globally altered by schizophrenia-linked genes
Garth J Thompson1,2, Karen Perez De Arce3, Basavaraju G Sanganahalli1,2,4, Stephen M Strittmatter5, Thomas Biederer3, and Fahmeed Hyder1,2,4,6

1Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States, 2Magnetic Resonance Research Center (MRRC), Yale University, New Haven, CT, United States, 3Neuroscience, Tufts University School of Medicine, Boston, MA, United States, 4Quantitative Neuroscience with Magnetic Resonance (QNMR) Core Center, Yale University, New Haven, CT, United States, 5Cellular Neuroscience, Neurodegeneration, and Repair Program, and Departments of Neurology and Neurobiology, Yale University School of Medicine, New Haven, CT, United States, 6Biomedical Engineering, Yale University, New Haven, CT, United States

251
16:15
Population Receptive Field Mapping of Human Somatosensory Cortex at 7 T
Michael Asghar1, Rosa Sanchez-Panchuelo1, Denis Schluppeck2, and Susan Francis1

1SPMIC, School of Physics, University of Nottingham, Nottingham, United Kingdom, 2School of Psychology, University of Nottingham, Nottingham, United Kingdom


Power Pitch

Pitch: Quantitation, Prediction & Machine Learning in the Brain

Power Pitch Theater B - Exhibition Hall Monday 16:15 - 17:15 Moderators: Konstantinos Arfanakis & Justin Haldar (no CME credit)

252
16:15
Machine Learning Based Diagnosis of Early Parkinson's Disease using QSM
Seon Lee1, Joon Yul Choi2, Jeehun Kim2, Sun Won Park3, and Jongho Lee2

1Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, Korea, Republic of, 2Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 3Department of Radiology, Seoul National University Boramae Medical Center, Seoul, Korea, Republic of

253
16:15
Reproduciblity of advanced MR metrics in a multi-site, multi-vendor study of mild traumatic brain injury
Andrew Scott Nencka1, Timothy Meier2, Yang Wang1, Yu-Chien Wu3, Brad Swearingen2, Robin Karr1, Melissa Koschnitzke2, Andy Saykin3, Michael McCrea2, and Kevin M Koch1

1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States, 3Radiology and Imaging Services, Indiana University, Indianapolis, IN

254
16:15
Characteristic Changes of Volume and Shape of Subcortical Structures in Obsessive-Compulsive Disorder
Lianqing Zhang1, Xinyu Hu1, Ming Zhou1, Lu Lu1, Xiaoxiao Hu1, and Xiaoqi Huang1

1Radiology Department, Huaxi MR Research Center (HMRRC),West China Hospital of Sichuan University, Chengdu, People's Republic of China

255
16:15
PARTIAL VOLUME ESTIMATION IN MULTIPLE SCLEROSIS LESION SEGMENTATION
Mário João Fartaria 1,2,3, Alexandra Şorega4, Tobias Kober1,2,3, Gunnar Krueger5, Cristina Granziera6,7, Alexis Roche1,2,3, and Meritxell Bach Cuadra2,3,8

1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 2Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 3Signal Processing Laboratory (LTS 5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Department of Radiology, Valais Hospital, Sion, Switzerland, 5Siemens Medical Solutions USA, Boston, MA, United States, 6Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 7Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 8Medical Image Analysis Laboratory (MIAL), Centre d'Imagerie BioMédicale (CIBM), Lausanne, Switzerland

256
16:15
Predictive cytological topography highlights regions of pathologically confirmed non-enhancing hypercellular tumor in glioblastoma patients
Sarah L Hurrell1, Elizabeth Cochran2, Sean D McGarry1, Amy L Kaczmarowski1, Jennifer Connelly3, Wade Mueller4, Scott D Rand1, Kathleen M Schmainda1, and Peter S LaViolette1

1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Pathology, Medical College of Wisconsin, Milwaukee, WI, United States, 3Neurology, Medical College of Wisconsin, Milwaukee, WI, United States, 4Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States

257
16:15
Radiogenomics of 201 WHO grade 2 and 3 gliomas
Manabu Kinoshita1,2, Hideyuki Arita2, Masamishi Takahashi3, Yoshitaka Narita3, Yuzo Terakawa2, Naohiro Tsuyuguchi2, Yoshiko Okita2, Masahiro Nonaka2, Shusuke Moriuchi2, Junya Fukai2, Shuichi Izumoto2, Kenichi Ishibashi2, Yoshinori Kodama2, Kanji Mori2, Koichi Ichimura3, and Yonehiro Kanemura2,4

1Neurosurgery, Osaka Medical Center for Cancer and Cardiovascular Diseases, Osaka, Japan, 2Kansai Molecular Diagnosis Network for CNS Tumors, Osaka, Japan, 3National Cancer Center Hospital, Japan, 4Osaka National Hospital, Osaka, Japan

258
16:15
Classification of Pediatric Brain Tumours using Apparent Diffusion Coefficient – a Multi-Centre Study
Jan Novak1,2, Niloufar Zarinabad1,2, Theodoros N Arvanitis3, Lesley MacPherson4, Daniel Rodriguez 5,6, Richard Grundy6, Dorothee Auer7,8, Tim Jaspan6, Shivaram Avula9, Laurence Abernethy9, Patrick Hales10, Ramneek Kaur10, Darren Hargrave11, Dipayan Mitra12, Simon Bailey13, Nigel Davies14, Christopher Clark10, and Andrew Peet2,15

1Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom, 2Oncology, Birmingham Children's Hospital, Birmingham, United Kingdom, 3Institute of Digital Healthcare, University of Warwick, Coventry, United Kingdom, 4Radiology, Birmingham Children's Hospital, Birmingham, United Kingdom, 5Division of Clinical Neuroscience, University of Nottingham, Nottingham, United Kingdom, 6The Children‘s Brain Tumour Research Centre, University of Nottingham, Nottingham, United Kingdom, 7Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 8Department of Neuroradiology, Nottingham University Hospital Trusts, Nottingham, United Kingdom, 9Radiology, Alder Hey Children’s NHF Foundation Trust, Liverpool, United Kingdom, 10Developmental Imaging and Biophysics Section, University College London, London, United Kingdom, 11Haematology and Oncology Department, Great Ormond Street Children's Hospital, London, United Kingdom, 12The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle, United Kingdom, 13Sir James Spence Institute of Child Health, Royal Victoria Infirmary, Newcastle upon Tyne, United Kingdom, 14Radiation Protection Services, University Hospitals Birmingham NHS Foundation Trus, Birmingham, United Kingdom, 15Institute of Cancer and Genomic Sciences, University of Birmingham, BIRMINGHAM, United Kingdom

259
16:15
Exploiting radiogenomics data for personalised prediction of glioblastoma
Paul Blakeley1,2, Chia-Feng Lu2,3,4, Fei-Ting Hsu2,5, Li-Chun Hsieh2,5, Yu-Chieh Jill Kao2,3, Huai-Lu Chen1,2, Ping-Huei Tsai2,3,5, Hua-Shan Liu2,6, Gilbert Aaron Lee1,2, and Cheng-Yu Chen2,3,5

1Department of Medical Research, Taipei Medical University Hospital, Taipei, Taiwan, 2Translational Imaging Research Center, College of Medicine, Taipei Medical University, Taipei, Taiwan, 3Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan, 4Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan, 5Department of Medical Imaging, Taipei Medical University Hospital, Taipei, Taiwan, 6School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan

260
16:15
Multiparameter MRI Predictors of Extreme Survival in Glioblastoma Multiforme
Natarajan Raghunand1, Olya Stringfield2, John Arrington3, and Robert A Gatenby3

1Cancer Imaging & Metabolism, Moffitt Cancer Center, Tampa, FL, United States, 2IRAT Shared Service, Moffitt Cancer Center, Tampa, FL, United States, 3Diagnostic Imaging & Interventional Radiology, Moffitt Cancer Center, Tampa, FL, United States

261
16:15
Multi-Site Concordance of DSC-MRI Analysis for Brain Tumors:  Results of a NCI Quantitative Imaging Network DSC-MRI Collaborative Project
Kathleen M Schmainda1, Melissa A Prah1, Scott D Rand2, Mark Muzi3, Swati D Rane3, Xiao Da4, Yi-Fen Yen5, Jayashree Kalpathy-Cramer5, Thomas L Chenevert6, Dariya Malyarenko6, Benjamin Hoff6, Brian Ross6, Yue Cao7, Madhava P Aryal7, Bradley Erickson8, Panagiotis Korfiatis8, Laura Bell9, Leland Hu10, and Christopher Chad Quarles9

1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Radiology, Medical College of Wisconsin, WI, United States, 3Radiology, University of Washington, WA, United States, 4Radiology, Massachusetts General Hospital, MA, United States, 5Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 6Radiology, University of Michigan, Ann Arbor, MI, United States, 7Radiation Oncology, University of Michigan, Ann Arbor, MI, United States, 8Mayo Clinic, MN, United States, 9Barrow Neurological Institute, Phoenix, AZ, United States, 10Radiology, Mayo Clinic, Phoenix, AZ, United States

262
16:15
Perfusion-supervoxels for DCE-MRI based tumor subregion assessment
Benjamin John Irving 1, Jolanta Mirecka1, Ana L Gomes2, Danny Allen2, Paul Kinchesh2, Veerle Kersemans2, Stuart Gilchrist2, Sean Smart2, Julia A Schnabel3, Sir J Michael Brady2, and Michael Chappell1

1Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom, 2Department of Oncology, University of Oxford, Oxford, United Kingdom, 3Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom

263
16:15
A New Combined Perfusion and Diffusion MRI Biomarker to Distinguish Pediatric High-Grade Glioma from Pilocytic Astrocytoma
Kathleen M Schmainda1, Melissa A Prah1, Jose A Palomares1, Mohit Maheshwari1, Sean Lew2, and Teresa Kelly1

1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States

264
16:15
A ranking of pipelines for optimal co-registration of anatomical and diffusion weighted images of the cervical spinal cord
Stephanie Alley1, Francesco Grussu1, Marios C. Yiannakas1, Hugh Kearney1, Olga Ciccarelli1, Ferran Prados1,2, Sébastien Ourselin2, and Claudia AM Gandini Wheeler-Kingshott1,3,4

1UCL Institute of Neurology, Queen Square MS Centre, University College London, London, United Kingdom, 2Translational Imaging Group, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 3Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 4Brain MRI 3T Mondino Research Center, C. Mondino National Neurological Institute, Pavia, Italy

265
16:15
Deep-Neural-Network based image diagnosis: comparing various image preprocessing strategies to achieve higher accuracy and understanding of the decision
Yasuhiko Tachibana1, Takayuki Obata1, Jeff Kershaw1, Yoko Ikoma1, Tokuhiko Omatsu1, Riwa Kishimoto1, and Tatsuya Higashi2

1Applied MRI Research, Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, Chiba, Japan, 2Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences, Chiba, Japan

266
16:15
Cerebellum Tissue Segmentation with Ensemble Sparse Learning
Jiawei Chen1, Li Wang1, and Dinggang Shen1

1Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States


Oral

Stroke & Vessel Wall Imaging

Room 310 Monday 16:15 - 18:15 Moderators: Linda Knutsson & William Copen

267
16:15
Alterations in brain structural connectivity in comatose cardiac arrest patients
Ona Wu1, Eric S. Rosenthal2, Gaston Cudemus-Deseda3, Brian L. Edlow2, Marjorie Villien1, Brittany B. Mills2, Joseph T. Giacino4, James L. Januzzi5, Ming Ming Ning2, W. Taylor Kimberly2, William A. Copen6, Pamela W. Schaefer6, and David M. Greer7

1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Neurology, Massachusetts General Hospital, Boston, MA, United States, 3Department of Cardiac Anesthesiology and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, United States, 4Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Charlestown, MA, United States, 5Department of Medicine, Cardiology Division, Massachusetts General Hospital, Boston, MA, United States, 6Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, 7Department of Neurology, Yale School of Medicine, New Haven, CT, United States

Cardiac arrest patients in coma after restoration of spontaneous circulation were prospectively studied to determine whether variability in structural connectivity can discriminate patients likely to recover consciousness from those who will not. Compared to healthy controls, cardiac arrest patients overall had significantly  lower values in the following structural connectivity parameters: global efficiency, clustering coefficient, and degree. Cardiac arrest patients who failed to recover alertness had a significantly lower global clustering coefficient compared to patients who woke up. Alterations in structural connectivity may play an important role in predicting recovery and guiding patient management decisions in comatose cardiac arrest patients.

268
16:27
ASPECTS Based Reperfusion Status on Arterial Spin Labeling Is Associated with Clinical Outcome in Acute Ischemic Stroke Patients
Samantha J. Ma1, Songlin Yu2, David Liebeskind3, Dandan Yu4, Ning Li5, Xingfeng Shao1, Jeffrey Saver6, Noriko Salamon7, and Danny JJ Wang1

1Neurology, University of Southern California, Los Angeles, CA, United States, 2Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China, 3Neurovascular Imaging Research Core and Department of Neurology, UCLA, Los Angeles, CA, United States, 4Neuro-Intensive Care Unit, Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China, 5Biomathematics, UCLA, Los Angeles, CA, United States, 6Neurology, UCLA, Los Angeles, CA, United States, 7Radiology, UCLA, Los Angeles, CA, United States

An automatic scoring system for assessing reperfusion status based on arterial spin labeled (ASL) perfusion MRI was developed and evaluated for acute ischemic stroke patients who received thrombolysis and/or endovascular treatment. Reperfusion injury is considered to have the same detrimental effects as non-reperfusion, and we applied the ASPECTS model to address the existence of heterogeneity of hypo- and hyper-perfusion despite vessel recanalization. Our newly devised reperfusion scoring system is highly associated with patient functional outcome and provides a useful tool to complement other clinical methods for managing corresponding strategies after treatment.

269
16:39
Estimation of microstructure measures in stroke subjects with a rapid DSI acquisition
Ganesh Adluru1, Kyler Hodgson2, Jennifer Majersik3, Lorie Richards4, and Edward DiBella1,2

1Radiology and Imaging Sciences, University of Utah, Salt lake city, UT, United States, 2Bioengineering, University of Utah, Salt lake city, UT, United States, 3Neurology, University of Utah, Salt Lake City, UT, United States, 4Occupational Therapy, University of Utah, Salt Lake City, UT, United States

Diffusion spectrum imaging (DSI) is a promising tool for estimation of white-matter fiber structure.  DSI also allows for model-based estimation of several microstructure measures.  However, the long data acquisition time associated with DSI limits its application in stroke patients.  Here we combine a simultaneous multi-slice acquisition with an undersampled q-space acquisition and dictionary reconstruction to accelerate DSI.  The two complementary acceleration schemes allow for a rapid 5.5 minute DSI acquisition in stroke subjects.  We used generalized fractional anisotropy and microstructure measures computed from the NODDI model to evaluate the rapid DSI framework in stroke patients.

270
16:51
Highly sensitive pH mapping during ischemia using Total Fast-exchanging Protons (TFP) imaging
Jiadi Xu1, Kathryn Schunke1,2, Lin Chen1,3, Xiang Xu1, Yuguo Li1, Guanshu Liu1, Shuhui Cai3, Raymond C Koehler2, Jiangyang Zhang4, Peter C. M. van Zijl1, and Nauder Faraday2

1kirby Center / Radiology Department, Kennedy Krieger Institute / Johns Hopkins Univeristy, baltimore, MD, United States, 2Department of Anesthesiology/Critical Care Medicines, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Electronic Science, Xiamen University, Xiamen, People's Republic of China, 4Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, New York, NY, United States

Ischemia in a mouse stroke model was assessed by pH mapping using the on-resonance variable-delay multi-pulse (onVDMP) CEST scheme. In the method, an on-resonance binomial pulse train is applied at the water resonance to achieve high labeling efficiency for fast-exchanging protons. Since the CEST signal intensity for the total fast-exchanging protons is far greater than that of amide protons, high detection sensitivity is expected. The final stroke region determined by the method was verified by histologic analysis.

271
17:03
In-vivo Detection of Remote Neurodegeneration within Thalamic Nuclei after Stroke Using Iron Quantification with R2* Mapping
Grégory Kuchcinski1, Fanny Munsch2, Renaud Lopes1, Jason Su3, Antoine Bigourdan2, Brian K. Rutt3, Vincent Dousset2, Igor Sibon4, and Thomas Tourdias2

1Neuroradiology, Univ. Lille, CHU Lille, Lille, France, 2Neuroimagerie diagnostique et thérapeutique, Université de Bordeaux, CHU de Bordeaux, France, 3Richard M. Lucas Center for Imaging Radiology Department, Stanford University, United States, 4Unité neurovasculaire, Université de Bordeaux, CHU de Bordeaux, France

In stroke patients, remote thalamic alterations including iron deposition have been reported and attributed to the disruption of cortico-thalamic projections. Nevertheless, secondary thalamic degeneration has never been quantified so far in humans at the nucleus scale and its clinical impact is unknown. By using R2* mapping, we demonstrated (i) that iron accumulates with a focal distribution especially within the medio-dorsal nucleus and the pulvinar, (ii) that such focal thalamic iron accumulation is strongly linked to the initial stroke location, consistent with the known connectivity between thalamic nuclei and cortico-subcortical areas and (iii) is significantly impacting specific cognitive and emotional functions.

272
17:15
Evaluation of CSF Suppression Techniques for Intracranial Vessel Wall Imaging
Petrice M. Cogswell1, Jeroen C.W. Siero2,3, Guillaume Gilbert4, Taylor Davis1, Allison O. Scott1, Katie Lants1, Helen B. Mahany1, Jennifer M. Watchmaker1, Jeroen Hendrikse2, and Manus J. Donahue1

1Vanderbilt University Medical Center, Nashville, TN, United States, 2Radiology, University Medical Center Utrecht, Netherlands, 3Spinoza Center for Neuroimaging, Amsterdam, Netherlands, 4MR Clinical Science, Philips Healthcare Canada, Markham, Canada

This work compares vessel wall SNR and CSF suppression from multiple approaches to determine optimal imaging parameters for intracranial VWI at the clinically-available field strength of 3T. T1-weighted TSE acquisition using variable refocusing angle pulse-train and DANTE preparation provides for blood and CSF suppression while maintaining adequate vessel wall SNR. The use of a variable refocusing pulse train with sweep of 40-120° provides improved performance compared to a sweep of 50-120°. Variation of the DANTE flip angle showed that a flip angle of 8° provides good CSF suppression with minimal SNR loss compared to flip angles of 10 and 12°. 

273
17:27
Visualization of Carotid Plaque: T1-SPACE vs. Compressed Sensing T1-SPACE
Sachi Okuchi1, Yasutaka Fushimi1, Tomohisa Okada2, Akira Yamamoto1, Tsutomu Okada1, Takayuki Yamamoto1, Katsutoshi Murata3, Yuta Urushibata3, and Kaori Togashi1

1Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 2Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 3Siemens Japan K.K., Tokyo, Japan

Compressed sensing (CS) algorithm has been brought into MRI. CS realizes iterative reconstruction of images from incoherently under-sampled data, which leads to shorter acquisition time. A 3D T1-weighted fast spin echo (T1-FSE) scan has been often used for plaque imaging. We compared visualization of carotid plaque and internal carotid artery (ICA) between 3D T1-FSE imaging with SPACE and with a prototype CS SPACE. In the result, CS-T1-SPACE revealed an equivalent visualization compared with T1-SPACE in evaluation of carotid plaque and ICA. CS-T1-SPACE would be useful for the visualization of carotid plaque and ICA.

274
17:39
High-resolution MR vessel wall imaging after intra-arterial treatment for acute ischemic stroke
Arjen Lindenholz1, Irene C van der Schaaf1, Anita A Harteveld1, Bart H van der Worp2, Anja G Van der Kolk1, and Jeroen Hendrikse1

1Radiology, UMC Utrecht, Utrecht, Netherlands, 2Neurology and Neurosurgery, UMC Utrecht, Utrecht, Netherlands

Intra-arterial treatment (IAT) may damage the arterial vessel wall, which might lead to recurrent thrombosis and distal embolism.In this study the intracranial vessel wall was evaluated in patients with acute ischemic stroke after IAT using high-resolution vessel wall MRI. Thirteen patients underwent both 3T and 7T pre- and postcontrast vessel wall MRI to detect contrast-enhancing lesions. Significantly more enhancing vessel wall lesions and concentric enhancing lesions ipsilateral to IAT were found compared to the contralateral side. The higher number of concentric enhancing lesions ipsilateral to the IAT may be related to the presence of the thrombus and the performed IAT.

275
17:51
Determinants of Symptomatic Intracranial Atherosclerotic Plaque Enhancement on 3D DANTE T1-SPACE Vessel Wall MRI and Relationship to Recurrent Stroke or TIA
Adam de Havenon1, Nabeel Chauhan1, Seong-Eun Kim2, J. Rock Hadley2, Ka-Ho Wong1, David Tirschwell3, Jennifer J. Majersik1, Dennis Parker2, and J. Scott McNally2

1Neurology, University of Utah, Salt Lake City, UT, United States, 2Radiology, University of Utah, Salt Lake City, UT, United States, 3Neurology, University of Washington, Seattle, WA, United States

Intracranial atherosclerotic enhancement on vessel wall MRI is associated with with symptomatic plaque, but there is insufficient data on the clinical characteristics associated with atherosclerotic enhancement on T1-weighted vessel wall MRI sequences or the relationship between atherosclerotic enhancement and recurrent stroke or TIA.  Our study demonstrates that intracranial atherosclerotic plaque enhancement detected on 3T vessel wall MRI with 3D DANTE T1-SPACE accurately predicts a high risk of early stroke or TIA recurrence, with a potentially modifiable risk factor: elevated serum hemoglobin A1c.

276
18:03
Characteristics of Morphology, Compositions and Distribution of Carotid Artery Atherosclerotic Plaques in Asymptomatic Elderly Population: A Three-Dimensional, Multicontrast Magnetic Resonance Vessel Wall Imaging Study
Ying Cai1, Le He2, Chun Yuan2,3, Huijun Chen2, Qiang Zhang2, Rui Li2, Cheng Li4, and Xihai Zhao2

1Department of Radiology, Yangzhou First People’s Hospital, Yangzhou, People's Republic of China, 2Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, People's Republic of China, 3Department of Radiology, University of Washington, Seattle, United States, 4Department of Radiology, Zhongda Hospital, Medical School of Southeast University, Nanjing, People's Republic of China

This study investigated the morphology, compositions and distribution of carotid artery atherosclerotic plaques in asymptomatic elderly population using 3D multicontrast MR vessel wall imaging. The atherosclerotic plaques were found to be prevalent (62.1%) and more than 12% subjects had high risk plaques (HRP) in this study population. Among carotid arteries without luminal stenosis, the prevalence of plaque and HRP was 43.2% and 8.3%, respectively. Benefiting from the 3D vessel wall imaging with large longitudinal coverage, near 14% of subjects had plaques in either distal ICA or proximal CCA segment which cannot be captured by traditional 2D vessel wall imaging.


Oral

Microstructure

Room 311 Monday 16:15 - 18:15 Moderators: Susie Huang & Itamar Ronen

277
16:15
Time dependence of microscopic anisotropy in the mouse brain measured with double oscillating diffusion encoding (DODE) MRI
Andrada Ianus1,2, Sune N. Jespersen3,4, Daniel C. Alexander2, Ivana Drobnjak2, and Noam Shemesh1

1Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal, 2Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 3Center of Functionally Integrative Neuroscience (CFIN) and MINDLab, Clinical Institute, Aarhus University, Aarhus, Denmark, 4Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark

Time dependence of microscopic anisotropy measured with diffusion MRI can reveal the cellular eccentricity at different lengths scales, which is an important step towards the goal of non-invasive characterization of tissue microstructure. Diffusion sequences which vary the gradient orientation within one measurement can probe microscopic anisotropy, regardless of the macroscopic tissue configuration. Here we employ the newly proposed Double Oscillating Diffusion Encoding (DODE) sequences, consisting of two independent trains of oscillating gradients which can have different orientations, in order to measure the time dependence of microscopic anisotropy in the mouse brain.  

278
16:27
Comparison of Double Diffusion Encoding and NODDI
Grant Kaijuin Yang1,2, Qiyuan Tian1,2, Christoph Leuze2, and Jennifer McNab2

1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States

In this study, we compare fractional eccentricity (FE) measured by double diffusion encoding (DDE) to NODDI estimates of neurite density and orientation distribution in six normal subjects and one subject with benign T2 hyperintensities. The results of the comparison support the hypothesis that FE is independent of fiber orientation and correlates strongly with intracellular volume fraction.

279
16:39
Diffusion tensor distribution imaging
Daniel Topgaard1

1Department of Chemistry, Lund University, Lund, Sweden

Diffusion MRI is an excellent method for detecting subtle changes of brain microstructure, but rarely gives unambiguous information about whether the observations originate from variations in cell density, size, shape, orientation, or any combination thereof. Capitalizing on our recent pulse sequences with data acquisition as a function of both the spherical and the conventional linear components of the diffusion encoding tensor b, we here introduce and demonstrate a method to quantify the composition of a heterogeneous voxel as a multidimensional distribution of diffusion tensors where the information about size, shape, and orientation is cleanly separated in the respective dimensions of the distribution. When transferred to a neuroimaging context, our method will allow for unconstrained estimation of fiber bundle orientation distributions and radial and axial diffusivities, as well as fractions of extracellular water and cerebrospinal fluid.

280
16:51
Validation of the two-pool diffusion model in post-mortem white matter using the CLARITY method
Jakob Georgi1, Markus Morawski2, Carsten Jäger1,2, and Harald E. Möller1

1Max-Planck-Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Paul-Flechsig-Institute for Brain Research, Leipzig, Germany

Water diffusion in tissues is known to be non-Gaussian. Moreover, two different water regimes have been found in brain tissue and assigned to a bulk-like compartment and water in contact with macromolecules. Here, we investigate the influence of membranes in post-mortem white matter, which are assumed to be responsible for the second pool observed in MR-diffusion measurements. Using a newly developed CLARITY method, which removes lipids from brain tissue while keeping the brain structure intact, we found that the slow compartment vanished while the mobility of the fast pool increased, which directly demonstrates the influence of membranes on water dynamics.

281
17:03
Intra- and extra-axonal axial diffusivities in the white matter: which one is faster?
Ileana Ozana Jelescu1, Nicolas Kunz1, Analina Raquel Da Silva1, and Rolf Gruetter1

1Centre d'Imagerie Biomédicale, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

The typical two-compartment model of diffusion in the white matter is associated with two plausible solutions, the choice between which relies on whether intra-axonal or extra-axonal axial diffusivity is faster. Here we use an intracerebroventricular perfusion of gadolinium in the rat brain to suppress the extra-cellular signal. Diffusion measurements before and after perfusion show a mild increase in axial diffusivity post-perfusion, which suggests intra-axonal diffusivity is higher than extra-axonal axial diffusivity. This can help solve the current indetermination in parameter estimation and allow diffusion models to regain their claimed specificity.

282
17:15
Universal power-law scaling of water diffusion in human brain defines what we see with diffusion MRI
Jelle Veraart1, Els Fieremans1, and Dmitry S Novikov1

1Center for Biomedical Imaging, New York University School of Medicine, New York City, NY, United States

Here we identify a universal power-law scaling behavior of the diffusion MRI signal on a clinical scanner. This specific functional form provides a defining signature of water confined within narrow sticks establishing that exchange between intra- and extra-axonal water is not relevant, and the fraction of fully restricted water is negligible in the clinically accessible regime. The observed scaling for the first time in vivo validates the key ingredient specific to the microstructural models of MRI signal from neuronal tissue and enables the in vivo quantification of  intra-axonal properties. 

283
17:27
Multi-compartment microscopic diffusion imaging with oscillating gradients: simulation validation and application in multiple sclerosis patients
Hua Li1,2, Enrico Kaden3, Daniel C. Alexander3, John C. Gore1,2, Bagnato R. Francesca1,2,4, and Junzhong Xu1,2

1Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 2Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States, 3Centre for Medical Image Computing, University College London, United Kingdom, 4Neuroimmunology Division/Neuroimaging Unit, Department of Neurology, Vanderbilt University, Nashville, TN, United States

Microscopic diffusion imaging using spherical mean technique (SMT) and oscillating gradient spin echo (OGSE) was applied in multiple sclerosis patients, along with computer simulation validation. The results suggested that there are significant decreases of axon volume fraction in multiple sclerosis patients compared with contralateral normal tissue.

284
17:39
Comparing in vivo MR g-ratio mapping methods: accuracy and precision at the group level
Isabel Ellerbrock1 and Siawoosh Mohammadi1,2,3

1Department of Systems Neuroscience, Medical Center Hamburg-Eppendorf, Hamburg, Germany, 2UCL Institute of Neurology, University College London, London, United Kingdom, 3Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

The g-ratio, the ratio between the inner and outer diameter of a myelinated axon, is of great neuroscientific interest because it is a relative measure of axonal myelination and functionally linked to conduction velocity. In vivo g-ratio mapping has been recently suggested using a flexible biophysical model that relates the microscopic g-ratio, only accessible by histology, to MRI biomarkers for the myelin and fiber compartment. This study investigates the question which MRI biomarker is optimal for MR g-ratio mapping concerning precision (determined by scan-rescan reproducibility) and accuracy (assessed by comparability to previous in vivo and the ex vivo results). 

285
17:51
Microstructure imaging from a dictionary of Monte Carlo signals: assessment on a rat model of Wallerian degeneration
Gaëtan Rensonnet1, Benoît Scherrer2, Simon K. Warfield2, Benoît Macq1, and Maxime Taquet1,2

1ICTEAM, Université catholique de Louvain, Louvain-la-Neuve, Belgium, 2Computational Radiology Laboratory, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States

We estimate microstructural features of the nervous tissues from diffusion-weighted MRI by using sparse optimization techniques on a dictionary of pre-computed Monte Carlo signals, which more faithfully describe the complex diffusion process in the extra-axonal space of the white matter. The method is validated on synthetic data including single and crossing fibers and on an in vivo rat spinal cord model of Wallerian degeneration. We obtain in vivo microstructural estimates that can be directly related to histological evidence whereas the traditional closed-form formula models DIAMOND and NODDI yield results that are more challenging to interpret physically.

286
18:03
Diffusion compartment imaging reveals microstructural injuries in a mouse model of mild traumatic brain injury
Benoit Scherrer1, Jianhua Qiu2, Jumana Hashim2, Onur Afacan1, Yaotang Wu1, Michael Marcotrigiano1, Simon K Warfield1, and Rebekah Mannix2

1Department of Radiology, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States, 2Division of Emergency Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States

Although about 30% of patients with mild traumatic brain injury (mTBI) suffer prolonged symptoms after injury1, conventional anatomic magnetic resonance imaging (MRI) has not proven useful in diagnosing or predicting outcomes after mTBI. In this work we evaluated a novel technique, diffusion compartment imaging (DCI), with a mouse model of mTBI that enables study of mTBI under controlled conditions. We compared DCI and diffusion tensor imaging (DTI) changes to histopathological observations in two injury conditions (with and without persistent functional deficits). Our results suggest that, unlike DTI, DCI detects specific evidence of traumatic axonal injury. Moreover, DCI detects changes only in mice with persistent functional deficits.


Oral

Velocity & Flow Imaging: Clinical Research

Room 312 Monday 16:15 - 18:15 Moderators: Jeremy Collins & Tino Ebbers

287
16:15
Multi-year 4D flow MRI Follow-Up Study of Bicuspid and Tricuspid Aortic Valve patients and Association between Wall Shear Stress and Aortic Diametric Growth
Ozair Rahman1, Alex Barker2, Carmen Blanken2, Emilie Bollache2, Michael Rose3, Pim Van Ooji2, Jeremy Collins2, James Carr2, Chris Malaisrie4, Patrick McCarthy4, and Michael Markl2

1Radiology, Northwestern University, Chicago, IL, United States, 2Radiology, Northwestern University, 3Radiology, Ann & Robert H. Lurie Children's Hospital of Chicago, 4Cardiac Surgery, Northwestern University

Patients with Bicuspid Aortic Valve (BAV) are at increased risk of developing aortopathy compared to Tricuspid Aortic Valve (TAV) patients. However, there is imited data presenting the development of pathophysiologic changes taking place over multi year time period. Our study attempts to quantify the changes that take place from baseline and follow-up scans to help us better understand this process.

288
16:27
3D Linear Regression Analysis Reveals Relationships of 4D flow MRI-derived Aortic Dimensions with Age, Gender and Wall Shear Stress in Patients with Aortopathy
Pim van Ooij1,2, Jeremy D. Collins2, Paul W. M. Fedak3,4, Aart J. Nederveen1, James C Carr2, Michael Markl2,5, and Alex J. Barker2

1Radiology, Academic Medical Center, Amsterdam, Netherlands, 2Radiology, Northwestern University, Chicago, IL, United States, 3Division of Surgery-Cardiac Surgery, Northwestern University, Chicago, IL, 4Cardiac Sciences, University of Calgary, Calgary, Canada, 5Biomedical Engineering, Northwestern University, Chicago, IL, United States

In two groups of patients with bicuspid valves (BAV) and with tricuspid valves with dilated aortas (TAV), 3D correlation coefficient r maps were created to investigate linear relationships between 3D aortic diameter maps and 3D wall shear stress maps (WSS), with age and gender as co-variables. The dependence of diameter on gender was higher for TAV, whereas the dependence of diameter on age was higher for BAV patients. With the addition of WSS to the model, r increased slightly for both groups. In general, r was significantly higher for TAV: BAV mediated aortopathy is suspected to have genetic associations.

289
16:39
Multiparametric Assessment of Patients with Aortic Stenosis using Multipoint 4D Flow MRI - Correlation with Cardiac Biomarkers
Alexander Gotschy1,2, Christian Binter1, Robert Manka2, and Sebastian Kozerke1

1Institute for Biomedical Engineering, University & ETH Zurich, Zurich, Switzerland, 2Department of Cardiology, University Hospital Zurich, Zurich, Switzerland

Various flow characteristics, such as Turbulent Kinetic Energy (TKE), flow displacement or jet angle, derived from 4D Flow MRI, have been used to investigate the hemodynamic effects of aortic stenosis (AS). However, the predictive value of these flow parameters is still unknown. Therefore, we investigated the correlation between multiple flow parameters and cardiac biomarkers which are known to provide prognostic information on the progression and outcome of AS. Our results revealed that MRI-based TKE and peak velocity significantly correlate with NT-proBNP, implying potential relevance of these imaging parameter for future risk stratification of AS patients.

290
16:51
Blood flow characterization in sigmoid-sinus using 4D-Flow MR among patients with pulsatile tinnitus
Yunduo Li1, Le He1, Xiangyu Cao2, Xianling Wang3, Shubin Chen4, Huijun Chen1, Rui Li1, and Chun Yuan1,5

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, People's Republic of China, 2Neurosurgery department of the general hospital of PLA, Beijing, People's Republic of China, 3Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China, 4Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, People's Republic of China, 5Department of Radiology, University of Washington, Seattle, United States

Pulsatile tinnitus (PT) is suspected to be associated with abnormal hemodynamics in sigmoid-sinus. In this study, we used 4D-Flow MRI to characterize blood flow in sigmoid-sinus among patients with pulsatile tinnitus and demonstrated that high blood velocity in sigmoid-sinus might be an authentic marker of PT. This study may provide more information for diagnosis and treatment of pulsatile tinnitus, especially for patients with PT of venous origin.

291
17:03
4-Dimensional Phase-Contrast Magnetic Resonance Imaging of Left Atrial Stasis in Patients with Paroxysmal Atrial Fibrillation: A Comparative Study of Patients Pre- and Post-Ablation
Julio Garcia1, Michael S Bristow2,3, Carmen Lydell3,4, Andrew G Howarth2,3, Bobby Heydari2,3, Frank S Prato5, Maria Drangova5, Rebecca Thornhill6, Pablo Nery7, Stephen Wilton3, Allan Skanes8, and James White2,3

1Department of Cardiac Sciences - Stephenson Cardiac Imaging Centre, University of Calgary, Calgary, AB, Canada, 2Department of Medicine, University of Calgary, Calgary, AB, Canada, 3Stephenson Cardiac Imaging Centre, Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada, 4Diagnostic Imaging, University of Calgary, Calgary, AB, Canada, 5Medical Imaging, University of Western Ontario, London, ON, Canada, 6Diagnostic Imaging, The Ottawa Hospital, Ottawa, ON, Canada, 7Electrophysiology, University of Ottawa, Ottawa, ON, Canada, 8Department of Medicine, University of Western Ontario, London, ON, Canada

This study may be of interest for clinicians and clinical researchers who study atrial diseases. This study demonstrates that 4D flow-derived LA 3D stasis is clinically feasible and it may be useful for characterize differences between pre- and post-ablation patients.

292
17:15
4D flow MRI based quantification of regional stiffness in the thoracic aorta in stroke patients compared to transesophageal echocardiography
Thomas Wehrum1, Felix Günther2, Anja Hennemuth3, Johann Drexl3, Hanieh Mirzaee3, and Andreas Harloff1

1Department of Neurology and Neurophysiology, University Medical Center Freiburg, Freiburg, Germany, 2Department of Cardiology and Angiology, University Medical Center Freiburg, Freiburg, Germany, 3Fraunhofer MEVIS, Bremen, Germany

Our purpose was to quantify regional stiffness in the aorta in stroke patients using 4D flow MRI based pulse-wave-velocity quantification in comparison with stiffness quantification using parameters based on transesophageal echocardiography (TEE). MRI and TEE based stiffness parameters were highly correlated and increased stiffness as measured using 4D flow MRI and TEE was associated with presence of atherosclerosis. Accordingly, we were able to predict the presence of atherosclerotic lesions with high sensitivity and specificity using both, 4D flow MRI and TEE. Hence, especially non-invasive 4D flow MRI can be used in future longitudinal studies investigating early development of atherosclerotic lesions.

293
17:27
Increased aortic wall shear stress and wall shear stress gradient in patients with an anatomically shaped sinus prosthesis using 4D Flow MRI
Victoria Schultz1, Thekla Oechtering1, Malte Sieren1, Michael Scharfschwerdt2, Anja Hennemuth3, Markus Hüllebrand3, Hans-Hinrich Sievers2, Jörg Barkhausen1, and Alex Frydrychowicz1

1Clinic for Radiology and Nuclear Medicine, University Hospital Schleswig-Holstein, Lübeck, Germany, 2Department of Cardiac and Cardiothoracic Vascular Surgery, University Hospital Schleswig-Holstein, Lübeck, Germany, 3Mevis, Fraunhofer, Bremen, Germany

Patients with anatomically shaped sinus prosthesis have been shown to have near physiological hemodynamics in the aortic bulb but altered flow characteristics distal to the prosthesis. The aim of this study was to compare the aortic wall shear of 12 patients with sinus prosthesis with 12 age-matched volunteers using 4D flow sensitive MRI. The wall shear stress analysis in 8 analysis planes revealed a tendency towards decreased WSS in the region of the prosthesis and increased WSS values distal to the prosthesis. Interestingly, the WSS gradient per plane and segmental WSS distal to the prosthesis were increased throughout the patients.

294
17:39
Post-surgical changes in aortic wall shear stress patterns in patients with aortopathy: a follow-up 4D flow MRI study
Emilie Bollache1, Paul W.M. Fedak2,3, Pim van Ooij4, Ozair Rahman1, Alex Hong1, Eric J. Keller1, S Chris Malaisrie3, Patrick M. McCarthy3, James C. Carr1, Jeremy D. Collins1, Michael Markl1,5, and Alex J. Barker1

1Department of Radiology, Northwestern University, Chicago, IL, United States, 2Department of Cardiac Sciences, University of Calgary, Calgary, AB, Canada, 3Division of Surgery-Cardiac Surgery, Northwestern University, Chicago, IL, United States, 4Department of Radiology, Academic Medical Center, Amsterdam, Netherlands, 5Department of Biomedical Engineering, Northwestern University, Chicago, IL, United States

Our purpose was to follow up post-surgical changes in peak wall shear stress (WSS) and extent of at-risk tissue using 4D flow MRI in 34 aortopathy patients. Highly variable changes between pre- and post-surgery were found according to the intervention or replaced aortic valve type, while WSS patterns were unchanged in 20 other patients who did not undergo surgery. The reproducible 4D flow MRI WSS indices should be studied in larger cohorts and compared with patient outcome to potentially detect risk of future events in aortopathy patients, while optimizing the extent of resected aortic tissue.

295
17:51
4D Flow MRI during Exercise in Prematurely Born Adults and Children
Jacob Macdonald1, Arij Beshish2, Kristin Haraldsdottir2, Marlowe Eldridge2, Oliver Wieben1,3, and Christopher J Francois3

1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Pediatrics, University of Wisconsin - Madison, Madison, WI, United States, 3Radiology, University of Wisconsin - Madison, Madison, WI, United States

Preterm birth can result in impaired development of lung airways and vasculature, but the long term implications are unclear. With this in mind, we performed 4D flow imaging in the aorta and pulmonary artery during exercise at 70% maximal power in both children and adults who had been born prematurely to identify any differences in flow characteristics relative to healthy controls. Although no statistically significant differences were identified between our groups, some preterm cohorts showed increased cardiac output and mean velocity. The significance of these trends should become apparent as we continue to recruit subjects and increase our statistical power.

296
18:03
k-t Accelerated Dual-Venc 4D flow MRI for Improved Flow Visualization in Pediatric Patients with Congenital Heart Disease
Liliana Ma1,2, Michael Rose3, Ozair Rahman1, Kelly Jarvis1,2, Joshua Robinson1,3, Cynthia Rigsby1,3,4,5, Michael Markl1,2,3,4,5, and Susanne Schnell1

1Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, IL, United States, 2Department of Biomedical Engineering, Northwestern University, Chicago, IL, United States, 3Department of Medical Imaging, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, United States, 4Department of Pediatrics, Northwestern University, Feinberg School of Medicine, Chicago, IL, United States, 5Division of Cardiology, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, United States

This study explores the potential of using dual-velocity encoding 4D flow MRI for in-vivo assessment of complex blood flow patterns in patients with diverse presentations of congenital heart disease. 


Oral

Motion Correction: All Brain

Room 313A Monday 16:15 - 18:15 Moderators: Jacco de Zwart & Emine Saritas

297
16:15
Prediction of Motion Induced Image Degradation Using a Markerless Motion Tracker
Rasmus Munch Olsen1, Helle Hjorth Johannesen2, Otto Mølby Henriksen2, Lisbeth Marner2, and Oline Vinter Olesen1,2,3

1DTU Compute, Technical University of Denmark, Lyngby, Denmark, 2Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark, 3TracInnovations, Ballerup, Denmark

In this work a markerless motion tracker, TCL2, is used to predict image quality in 3D T1 weighted MPRAGE MRI brain scans. An experienced radiologist scored the image quality for 172 scans as being usable or not usable, i.e. if a repeated scan was required. Based on five motion parameters, a classification algorithm was trained and an accuracy for identifying not usable images of 95.9% was obtained with a sensitivity of 91.7% and specificity of 96.3%. This work shows the feasibility of the markerless motion tracker for predicting image quality with a high accuracy.

298
16:27
Towards a prospective motion correction for the clinic: increasing the accuracy and robustness of collapsed FatNav
Enrico Avventi1,2, Henric Ryden1, Ola Norbeck1,2, and Stefan Skare1,2

1Neuroradiology, Karolinska University Hospital, Stockholm, Sweden, 2Karolinska Institutet, Stockholm, Sweden

Collapsed FatNav is a navigator for prospective motion correction which samples the signal from the fat around the skull collapsed along three orthogonal directions with consecutive EPI readouts. The six rigid body motion parameters can be obtained by performing a 2D/3D projection-based registration. In this work we have greatly improved collapsed FatNav's accuracy and precision. Additionally, by combining with PROPELLER's retrospective correction, we can obtain image quality typical of images acquired without motion.

299
16:39
A Novel Approach to Prospective Motion Correction Using Multi-Slice-to-Volume Registration
Daniel Christopher Hoinkiss1 and David Andrew Porter1

1MR Physics, Fraunhofer MEVIS, Bremen, Germany

This study introduces a novel 2D-EPI-navigated prospective motion correction technique to correct for in-plane and through-plane motion that establishes a flexible steady-state during the measurement. It utilizes a rigid-body multi-slice-to-volume registration using three parallel and well-separated EPI slices. The technique was evaluated using a well-defined motion protocol with translations up to 13mm and rotations up to 9°, which was executed by a volunteer. Results show a substantial reduction of motion parameters to below ±0.5mm/±0.5° and an increase in overall image quality in comparison to a no-motion scan. The navigator acquisition scheme can be adapted for use with a range of multi-shot 2D sequences to allow EPI navigators to be acquired with limited effect on the overall scan time or the contrast-to-noise ratio.

300
16:51
Active-marker motion detection with real-time field tracking in the laboratory frame
Alexander Aranovitch1, Maximilian Haeberlin1, Simon Gross1, Benjamin Dietrich1, Lars Kasper1, Bertram Wilm1,2, David Otto Brunner1, Thomas Schmid1, and Klaas Pruessmann1

1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zurich, Switzerland, 2Skope Magnetic Resonance Technologies, Zurich, Switzerland

We introduce a technique to track NMR markers without a prior calibration measurement. This significantly improves the ease of implementation of field probe based prospective motion correction (PMC). We propose to use rigidly mounted NMR field probes in the laboratory frame to perform concurrent field measurements, which are used for real-time tracking of head-mounted field probes. The proposed method achieves very good tracking performance and is demonstrated in-vivo with PMC of high-resolution brain scans.

301
17:03
Motion correction in volumetric brain imaging based on DISORDER: Distributed and Incoherent Sample Orders for Reconstruction Disentanglement using Encoding Redundancy
Lucilio Cordero-Grande1, Giulio Ferrazzi1, Rui Pedro AG Teixeira1, Hassan Shahzad2, Anthony N Price1, and Joseph V Hajnal1

1Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, United Kingdom, 2Electrical Engineering Department, COMSATS Institute of Information Technology, Islamabad, Pakistan

The DISORDER framework for motion tolerant reconstruction in parallel volumetric brain imaging synergistically combines distributed and incoherent sample orders with a joint retrospective motion estimation and reconstruction technique based on encoding redundancy provided by coil arrays. DISORDER is fully data-based, does not make use of external sensors or acquisition of navigators, does not require data rejection, and can be applied to different sampling schemes and imaging modalities. In-vivo application of DISORDER has shown robustness against extreme and continuous motion in low resolution images and moderate and continuous motion in standard and high resolution images as well as slightly improved contrast properties in high resolution motion images without deliberate motion.

302
17:15
Image Reconstruction Algorithm for Motion Insensitive Magnetic Resonance Fingerprinting (MRF)
Bhairav Bipin Mehta1, Dan Ma1, Simone Coppo1, and Mark Alan Griswold1

1Radiology, Case western reserve university, Cleveland, OH, United States

Motion is one of the biggest challenges in clinical MRI. The recently introduced Magnetic Resonance Fingerprinting (MRF) has been shown to be less sensitive to motion. However, it is still susceptible to patient motion primarily occurring in the early stages of the acquisition. In this study, we propose a novel reconstruction algorithm for MRF, which decrease the motion sensitivity of MRF. The evaluation of the algorithm was performed using simulated head tilt and nodding motion, and with prospectively motion corrupted data from healthy volunteers.

303
17:27
Relating external magnetic field changes to head movement using motion and field cameras
Laura I. Bischoff1, James A. Smith1, Olivier E. Mougin1, Glyn S. Spencer1, Kingkarn Aphiwatthanasumet1, Penny A. Gowland1, and Richard W. Bowtell1

1Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom

The effect of head movement in high-field MRI is assessed by measuring changes in the spatial pattern of magnetic field perturbation, generated outside the head, using a set of 16 NMR probes fixed into a specially constructed coil mount. Information from the field probes was combined with head position measurements provided by an optical tracking system and quantitative relations between field and position changes were characterised. By relating the field probe and optical tracking measurements, acquired in a training-phase, it was possible to predict head movements based solely on measured magnetic field changes made in subsequent recordings.

304
17:39
On the impact of real-time motion and B0 correction during 3D-MRSI measurements in Parkinson’s, Mild Cognitive Impairment and young/elderly controls
Eva Heckova1, Michal Považan1,2, Bernhard Strasser1, Petra Hnilicova3, Ovidiu C Andronesi4, Andre van der Kouwe4, Jozef Ukropec5, Siegfried Trattnig1,2, and Wolfgang Bogner1,2

1High Field MR Centre, Medical University of Vienna, Vienna, Austria, 2Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, 3Biomedical Center Martin, Division of Neurosciences, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia, 4Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 5Institute of Experimental Endocrinology, Biomedical Research Center, Slovak Academy of Sciences, Bratislava, Slovakia

Presence of motion during MRSI acquisition and scanner instabilities affect the localization accuracy of the measurement and consequential quality of the data. We determined the extent of inter-acquisition head movement, frequency and B0 shim changes during approximately 20 min MEGA-edited MRSI scan with integrated vNav in 4 different groups of subject, with significantly larger amount of head motion in Parkinsons's patients, Mild Cognitive Impairment and elderly controls comparing to young healthy volunteers. With real-time motion, B0 correction and reacquisition we obtained satisfactory data quality in all groups of subjects, which makes it a valuable tool for spectral quality accurance.

305
17:51
AMoCo, a software package for prospective motion correction
Ali Aghaeifar1,2, Martin Eschelbach1, Jonas Bause1, Axel Thielscher1, and Klaus Scheffler1,3

1Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2IMPRS for Cognitive and Systems Neuroscience, University of Tübingen, Tübingen, Germany, 3Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany

Long scan time makes MRI prone to subject motion which can result in image artifacts. Here we introduce a library for advanced motion correction (AMoCo) for Siemens platforms which can be embedded in any sequence and enables connecting to any tracking device. The library is programmed in a modular way that allows user to customize the correction procedure. The library is integrated with EPI, GRE, and FLASH sequences and tested with various tracking devices.

306
18:03
Simultaneous prospective motion correction and feedback field control: T2* weighted imaging at high field
Laetitia Vionnet1, Alexander Aranovitch1, Yolanda Duerst1, Maximilian Haeberlin1, Benjamin Emanuel Dietrich1, Simon Gross1, Lars Kasper1,2, Thomas Schmid1, and Klaas Paul Pruessmann1

1ITET, IBT, UZH & ETHZ, Zurich, Switzerland, 2TNU, UZH & ETHZ, Zurich, Switzerland

T2* weighted imaging, which is particularly relevant in studying dementia, is prompt to artefacts caused by subject-induced field fluctuation and head motion. Solutions have been proposed to tackle each of these issues separately. In this work we propose to address the two issues concurrently with feedback field control and marker-based prospective motion correction based on gradient-tones. We demonstrate the effectiveness of the combination in the scenario of limb motion.


Oral

Preclinical Tumor Microenvironment Imaging

Room 313BC Monday 16:15 - 18:15 Moderators: Kristine Glunde & Eugene Kim

307
16:15
Imaging of the Tumor Type-specific Microenvironment in Preclinical Cancer Models of Varying Malignancy
Ellen Ackerstaff1, Natalia Kruchevsky1, Ekaterina Moroz1, H. Carl LeKaye1, Kristen L. Zakian1, SoHyun Han2, HyungJoon Cho2, Radka S. Stoyanova3, Nirilanto Ramamonjisoa1, Inna S. Serganova1, Ronald G. Blasberg1, and Jason A. Koutcher1

1Memorial Sloan-Kettering Cancer Center, New York, NY, United States, 2Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of, 3Miller School of Medicine, University of Miami, Miami, FL, United States

An abnormal tumor microenvironment characterized by hypoxia, low extracellular pH (pHe), vascular abnormalities, and high tumor lactate has been associated with aggressive, treatment-resistant tumors. Using tumor models of different origin and malignancy, and focusing on prostate cancer, we investigated the relationship of lactate metabolism and vascularity, and, in selected models, localized pHe. We found differences in whole-tumor lactate concentrations between tumor models and successfully mapped lactate concentrations.  Vascular blood flow and permeability varied significantly between tumor models in well-vascularized areas, while being similar across all models in hypoxic areas, emphasizing a need for spatial characterization of the tumor microenvironment.

308
16:27
Brain Tumors Disrupt the Resting-State Connectome
Darian Hadjiabadi1, Leland Pung1, Jiangyang Zhang2, BD Ward3, Woo-Taek Lim1, Meghana Kalavar2, Nitish V Thakor1, Bharat B Biswal4, and Arvind P Pathak1,2,5

1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States, 2Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Biophysics, The Medical College of Wisconsin, Milwaukee, WI, United States, 4Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, United States, 5Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, United States

Resting-state functional MRI (rsfMRI) has become indispensable for mapping the changes in ‘connectivity’ between brain regions in a range of diseases including brain tumors. However, the complex interplay between abnormal brain tumor vasculature, tumor blood flow, and cancer cell-induced neurovascular uncoupling can confound the interpretation of resting-state connectivity in patients. Therefore, in this preclinical study we quantified brain tumor-induced changes on resting-state connectivity relative to that in healthy brains, followed by histological validation. RsfMRI revealed that brain tumors alter the resting-state connectome, and histology confirmed that this was largely due to cancer cell-induced disruption of the neurovascular unit.

309
16:39
Multiparametric MR for assessment of tissue characteristics of small intestine neuroendocrine tumour evaluated by histological correlations
Mikael Montelius1, Oscar Gustafsson1, Johan Spetz1, Ola Nilsson2, Eva Forssell-Aronsson1, and Maria Ljungberg1

1Department of Radiation Physics, University of Gothenburg, Gothenburg, Sweden, 2Department of Pathology, University of Gothenburg, Gothenburg, Sweden

This study investigates the relations between MR derived, quantitative parameters reflecting perfusion, diffusion and relaxation, and histological indices reflecting apoptosis, proliferation, vascularity and fibrosis. We show that important biological characteristics of tumour tissue can be probed by multiparametric MRI. 

310
16:51
Understanding the relationship between R2* and R1 MRI biomarkers of hypoxia: insights from 786-0 renal cancer xenografts and patients with renal carcinoma
Ross A Little1, Yann Jamin2, Jessica KR Boult2, Josephine H Naish1, Yvonne Watson1, Susan Cheung1, Huiqi Lu1, Damien J McHugh1, Geoff JM Parker1,3, Joely Irlam4, Catherine ML West4, John C Waterton1, Simon P Robinson2, and James PB O'Connor4,5

1Centre for Imaging Sciences, University of Manchester, Manchester, United Kingdom, 2Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom, 3Bioxydyn Ltd, Manchester, United Kingdom, 4Institute of Cancer Sciences, University of Manchester, Manchester, United Kingdom, 5Department of Radiology, The Christie NHS Foundation Trust, Manchester, United Kingdom

Quantification of tumour R2* and oxygen-induced ΔR2* and ΔR1 are being investigated as potential biomarkers of tumour hypoxia, but their relationship is complex and not well understood. Here, we used a validated R1 biomarker (oxygen refractory fraction, termed “Oxy-R”) to segment tumours into hypoxic and non-hypoxic sub-regions. This revealed a clear relationship between hypoxic status and native R2* and hyperoxia-induced ΔR2*. Preclinical findings were replicated in clinical data from patients with renal carcinoma. These data highlight the importance of heterogeneity-based analysis of tumours and provide further validation of Oxy-R as a biomarker of tumour hypoxia.  

311
17:03
Co-registration of multi-parametric MRI and histology to study breast cancer Habitats in a preclinical model.
William Dominguez-Viqueira1, Bruna V Jardim-Perassi1,2, Mikalai Budzevich1, Epifanio Ruiz1, Suning Huang1, Pedro M Enriquez-Navas1, Jan Poleszczuk3, Debora A.P.C. Zuccari2, Robert J Gillies1, and Gary V Martinez1

1Department of Cancer Imaging and Metabolism, Moffitt Cancer Center, Tampa, FL, United States, 2Faculdade de Medicina de Sao Jose do Rio Preto, Sao Jose do Rio Preto, Brazil, 3Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland

Different tumor micro-environments or habitats are discernible by MRI. In order study these; a co-registration framework was developed using 3D-printed tumor-molds created from in-vivo MRI images of five mice with implanted breast cancer tumors. The results of automated 3D-alignment of MRI images and histology slices are promising and encourage further experiments using the presented workflow. Tumor habitats clustering from multi-parametric MRI images showed encouraging results with similarities to the hypoxic pattern observed by immunohistochemistry. This work will help understanding MRI habitats to monitor cancer evolution as a means to aid treatment decisions in the future.

312
17:15
Fluorine-19 NMR cytometry to quantify human transgenic CAR T cell biodistribution in murine studies of glioblastoma immunotherapy
Fanny Chapelin1, Hideho Okada2, and Eric T Ahrens3

1Bioengineering, University of California San Diego, La Jolla, CA, United States, 2Neurological surgery, University of California San Francisco, San Francisco, CA, United States, 3Radiology, University of California San Diego, La Jolla, CA, United States

Technologies to quantify the biodistribution of emerging immunotherapeutic cell therapies against cancer can accelerate the timeline to evaluate potential candidates. In this study, we describe the use of in ‘NMR cytometry’ to assay immunotherapeutic cell biodistribution in a mouse model of sub-cutaneous glioblastoma (U87) treated with chimeric antigen receptor (CAR) T-cells. We examine CAR T cell 19F labeling efficiency, phenotype and biodistribution with 19F NMR at day 2 and 7 post infusion to elucidate T-cell tumor homing, survival, and tissue distribution.

313
17:27
Correlated quantitative assessment of glioblastoma-angiogenesis by T2-mapping and in vivo multiphoton microscopy
Artur Hahn1, Ke Zhang2, Gergely Solecki3,4, Michael O. Breckwoldt1,5, Lukas R. Buschle1,6, Sabine Heiland1, Christian H. Ziener1,6, Martin Bendszus1, Frank Winkler3,7, and Felix T. Kurz1

1Neuroradiology, University Hospital Heidelberg, Heidelberg, Germany, 2German Cancer Research Center (DKFZ), Heidelberg, Germany, 3Neurology Clinic and National Center for Tumor Diseases, University Hospital Heidelberg, Heidelberg, Germany, 4Clinical Cooperation Unit Neurooncology, German Cancer Consortium (DKTK), Heidelberg, Germany, 5Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 6E010 Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 7Neurooncology (G370), German Cancer Research Center, Heidelberg, Germany

Microvasculatures in healthy cortical tissue, in untreated and in antiangiogenically treated glioblastoma multiforme are compared in a mouse model. From T2-maps, the information entropy is determined for each tissue type. In addition, capillaries are directly imaged through in vivo multiphoton microscopy to obtain sets of microvascular parameters. The T2-entropy is lowest in healthy tissue and significantly higher in glioblastoma, with a moderate decrease in treated tumors. Several vascular characteristics correlate with the T2-entropy. The correlations provide insight into the influence of microvasculature on MR-dephasing.

314
17:39
In vivo tracking of iron oxide labeled T-cells infiltrating preclinical tumor models
Johannes Riegler1, Vincent Javinal2, Maj Hedehus1, Mike Reichelt3, Meredith Sagolla3, Jill Schartner2, Franklin Peal4, and Richard A.D. Carano1

1Biomedical Imaging, Genentech, South San Francisco, CA, United States, 2In vivo Pharmacology, Genentech, South San Francisco, CA, United States, 3Center for Advanced Light Microscopy, Genentech, South San Francisco, CA, United States, 4Pathology, Genentech, South San Francisco, CA, United States

The discovery of immune checkpoint pathways such as CTLA4 and PD1/PDL1, which control T-cell activation and activity, has fuelled interest in their modulation to achieve sustained anti-tumor immunity. This requires sufficient T-cell infiltration and activity in tumors. However, these processes are incompletely understood, in part due to the terminal nature of current analysis techniques. We therefore optimized labeling of activated T-cells with iron oxide nanoparticles, transferred labeled T-cells into tumor bearing hosts and performed serial MRI. Although, hypointense spots could be detected in the tumor rim following T-cell transfer, quantification is complicated by vascular abnormality induced susceptibility changes.   

315
17:51
Magnetisation Transfer MRI Facilitates Non-Invasive Identification of Fibrosis in Chemically-Induced Rat Mammary Carcinomas Imaged on a 1.5T Clinical Platform
Jessica KR Boult1, Neil P Jerome1, Matthew R Orton1, James d'Arcy1, Martin O Leach1, Dow-Mu Koh1,2, David J Collins1, and Simon P Robinson1

1CRUK Cancer Imaging Centre, Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom, 2Department of Radiology, Royal Marsden NHS Foundation Trust, London, United Kingdom

Intratumoural fibrosis is associated with poor prognosis in breast cancer patients. Non-invasive detection of such fibrosis may contribute to the provision of personalised treatment regimens. Multi-parametric MRI, using a clinical MRI scanner and incorporating endogenous contrast mechanisms, was performed on MNU-induced rat mammary carcinomas to identify parameters sensitive to the detection and quantification of fibrosis. Magnetisation transfer MRI derived parameters correlated with percentage picrosirius red staining, which detects collagen I/III, major components of fibrosis, in this heterogeneous tumour cohort. These results strongly support the inclusion of magnetisation transfer in clinical MR breast imaging protocols.

316
18:03
MRI Tracking and Quantitative Analyzing Natural Killer Cell Infusion for Hepatocellular Carcinoma Treatment in a Rodent Model
Zhanliang Su1,2, Xifu wang2,3, Linfeng Zheng2,3, Tianchu Lyu2, Matteo Figini2, Guohong Han4, Daniel Procissi2, Lei Qin5, Bin Zhang5, Jeremy Shi Zhang2, Wei Xing6, Yihe Yang2, Kejiang Wang1, Shixin Wang1, Vahid Yaghmai2,7, Andrew Christian Larson2,7, and Zhuoli Zhang2,7

1Department of Radiology, Tianjin Xiqing Hospital, Tianjin, People's Republic of China, 2Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 3Department of Radiology, Shanghai General Hospital, Shanghai Jiaotong University, Shanghai, People's Republic of China, 4Department of Liver Disease and Digestive Interventional Radiology, Xijing Hospital, Xi’an, United States, 5Department of Medicine, Division of Hematology/Oncology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 6Department of Radiology, Affiliated Third Hospital of Suzhou University, Changzhou, People's Republic of China, 7Robert H. Lurie Comprehensive Cancer Center

This paper presents the first evidence that transcatheter IHA NK cell local delivery for HCC adoptive transfer immunotherapy in a rat model.

We use a clinically feasible method by combining FDA-approved drugs heparin, protamine and ferumoxytol to compound HPF nanocomplexes for magnetic NK cell labeling so that their biodistribution can be visualized and quantized in vivo with MRI.

We demonstrated: a) transcatheter IHA NK cell infusion improved their homing efficacy to target tumors; b) quantitative analysis result of serial MRI monitoring of NK cell migrate to target tumors could serve as a key early biomarker for predicting longitudinal response.



Oral

Pancreatobiliary

Room 320 Monday 16:15 - 18:15 Moderators: Sooah Kim & Bachir Taouli

317
16:15
Physiologically-constrained Multiagent DCE-MRI for Pancreatic Cancer Imaging
Matthias C Schabel1,2, Erin Gilbert3, Alexander Guimaraes4, and Cory Wyatt1

1Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, United States, 2Utah Center for Advanced Imaging Research, University of Utah, Salt Lake City, UT, United States, 3Surgery, Oregon Health & Science University, Portland, OR, United States, 4Radiology, Oregon Health & Science University, Portland, OR, United States

Physiologically-constrained multiagent pharmacokinetic modeling in pancreas using sequential injections of gadoteridol and ferumoxytol reveals differences between healthy pancreas in high-risk patients and both IPMN and pancreatic ductal adenocarcinoma.

318
16:27
Improved Characterization of Contrast Uptake in Human Pancreatic Cancer
Douglas Arthur Charles Kelley1, Benjamin Yeh2, Michael Ohliger2, Eric Collisson2, and Zhen Wang2

1Radiology and Biomedical Imaging, GE Healthcare and UCSF, Larkspur, CA, United States, 2Radiology and Biomedical Imaging, UCSF

We present an improved method for quantifying contrast agent uptake in highly desmoplastic pancreatic tumors in human patients. The new method separates the T1 and T2* effects of the Gadolinium-based contrast agent; uses fast acquisition and non-rigid registration to minimize motion effects; and two point Dixon imaging to separate the water component on a pixel by pixel basis.  

319
16:39
Prognostic value of hepatobiliary phase MRI in patients with primary sclerosing cholangitis – Assessment of clinical outcome and evaluation of surrogate parameters
Jennifer Schulze1, Henrike Lenzen2, Jan Hinrichs1, Michael Manns2, Frank Wacker1, and Kristina Imeen Ringe1

1Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany, 2Department of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, Hannover, Germany

In this prospective study we assessed the prognostic value of hepatobiliary phase (HBP) MRI in patients with primary sclerosing cholangitis (PSC). Relative enhancement (RE) in the HBP after gadoxetate disodium injection correlated significantly with clinical scores (MELD, Mayo Risk) established to estimate survival in patients with chronic liver disease and PSC. More importantly, a significant correlation with previously suggested surrogate parameters for clinical outcome as well as with solid clinical endpoints (development of tumor, liver transplantation, death) at follow-up could be observed. These promising results attest HBP MRI in patients with PSC a potential prognostic role and warrant further long-term evaluation.

320
16:51
Early screening of pancreatic iron overload in thalassemia major with MRI T2*
Jingwen Huang1, Qihua Yang1, Jinglian Zhong1, Xiaodong Chen2, Ziliang Cheng1, Taihui Yu1, Yun Su1, and Biling Liang1

1Sun Yat-sen Memorial Hospital, Guangzhou, People's Republic of China, 2Guangdong Medical College, People's Republic of China

Diabetes Mellitus is a serious complication of thalassemia major. Intensive chelation therapy in the early stage may avoid diabetes. So we aimed to determine the optimal timing age of pancreatic iron screening with MRI T2* technique. Early pancreatic hemosiderin was found in thalassemia major, with the youngest one of 5.3 years old. Early dysfunction of pancreatic exocrine and endocrine glands was found in thalassemia major, with the youngest one of 5.5 years old. Therefore, we suggest age of 5 to 6 years old as the optimal initial age for pancreatic T2* scanning.

321
17:03
The Development And Prognostication Of Magnetic Resonance Elastography Thresholds In Primary Sclerosing Cholangitis
Kartik Jhaveri1, Hooman Hosseini-Nik, Nima Sadoughi, Harry Janssen, Jordan Feld, Sandra Fischer, Ravi Menezes, and Angela Cheung

1UHN, University of Toronto, Toronto, ON, Canada

Primary sclerosing cholangitis (PSC) is a chronic, progressive, cholestatic liver disease which causes bile duct structuring and eventually causes liver cirrhosis requiring liver transplantation. Due to heterogeneity of liver fibrosis distribution and lack of optimal method to assess disease severity accurate disease stratification is challenging. Magnetic resonance elastography (MRE) has shown very good results for quantification of hepatic fibrosis. MRE may provide a unique means of stratification and prognostication in PSC with its ability to assess a larger volume of hepatic tissue compared to biopsy or transient elastography(VCTE) and this what we explored in this prospective study.

322
17:15
Diffusion imaging detects differences in disease trajectory between two mouse models of pancreatic cancer
Palamadai Nilakantan Venkatasubramanian1, Matthew Smith2, Jesse Yan2, Brian Hallis2, Emman Mascarinas3, Andrew Diaz3, Brian DeCant3, Ron McKinney3, Paul J Grippo3, and Alice M Wyrwicz1

1Radiology, NorthShore University HealthSystem, Evanston, IL, United States, 2NorthShore University HealthSystem, Evanston, IL, United States, 3Medicine, University of Illinois at Chicago

Multiparametric MR microimaging deteced differences in pancreatic microstructure between two mouse models of pancreatic cancer, EL-KRASG12D (EK) and p48-Cre/LSL-Kras (KC) mice, that overexpress mutant KRas via different mechanisms. MR signatures characteristic of acinar-ductal metaplasia, fibrosis, cystic neoplasms and precancerous lesions revealed different trajectories of disease development between the two genetically engineered mice.

323
17:27
Insulinoma localization with cross-sectional imaging: head-to-head comparison of contrast-enhanced CT, volume perfusion CT and multi-parametric MR
Liang Zhu1, Zhao-yong Sun1, Hua-dan Xue1, Tian-yi Qian2, and Zheng-yu Jin1

1Radiology, Peking Union Medical College Hospital, Beijing, People's Republic of China, 2MR collaborations NE Asia, Siemens Healthcare, Beijing, People's Republic of China

This study aims to compare insulinoma localization with CECT, VPCT and multi-parametric MR (mp-MR) at 3T in the same patients, in a prospective manner. CECT, VPCT and mp-MR were performed in patients with suspected insulinomas. The presence/absence of tumor within the pancreatic head, neck, body and tail region was evaluated with 5-scale confidence levels. ROC analysis was performed. Surgical pathology served as reference standard. We found that VPCT and mp-MR showed improved diagnostic performance for insulinoma localization, compared to CECT. Both modalities could serve as problem-solving tools in difficult cases. mp-MR has the potential to replace CECT as the first-line examination.

324
17:39
3D Pancreatic Perfusion MRI using Through-Time Spiral GRAPPA Acceleration
Yong Chen1, Shivani Pahwa1, Mark Griswold1, Nicole Seiberlich2, and Vikas Gulani1

1Radiology, Case Western Reserve University, Cleveland, OH, United States, 2Biomedical Engineering, Case Western Reserve University

In this study, free-breathing 3D pancreatic perfusion quantification was achieved using a rapid non-Cartesian parallel imaging technique. The method was applied to 11 asymptomatic subjects and the values are in good agreement with literature values. Significant differences in both Ktrans and Kep were noticed between different locations in the pancreas, but no significant difference was found in the volume of distribution (Ve).

325
17:51
Geometric distortion due to B0 inhomogeneity in liver MR imaging under inhalation and exhalation breath-hold
Oi Lei Wong1, Jing Yuan1, Yihang Zhou1, Siu Ki Yu1, and Kin Yin Cheung1

1Medical Physics and Research Department, Hong Kong Sanatorium & Hosptial, Hong Kong, Hong Kong

Geometric accuracy is critical for radiotherapy and is one major concern in the application of MRI in radiotherapy. Since the geometric distortion and B0 inhomogeneity are related, we aim to evaluate the geometric distortion due to ΔB0 variation at inhalation and exhalation breath-hold. Based on our results, larger geometric distortion was noted during inhalation than exhalation.

326
18:03
Simultaneous Iron and Fat Quantification Using an Auto Regressive Moving Average Model at 1.5T and 3T
Aaryani Tipirneni-Sajja1, Axel J. Krafft2, Brian Taylor3, Ralf B. Loeffler1, Ruitian Song1, Nathan Artz1, Jane S. Hankins4, and Claudia M. Hillenbrand1

1Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, United States, 2Radiology – Medical Physics, Medical Center – University of Freiburg, Freiburg, Germany, 3Imaging Physics, The University of Texas MD Anderson Cancer Center, TX, United States, 4Hematology, St. Jude Children's Research Hospital, Memphis, TN, United States

A major confounder of hepatic iron assessment by R2*-MRI is fat (e.g. steatosis) which introduces signal modulations. In this study, we systematically evaluate two signal modeling techniques, an autoregressive moving average (ARMA) model and the method provided by the ISMRM Fat-Water Toolbox for simultaneous iron and fat quantification in phantoms and in vivo. Preliminary data suggest that ARMA and Toolbox can be used for iron and fat quantification at 1.5T and 3T. In severe iron-overload cases, both, ARMA and the Toolbox might produce inaccurate FF results, however in vivo ARMA seemed to provide a more robust liver R2* quantification. 


Combined Educational & Scientific Session

Metabolomics & Metabolic Fluxes

Organizers: Jürgen K. Hennig, Ph.D., Roland Kreis, Ph.D. & Peter van Zijl, Ph.D.

Room 314 Monday 16:15 - 18:15 Moderators: John Griffiths & Arend Heerschap

16:15
Metabolomic, tissue
Peter Vermathen1

1Department of Clinical Research, Inselspital, University of Bern, Switzerland

Metabolomics denotes the comprehensive and simultaneous systematic profiling of metabolite levels through the study of biofluids and tissues. As such metabolomics is now considered an integral part of systems biology . Besides Mass Spectrometry, NMR Spectroscopy is the main analytical technique for simultaneous assessment of metabolites in biological fluids and tissues.

16:45
13C Metabolic Fluxes, not Hyperpolarized
Douglas L. Rothman1

1Yale University

An introduction to the use of  13C and 1H-13C MRS to measure metabolic fluxes in pre clinical models and clinical research studies will be presented.  The presentation will have the following sections: 1. introduction to 13C MRS 2. use of 13C MRS to measure metabolite labeling 3. calculations of metabolic fluxes from metabolite labeling curves 4. applications to study metabolism in health and disease 5. application to study therapy.  The main goals are to provide the audience with basic knowledge of how to perform and interpret 13C MRS measurements of metabolic fluxes and their potential for use in clinical research.


327
17:15
NMR-based metabolomics and metabolic pathway networks from patient-matched colorectal cancers, adjacent non-cancerous tissues and fecal extracts
Yan Lin1, Changchun Ma2, Zhening Wang1, Jiahao Liang1, Yao Huang1, and Renhua Wu1

1Radiology department, Second Affiliated Hospital, Shantou University Medical College, Shantou City, People's Republic of China, 2Department of Radiation Oncology, Cancer Hospital, Shantou University Medical College, Guangdong Province, China, People's Republic of China

This study aimed to profile paralleled metabolites of CRC tissues and adjacent non-cancerous tissues alongside pre- and post-operative stools from the same patients, to investigate how fecal metabolomic phenotypes correlate with the tumor tissue especially in a molecular pathology context. Our patient-matched cohort revealed a few overlapping discriminatory metabolites between the CRC and stool metabolomes, indicating the networks for metabolic pathway aberrations across both matrices. The altered metabolites potentially involved in the disruption of normal bacterial ecology, malabsorption of nutrients, increased glycolysis, TCA cycle and glutaminolysis, implying a Warburg effect for cell energy production required for rapid proliferation

328
17:27
Hyperpolarized Micro-NMR for Metabolic Flux Analysis in Cancer Stem Cells and Rapid Assessment of Therapeutic Response
Sangmoo Jeong1, Roozbeh Eskandari1, Sun Mi Park2, Ralph Weissleder3,4, Michael G. Kharas2,5, Hakho Lee3,4, and Kayvan R. Keshari1,5

1Department of Radiology/Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Center for Cell Engineering/Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Center for Systems Biology, Massachusetts General Hospital, Boston, MA, United States, 4Department of Radiology, Harvard Medical School, Boston, MA, United States, 5Weill Cornell Medical College, New York, NY, United States

Aberrant metabolic features of cancer cells are closely related to tumorigenesis and therapeutic response. Here, we report a sensitive magnetic resonance sensing platform, capable of analyzing metabolic fluxes in mass-limited samples. Termed hyperpolarized micromagnetic resonance spectrometer (HMRS), this platform achieved to characterize the metabolic flux in cancer stem cells in real-time and assess therapeutic responses much earlier than any changes in cell viability. This will become a versatile platform for rapid and sensitive exploration of metabolic dynamics in cancer.

329
17:39
IDH1 mutation down-regulates choline and ethanolamine metabolism in gliomas
Pavithra Viswanath1, Jose Luis Izquierdo-Garcia1, Joanna J Phillips2, Russell O Pieper2, and Sabrina M Ronen1

1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Neurological Surgery, University of California San Francisco, San Francisco, CA, United States

Aberrant choline and ethanolamine metabolism with elevated phosphocholine (PC) and phosphoethanolamine (PE) levels has emerged as a hallmark of cancer. Interestingly, PC and PE levels are reduced in gliomas with the isocitrate dehydrogenase 1 (IDH1) mutation relative to wild-type tumors. Here, we investigated the mechanism behind the reduction in PC and PE levels in genetically-engineered cells and tumor xenografts. Our results indicate that mutant IDH1 gliomas down-regulate the activities of choline kinase and ethanolamine kinase, the enzymes involved in PC and PE synthesis. Reduced PC and PE levels constitute unique metabolic biomarkers and potential therapeutic opportunities in mutant IDH1 gliomas.

330
17:51
13C NMR metabolic flux analysis of mantle cell lymphoma cells to Bruton tyrosine kinase inhibitors
Seung-Cheol Lee1, Alex Shestov1, Stephen Pickup1, Jeff Roman1, Mariusz Wasik2, and Jerry Glickson1

1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, United States

We analyzed various metabolic fluxes of mantle cell lymphoma cells upon Bruton tyrosine kinase signaling inhibitors using 13C NMR and a bonded cumomer modeling method and identified 1H NMR biomarkers translatable to clinic.

331
18:03
Identification of potential biomarkers for Parkinson’s disease by 1H NMR spectroscopy
Senthil Kumaran1, Sadhana Kumari1, Vinay Goyal2, SN Dwivedi3, Achal Srivastava2, and Naranamangalam R Jagannathan1

1Department of NMR and MRI Facility, All India Institute of Medical Sciences, New Delhi, India, 2Department of Neurology, All India Institute of Medical Sciences, New Delhi, India, 3Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India

We studied the metabolic profile of urine samples of patients with Parkinson’s disease (PD) and healthy controls (HC) using 700 MHz NMR spectrometer (Varian, M/s Agilent Technologies, USA). The data were processed using Vnmrj (version:2.3A) and binning data estimated using MestReNova software (version :10.0,Mestrelab Research, Spain). PLS-DA multivariate analysis was carried out using MetaboAnalyst (ver.3.0), a web-based metabolomics data processing tool to evaluate significance of metabolites in PD with respect to HC. We observed elevated levels of lactate, tryptophan, glycine and reduced levels of citrate, leucine, isoleucine (t-test, p<0.05), suggestive of several metabolic abnormalities, as mitochondrial dysfunction and reduced bioenergetics efficiency in PD patients.


Other

Special Session: Manuscript Reviewing for JMRI

Room 314 Monday 18:30 - 19:15 Moderators: Mark Schweitzer (no CME credit)



Tuesday, 25 April 2017

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Sunrise Session

Cardiovascular MR: "More is Better": Tissue Characterization

Organizers: Daniel K. Sodickson, M.D., Ph.D., Bernd J. Wintersperger, M.D. & Sonia Nielles-Vallespin, Ph.D.

Room 310 Tuesday 7:00 - 7:50 Moderators: Pedro Ferreira & Christian Stoeck

7:00
MR Relaxometry in the Heart
Matthew Robson

7:25
MR Fingerprinting
Nicole Seiberlich

7:50
Adjournment & Meet the Teachers


Sunrise Session

UTE & ZTE Imaging Techniques & Applications

Organizers: Jenny T. Bencardino, M.D., Eric Y. Chang, M.D., Christine Chung, M.D. & Philip Robinson, M.D.

Room 312 Tuesday 7:00 - 7:50 Moderators: Eric Chang & Florian Wiesinger

7:00
UTE & ZTE Imaging Techniques
Florian Wiesinger

7:25
Clinical Applications of UTE/ZTE
Richard Hodgson

7:50
Adjournment & Meet the Teachers


Sunrise Session

Bleeding Edge of Brain Techniques: Beyond Conventional MRI

Organizers: Fernando E. Boada, Ph.D. & Christopher P. Hess, M.D., Ph.D.

Room 311 Tuesday 7:00 - 7:50 Moderators: Fernando Boada & Christopher Hess

7:00
Sodium MRI in the Clinic: What You Can Learn from a 10 Min Scan
Armin Nagel

7:25
Conventional MRI: What We are Missing
Keith Thulborn

7:50
Adjournment & Meet the Teachers


Sunrise Session

Magnetic Resonance Elastography: Brain & Breast

Organizers: Guoying Liu, Ph.D. & Joshua D. Trzasko, Ph.D.

Room 313A Tuesday 7:00 - 7:50 Moderators: Curtis Johnson & Joshua Trzasko

7:00
Brain
Lynne Bilston

7:25
MR-Elastography of the Breast
Ralph Sinkus

7:50
Adjournment & Meet the Teachers


Sunrise Session

Low Field MR: Systems & Applications

Organizers: Jie Luo, Ph.D., Thomas W. Okell, Ph.D., Signe Johanna Vannesjö, Ph.D., Puneet Bagga, Ph.D., Mary P. McDougall, Ph.D.

Room 313BC Tuesday 7:00 - 7:50 Moderators: Fraser Robb & Jason Stockmann

7:00
Low Field MR - System Design & Imaging Aspects
Clarissa Cooley

7:25
Magnetic Particle Imaging
Emine Saritas

7:50
Adjournment & Meet the Teachers


Sunrise Session

It Doesn’t Have to Be That Way: Non-Traditional Acquisition

Organizers: Michael S. Hansen, Ph.D. & Joshua D. Trzasko, Ph.D.

Room 315 Tuesday 7:00 - 7:50 Moderators: Michael Hansen & Sebastian Kozerke

7:00
RF
David Brunner

7:25
Data
Dong Liang

7:50
Adjournment & Meet the Teachers


Sunrise Session

fMRI: Best Practices & Cautionary Tales: Analysis & Resting-State Indices

Organizers: Hanzhang Lu, Ph.D. & Karla Miller, Ph.D.

Room 316A Tuesday 7:00 - 7:50 Moderators: Molly Bright & Hanzhang Lu

7:00
Analysis Issues
James Pekar

7:25
Resting-State fMRI: Which Index is Really Useful?
Shella Keilholz

7:50
Adjournment & Meet the Teachers


Sunrise Session

Assessing Response to Immunotherapy

Organizers: Linda Moy, M.D. & Valeria Panebianco, M.D.

Room 314 Tuesday 7:00 - 7:50 Moderators: Carolyn Mountford & Linda Moy

7:00
Brain Gliomas: Imaging Response to Immunotherapy
Alberto Bizzi

7:25
Investigation & Evaluation of Immunotherapies with Molecular Imaging
Kimberly Brewer

7:50
Adjournment & Meet the Teachers


Sunrise Session

Addressing Clinical Challenges in the Body with MRI

Organizers: Kathryn Fowler, M.D., Kartik Jhaveri, M.D., F.R.C.P.C., Lorenzo Mannelli, M.D., Ph.D. & Edwin J.R. van Beek, M.D., Ph.D., M.Ed., FRCR

Room 320 Tuesday 7:00 - 7:50 Moderators: Utaroh Motosugi & Mi-Suk Park

7:00
Cholangiopathies
Jeong-Min Lee

7:25
Pancreas
Richard (Kinh Gian) Do

7:50
Adjournment & Meet the Teachers


Traditional Poster: fMRI

Exhibition Hall 1623-1656 Tuesday 8:15 - 10:15 (no CME credit)

Electronic Poster: Acquisition, Reconstruction & Analysis

Exhibition Hall Tuesday 8:15 - 9:15 (no CME credit)

Study Groups

MR of Cancer Study Group

Room 323ABC Tuesday 8:15 - 10:15 (no CME credit)


Study Groups

Diffusion Study Group

Room 317AB Tuesday 8:15 - 10:15 (no CME credit)


Educational Course

Being Vendor Agnostic

Organizers: Michael S. Hansen, Ph.D. & Joshua D. Trzasko, Ph.D.

Room 314 Tuesday 8:15 - 10:15 Moderators: Michael Hansen & Joshua Trzasko

8:15
Sequences
Maxim Zaitsev

On the example of PulSeq, an open-source platform independent sequence programming framework, we consider advantages of the hardware-abstraction in pulse sequence programming as well as the associated challenges.

8:45
Reconstruction & Raw Data
Nicholas Zwart

This session will highlight some of the open source software resources available to the MR community.  There will also be some tips on what steps an MR developer can take to keep their code open and dogma free.

9:15
Image Analysis
Anastasia Yendiki1

1Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School and Massachusetts General Hospital

Combining MRI data collected at multiple sites allows researchers to achieve the large sample sizes required to detect subtle disease effects, although at the expense of increased inhomogeneity in the data due to differences in acquisition hardware and software. This presentation will address what is known about the reproducibility of biomarkers derived from structural, functional, and diffusion MRI data across scanners from different vendors, as well as image analysis strategies that have been proposed to mitigate the effects of scanner-related differences.

9:45
Panel Discussion

10:15
Adjournment & Meet the Teachers


Educational Course

MR Physics & Techniques for Clinicians

Organizers: Marcus T. Alley, Ph.D. & Bernd Jung, Ph.D.

Room 316BC Tuesday 8:15 - 10:15 Moderators: Michael Ith & Oliver Wieben

8:15
Spin Echo Imaging
Valentina Taviani1

1MR Applications & Workflow, GE Healthcare, Menlo Park, United States

The spin echo pulse sequence is one of the most important pulse sequences in MRI. Fast spin echo imaging is routinely used due to its robustness to susceptibility variations and local field inhomogeneities, as well as for its ability to produce excellent T1, T2 and PD images. The aim of this lecture is to describe the basic physical principles governing spin echo imaging and to illustrate the effect of key imaging parameters, such as TE, TR and ETL (echo train length) on image contrast.

9:15
Gradient Echo Imaging
Armin M. Nagel1

1Institute of Radiology, University Hospital Erlangen, Erlangen, Germany

Magnetic resonance imaging (MRI) techniques can usually be classified into spin-echo (SE) and gradient-echo (GRE) pulse sequences. In this presentation, the basic physical principles of GRE imaging, as well as different mechanisms to generate image contrast will be explained. Differences between SE and GRE MRI will be discussed. Additionally, the influence of different pulse sequence parameters (e.g. echo time, repetition time, flip angle; as well as spoiling techniques and preparation pulses) on the image contrast will be covered. Clinical applications of GRE imaging techniques will be shown exemplarily.

10:15
Adjournment & Meet the Teachers


Power Pitch

Pitch: Best of Cardiovascular MR: Hemodynamics & Atherosclerosis

Power Pitch Theater A - Exhibition Hall Tuesday 8:15 - 9:15 Moderators: Alex Barker & Michael Hope (no CME credit)

332
8:15
Utilizing Quantitative Measurements of Carotid Intraplaque Hemorrhage can Improve on Presence Alone in Classifying Patients with and without Acute Cerebral Infarcts
Li Dong1, Zhaoqi Zhang1, Wei Yu1, Sheng Wang2, Qiang Shen1, and Chun Yuan3

1Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, People's Republic of China, 2Department of Vascular disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, People's Republic of China, 3Department of Radiology, University of Washington, Seattle, WA, United States

333
8:15
Whole-Brain Vessel Wall MR Imaging Using Inversion-Recovery Prepared SPACE: Reproducibility and Accuracy of Intracranial Artery Morphology
Na Zhang1,2, Fan Zhang1, Zixin Deng1, Qi Yang1, Xiaoming Bi3, Debiao Li1, Xin Liu2, and Zhaoyang Fan1

1Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, United States, 2Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China, 3Siemens Healthcare

334
8:15
A Preliminary Report on Time-Resolved Coronary Vessel Wall MRI in Heart Transplant Recipients
Giulia Ginami1,2, Jerome Yerly1,3, Jessica AM Bastiaansen1, Ruud B van Heeswijk1, Nathalie Lauriers4, Juan F Iglesias5, Sophie Degrauwe5, Andrea Zuffi5, Roger Hullin5, and Matthias Stuber1,3

1Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, United Kingdom, 3Centre for Biomedical Imaging (CIBM), Lausanne, Switzerland, 4Department of Radiology, University Hospital (CHUV) of Lausanne, Lausanne, Switzerland, 5Service de Cardiologie, University Hospital (CHUV) of Lausanne, Lausanne, Switzerland

335
8:15
Non-Gadolinium-Contrast Relaxation-Enhanced MR Angiography in Children with an Inversion Recovery and T2-Prepared 3D mDIXON Gradient-Echo Technique: Preliminary Experience
Amber L. Pokorney1, Jonathan M. Chia2, Dianna ME Bardo1, Mittun Patel1, Smita S. Bailey1, Scott Jorgensen1, Deepa Biyyam1, Scott Willard1, Jeffrey H. Miller1, Houchun Harry Hu1, and Masami Yoneyama3

1Radiology, Phoenix Children's Hospital, Phoenix, AZ, United States, 2Philips HealthTech, Dallas, TX, United States, 3Philips Electronics, Tokyo, Japan

336
8:15
Ultra-High Spatiotemporal Resolution 4D Flow for Valve and Coronary Arterial Delineation
Shreyas S. Vasanawala1, Furhawn Shah1, Marcus T. Alley1, and Joseph Y. Cheng1

1Department of Radiology, Stanford University, Stanford, CA, United States

337
8:15
Noninvasive Functional Evaluation of Coronary Stenosis Using MR Instantaneous wave-Free Ratio (MR-iFR): Pilot patient study using invasive fractional flow reserve as a reference
Zixin Deng1,2, Sang-Eun Lee3, Zhaoyang Fan1, Christopher Nguyen1, Yibin Xie1, Jianing Pang1, Xiaoming Bi4, Qi Yang1, Byoung-Wook Choi5, Jung-Sun Kim3, Daniel Berman1, Hyuk-Jae Chang3, and Debiao Li1

1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 3Cardiology, Severance Cardiovascular Hospital, 4Siemens Healthcare R&D, 5Radiology, Severance Cardiovascular Hospital

338
8:15
Analysis of 4D flow hemodynamics parameters in BAV patients using a finite element method
Julio Sotelo1,2, Lydia Dux-Santoy3, Andrea Guala3, Jose Rodríguez-Palomares3, Arturo Evangelista 3, Daniel Hurtado4, and Sergio Uribe5

1Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile, 2Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 3Department of Cardiology, Hospital Universitari Vall d´Hebron. Vall d´Hebron Institut de Recerca (VHIR). Universitat Autònoma de Barcelona., Barcelona, Spain, 4Department of Structural and Geotechnical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 5Department of Radiology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile

339
8:15
Phase-Contrast MRI with Hybrid One- and Two-sided Flow-Encoding and Velocity SPectrum SepAration (HOTSPA)
Da Wang1,2, Jiaxin Shao1, Daniel B. Ennis1,2,3, and Peng Hu1,2

1Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States, 2Biomedical Physics Interdepartmental Graduate Program, University of California, Los Angeles, Los Angeles, CA, United States, 3Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States

340
8:15
Association between Carotid Atherosclerotic Plaque Calcification and Intraplaque Hemorrhage: A High Resolution Magnetic Resonance Imaging Study
Shuo Chen1, Ruolan Lin2, Gaifen Liu3, Rui Li1, Yunjing Xue2, and Xihai Zhao1

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, People's Republic of China, 2Department of Radiology, Fujian Union Hospital, People's Republic of China, 3Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, People's Republic of China

341
8:15
Association between Age of Intraplaque Hemorrhage and Fibrous Cap Rupture in Carotid Artery Atherosclerosis: A High Resolution Magnetic Resonance Imaging Study
Yuanyuan Cui1, Xihai Zhao2, Huiyu Qiao2, Dongxiang Xu3, Mingming Lu1, Xiaoyi Chen2,4, Lu Ma1, and Jianming Cai1

1Department of Radiology, The General Hospital of People’s Liberation Army (301 hospital), Beijing, People's Republic of China, 2Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, People's Republic of China, 3Department of Radiology, University of Washington, Seattle, United States, 4Beijing Institute for Brain Disorders, Capital Medical University, Beijing, People's Republic of China

342
8:15
Compressed Sensing based Simultaneous Black- and Gray-blood Carotid Vessel Wall MR Imaging
Bo Li1,2, Hao Li3, Guofu Huang1, Xia Qian1, Wei Wang1, and Li Dong4

1Center Laboratory, The First Hospital of Nanchang City, Nanchang, People's Republic of China, 2Department of Radiology, The Third Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China, 3Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 4Department of Radiology, Beijing Anzhen Hospital, Beijing, People's Republic of China

343
8:15
Comparison of acceleration algorithms in whole-heart 4D flow MRI for aortic and mitral valve flow assessment
Jos Westenberg1, Pankaj Garg2, Pieter van den Boogaard1, and Sven Plein2

1Radiology, Leiden University Medical Center, Leiden, Netherlands, 2University of Leeds, Leeds, United Kingdom

344
8:15
Golden Step, Golden Angle, Spiral-Cartesian Imaging for Flexible Gated Three-dimensional Angiography
Grzegorz Tomasz Kowalik1, Jennifer Anne Steeden1, David Atkinson2, Kristian Mortensen3, and Vivek Muthurangu1,3

1Institute of Cardiovascular Science, University College London, London, United Kingdom, 2Centre for Medical Imaging, Division of Medicine, University College London, London, United Kingdom, 3Great Ormond Street Hospital for Children, London, United Kingdom

345
8:15
Distribution of Intraluminal Thrombus Composition in Abdominal Aortic Aneurysms by Diameter: a High Resolution MRI study
Chengcheng Zhu1, Bing Tian2, Joseph Leach1, Qi Liu2, Jianping Lu2, David Saloner1, and Michael D Hope1

1Radiology, University of California, San Francisco, San Francisco, CA, United States, 2Radiology, Changhai Hospital, Shanghai, People's Republic of China

346
8:15
Evaluation of Portal Vein System in patients after liver transplantation by Unenhanced MR Angiography Using Spatial Labeling with Multiple Inversion Pulses Sequence and by CT portography
hao tang1, daoyu hu, xiaoyan meng, zi wang, zhen li, and yanchun wang

1Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China


Power Pitch

Pitch: Brain Physiology: Flow, Oxygen, Metabolism

Power Pitch Theater B - Exhibition Hall Tuesday 8:15 - 9:15 Moderators: Molly Bright & Hanzhang Lu (no CME credit)

347
8:15
Long-term Cerebrovascular Dysfunction Following Repeated Mild Traumatic Brain Injury
Conner Adams1,2, Margaret Koletar1, Tina L. Beckett1, Lindsay Cahill3, Lydiane Hirschler4,5,6, Jan M. Warnking4,6, Emmanuel L. Barbier4,6, JoAnne McLaurin1,7, John G. Sled2,3, and Bojana Stefanovic1,2

1Sunnybrook Research Institute, Toronto, ON, Canada, 2Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Mouse Imaging Centre, The Hospital For Sick Children, Toronto, ON, Canada, 4Grenoble Institut des Neurosciences, Université Grenoble Alpes, Grenoble, France, 5Bruker Biospin MRI, Ettlingen, Germany, 6Inserm, U1216, Grenoble, France, 7Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada

348
8:15
Comparative Study of 3D Arterial Spin Labeling and dynamic contrast-enhanced MRI of Nasopharyngeal Carcinoma perfusion imaging
Bohan Xiao1, Zhaoxiang Ye1, Peiguo Wang1, Ying Liu1, Yingyu Zhao1, and Dandan Zheng2

1Key Laboratory of Cancer Prevention and Therapy, Department of Radiology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, People's Republic of China, 2MR Research China, GE Healthcare, Beijing, People's Republic of China

349
8:15
Non-contrast vascular compliance mapping using time-resolved VASO CBV imaging
Yang Li1,2, Deng Mao1,2, Jay J. Pillai1, and Hanzhang Lu1

1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Graduate School of Biomedical Sciences, UT Southwestern Medical Center, Dallas, TX, United States

350
8:15
Propagation Patterns of Cardiac-driven and Respiratory-driven Cerebrospinal Fluid Velocity Waves Characterized by Correlation Mapping in Conjunction with Asynchronous 2-Dimensional Phase Contrast Technique
Satoshi Yatsushiro1, Saeko Sunohara2, Mitsunori Matsumae3, and Kagayaki Kuroda1,2

1Graduate School of Science and Technology, Tokai University, Hiratsuka, Kanagawa, Japan, 2Graduate School of Engineering, Tokai University, Hiratsuka, Kanagawa, Japan, 3Department of Neurosurgery, Tokai University School of Medicine, Isehara, Kanagawa, Japan

351
8:15
Regionally differentiated cerebral blood flow increases during infancy measured with pCASL MRI
Qinlin Yu1,2,3,4, Huiying Kang1,5, Minhui Ouyang1,2, Yun Peng5, Fang Fang3,4, and Hao Huang1,2

1Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, PA, United States, 2Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 3School of Psychological and Cognitive Sciences, Peking University, Beijing, People's Republic of China, 4Peking-Tsinghua Center for Life Science, Peking University, Beijing, People's Republic of China, 5Department of Radiology, Beijing Children’s Hospital, Capital Medical University, Beijing, People's Republic of China

352
8:15
Cerebral blood flow as a marker for cortical parcellation
Roy Haast1, Dimo Ivanov1, Elia Formisano1, and Kâmil Uludağ1

1Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands

353
8:15
Changes in cerebral blood flow and default mode network connectivity following mTBI observed with pulsed arterial spin labeling
Natalie M. Wiseman1, Armin Iraji2, E. Mark Haacke2,3, and Zhifeng Kou2,3

1Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, MI, United States, 2Department of Biomedical Engineering, Wayne State University, Detroit, MI, United States, 3Department of Radiology, Wayne State University, Detroit, MI, United States

354
8:15
A Novel Approach to Measuring Cerebral Oxygen Extraction Fraction and Vascular Reserve Using MRI
Charles Cantrell1, Yong Jeong2, Kevin Midlash3, Parmede Vakil2, Sameer Ansari2, and Timothy J Carroll3

1Northwestern University, Chicago, IL, United States, 2Northwestern University, 3University of Chicago

355
8:15
Measurements of Oxygen Delivery and Consumption  Using Hematocrit Derived from Blood T1 Quantification
Feng Xu1,2,3, Wenbo Li1,2, Peiying Liu1,2, Hanzhang Lu1,2, John J. Strouse4, James J Pekar1,2, Peter C.M. van Zijl1,2, and Qin Qin1,2

1F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 2The Russell H. Morgan Department of Radiology and Radiology Science, Johns Hopkins University, Baltimore, MD, United States, 3Developing Brain Research Laboratory, Children's National Medical Center, Washington DC, DC, United States, 4Department of Medicine, Duke University, Durham, NC, United States

356
8:15
Simultaneous cerebral blood flow and bold oxygen level dependent signal assessments using multi-band multi-echo pseudo-continuous arterial spin labeling (M2-PCASL)
Shiyang Chen1, Junjie Wu2, Kyle Pate2, Xiaodong Zhong2,3, Bruce Crosson2,4, and Deqiang Qiu2

1Georgia Institute of Technology, Atlanta, GA, United States, 2Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, United States, 3MR R&D Collaborations, Siemens Healthcare, Atlanta, GA, United States, 4Department of Neurology, Emory University, Atlanta, GA, United States

357
8:15
Measuring Blood Oxygenation and Hematocrit with a Combined T2 and T1 Approach: Initial Experience in Humans
Thomas Christen1, Jia Guo1, Wendy Wei Ni1, Michael Moseley1, and Greg Zaharchuk1

1Radiology, Stanford University, Palo Alto, CA, United States

358
8:15
Whole-Brain Arteriography and Venography Using an Improved Velocity-Selective Saturation (VSS) Pulse Trains
Wenbo Li1,2, Feng Xu 1,2,3, Jing Liu1,4, Michael Schär1, Taehoon Shin5, Peter van Zijl1,2, Ye Qiao1, Bruce Wasserman1, and Qin Qin1,2

1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3Developing Brain Research Lab, Children’s National Medical Center, Washington, DC, United States, 4Department of Radiology, People’s Hospital, Guangzhou, People's Republic of China, 5Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland, Baltimore, MD, United States

359
8:15
Simultaneous acquisition of oxygen extraction fraction and cerebral blood flow during brain activation
Yayan Yin1, Yaoyu Zhang1, Yang Fan2, Bing Wu2, and Jia-Hong Gao1

1Center for MRI Research, Peking University, Beijing, People's Republic of China, 2MR Research China, GE Healthcare, Beijing, People's Republic of China

360
8:15
A Method for Quantitative Cerebrovascular Reserve
Yong Ik Jeong1, Charles G Cantrell1, Kevin Midlash2, Renee Qian, Parmede Vakil3, Sameer A Ansari3, Gregory Christoforidis2, and Timothy J Carroll2

1Northwestern University, Evanston, IL, United States, 2University of Chicago, 3Northwestern University

361
8:15
Robust Visualization of MCA Main Trunk by Improved Acceleration-Selective Arterial Spin Labeling (iAccASL) for Intracranial MR Angiography
Yuta Akamine1, Makoto Obara1, Osamu Togao2, Shuhei Shibukawa3, Masami Yoneyama1, Tomoyuki Okuaki4, and Marc Van Cauteren4

1Philips Electronics Japan, Shinagawa, Tokyo, Japan, 2Department of Clinical Radiology, Graduate School of Medical Science, Kyushu University, Fukuoka, Japan, 3Department of Radiology, Tokai University Hospital, Japan, 4Asia Pacific, Philips Healthcare, Shinagawa, Tokyo, Japan


Oral

Liver Quantitation

Room 310 Tuesday 8:15 - 10:15 Moderators: Sachin Jambawalikar & Eric Sigmund

362
8:15
Robust agreement between MRI and MRS hepatic proton density fat fraction despite biologically plausible variability in fat spectra in patients with nonalcoholic steatohepatitis
Cheng William Hong1, Adrija Mamidipalli1, Jonathan C Hooker1, Gavin Hamilton1, Tanya Wolfson2, Soudabeh Fazeli Dehkordy1, Scott B Reeder3, Rohit Loomba4, and Claude B Sirlin1

1Liver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, CA, United States, 2Computational and Applied Statistics Laboratory, University of California, San Diego, San Diego, CA, United States, 3Departments of Radiology, Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin, Madison, Madison, WI, United States, 4NAFLD Research Center, Division of Gastroenterology, Department of Medicine, University of California, San Diego, San Diego, CA, United States

MRI- and MRS-based proton density fat fraction (PDFF) techniques require accurate modeling of the multi-peak spectrum of triglycerides (TG) in order to achieve accurate hepatic fat quantification. However, variations in TG spectrum may lead to quantification variability. We performed a secondary analysis of adults with biopsy-confirmed nonalcoholic steatohepatitis undergoing confounder-corrected chemical-shift-encoded 3T MRI and MRS, and calculated variant PDFF values using a range of biologically plausible spectral models. Within the range of fat fractions seen in the liver, PDFF estimation using MRI and MRS was robust to variability in the TG spectrum. Greater bias was seen when the baseline fat fraction was higher, but remained low. 

363
8:27
Free-breathing Fat Quantification in the Liver Using a Multiecho 3D Stack-of-Radial Technique: Investigation of Motion Compensation and Quantification Accuracy
Tess Armstrong1,2, Thomas Martin1,2, Alto Stemmer3, Xinzhou Li1,4, Yutaka Natsuaki5, Kyunghyun Sung1,2, and Holden H. Wu1,2

1Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States, 2Physics and Biology in Medicine, University of California Los Angeles, Los Angeles, CA, United States, 3Siemens Healthcare GmbH, Erlangen, Germany, 4Bioengineering, University of California Los Angeles, Los Angeles, CA, United States, 5Siemens Healthcare, Los Angeles, CA, United States

Multiecho Cartesian MRI methods can non-invasively quantify liver fat, but are susceptible to motion artifacts and limited by breath-hold (BH) imaging. We have developed a new free-breathing (FB) liver fat quantification technique using 3D stack-of-radial imaging (Radial). In this work, we further investigate motion compensation and quantification accuracy for FB Radial. In n=11 healthy volunteers, FB Radial fat quantification demonstrated significant correlation (ρ > 0.9876) and low mean difference (< -1.19%) compared to BH Cartesian and BH single-voxel spectroscopy. FB Radial can potentially achieve accurate whole-liver fat quantification with either a fast 1-2 minute scan or a 3-minute self-navigated scan.

364
8:39
Linearity, Bias, and Precision of Proton-Density Fat Fraction for Liver Fat Quantification: A Meta-Analysis
Ali Pirasteh1, Mustafa Bashir2, Scott B Reeder3, Claude B Sirlin4, An Tang5, Guido M Kukuk6, Jens-Peter Kuhn7, Holger Hetterich8, Ji Soo Song9, and Takeshi Yokoo1

1Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 2Radiology, Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC, United States, 3Radiology, Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin, Madison, WI, United States, 4Liver Imaging Group, Radiology, University of California San Diego, San Diego, CA, United States, 5Radiology, University of Montréal, Montréal, QC, Canada, 6Radiology, University of Bonn, Bonn, Germany, 7University Greifswald, Greifswald, Germany, 8Ludwig-Maximilian University Hospital, Munich, Germany, 9Chonbuk National University Medical School and Hospital, Jeonju, Korea, Republic of

Proton-density fat fraction (PDFF) is a quantitative imaging biomarker (QIB) of hepatic triglyceride concentration and steatosis. Liver PDFF can be measured noninvasively using magnetic resonance imaging (MRI) or spectroscopy (MRS). Various MRI-based PDFF methods have been validated in single-center studies at 1.5T or 3T field strength using a specific reconstruction algorithm on a single vendor platform. However, its technical performance as a QIB is unknown in a multi-center, multi-vendor setting. In this meta-analysis of previously published data from multiple studies, we demonstrated excellent linearity, negligible bias, and high repeatability/reproducibility of MRI-PDFF across different field strengths, vendors, and reconstruction algorithms.

365
8:51
Monitoring Resolution of Fatty Liver Disease with MRI following Bariatric Surgery: A Prospective, Multi-center Study
B. Dustin Pooler1, Curtis Wiens1, Alan McMillan1, Nathan Artz2, Alexandra Schlein3, Yesenia Covarrubias3, Jonathan Hooker3, Jeffrey Schwimmer3, Luke Funk1, Guilherme Campos4, Jacob Greenberg1, Garth Jacobsen3, Santiago Horgan3, Claude B. Sirlin3, and Scott B. Reeder1

1University of Wisconsin, Madison, WI, United States, 2St. Jude Children's Research Hospital, Memphis, TN, 3University of California-San Diego, San Diego, CA, 4Viginia Commonwealth University, Richmond, VA

The temporal resolution of fatty liver disease following bariatric surgery is poorly understood.  We used a validated chemical shift encoded MRI (CSE-MRI) method to measure liver proton density fat fraction (PDFF) as a biomarker of liver fat.  We followed a cohort of 50 obese adults undergoing bariatric surgery with pre-operative very low calorie diet (VLCD) and conclude that average liver PDFF normalizes to <5% by 6 months following bariatric surgery.  Normalization of liver fat is seen in 79% of patients who lower body mass index (BMI) by ≥10 mg/k2 and 83% of patients who lose ≥30 kg.

366
9:03
A paradoxical systemic bias in Gd-EOB-DTPA-enhanced T1 relaxometry of the liver: a comparison of SMART1Map and MOLLI.
Akira Yamada1, Sachie Fujita1, Yoshihiro Kitoh2, Yasuo Adachi2, Hayato Hayashibara2, Aya Shiobara2, Atsushi Nozaki3, Yuji Iwadate3, Glenn S Slavin4, Yasunari Fujinaga1, and Masumi Kadoya1

1Department of Radiology, Shinshu Univ. School of Medicine, Matsumoto, Japan, 2Department of Radiology, Shinshu Univ. Hospital, Matsumoto, Japan, 3GE Healthcare Japan, Japan, 4GE Healthcare, United States

SMART1Map (saturation method using adaptive recovery times for cardiac T1 mapping) is a new single-point T1 mapping technique that directly measures true T1 unlike look-locker approaches. The feasibility of Gd-EOB-DTPA-enhanced T1 relaxometry of the liver using SMART1Map was evaluated comparing with modified look-locker inversion recovery (MOLLI). A significant paradoxical systemic bias was observed between and within SMART1Map and MOLLI in Gd-EOB-DTPA-administrated liver, although SMART1Map may be more reproducible than MOLLI in the rest of conditions. Careful consideration should be given to the effect of the paradoxical systemic bias in the evaluation of liver function using Gd-EOB-DTPA-enhanced T1 relaxometry.

367
9:15
Determining the T1 of the water in the liver by modelling the effects of fat, iron and off-resonance frequencies on MOLLI T1 measurements
Ferenc Emil Mozes1, Elizabeth Mary Tunnicliffe1, Thomas Marjot2, Christina Kim Levick1,3, Michael Pavlides1,3, and Matthew David Robson1

1University of Oxford Centre for Magnetic Resonance Research, University of Oxford, Oxford, United Kingdom, 2Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom, 3Translational Gastroenterology Unit, University of Oxford, Oxford, United Kingdom

The frequency dependence of balanced steady-state free precession signals causes significant alterations in modified Look-Locker inversion recovery T1 measurements of livers with fat accumulation, leading to either under- or over-estimation of liver T1 values. This is further to the already-known influence of iron. The present study shows a possibility to correct for these effects, yielding a T1 measurement that represents the T1 of the water component independent of the fat and is tested both in phantoms and human participants.

368
9:27
Bayesian prediction for insufficient liver enhancement in gadoxetic acid-enhanced hepatobiliary phase imaging
Yuki Mori1, Utaroh Motosugi1, Tatsuya Shimizu1, Shintaro Ichikawa1, and Hiroshi Onishi1

1Department of Radiology, University of Yamanashi, Chuo, Japan

Insufficient liver enhancement due to decreased liver function is a major limitation in gadoxetic acid-enhanced hepatobiliary phase imaging (HBP). Recent research shows that insufficient liver enhancement is associated with liver function tests including total bilirubin level, Child-Pugh classifications, indocyanine green tests, and liver stiffness measured by MR elastography. However, none of these tests have been practically used for determining the patients with insufficient liver enhancement before MR imaging. We used univariate tests and logistic regression to determine predictive factors and performed cross validation to reveal utility of Bayesian method for predicting patients with insufficient liver enhancement in gadoxetic acid-enhanced HBP.

369
9:39
Flexible and Efficient 2D Radial TSE T2 Mapping with Tiered Echo Sharing and with “Pseudo” Golden Angle Ratio Reordering
Yutaka Natsuaki1, Mahesh Bharath Keerthisavan2, Ali Bilgin2,3, Bradley D Bolster4, Kevin J Johnson5, Xiaoming Bi1, Gerhard Laub6, and Maria I Altbach7

1Siemens Healthcare, Los Angeles, CA, United States, 2Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States, 3Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 4Siemens Healthcare, Salt Lake City, UT, United States, 5Siemens Healthcare, Tucson, AZ, United States, 6Siemens Helathcare, San Francisco, CA, 7Medical Imaging, University of Arizona, Tucson, AZ, United States

There has been recent increased interest in quantitative T2 mapping for accurate diagnosis of many pathological disorders.  2D radial TSE with tiered echo sharing and bit-reverse view ordering acquires TE data for T2 mapping in an efficient and motion robust fashion, but imposes limits on the choice of Echo Train Length (ETL).  The current work introduces a novel view ordering algorithm with “pseudo” Golden Angle ratio (pGA) that removes restrictions in the ETL.  With this algorithm, the scan time of 2D radial TSE is reduced (by18% in this study) without a compromise in image quality or in T2 mapping accuracy.

370
9:51
Assessment of Nonalcoholic Fatty Liver Disease (NAFLD) Activity Score (NAS) with MR Elastography (MRE)
Meng Yin1, Alina M. Allen2, Kevin J. Glaser1, Sudhakar K. Venkatesh1, Taofic Mounajjed3, Vijay Shah2, and Richard L. Ehman1

1Radiology, Mayo Clinic, Rochester, MN, United States, 2Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States, 3Anatomic Pathology, Mayo Clinic, Rochester, MN, United States

To investigate the utility of a hepatic imaging protocol “hepatogram”, which includes multi-parametric MR Elastography (MRE) and fat fraction assessment, in predicting nonalcoholic fatty liver disease (NAFLD) activity score (NAS: 0-8). In both preclinical and clinical subjects with histology-proven NAFLD, generalized linear models of liver stiffness, damping ratio and fat fraction successfully distinguished each NAS score with excellent accuracy (AUROC>0.89 for all). Misclassifications in distinguishing steatohepatitis (NAS≥3) from NAFLD (NAS<3) was only 2/64 mice and 3/51 human subjects. Our findings indicate the hepatogram imaging protocol can predict NAS score and may be useful to monitor NAFLD disease progression and regression.

371
10:03
Accuracy and Reproducibility of Iron Quantification using Ultra-Short TE Imaging at 1.5T and 3.0T
Curtis N Wiens1, Ante Zhu1,2, Kevin M Johnson1,3, Scott B Reeder1,2,3,4,5, and Diego Hernando1,3

1Radiology, University of Wisconsin, Madison, WI, United States, 2Biomedical Engineering, University of Wisconsin, Madison, WI, United States, 3Medical Physics, University of Wisconsin, Madison, WI, United States, 4Medicine, University of Wisconsin, Madison, WI, United States, 5Emergency Medicine, University of Wisconsin, Madison, WI, United States

This work examined the accuracy and reproducibility of ultra-short TE (UTE) R2* mapping in patients with liver iron overload.  Fifteen subjects with known or suspected liver iron overload were scanned at 1.5T and 3.0T using a radial UTE, two Cartesian multi-echo, gradient-echo acquisitions, and an R2-based (FerriScan) reference acquisition.  UTE R2* measurements demonstrated excellent reproducibility across field strengths (with expected linear increase with field strength) and high correlation with liver iron concentration. Cartesian approaches offered excellent reproducibility for R2*<1000s-1.  However R2*>1000s-1, neither Cartesian approach were reproducible across field strength, suggesting that the range of R2* had been surpassed.


Oral

The Matrix: Collagen Function & Microstructure

Room 311 Tuesday 8:15 - 10:15 Moderators: Ashley Williams & Martijn Froeling

372
8:15
7T Diffusion Tensor Imaging of High Mechanical Stress Achilles Tendon-to-Bone Interface
Simone Angela Winkler1, Lara Kuntz1,2, Christoph Leuze1, Hossein Nejadnik1, Laura J Pisani1, and Heike Daldrup-Link1

1Dept of Radiology, Stanford University, Stanford, CA, United States, 2Clinics of Orthopedics and Chair of Cellular Biophysics, Technische Universitaet Muenchen, Munich, Germany

We present imaging analysis using MRI of the Achilles tendon-to-bone interface (“enthesis”) to investigate on the four distinct zones responsible for mechanical force transfer. Conventional T1- and T2-weighted imaging in humans yields very low MR signal. We therefore present T1-weighted FLASH 3D imaging at ultra high-field (7T), using a porcine sample from a minipig leg. We were able to identify the four zones (fibrous connective tissue, uncalcified fibrocartilage, calcified fibrocartilage, and bone) in both T1 and diffusion tensor imaging (DTI). 

373
8:27
3D UTE-T2* analysis of diseased Achilles tendons and the correlation with clinical score
Yang Qiao1, Hong-Yue Tao1, Yi-Wen Hu1, Jianxun Qu2, Kui Ma3, Zi-Ying Wu3, and Shuang Chen1

1Department of Radiology, Fudan University Affiliated Huashan Hospital, Shanghai, People's Republic of China, 2MR Research China, GE Healthcare, Shanghai, People's Republic of China, 3Department of Sports Medicine, Fudan University Affiliated Huashan Hospital, Shanghai, People's Republic of China

This study used 3D UTE-T2*, a novel quantitative technique with potential short-T2* relaxations to investigate T2* value in diseased Achilles tendon(AT) and correlation between T2* value and AOFAS, ATRS scores. Fifteen patients with AT disease and ten healthy controls matched sex, age, BMI were included. The results showed T2* values of insertion(INS), middle(MID), muscle-tendon junction(MTJ) and bulk region of AT in patients were statistically higher than healthy controls and negatively correlated with AOFAS, ATRS scores, which suggests UTE-T2* may be a promising marker for the detection of matrix changes in AT and give a precise guidance to clinical outcome.

374
8:39
Difference Image Ultra-Short Echo Time T2* Mapping Using a 3D Cones Trajectory
Amin Nazaran1,2, Grayson Tarbox3, Randy Hartley4, and Neal Bangerter4,5

1Electrical Engineering, Brigham Young University, Provo, UT, United States, 2University of California San Diego, San Diego, CA, United States, 3Brigham Young University, Provo, UT, United States, 4Electrical Engineering, Brigham Young University, 5Radiology, University of Utah

This study introduces a methodology for detecting subtle variations in tissues with very rapid T2* decay through a difference image ultra-short T2* mapping technique using a 3D cones k-space trajectory.  The new method is demonstrated in both a normal and surgically repaired Achilles tendon.  The resulting UTE images were differenced and T2* values were calculated using a mono-exponential least squares fit on a voxel by voxel basis.  The ultrashort T2* maps yield very consistent short T2* values in healthy tendon of 0.3 – 0.5 ms, while notable variations and elevations of T2* values are observed in the surgically repaired tendon. 

375
8:51
Bi-Component Ultra-short Echo-Time T2* Analysis in Patients with Patellar Tendinopathy
Fang Liu1, John Wilson2, and Richard Kijowski1

1Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Orthopedics, University of Wisconsin-Madison, Madison, WI

A bi-component ultra-short echo-time (UTE) T2* mapping sequence was performed on the knees of 10 patients with patellar tendinopathy and 10 healthy volunteers at 3T.  The fraction of the fast relaxing water component (FF) and the T2 relaxation times of the fast relaxing (T2*F,) and slow relaxing (T2*S) water components of patellar tendon were measured.  Patients with patellar tendinopathy had significantly lower FF (P=0.007), significantly higher T2*F (P=0.014), and similar T2*S (P=0.10) of patellar tendon when compared to healthy volunteers.  Our results suggest that bi-component UTE T2* analysis can detect early compositional and microstructural changes in degenerative tendon.

376
9:03
Rotator Cuff Tendon Assessment Using Magic-Angle Insensitive 3D Ultrashort Echo Time Cones Magnetization Transfer (UTE-Cones-MT) Imaging and Modeling
Yanchun Zhu1, Yajun Ma1, Jiang Du1, and Eric Y Chang1,2

1Department of Radiology, University of California, San Diego, La Jolla, CA, United States, 2Radiology Service, VA San Diego Healthcare System, San Diego, CA, United States

The rotator cuff tendon (RCT) is the primary dynamic stabilizer of the glenohumeral joint. However magic angle effect decrease the sensitivity of MRI in assessment of RCT. The purpose of our study is to utilize the 3D ultrashort echo time Cones sequence with magnetization transfer preparation (UTE-Cones-MT) and two-pool quantitative MT modeling to assess the RCT.

377
9:15
Diffusion Tensor Imaging of the Anterior Cruciate Ligament Graft
Pieter Van Dyck1, Eline De Smet1, Martijn Froeling2, Peter Verdonk3, Michaël Torfs1, Pim Pullens1, Jan Sijbers4, Paul M Parizel1, and Ben Jeurissen4

1Dept. of Radiology, University Hospital Antwerp, Edegem, Belgium, 2Dept. of Radiology, University Medical Center Utrecht, Netherlands, 3Dept. of Orthopedics, Monica Orthopedic Research (MoRe) Foundation, Monica Hospital, Belgium, 4Vision Lab, Dept. of Physics, University of Antwerp, Belgium

Anterior cruciate ligament (ACL) reconstruction using a tendon graft remains the standard of care for ACL injuries. Postoperatively, the graft undergoes a biologic transition from tendinous to ligamentous in appearance. Despite substantial research efforts, little is known about the human ACL graft ligamentization process. Much of the current knowledge on graft ligamentization have been derived from biopsy studies. However, biopsies are invasive and suffer from sampling error. Our study demonstrates the feasibility and reliability of diffusion tensor imaging (DTI) for visualization and quantification of the ACL graft and supports its potential to serve as a biomarker to assess graft maturity.

378
9:27
Advances in Angle Sensitive MRI: Towards in vivo analysis of collagen fibre tracts in the Anterior Cruciate Ligament
Karyn E Chappell1, Quentin Herreros2, Donald W McRobbie3, and Djordje Brujic4

1Surgery and Cancer, Imperial College London, London, United Kingdom, 2Institut de Physique Nucléaire de Lyon, Lyon, France, 3Medical Physics & Radiation Safety, Flinders Medical Centre, Adelaide, Australia, 4Mechanical Engineering, Imperial College London, London, United Kingdom

There is great interest in collagen MR imaging due to its non-invasive nature. To be able to detect early structural changes in collagen the main magnetic field must move around the patient.  

A new rotatable MR system enabling in vivo Angle Sensitive MRI was designed and its prototype has been built. Key elements of the new method are: optimisation of scanning directions, collagen orientation distribution computation and fibre tract reconstruction.  

We have proved that nine scans in optimal directions achieve satisfactory accuracy. Previous Angle Sensitive MRI times are almost halved whilst analysis time is shortened by more than 100 times.


379
9:39
Collagen fiber to magnetic field angle dependence in human meniscus – a preliminary T2* MR-microscopy study at 7T
Benedikt Hager1,2, Sonja Walzer3, Vladimir Juras1,4, Martin Zalaudek1, Xeni Deligianni5, Oliver Bieri5, Andreas Berg6, Joachim Friske1, Markus Schreiner3, Reinhard Windhager3, and Siegfried Trattnig1,2

1High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 2Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, 3Department of Orthopaedic Surgery, Medical University of Vienna, Vienna, Austria, 4Department of Imaging Methods, Institute of Measurement Science, Slovak Academy of Sciences, Bratislava, Slovakia, 5Department of Radiology, Division of Radiological Physics, University of Basel Hospital, Basel, Switzerland, 6Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria

We evaluated the fiber-to-field dependence of a meniscal specimen using T2* mapping on high-field 7T MRI in combination with an MR microimaging insert and validated the results with histology. We found that, different structures of the meniscus behave very differently with orientation to the magnetic field. For example, short T2/T2* tendon-like structure located in the external circumference showed strongest T2* dependence reflecting the anisotropic nature of these structures and consequential incomplete averaging of dipolar coupling. The results shown here are the first MR Microscopy evaluations of the orientational dependence of T2* relaxation in human meniscus.

380
9:51
The magic angle effect can (partially) explain load-induced increases in meniscal T2 and T1ρ
Valentina Mazzoli1,2,3, Danny Tsui2, Larry de Graaf2, Klaas Nicolay2, Andre M Sprengers3, Dennis Janssen3, Nico Verdonschot3, Aart J Nederveen1, and Gustav J Strijkers4

1Department of Radiology, Academic Medical Center, Amsterdam, Netherlands, 2Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 3Orthopaedic Research Lab, Radboud UMC, Nijmegen, Netherlands, 4Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, Netherlands

Often, knee injury and disorders are caused by or lead to abnormal biomechanical loading patterns in the knee joint menisci. Quantitative information on in vivo loading patterns is therefore in high demand to evaluate therapy and prevent further damage. T and T2 in meniscus were shown to increase upon application of compressive load, although the mechanisms leading to changes remain unclear. In this work we apply compressive load on the meniscus of volunteers and one cadaver and show that compression-induced internal fiber reorganization may manifest as the magic angle effect, which may be responsible for load-induced T2 and T increases.  

381
10:03
Quantitative Off Resonance Saturation 3D UTE Imaging
Michael Carl1, Yajun Ma2, and Jiang Du2

1GE Healthcare, San Diego, CA, United States, 2UCSD, CA, United States

Off-resonance saturation (ORS) is a tool which can be used in UTE magnetic resonance imaging to selectively reduce short T2 signals. Here we develop a simple quantitative theoretical model. The theoretical equations can be used to determine the ORS sequence parameters such as foff and θORS to maximize short T2 contrast.


Oral

Novel Pulse Sequences

Room 312 Tuesday 8:15 - 10:15 Moderators: Priti Balchandani & Klaus Scheffler

382
8:15
Extended RF shimming: Sequence level parallel transmission optimization applied to steady state free precession MRI of the heart
Arian Beqiri1, Anthony N Price1,2, Joseph V Hajnal1,2, and Shaihan J Malik1

1Biomedical Engineering and imaging Sciences, King's College London, London, United Kingdom, 2Centre for the Developing Brain, King's College London, London, United Kingdom

Balanced steady-state free precession (bSSFP) cardiac MRI benefits greatly from reduced repetition time (TR). Minimum TR is often limited by specific absorption rate (SAR) and hardware constraints. RF shimming can be used with parallel transmission (PTx) to work within such constraints, but direct minimization of TR is not straightforward since the constraints themselves vary as TR is reduced.

We present an extended RF shimming framework in which PTx degrees of freedom are simultaneously optimised with pulse sequence properties. The result is minimum TR bSSFP sequences that operate at the SAR limits and within hardware constraints for 3T cardiac MRI.


383
8:27
Multi-Contrast EPI for use as a Neuro MR Scout and Screening
Mathias Engström1, Enrico Avventi2,3, Ola Norbeck2,3, Henric Rydén2,3, and Stefan Skare2,3

1Applied Science Laboratory, GE Healthcare, Uppsala, Sweden, 2Dept. of Neuroradiology, Karolinska University Hospital, Stockholm, Sweden, 3Dept. of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden

This work describes a new sub-minute EPI-based sequence that produce T2*, T2, T2-FLAIR, T1-FLAIR, DWI, and ADC images as well as a 3-plane localizer as an alternative to the conventional scout, enabling a clinical screening at the beginning of the exam. 

384
8:39
High resolution imaging by phase encoded xSPEN MRI
Zhiyong Zhang1, Michael Lustig2, and Lucio Frydman1

1Department of Chemical Physics, Weizmann Institute of Science, Rehovot, Israel, 2Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, United States

We have recently introduced cross-term SPatiotemporal ENcoding (xSPEN), a technique with exceptional resilience to field heterogeneities. Like other single-shot methods, however, xSPEN’s resolution and SNR are intrinsically limited. This study explores a multi-scan, phase-encoded extension of xSPEN, which improves sensitivity while increasing resolution along both the phase-encoded and the slice-selection dimensions simultaneously. This reflects xSPEN’s unusual kernel whereby a y-axis can be sampled by a z-gradient and viceversa. Furthermore, as each phase-encoded xSPEN scan provides an entire 2D image, each low-resolution xSPEN scan in the set may be used to correct motions leading to very high definition 3D MRI capabilities.

385
8:51
Improved signal uniformity for balanced steady-state free precession by employing Direct Signal Control parallel transmission
Francesco Padormo1 and Priti Balchandani1

1Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States

We present a method to minimize signal intensity variations observed when performing balanced steady state free precession imaging in non-uniform B0 and B1+ fields. This is achieved by harnessing parallel transmission, with RF shims calculated in order to produce the most uniform signal for the desired tissues given measured B0 and B1+ field maps.

386
9:03
Faster than Mulitband ... Advanced Pseudo Fourier Imaging's (API) response to the current state of the art
Nishant Zachariah1, Jason Langley2, Justin Romberg1, and Xiaoping P. Hu3

1Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States, 2Center for Advanced Neuroimaging, University of California at Riverside, CA, United States, 3Department of Bioengineering, University of California at Riverside, CA, United States

Multiband (MB) imaging is limited in its acceleration factor by the high correlation that exists between receiver coils. In this work, we present a novel technique, Advanced Pseudo Fourier Imaging (API) which achieves parallel excitation beyond that which is currently possible using multiband imaging. In doing so, API forms a generic framework for seamless transition from 2D to 3D imaging. Unlike MB, API is less sensitive to the RF excitation profile in its slice reconstruction by virtue of the introduced phase variations. We demonstrate the viability of API through 1D simulations and 3D head phantom data acquired at 3T. 

387
9:15
Whole Brain Inversion Recovery Diffusion Weighted Imaging Using Slice-Shuffled Acquisition
Hua Wu1, Qiyuan Tian2,3, Christian Poetter1, Kangrong Zhu2, Matthew J Middione4, Adam B Kerr2, Jennifer A McNab3, and Robert F Dougherty1

1Center for Cognitive and Neurobiological Imaging, Stanford University, Stanford, CA, United States, 2Department of Electrical Engineering, Stanford University, Stanford, CA, United States, 3Department of Radiology, Stanford University, Stanford, CA, United States, 4Applied Sciences Laboratory West, GE Healthcare, Menlo Park, CA, United States

Combined acquisition of diffusion weighted MRI and T1 relaxation allows us to extract information about the microstructures of human brain on a sub-voxel level. We design an inversion recovery pulse sequence with diffusion weighting using the slice-shuffled technique to accelerate the T1 measurement and demonstrate whole brain scans acquired in under 20 minutes. We show potential applications of the sequence in differentiating the T1 relaxation of compartments with different diffusion properties within a voxel . 

388
9:27
Whole-brain multi-slice multi-spoke parallel transmit RF pulse design in the large flip angle regime at 7 Tesla
Vincent Gras1, Alexandre Vignaud1, Alexis Amadon1, Franck Mauconduit2, Denis Le Bihan1, and Nicolas Boulant1

1UNIRS, CEA/DRF/I2BM/Neurospin, Gif-sur-Yvette, France, 2Siemens Healthcare, Saint Denis, France

At ultra-high field, transmit RF field inhomogeneity mitigation methods exploiting parallel transmission and multi-spoke pulses are readily applicable for brain imaging with small flip angle (FA) protocols. The extension to large FAs yet appears more challenging due to the inherent computationally extensive calculations. Dealing now with multi-slice applications, where specific absorption rate (SAR) issues often come into play, a SAR-aware slice-specific pulse design algorithm can improve significantly the output. This work thus presents a large FA slice-specific multi-spoke pulse design approach enforcing explicitely SAR constraints and, to reduce computations, where the spin dynamics is approximated with Average Hamiltonian Theory.

389
9:39
Velocity Encoded and Compensated Multi-Spoke RF Pulses for Flow Quantification at Ultra-High Fields
Simon Schmidt1, Sebastian Flassbeck1, Mathies Breithaupt1,2, Peter Bachert1, Mark E. Ladd1, and Sebastian Schmitter1,3

1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Institute for Forensic Medicine and Traffic Medicine, University Hospital Heidelberg, Heidelberg, Germany, 3Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany

In this work we present and demonstrate a novel technique to generate multi-spoke RF excitation with arbitrary zeroth and first gradient moments, allowing for clean flow imaging without errors. The RF pulses are demonstrated in flow phantoms and in-vivo at 7 Tesla, paving the road for 4D flow imaging using pTX spoke excitation.

390
9:51
A single-channel universal SPINS pulse for calibration-free homogeneous excitation without PTX
Ronald Mooiweer1,2, Joseph V Hajnal1, and Shaihan J Malik1

1Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 2UMC Utrecht, Utrecht, Netherlands

A universal single-channel pulse was created that improves excitation homogeneity at 3T, for low flip angles. This method does not require subject specific calibration nor a PTX system, thus making it widely applicable. Though even better homogeneity could be achieved through the use of PTX or subject-specific pulse design, in our study the universal single-channel pulse always outperformed the quadrature mode excitation. This could be used to create more uniform contrast in MP-RAGE imaging. 

391
10:03
Optimal control B1-robust T2 preparation
Martin A Janich1, Ana Beatriz Solana Sánchez1, and Florian Wiesinger1

1GE Global Research, Munich, Germany

T2 is an important MR imaging contrast, including visualizing edema, myocarditis, separating coronary lumen from myocardium, as well as cerebrospinal fluid from gray and white matter. For diagnostic accuracy, it is important to achieve uniform T2-weighting throughout the imaging field-of-view. This is often not achievable because of non-uniform B1, especially at ultra-high magnetic field. This limitation was overcome by numerical optimization of a T2 preparation module. The optimal control T2 preparation pulse achieved good T2 contrast despite ±40% B1 variation and was scalable to achieve different T2 weighting times. Evaluation was done with Zero-TE imaging in the human brain at 3T.


Oral

From Aging Brain to Alzheimer's Disease

Room 313A Tuesday 8:15 - 10:15 Moderators: Eric Achten & Masaaki Hori

392
8:15
Age-related neuropathologies associated with white matter hyperintensities burden: a study of a community cohort of older adults.
Nabil Alqam1, Arnold Evia1, Luis Filipe Campos Cardoso1, Lucas Fagundes Lopes1, Diego Vieira Pereira1, Julie A. Schneider2,3,4, Sue E. Leurgans2,3, David A. Bennett2,3, and Konstantinos Arfanakis1,2,5

1Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States, 3Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, United States, 4Department of Pathology, Rush University Medical Center, Chicago, IL, United States, 5Department of Diagnostic Radiology, Rush University Medical Center, Chicago, IL, United States

White­ matter hyperintensities (WMH) are lesions commonly observed in the brain of older adults, and have been associated with lower cognitive function, lower motor performance, and increased risk of dementia. The purpose of this work was to investigate the neuropathologic correlates of WMH burden by combining ex-vivo MRI and pathology on a large community cohort of older adults.

393
8:27
Age-related changes in cerebrovascular reactivity and their relationship to cognition and vascular risk: A four-year longitudinal study
Shin-Lei Peng1,2, Xi Chen3, Yang Li1, Karen M Rodrigue3, Denise C Park3, and Hanzhang Lu1

1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Department of Biomedical Imaging and Radiological Science, China Medical University, 3Center for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas

Although cerebrovascular factors are the cause of cognitive impairment, the vascular decline in aging have not been characterized. In this work, we present four-year longitudinal cerebrovascular reactivity (CVR) data measured in 116 individuals. Our data revealed temporal lobe showed the fastest CVR decline and middle age manifested the fastest CVR decline. Vascular risk of hypertension results in a lower CVR when compared to normal and well-controlled subjects. Individuals with poorer general cognitive status, as indexed by a low mini-mental-state-exam (MMSE), had a lower CVR compared to participants with higher MMSE scores. These findings help elucidate age-related decline in brain hemodynamics.

394
8:39
Cerebral Arteries Hemodynamics in Alzheimer's Disease Assessed by Phase-Contrast Velocity Mapping
Reyes García de Eulate1, Irene Goñi2, Alvaro Galiano1, Marta Vidorreta3, Miriam Recio4, Mario Riverol4, Jose Luis Zubieta1, and María Fernández-Seara1,2

1Radiology, University of Navarra Hospital, Pamplona, Spain, 2Biomedical Engineering, TECNUN, University of Navarra, San Sebastian, Spain, 3Center for Functional Neuroimaging, University of Pennsylvania, Philadelphia, United States, 4Neurology, University of Navarra Hospital, Pamplona, Spain

Vascular disease increases the risk of Alzheimer's disease. The assessment of vascular dysfunction in subjects at risk for AD has the potential to contribute to the disease early diagnosis and management. In this work, the phase-contrast velocity mapping MRI technique was used to evaluate cerebral hemodynamics in patients with cognitive dysfunction and healthy controls. Results showed significant differences in hemodynamic parameters (velocity and flow) across groups with lower mean values in the AD and MCI groups compared to the CO group. PC-MRI can be used to assess hypoperfusion in an early stage of AD.

395
8:51
Association of cerebral blood flow and amyloid burden in autosomal dominant Alzheimer’s disease
Lirong Yan1, Collin Liu2, Koon-Pong Wong3, Sung-Cheng Huang3, John Ringman2, and Danny JJ Wang1

1Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States, 2Neurology, University of Southern California, Los Angeles, CA, United States, 3University of California Los Angeles, United States

The purpose of this study was to investigate the association of cerebral blood flow alternation with cerebral amyloid deposition in autosomal dominant Alzheimer’s disease. Cross-subject negative correlation between cerebral blood flow and amyloid deposition was observed, indicating brain regions with high amyloid deposition may be associated with hypoperfusion. Our finding suggests cerebral hypoperfusion may contribute to the onset and progression of AD.

396
9:03
Association of vascular risk factors with cerebral metabolic rate
Kevin King1, Min Sheng2, Peiying Liu3, Christopher Maroules4, Craig Rubin5, Ron Peshock6, Roderick McColl7, and Hanzhang Lu8

1Huntington Medical Research Institutes, Pasadena, CA, United States, 2Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 3Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, 4Radiology, UT Southwestern Medical Center, Dallas, TX, 5Geriatrics, UT Southwestern Medical Center, Dallas, TX, United States, 6Radiology, Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States, 7Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 8Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States

Vascular risk factors that confer a susceptibility for dementia are thought to result in silent brain changes decades before disease onset.  We hypothesized that vascular risk factors would be associated decreased Cerebral Metabolic Rate of Oxygen consumption (CMRO2).   CMRO2 was derived from Arterial Spin Labelling cerebral blood flow (CBF) and oxygen extraction fraction (OEF) from TRUST MRI in this IRB approved study with informed consent on 70 participants.  In stepwise linear regression higher diastolic blood pressure was correlated with decreased CMRO2 but was not associated with CBF, suggesting mechanisms other than insufficient blood flow underlie the association with metabolic rate.  

397
9:15
One-year aerobic exercise increases regional cerebral blood flow in anterior cingulate cortex: a blinded, randomized trial in patients with amnestic Mild Cognitive Impairment
Binu P. Thomas1, Takashi Tarumi2, Min Sheng1, Benjamin Y. Tseng2, Kyle Womack3, Munro C. Cullum4, Rong Zhang2,5, and Hanzhang Lu1,6

1Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States, 2Institute for Exercise and Environmental Medicine, Texas Health Presbyterian Hospital, Dallas, TX, United States, 3Department of Neurology and Neurotherapeutic, UT Southwestern Medical Center, Dallas, TX, United States, 4Department of Psychiatry, UT Southwestern Medical Center, Dallas, TX, United States, 5Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States, 6Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States

Amnestic mild cognitive impairment (MCI) represents the early stage of Alzheimer’s disease (AD). Much research has focused on preventing the inevitable decline of MCI to AD. Aerobic exercise is considered a viable choice, and is shown to improve cognitive function in MCI. We focus on understanding the mechanisms that lead to this improvement. Pseudo-continuous-arterial-spin-labeling (PCASL) was used to assess resting cerebral blood flow (CBF) in two MCI groups. One group performed aerobic exercise, while another non-aerobic stretching. CBF was measured before and after training. CBF increase in the anterior-cingulate-cortex (ACC) was the proven mechanism that improves cognitive function in MCI. 

398
9:27
Cross-sectional and Longitudinal Cerebral Blood Flow Changes in the Progression from Normal Cognition to Alzheimer’s Disease Measured with Continuous Arterial Spin Labeling (CASL)
Wenna Duan1, H. Michael Gach2, Arvind Balachandrasekaran3, Parshant Sehrawat1, Ashish B. Bhumkar1, Paresh B. Boraste1, James T. Becker4, Oscar L. Lopez5, and Weiying Dai1

1Department of Computer Science, Binghamton University (SUNY), Binghamton, NY, United States, 2Department of Radiation Oncology, Washington University, Saint Louis, St. Louis, MO, United States, 3Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, United States, 4Department of Psychology, University of Pittsburgh, Pittsburgh, PA, United States, 5Department of Psychiatry and Neurology, University of Pittsburgh, Pittsburgh, PA, United States

Cross-sectional and longitudinal analysis of cerebral blood flow (CBF) versus cognitive status were performed in an elderly cohort. Voxel-based ANOVA was used to test the CBF difference between normal control (NC), mild cognitive impairment (MCI) and Alzheimer’s Disease (AD) groups at the baseline. Eight significant clusters were found between groups. The longitudinal CBF change in each cluster was compared across 4 longitudinal groups (stable NC, NC-to-MCI, stable MCI, and MCI/AD-to-AD) using a multiple linear regression model. The results indicated that CBF rises in AD-related regions of the brain during MCI and then drops dramatically in advanced MCI or early AD.

399
9:39
Effects of transactive response DNA-binding protein 43 (TDP43) pathology on amygdala volume and shape, in a community cohort of older adults
Nazanin Makkinejad1, Junxiao Yu1, Aikaterini Kotrotsou1, Arnold M. Evia1, Julie A. Schneider2,3,4, Sue E. Leurgans2,3, David A. Bennett2,3, and Konstantinos Arfanakis1,2,5

1Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States, 2Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, IL, United States, 3Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, United States, 4Department of Pathology, Rush University Medical Center, Chicago, IL, United States, 5Department of Diagnostic Radiology, Rush University Medical Center, Chicago, IL, United States

TDP43 pathology is now recognized as a common and deleterious neuropathology of the aging brain. TDP43 pathology typically originates in the amygdala, which is, however, commonly affected by other age-related neurodegenerative pathologies. The purpose of this work was to investigate the effects of TDP43 pathology on the volume and shape of the amygdala in a large community cohort of older adults.

400
9:51
Fixel-based analysis of Alzheimer's Disease using multi-tissue constrained spherical deconvolution of multi-shell diffusion MRI
Diana L. Giraldo1,2, Hanne Struyfs 3, David A. Raffelt4, Paul M. Parizel5, Sebastiaan Engelborghs3,6, Eduardo Romero2, Jan Sijbers1, and Ben Jeurissen1

1Vision Lab, Department of Physics, University of Antwerp, Antwerp, Belgium, 2Computer Imaging and Medical Applications Laboratory, Universidad Nacional de Colombia, Bogota, Colombia, 3Reference Center for Biological Markers of Dementia (BIODEM), University of Antwerp, Antwerp, Belgium, 4Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, 5Department of Radiology, University of Antwerp, Antwerp, Belgium, 6Department of Neurology and Memory Clinic, Hospital Network Antwerp (ZNA) Middelheim and Hoge Beuken, Antwerp, Belgium

In this study, we used multi-shell, multi-tissue constrained spherical deconvolution to investigate group differences in white matter between control subjects, patients with mild cognitive impairment (MCI) due to Alzheimer's Disease (AD) and patients with dementia due to AD. Using the recently proposed fixel-based analysis approach, we distinguish between different fibre populations within a single voxel and characterize them with 3 measures: fibre density, fibre cross-section and the product of these two. We found significant decreases of these metrics in MCI and AD patients compared to healthy controls.

401
10:03
HFE Mutations Alter White Matter Diffusion and Relaxation Parametrics in Alzheimer’s Disease
Mark D Meadowcroft1,2, Jianli D. Wang2, Carson J Purnell1, Paul J Eslinger3, James R Connor1, and Qing X Yang2

1Neurosurgery, The Pennsylvania State University - College of Medicine, Hershey, PA, United States, 2Radiology, The Pennsylvania State University - College of Medicine, Hershey, PA, United States, 3Neurology, The Pennsylvania State University - College of Medicine, Hershey, PA, United States

This work demonstrates that HFE mutations in cognitively normal compared to wild-type subjects lead to differences in diffusion and relaxation parametrics, such that HFE mutation carrier parametrics converge towards AD subjects.  Furthermore, HFE mutations appeared to be preservative against white matter integrity loss in AD patients.  Iron-loading HFE mutations appear to preserve relaxation and diffusion neuroimaging biomarkers in AD patients, but adversely affect cognitively normal subjects.  


Oral

Late-Breaking Abstracts: Machine Learning

Room 313BC Tuesday 8:15 - 10:15 Moderators: Tim Leiner & Reza Nezafat

5657
8:15
Improved Multi-echo Water-fat Separation Using Deep Learning
Enhao Gong1, Greg Zaharchuk2, and John Pauly1

1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States

Multi-echo water/fat separation may fail on cases due to noise, inaccurate estimation of water/fat signal and inhomogeneous $$$B_0$$$ field. Here we developed novel data-driven method to improve water/fat separation using Deep Learning. A Residual-Convolutional-Neural-Network model was trained on image patches of multi-contrast information (from initial estimation of water/fat signal, R2* map and field map), to generate better estimation of Fat-Fraction (FF) image patches and entire FF image. The proposed approach was validated and demonstrated improvement from existing methods on ISMRM datasets with variable anatomies. This method can handle flexible echo times in acquisition and is efficient and effective.

5658
8:27
Temporal-autoencoding neural network revealed the underlying functional dynamics of fMRI data: Evaluation using the Human Connectome Project data
Jong-Hwan Lee1,2, Eric C. Wong3, and Peter Bandettini2

1Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea, Republic of, 2Section on Functional Imaging Methods, Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States, 3Department of Radiology, University of California, San Diego, La Jolla, CA, United States

We proposed a novel approach based on a temporal autoencoding neural network (TANN) model to predict the fMRI volume in the next time point or repetition time (TR) based on the fMRI volume in the present TR. Using motor task data from the Human Connectome Project, our TANN model revealed the human motor cortex dynamics. The highly task-specific foot, hand, and tongue networks within the motor-related areas were clearly identified from the TANN weight features and the task-associated networks across the frontal, parietal, temporal, and visual areas were also clearly parcellated without any task information. 

5659
8:39
Fully Automated Left Ventricle Scar Quantification with Deep Learning
Johannes Rausch1, Bjoern Menze1, Raymond H Chan2, Jihye Jang1,3, Evan Appelbaum3, and Reza Nezafat3

1Technical University of Munich, Munich, Germany, 2Toronto General Hospital, University Health Network, Toronto, Canada, 3Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States

We present a fully automated approach for quantification of left ventricle scar in Late Gadolinium Enhancement (LGE) cardiac MR (CMR), using a residual neural network. LGE images were acquired in 1075 patients with known hypertrophic cardiomyopathy in a multi-center clinical trial. Scar segmentation was performed in all patients by a CMR-trained cardiologist. For training, we use a two-phase procedure, using cropped and full-sized images consecutively. We train different models using sigmoid cross-entropy loss and Dice loss and measure average LV segmentation Dice scores of 0.77 ± 0.10 and 0.70 ± 0.12 and estimated scar percentage mismatches of 3.59% and 3.00%, respectively.

5660
8:51
Predicting Osteoarthritis Radiographic Incidence by Coupling Quantitative Compositional MRI and Deep Learning
Valentina Pedoia1, Jan Neumann 1, Ursula Heilmeier 1, Jenny Haefeli1, Adam R Ferguson1, Thomas Link1, and Sharmila Majumdar1

1University of California, San Francisco, San Francisco, CA, United States

In this study quantitative compositional MRI and deep learning were coupled to discover latent feature representations, non-linear aggregation among elementary features able to characterize relaxation maps for Osteoarthritis diagnosis and progression prediction. 1,348 subjects from the Osteoarthritis Initiative (OAI) public dataset were considered. T2 relaxation map were automatically analyzed to build a 2D feature map used to train a convolutional neural network for the classification of subjects in OA, control and progression groups. The proposed method was able to detect OA subjects with 95.2% accuracy, and to detect controls subjects that demonstrated OA signs 4 years later with 80.7% accuracy.  

5661
9:03
Direct Pseudo-CT Image Synthesis Using Deep Learning for Pelvis PET/MR Attenuation Correction
Andrew Palmera Leynes1, Jaewon Yang2, Dattesh D Shanbhag3, Sandeep S Kaushik3, Florian Wiesinger4, Youngho Seo2, Thomas Armstrong Hope2, and Peder Larson1

1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2University of California San Francisco, San Francisco, CA, United States, 3GE Global Research, Bangalore, India, 4GE Global Research, Munich, Germany

A deep learning model with fully-convolutional networks was used to directly synthesize pseudo-CT images from MR images. The pseudo-CT images were used for MR-based attenuation correction (MRAC) of PET reconstruction in PET/MRI. The effects of the MRAC on high-uptake volumes are evaluated quantitatively. We demonstrate that the deep learning-based MRAC significantly improves PET uptake quantification.

5662
9:15
Deep Convolutional Auto-Encoder and 3D Deformable Approach for Tissue Segmentation in Magnetic Resonance Imaging
Fang Liu1, Zhaoye Zhou2, Hyungseok Jang1, Alan McMillan1, and Richard Kijowski1

1Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States

A fully-automated segmentation pipeline was built by combining a deep Convolutional Auto-Encoder (CAE) network and 3D simplex deformable modeling. The CAE was applied as the core of the segmentation method to perform high resolution pixel-wise multi-class tissue classification. The 3D simplex deformable modeling refined output from CAE to preserve the overall shape and maintain a desirable smooth surface for structure. The fully-automated segmentation method was tested using a publicly available knee joint image dataset to compare with currently used state-of-the-art segmentation methods. The fully-automated method was also evaluated on morphological MR images with different tissue contrasts and image training datasets.

5663
9:27
Improving the PI+CS Reconstruction for Highly Undersampled Multi-contrast MRI using Local Deep Network
Enhao Gong1, Greg Zaharchuk2, and John Pauly1

1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States

A typical clinical MR protocol includes multiple scans with different contrasts for complementary diagnostic information. Various methods have been proposed to specifically accelerate multi-contrast scans by using more complicated sparsity regularization in PI+CS.

Here we proposed a Non-iterative Deep-Learning approach to further improve existing methods for highly undersampled multi-contrast MRI reconstruction.

This method uses a Sequential+Joint+Local scheme, which takes fast PI+CS reconstruction as the initial input, uses a Deep-Network on local patches, and efficiently generates a better reconstruction for different contrasts with reduced noise and artifacts.

Experiments demonstrate the proposed method has superior performance compared with existing PI+CS methods.  


5664
9:39
An Artificial Neural Network Framework for Early Prediction of Cognitive Deficits in Very Preterm Infants
Lili He1,2, Hailong Li1,2, Weihong Yuan1, and Nehal A. Parikh1,2

1Pediatric Neuroimaging Research Consortium, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 2Perinatal Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States

Annually, approximately 22,000 very preterm infants (i.e. ≤32 weeks gestational age) in the United States develop cognitive deficits. Infant brains are highly malleable, making it especially important to identify those at highest risk as early as possible to allow effective early interventions. Research supports the notion that cognitive deficits may result from a disturbance/breakdown in the connectome. We propose to develop a robust artificial neural network framework that can analyze integrated structural and functional brain connectome data obtained at term corrected age to predict long-term cognitive outcomes in very preterm infants.

5665
9:51
Deep learning: Utilizing the potential in data bases to predict individual outcome in acute stroke
Anne Nielsen1,2, Kim Mouridsen1, Mikkel Bo Hansen1, and Jens Kjærgaard Boldsen1

1Center of Functionally Integrative Neuroscience and MINDLab, Institute of Clinical Medicine, Aarhus University, Aarhus C, Denmark, 2Combat Stroke, Aarhus C, Denmark

Acute ischemic stroke is a major disease and one of the leading causes of adult death and disability. Brain tissue infarcts permanently within hours after onset and rapid reperfusion treatment is therefore of utmost importance. Current methods to predict the tissue outcome are too simplistic. In this project a more advanced approach using deep neural networks to utilize the information from previous patient developments was established and compared to current state-of-the-art. The predictions from the deep neural networks were showed to be superior to the state-of-the-art method improving prediction accuracy and hence leading to better decision support.

5666
10:03
Cardiovascular Event Prediction by Machine Learning: The Multi-Ethnic Study of Atherosclerosis
Bharath Ambale Venkatesh1, Xiaoying Yang2, Colin Wu3, W. Gregory Hundley4, Antoinette S Gomes5, Eliseo Guallar6, David A Bluemke3, and Joao A C Lima6

1Radiology, Johns Hopkins University, Baltimore, MD, United States, 2George Washington University, Washington DC, DC, United States, 3National Institutes of Health, Bethesda, MD, United States, 4Wake Forest University Health Sciences, Winston-Salem, NC, United States, 5UCLA School of Medicine, Los Angeles, CA, United States, 6Johns Hopkins University, Baltimore, MD, United States

Event prediction has been the cornerstone of cardiovascular epidemiology and have allowed us to characterize sub-clinical disease processes and target key risk factors for modification. Epidemiological studies used to derive such predictive models frequently contain hundreds of variables from multiple tests. Random survival forests may be an effective machine learning strategy for incident event prediction in large populations with large phenotypic datasets. These methods do not require a priori assumptions regarding causality and may thus be suitable to defining the role of novel biomarkers and tests (such as imaging, biomarker panels, ECG, etc) for cardiovascular disease prediction. We explore the role of MRI in the prediction of incident heart failure and all-cause death.


Oral

Functional & Diffusion MRS

Room 316A Tuesday 8:15 - 10:15 Moderators: Malgorzata Marjanska & Itamar Ronen

402
8:15
Functional Magnetic Resonance Spectroscopy (fMRS) using metabolite cycled semi-LASER at 9.4T: a pilot study
Ioannis-Angelos Giapitzakis1,2, Nikolai Avdievitch1, Saipavitra Murali Manohar1, Nicole Fichtner3,4, Roland Kreis 3, and Anke Henning1,5

1High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Graduate School of Neural and Behavioural Sciences, Tuebingen, Germany, 3Departments of Radiology and Clinical Research, University Bern, Bern, Switzerland, 4Institute for Biomedical Engineering, UZH and ETH Zurich, Zurich, Switzerland, 5Institute of Physics, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany

The purpose of this work is to explore the potentials of fMRS under a visual stimulation at 9.4T using a metabolite cycled (MC) semi-LASER sequence. The MC technique allows for simultaneous acquisition of water and metabolite spectra enabling the synchronous investigation of dynamic alternations of BOLD signal and metabolite levels. Correlation of FWHMCr and FWHMNAA with SNRwater is demonstrated. The influence of misaligned subtraction is evaluated and the requirement of linewidth, frequency and phase-correction is highlighted. Finally, all previously reported alterations of upfield metabolites are confirmed and for first time also potential difference of downfield metabolites are observed. 

403
8:27
Glutamate modulation during working memory task performance:  A functional proton magnetic resonance spectroscopy study in healthy adult volunteers
Eric Andrew Woodcock1, Chaitali Anand1, Jonathan Lynn1, Dalal Khatib1, and Jeffrey A Stanley1

1Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States

Glutamate is involved in excitatory neurotransmission and oxidative metabolism. In vivo glutamate measurements at task-relevant temporal resolution are possible using functional proton magnetic resonance spectroscopy. The present study quantified glutamate levels in the dorsolateral prefrontal cortex during working memory task performance and interspersed periods of rest. Results demonstrated that our approach was feasible and quantification of glutamate levels was reliable at 32s temporal resolution. Statistical analyses demonstrated that glutamate levels were elevated during working memory task performance (relative to rest), consistent with our hypotheses. Elevated glutamate levels during task performance likely reflect increased oxidative metabolism due to excitatory neurotransmission. 

404
8:39
Dynamic changes of glutamate detected by functional MR spectroscopy in human visual cortex in regions with positive and negative BOLD response
Miguel Martínez-Maestro1, Christian Labadie2, Ioannis Angelos Giapitzakis3, and Harald E. Möller1

1Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Berlin Center for Advanced Neuroimaging, Charité Universitätsmedizin, Berlin, Germany, 3Max Planck Institute for Biological Cybernetics, Tuebingen, Germany

Dynamic changes of metabolite concentrations have been presented in human visual cortex in response to stimulus that induce a positive BOLD response (PBR). The present study compares the metabolic profile of the positive and the negative bold response (NBR). The application of different fMRS block designs showed a significant increase in Glutamate (+7.3%) during the PBR stimulation paradigm in agreement with previous studies and a decrease (-6.6%) during the NBR, which provides new information about its underlaying mechanisms.

405
8:51
Activation induced changes in GABA: functional MRS at 7T with MEGA-sLASER
Chen Chen1, Hilmar P. Sigurdsson 2, Sophia E. Pépés2, Dorothee P. Auer3, Penny A. Gowland1, Paul S. Morgan3, and Stephen R. Jackson2

1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2School of Psychology, University of Nottingham, Nottingham, United Kingdom, 3School of Medicine, University of Nottingham, Nottingham, United Kingdom

To investigate changes in GABA levels in human motor cortex in response to the hand clenching task, the macromolecule-corrected MEGA-sLASER sequence was used in functional MRS (fMRS) experiments conducted at 7T. During motor activation, the total creatine (tCr) signal remained stable, while a significant transient increase in GABA/tCr (20%±11%) was observed. The measured increase in Glx/tCr (12%±6%) was higher but consistent with changes reported for Glutamate. With consistent editing performance for GABA detection and the advantage of visually identifying GABA peaks in spectra, this spectral editing approach showed its potential for future fMRS studies of GABA. 

406
9:03
Detection of Changes in the Creatine Kinase Cycle Rate in the Human Visual Cortex During Visual Stimulation with  Filter Exchange 1H MR Spectroscopy (FEXSY) at 7T
Casper Wolf1, Andrew Webb2, and Itamar Ronen2

1Vrije Universiteit, Amsterdam, Netherlands, 2Radiology, Leiden University Medical Center, Leiden, Netherlands

We selectively monitored the Cr/PCr exchange rate during visual stimulation using filter exchange spectroscopy (FEXSY), a pulse sequence sensitized to exchange between two pools with different diffusion coefficients. A Significant difference was observed between the filtered and non-filtered D(tCr) during rest, and vanished during stimulation, indicating an increase in the rate of creation of a fast-diffusing species in the tCr complex during stimulation. This suggests an increased production of Cr from PCr resulting from increased metabolic demand, or an increase in “free” vs. enzyme-bound tCr. The non-filtered ADC of NAA significantly increased during activation, suggesting microstructural change during activation.

407
9:15
Dynamics of lactate levels measured by functional proton magnetic resonance imaging in the rat somatosensory cortex upon increasing electrical hindpaw stimuli.
Aline Seuwen1, Aileen Schroeter1, and Markus Rudin1,2

1Institute for Biomedical Engineering, University & ETH Zürich, Zürich, Switzerland, 2Institute of Pharmacology and Toxicology, University of Zurich

MRSI in mice reveals changes in glutamate and lactate levels in somatosensory brain areas elicited by electric hindpaw stimulation. Using increasing stimulus amplitudes, lactate signals consistently decreased with increasing stimulus strength. This surprising result might reflect accelerated lactate clearance triggered by a generalized CBF increase in response to hindpaw stimulation, previously observed in this species. In contrast to mice, Lac levels in the contralateral somatosensory cortex of rats significantly increased with stimulus amplitude reflecting increased glycolytic activity and no obvious indication of increased lactate clearance. Despite the difference in Lac responses, similar Glu responses have been observed in both species.

408
9:27
Apparent diffusion coefficients of the five major metabolites in the human brain at 3 T
Dinesh K Deelchand1, Edward J Auerbach1, and Małgorzata Marjańska1

1CMRR, University of Minnesota, Minneapolis, MN, United States

The goal of this study was to measure the apparent diffusion coefficients (ADC) of five main metabolites in the human brain at 3 T using PRESS and STEAM sequences where measurement biases due to cross-terms were avoided by using positive and negative diffusion gradient polarity. This study shows that comparable trace/3 ADC values for total N-acetyl aspartate, total creatine, total choline, glutamate and myo-inositol can be successfully measured with both acquisition methods on a clinical scanner with STEAM providing slightly better quantification precision for J-coupled metabolites.

409
9:39
Diffusion-Weighted Echo Planar J-resolved Spectroscopic Imaging
Manoj K Sarma1, Zohaib Iqbal1, Andres Saucedo1, Paul M Macey2, and M. Albert Thomas1

1Radiological Sciences, UCLA School of Medicine, Los Angeles, CA, United States, 2School of Nursing, UCLA School of Medicine, Los Angeles, CA, United States

Diffusion weighted spectroscopy enables investigation of brain intracellular microstructure in-vivo. Here we implemented a novel technique called diffusion-weighted echo-planar J-resolved spectroscopic imaging (DW-EPJRESI) which is capable of giving information about metabolite diffusivity beyond NAA, Cr and Cho in multiple brain locations simultaneously. The technique was evaluated in a brain phantom and four healthy volunteers. Highly reproducible diffusion-weighted metabolite maps were obtained. The ADC values were in good agreement with previous reported values. Further optimization of the DW-EPJRESI sequence will become more practical for clinical use.

410
9:51
Probing alterations of cellular metabolism and structure in CNTF-induced mouse model of astrocytic activation using in vivo MRS and diffusion-weighted MRS
Clemence Ligneul1, Marco Palombo1, Edwin Hernandez Gazon1, Martine Guillermier1, Sueva Bernier1, Kelly Ceyzeriat1, Laurene Abjean1, Julien Flament1,2, Carole Escartin1, and Julien Valette1

1Molecular Imaging Research Center (MIRCen), Commissariat à l'Energie Atomique (CEA), Fontenay aux Roses, France, 2UMS 27, INSERM, Fontenay aux Roses, France

In this work we use in vivo MRS and diffusion-weighted MRS (DW MRS) on a model of astrocytic activation induced by the ciliary neutrophic factor (CNTF) in mice striatum. We observe a massive metabolic remodeling in CNTF mice in comparison with control mice. We demonstrate the intrinsic potential of DW MRS to detect alterations in cellular structure by measuring substantial variations in diffusion properties of astrocytic and neuronal metabolites. Modeling suggests significantly larger astrocytic processes, consistently with astrocytic hypertrophy as observed by microscopy in the context of activation.

411
10:03
Comparison diffusion behavior of metabolites in brains of congenital portal systemic shunt and healthy mice in vivo at 14.1T
Masoumeh Dehghani1, Nicolas Kunz2, Rolf Gruetter1,2,3, and Hongxia Lei2,3

1Laboratory of Functional and Metabolic Imaging (LIFMET), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2Center for Biomedical Imaging(CIBM), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 3Department of Radiology, University of Geneva, Geneva, Switzerland

The aim of this study was to determine whether diffusion behavior of metabolites in the congenital portal systemic shunt(PSS) mouse brain is different from ones of the healthy controls in vivo, combining large diffusion weighting and 1H MRS methods. The diffusion behavior of most investigated metabolites except taurine was in excellent agreement with those in control mouse brain. The reduced diffusivities of taurine in PSS mice compared to control ones may be due of possible cellular redistribution of taurine in response to some osmotic perturbations in PSS mice in vivo, however, it needs to be further explored.



Oral

MS: Spinal Cord

Room 320 Tuesday 8:15 - 10:15 Moderators: Nivedita Agarwal & Gary Miller

412
8:15
SPINAL CORD SODIUM AND AXONAL LOSS IN MULTIPLE SCLEROSIS
Bhavana Shantilal Solanky1, Ferran Prados 2, Carmen Tur1, Sebastien Ourselin2, Xavier Golay3, Olga Ciccarelli1, and Claudia A M Gandini Wheeler-Kingshott1,4,5

1UCL Institute of Neurology, Queen Square MS Centre, University College London, London, United Kingdom, 2Translational Imaging Group, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 3UCL Institute of Neurology, University College London, London, United Kingdom, 4Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 5Brain MRI 3T Mondino Research Center, C. Mondino National Neurological Institute, Pavia, Italy

Increased sodium concentration in the normal appearing brain of multiple sclerosis (MS) patients has recently been reported, which may be a consequence of axonal loss or an accumulation of intracellular sodium. Here we investigated spinal cord total sodium concentrations in MS patients and healthy controls. Spinal cord atrophy, as a result of axonal loss, often presents in MS, therefore we also tested for the association of sodium with SC area. We found increased total sodium levels in the SC, but no correlation with the decrease in SC cross sectional area in the MS cohort. 

413
8:27
Repeatability and reproducibility of spinal cord atrophy measurements in a multiple sclerosis population using the Spinal Cord Toolbox
Benjamin De Leener1, Tobias Granberg2,3, Katharina Fink4,5, Nikola Stikov1,6, and Julien Cohen-Adad1,7

1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 2Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden, 3Department of Radiology, Karolinska University Hospital, Stockholm, Sweden, 4Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden, 5Department of Neurology, Karolinska University Hospital, Stockholm, Sweden, 6Montreal Heart Institute, Montreal, QC, Canada, 7Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada

Spinal cord atrophy is a major determinant of physical disability in multiple sclerosis (MS) and other diseases with neurodegeneration. The upper spinal cord cross-sectional area (CSA) is therefore a clinically important measurement reflecting global spinal cord atrophy. New image analysis software enable semi- and fully-automatic quantification of spinal cord atrophy. This study characterizes the repeatability and reproducibility of semi-automatic CSA measurements of the spinal cord in healthy subjects and in patients with multiple sclerosis, using the Spinal Cord Toolbox (SCT). Results demonstrated the high repeatability and reproducibility of CSA measures using SCT in both healthy persons and in MS.

414
8:39
Boundary shift integral to compute brain and cervical spinal cord longitudinal volume changes using the same 3DT1w volumetric scans in multiple sclerosis
Ferran Prados1,2, Özgür Yaldizli3, Manuel Jorge Cardoso1, Marios C Yiannakas2, Francesco Grussu2, Esther Ruberte4, Jens Wuerfel4, Frederik Barkhof1,2,5, Claudia AM Gandini Wheeler-Kignshott2,6,7, and Sebastien Ourselin1

1Translational Imaging Group, CMIC, Dep. of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 2UCL Institute of Neurology, Queen Square MS Centre, University College London, London, United Kingdom, 3Department of Neurology, University Hospital Basel, Switzerland, 4Medical Image Analysis Center Basel, Switzerland, 5Radiology & Nuclear Medicine, VU University Medical Centre, Netherlands, 6Department of Brain and Behavioural Sciences, University of Pavia, Italy, 7Brain MRI 3T Mondino Research Center, C. Mondino National Neurological Institute, Italy

Brain atrophy is considered to be the net accumulative irreversible disease burden as the ultimate consequence of different pathological processes found in the multiple sclerosis brain. A recent cross-sectional study demonstrated the possibility to assess atrophy of the spinal cord using 3DT1w brain volumetric scans. However, to date, no unified technique has been presented to longitudinally assess brain and spinal cord atrophy using the same MRI acquisition. Here we present a proof-of-concept data from a pipeline that uses the boundary shift integral to compute both brain and cervical spinal cord atrophy rates using the same 3DT1w brain volumetric scans.

415
8:51
Improved Visualization of the Spinal Cord Lesions in Multiple Sclerosis using MP2RAGE at 3T
Jennifer A. Lefeuvre1,2, Sunil Patil3, Gunnar Krueger4, Tobias Kober5,6,7, Stéphane Lehéricy2, Daniel S. Reich1, and Govind Nair1

1TNS/NIB/NINDS, National Institutes of Health, Bethesda, MD, United States, 2CENIR, UPMC-Inserm U1127, CNRS 7225, Institut Cerveau Moelle, Paris, France, 3HC NAM USA DI MR COLLAB, Siemens Medical Solutions, Bethesda, MD, United States, 4HC NAM USA DI MR COLLAB, Siemens Medical Solutions, Boston, MA, United States, 5Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 6Department of Radiology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland, 7Signal Processing Laboratory (LTS 5), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

Spinal cord lesions are known to be prevalent and contribute to disability in multiple sclerosis (MS). We explored the use of the MP2RAGE sequence for better delineation of spinal cord lesions in a clinical setting, and compared it with standard sequences used in MS. A more accurate measurement of lesion load and better visualization of the lesion location within the spinal cord can help improving MS diagnosis and may be developed to an imaging biomarker of disease burden.

416
9:03
Outer spinal cord rim visualization using magnetization-prepared 3D T1w TFE at 3T: Application to multiple sclerosis.
Marios C Yiannakas1, Torben Schneider2, Matthew Clemence2, James Fairney3, Ferran Prados1,4, Hugh Kearney1, Sebastien Ourselin4, David H Miller1,5, and Claudia AM Gandini Wheeler-Kingshott1,6,7

1UCL Institute of Neurology, Queen Square MS Centre, University College London, London, United Kingdom, 2Philips Healthcare, Guildford, United Kingdom, 3Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 4Translational Imaging Group, CMIC, Dep. of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 5UCL-UCLH NIHR Biomedical Research Centre, London, United Kingdom, 6Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 7Brain MRI 3T Mondino Research Center, C. Mondino National Neurological Institute, Pavia, Italy

Neuropathological studies in multiple sclerosis (MS) have suggested that meningeal inflammation in the brain and spinal cord (SC) may be associated with disease progression. However, the use of structural imaging protocols to depict meningeal tissues has not been reported. Herein, we investigate the feasibility of obtaining sufficiently high image contrast to resolve the SC rim that we speculate corresponds to the SC pia mater (SCPM) using the magnetization-prepared 3D T1w TFE sequence. Preliminary results show that it is possible to resolve SCPM, and that significant differences in signal intensity values within SCPM exist between healthy controls and people with MS.

417
9:15
On the Relationship between Tissue Damage in Cervical Spinal Cord and Brain in Multiple Sclerosis.
Biao Xiang1, Jie Wen2, Amber Salter3, Anne H. Cross3, and Dmitriy A. Yablonskiy2

1Department of Chemistry, Washington University in St. Louis, Saint Louis, MO, United States, 2Department of Radiology, Washington University in St. Louis, St. Louis, MO, United States, 3Department of Neurology, Washington University in St. Louis, St. Louis, MO, United States

We examined quantitative relationships between tissue damage in the cervical spinal cord (characterized by cross-sectional area (CSA)) and cortical gray matter (GM) (characterized by thickness and tissue specific R2* values) in multiple sclerosis (MS) patients, and determined relative contributions of these to neurologic disability. We found correlations between CSA and GM R2* values and thickness of several cortical regions. Compared with cortical R2* and thickness, cervical spinal cord CSA correlated better with neurological impairment status. CSA, thickness and age-corrected R2* values all differentiated MS subjects from healthy Controls. CSA and GM thickness could further distinguish MS clinical subtypes.

418
9:27
Investigation of Advanced Diffusion Models in the Spinal Cord: Comparison of NODDI and SMT in MS Patients
Samantha By1,2, Junzhong Xu2,3, Bailey Box2, and Seth A. Smith1,2,3

1Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 3Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States

NODDI and Spherical Mean Technique (SMT) are multi-compartmental diffusion models that have demonstrated promise in the brain, but have never been applied to the in vivo spinal cord in multiple sclerosis (MS) patients. These models estimate axonal volume fractions, which can be indicative of microstructural integrity. We apply NODDI and SMT in healthy controls and MS patients to evaluate feasibility of both models in the human spinal cord. Results indicate that NODDI (p=0.004) and SMT (p=0.030) can characterize disparity in axonal volume fraction in MS patients, suggesting potential utility of advanced diffusion models in the spinal cord. 

419
9:39
Column-specific demyelination in Spinal Cord Normal Appearing White Matter occurring in Multiple Sclerosis: A preliminary study using inhomogeneous Magnetization Transfer and DTI
Henitsoa RASOANANDRIANINA1,2,3, Bertrand AUDOIN1,4, Olivier GIRARD1,2, Guillaume DUHAMEL1,2, Sarah DEMORTIERE4, Maxime GUYE1,2, Jean-Philippe RANJEVA1,2, Jean PELLETIER1,4, and Virginie CALLOT1,2,3

1Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 2AP-HM, Pôle d'Imagerie Médicale, Hopital de La Timone, CEMEREM, Marseille, France, 3iLab-Spine International Associated Laboratory, Marseille, France, 4Aix Marseille Univ, APHM, Hopital de La Timone, Pôle de Neurosciences Cliniques, Service de Neurologie, Marseille, France

This preliminary study investigates the added value of the inhomogeneous Magnetization Transfer (ihMT) technique when studying Spinal Cord (SC) tissue demyelination occurring in Multiple Sclerosis (MS). DTI and MT/ihMT data collected in 9 MS patients, analyzed in specific normal appearing white matter regions, indicated significant demyelination in corticospinal and posterior sensory tracts as compared to age-matched healthy controls, with a very high sensitivity of ihMTR that appears very promising for further objective therapeutic evaluation or topographic quantification of progressive SC demyelination. 

420
9:51
Comparative Myelin Imaging and Multi-Shot Diffusion Tensor Imaging in Multiple Sclerosis Cervical Spinal Cord
Hagen H Kitzler1, Hannes Wahl1, Gesine Pach1, Judith C Eisele2, Katja Thomas2, Sean Deoni3, Tjalf Ziemssen2, and Jennifer Linn1

1Neuroradiology, Technische Universität Dresden, Dresden, Germany, 2Neurology, Technische Universität Dresden, Dresden, Germany, 3Pediatric Radiology Research, Children's Hospital, Colorado, University of Colorado Medical School, Boulder, CO, United States

Spinal cord myelin imaging holds potential to quantify cervical spinal cord tissue myelin loss, and hence, the subtle spinal burden of demyelinating diseases, invisible for conventional magnetic resonance imaging. We present the approach of combined spinal 3D double-inversion recovery imaging with diffusion tensor imaging and myelin sensitive multicomponent driven equilibrium single pulse observation of T1 and T2, with subsequent normal spine space registration and group comparison in different multiple sclerosis courses. Whereas no significant differences were found between the different disease courses using fractional anisotropy, relapsing-remitting and primary-progressive multiple sclerosis were discriminated based on differences in relative cord myelin content.

421
10:03
DTI abnormalities in the midbrain in pediatric-onset multiple sclerosis.
Ritobrato Datta1,2, Sophia Ly3, Christine Till4, Elisea De Somma4, Nadine Akbar5, Sudipto Dolui6, Douglas L. Arnold7, Sridar Narayanan8, and Brenda L. Banwell1

1Neurology, The Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2Neurology, University of Pennsylvania, Philadelphia, PA, United States, 3Biology, University of Pennsylvania, Philadelphia, PA, United States, 4Psychology, York University, Toronto, ON, Canada, 5Hospital for Sick Children, Toronto, ON, Canada, 6Radiology, University of Pennsylvania, Philadelphia, PA, United States, 7Montreal Neurological Institute, McGill University, Montreal, QC, Canada, 8Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, QC, Canada

Pediatric-onset MS (POMS) is characterized by a high frequency of brainstem lesions early in the disease. It is unknown whether normal-appearing tissue in this region is involved at this early time point. Using diffusion tensor imaging (DTI) at 3T, we evaluated fractional anisotropy (FA) changes in midbrain substructures in POMS patients and age- and sex-matched healthy controls. Mean FA of midbrain was significantly reduced in the MS group, a difference that remained significant even after removing any focal midbrain lesions.  Our results indicate a widespread disruption in the midbrain that exceeds lesional tissue disruption alone. 


Combined Educational & Scientific Session

4D Flow MRI: Moving to Clinical Practice

Organizers: Harald Kramer, M.D.

Room 315 Tuesday 8:15 - 10:15 Moderators: Harald Kramer & Sergio Uribe

8:15
4D Flow MRI: Technical
tino ebbers1

1linkoping university

Four-dimensional flow magnetic resonance imaging (4D flow MRI) enables comprehensive access to time-varying and multidirectional blood flow through the cavities of the heart and great vessels. This presentation aims to assist understanding of acquisition and analysis methods of 4D flow MRI with a focus on the heart and greater vessels. Different visualization strategies and computation of derived flow parameters, as wall shear stress, pressure difference, turbulent kinetic energy, and intracardiac flow components, are discussed.

422
8:45
A Bayesian Approach to Enable Single Breath-Hold 4D Flow MRI
Adam Rich1, Lee C. Potter1,2, Ning Jin3, Yingmin Liu2, Orlando P. Simonetti2,4,5, and Rizwan Ahmad1,2

1Electrical and Computer Engineering, The Ohio State University, Columbus, OH, United States, 2Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH, United States, 3Siemens Medical Solutions, Columbus, OH, United States, 4Department of Radiology, Columbus, OH, United States, 5Division of Cardiovascular Medicine Department of Internal Medicine, Columbus, OH, United States

PC-MRI based 4D flow imaging is a powerful tool to quantify hemodynamics within the heart and the great vessels.  We develop a Bayesian technique to greatly accelerate 4D flow image acquisition. Our technique exploits the rich structure in 4D flow images within a joint reconstruction algorithm.  We validate the technique using retrospectively accelerated flow phantom data and prospectively accelerated, single breath-hold in vivo data.  In the flow phantom, stroke volume differed by ≤9% for R≤28 when compared to fully sampled data. The high acceleration provided by the Bayesian approach could allow for clinical application of single breath-hold 4D flow imaging.  

423
9:00
k-t accelerated aortic 4D flow MRI in under 2 minutes: feasibility and impact of resolution, k-space sampling patterns, and respiratory navigator gating on hemodynamic measurements
Emilie Bollache1, Alex J. Barker1, Jeremy D. Collins1, Pim van Ooij2, Rouzbeh Ahmadian1, Alex Powell1, James C. Carr1, Julia Geiger1, and Michael Markl1,3

1Department of Radiology, Northwestern University, Chicago, IL, United States, 2Department of Radiology, Academic Medical Center, Amsterdam, Netherlands, 3Department of Biomedical Engineering, Northwestern University, Chicago, IL, United States

Our objective was to assess the performance of eight highly k-t accelerated non-gated free-breathing aortic 4D flow MRI measurements acquired in under 2 minutes (PEAK GRAPPA R=5; TRes=67.2ms; four ky-kz-space Cartesian fillings: linear, center-out, out-center-out, random; two spatial resolutions=3.5x2.3x2.6mm3, 4.5x2.3x2.6mm3), both in vitro and in 10 healthy volunteers. Despite lower image quality, the significantly shorter k-t accelerated datasets provided aortic hemodynamic indices in agreement with conventional respiratory-gated 4D flow measurements. Differences were non-significant when using linear and out-center-out k-space samplings (absolute differences≤22%). In conclusion, aortic 4D flow MRI in under 2 minutes is feasible with moderate underestimation of flow indices.

9:15
4D Flow: Clinical
Ann Bolger1,2

1Medicine, University of California, San Francisco, San Francisco, CA, United States, 2Linkoping University, Linkoping, Sweden

Four dimensional flow visualization and quantification using phase contrast MRI has expanded the functional assessment of intracardiac and vascular blood flow in health as well as many forms of common disease. The impacts of chamber remodeling, endothelial disruption, material property changes related to infarction, atherosclerosis, or inflammation may all influence site-specific and global flow, and provide clues to their presence and severity. Further, the tolerance for variability in load, heart rate and rhythm may also be predicted by flow-based measures at baseline. Definition of the range of normal flow across the gender and age spectrum is critical to utilizing 4D flow methods in clinical applications.

424
9:45
Reproducibility and Accuracy of 4D Flow Valve Tracking for Assessment of Mitral Regurgitation
Kanae Mukai1, Purvi Parwani1, and Michael D Hope2

1Cardiology, UCSF, San Francisco, CA, United States, 2Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States

Quantification of mitral regurgitation (MR) is challenging to accurately perform with echocardiography.1 Recent data suggest that MRI is more accurate than echocardiography, but the conventional approach used requires the combination of data from two different types of MRI sequences.2 This study investigated the direct measurement of mitral regurgitation with 4D Flow using a valve tracking approach. We used both mitral annulus tracking and mitral flow jet tracking, and compared measurements to the conventional MRI approach for calculating mitral regurgitation. Flow jet but not annulus tracking demonstrated good reproducibility of measurement and correlation with the conventional MRI approach.

425
10:00
Exploration for Novel Markers of Left Atrial Disease and Thrombo-embolic Risk in Patients with Paroxysmal Atrial Fibrillation Using 4D Flow MRI
Julio Garcia1,2, Michael S Bristow2,3, Carmen Lydell2,4, Andrew G Howarth2,3, Bobby Heydari2,3, Frank S Prato5, Maria Drangova5, Rebecca Thornhill6, Pablo Nery7, Stephen Wilton2, Allan Skanes8, and James White2,3

1Department of Cardiac Sciences, University of Calgary, Calgary, AB, Canada, 2Stephenson Cardiac Imaging Centre, Libin Cardiovascular Institute of Alberta, Calgary, AB, Canada, 3Department of Medicine, University of Calgary, Calgary, AB, Canada, 4Diagnostic Imaging, University of Calgary, Calgary, AB, Canada, 5Medical Imaging, University of Western Ontario, London, ON, Canada, 6Diagnostic Imaging, The Ottawa Hospital, Ottawa, ON, Canada, 7Electrophysiology, University of Ottawa, Ottawa, ON, Canada, 8Department of Medicine, University of Western Ontario, London, ON, Canada

This study may be of interest for clinicians and clinical researchers who study or measure left atrial blood flow. This pilot study demonstrates that: 1) 4D flow imaging of LA inflow and vortex formation is clinically feasible, 2) Significant differences in LA flow can be identified in patients with paroxysmal AF versus healthy controls; 3) Asymmetry of pulmonary vein inflow was observed in this population and may be contributory to (or as a result of) alterations in LA vortical flow, and 4) Vortical flow is fractionated in patients with a history of paroxysmal AF. These early observations seed interest for LA 4D flow as a marker of early or established left atrial disease and may provide value for the prediction of thrombo-embolic events.


Plenary Session

NIBIB New Horizons Lecture

Plenary Hall Tuesday 10:45 - 11:15

10:45
NIBIB New Horizons Lecture
Nicole Seiberlich1

1Case Western Reserve University


Plenary Session

Dynamic Real Time Imaging

Organizers: Michael S. Hansen, Ph.D. & Joshua D. Trzasko, Ph.D.

Plenary Hall Tuesday 11:15 - 12:15

11:15
Real-Time MRI Technology
Jennifer Anne Steeden1

1Centre for Cardiovascular Imaging, University College London, London, United Kingdom

11:45
Diagnostic Real-Time MRI
Krishna Nayak

12:15
Interventional Image Guidance
Reza Razavi

12:45
Adjournment & Meet the Teachers


Other

Gold Corporate Symposium: GE Healthcare

Plenary Hall Tuesday 12:15 - 13:45 (no CME credit)


Other

Gold Corporate Symposium: Philips Healthcare

Plenary Hall Tuesday 12:15 - 13:45 (no CME credit)


Traditional Poster: Diffusion

Exhibition Hall 1730-1776 Tuesday 13:45 - 15:45 (no CME credit)

Electronic Poster: Neuro

Exhibition Hall Tuesday 13:45 - 14:45 (no CME credit)

Study Groups

MR in Drug Research Study Group

Room 323ABC Tuesday 13:45 - 15:45 (no CME credit)


Study Groups

MR Elastography Study Group

Room 317AB Tuesday 13:45 - 15:45 (no CME credit)


Educational Course

Susceptibility Imaging as a New Window on Disease, Iron & Hypoxia

Organizers: Jeff F. Dunn, Ph.D. & Linda Moy, M.D.

Room 316A Tuesday 13:45 - 15:45 Moderators: Hongfu Sun & Alan Wilman

13:45
Using Desoxyhemoglobin & Susceptibility as a Contrast Agent in Cancer
Gregory Karczmar


14:15
Abdominal Cancer
Bachir Taouli1

1Mount Sinai

In this lecture, we will review the current susceptibility imaging methods used for indirectly assessing tumor hypoxia in abdominal cancers, in preclinical and clinical applications. We will review the scientific evidence, potential applications and limitations of BOLD/TOLD imaging.

14:45
Cell Tracking & Molecular Contrast
Paula Foster

This lecture will discuss the use of iron based contrast agents for cellular and molecular MRI. The mechanisms of contrast, detection limits, limitations and advances will be described. 

15:15
Susceptibility Mapping in Brain Diseases: Iron, Myelin & More
Karin Shmueli

Tissue magnetic susceptibility can be calculated from gradient-echo phase images using quantitative susceptibility mapping (QSM). Several clinical applications of QSM are emerging based on its sensitivity to tissue iron, myelin and deoxyhaemoglobin content. These include visualising iron in deep-brain structures in Parkinson’s disease and other dementias, evaluating microbleed burden and haemorrhages and distinguishing these from calcifications. QSM also allows quantification of venous oxygenation with functional QSM now able to detect brain activity. QSM reveals demyelination: changes in both myelin and iron content drive QSM differences in Multiple Sclerosis which may be associated with inflammation, perhaps due to iron in microglia/macrophages.

15:45
Adjournment & Meet the Teachers


Power Pitch

Pitch: Liver

Power Pitch Theater A - Exhibition Hall Tuesday 13:45 - 14:45 Moderators: Richard (Kinh Gian) Do & Yu-Chien Wu (no CME credit)

426
13:45
Relationship between hepatic blood flow and segmental liver hypertrophy after portal vein embolization using 4D flow MRI
Tilman Schubert1, Kevin Johnson2, Alejandro Roldan Alzate1, and Scott Reeder1,2

1Radiology, UW Wisconsin Madison, Madison, WI, United States, 2Medical Physics, UW Wisconsin Madison, Madison, WI, United States

427
13:45
Proton Density Fat Fraction Estimation Accuracy of High-Flip-Angle, Contrast-Enhanced, Magnitude-Based Multi-Gradient-Echo MR Imaging at 3T
Ethan Z Sy1, Cheng William Hong1, Soudabeh Fazeli Dehkordy1, Charlie C Park1, Alexandra Schlein1, Jonathan C Hooker1, Jennifer Cui1, Gavin Hamilton1, and Claude B Sirlin1

1University of California, San Diego, San Diego, CA, United States

428
13:45
Assessment of liver function using an uptake ratio based on multiple-time points  hepatocyte mapping
Tomoyuki Okuaki1, Kosuke Morita2, Tomohiro Namimoto3, Morikatsu Yoshida3, Shinya Shiraishi3, Yasuyuki Yamashita3, and Marc Van Cauteren1

1MR Clinical Science, Philips Healthtech, Tokyo, Japan, 2Department of Central Radiology, Kumamoto University Hospital, Kumamoto, Japan, 3Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan

429
13:45
Detection of Advanced Liver Fibrosis and Cirrhosis using MR elastography compared to liver surface nodularity measurement, EOB-DTPA uptake and blood tests
Cecilia Besa1, Mathilde Wagner1,2, Grace Lo1, Sonja Gordic1, Manjil Chatterji1, Ashley Stueck3, James Babb4, Andrew Smith5, and Bachir Taouli1

1Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Radiology, Groupe Hospitalier Pitié Salpêtrière, Paris, France, 3Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Radiology, New York University Langone Medical Center, New York, United States, 5Radiology, University of Mississippi Medical Center, Jackson, MS, United States

430
13:45
Diagnostic performance of LI-RADS major features, ancillary features, and categories on MRI for diagnosis of hepatocellular carcinoma
Milena Cerny1, Catherine Bergeron1, Jean-Sébastien Billiard1, Jessica Murphy-Lavallée1, Damien Olivié1, Joshua Bérubé1, Boyan Fan1, Hélène Castel2, Simon Turcotte3, Pierre Perrault1, and An Tang1,4

1Department of Radiology, Centre hospitalier de l'Université de Montréal (CHUM), MONTREAL, QC, Canada, 2Department of Gastroenterology and Hepatology, Centre hospitalier de l'Université de Montréal (CHUM), MONTREAL, QC, Canada, 3Department of Surgery, Centre hospitalier de l'Université de Montréal (CHUM), MONTREAL, QC, Canada, 4Centre de recherche du Centre hospitalier de l'Université de Montréal (CRCHUM), MONTREAL, QC, Canada

431
13:45
Longitudinal Characterization of Liver Regeneration and Portal Hemodynamics in Living Donor Liver Transplant
Alejandro Roldán-Alzate1,2,3, David R Rutkowski2, Luis A Fernandez4, and Scott B Reeder1,3,5,6

1Radiology, University of Wisconsin, Madison, WI, United States, 2Mechanical Engineering, University of Wisconsin, Madison, WI, United States, 3Biomedical Engineering, University of Wisconsin, Madison, WI, United States, 4Surgery, University of Wisconsin, Madison, WI, United States, 5Medical Physics, University of Wisconsin, Madison, United States, 6Medicine, University of Wisconsin, Madison, United States

432
13:45
4D flow MRI of Liver Hemodynamics: Influence of Velocity Encoding, Different Field Strength and Contrast Application on Visualization and Quantification of blood flow
Zoran Stankovic1, Bernd Jung1, Alan Arthur Peters1, Jelena Surla2, Edouard Semaan2, Michael Ith1, Johannes Heverhagen1, Michael Markl2, and Jeremy D. Collins2

1DIPR, Inselspital, University Hospital Bern, University of Bern, Bern, Switzerland, 2Radiology, Northwestern University, Chicago, IL, United States

433
13:45
Quantitative Free-Breathing Dynamic Contrast-enhanced MRI in Hepatocellular Carcinoma Using Gd-EOB-DTPA:Correlations With Ki67 Proliferation Status and Histological Grades
Jie Chen1, Chenyang Chen1, Chunchao Xia2, and Bin Song2

1West China Medical School of Sichuan University, Chengdu, People's Republic of China, 2Departmento of Radiology, West China Hospital of Sichuan University, Chengdu, People's Republic of China

434
13:45
The value of high resolution gadoextic acid-enhanced MR cholangiography for evaluating biliary anatomy of living liver donor: comparison with T2 weighted (T2W) MR cholangiography and conventional gadoxetic acid enhanced MR cholangiography
Hyo-Jin Kang1, Jeong Min Lee1, Jeong Hee Yoon1, Won Chang1, Ijin Joo1, and Joon Koo Han1

1Radiology, Seoul National University Hospital, Seoul, Korea, Republic of

435
13:45
Water-Only Look-Locker Inversion recovery (WOLLI) T1 mapping
Liam D. Garrison1, Christina Levick1,2, Michael Pavlides1,2, Tom Marjot3, Ferenc Mozes1, Leanne Hodson3, Stefan Neubauer1, Matthew Robson1, and Christopher T. Rodgers1

1OCMR, RDM Cardiovascular Medicine, University of Oxford, Oxford, United Kingdom, 2Translational Gastroenterology Unit, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom, 3Oxford Centre for Diabetes, Endocrinology and Metabolism (OCDEM), Radcliffe Department of Medicine, University of Oxford, United Kingdom

436
13:45
Region-of-interest size of hepatic 2D MR elastography decreases with increasing R2* for gradient-echo but not spin-echo techniques
Cheng William Hong1, Adrija Mamidipalli1, Ethan Z Sy1, Jonathan C Hooker1, Calvin Andrew Tran1, Tanya Wolfson2, Soudabeh Fazeli Dehkordy1, Scott B Reeder3, Rohit Loomba4, and Claude B Sirlin1

1Liver Imaging Group, Department of Radiology, University of California, San Diego, San Diego, CA, United States, 2Computational and Applied Statistics Laboratory, University of California, San Diego, San Diego, CA, United States, 3Departments of Radiology, Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin, Madison, Madison, WI, United States, 4NAFLD Research Center, Division of Gastroenterology, Department of Medicine, University of California, San Diego, San Diego, CA, United States

437
13:45
Estimating Liver Function in Chronic Liver Disease Patients Using DCE-MRI and Whole-Body Pharmacokinetic Modeling
Markus Karlsson1,2, Mikael F Forsgren1,2, Olof Dahlqvist-Leinhard1,2, Nils Dahlström1,2, Bengt Norén2, Mattias Ekstedt1, Stergios Kechagias1, Gunnar Cedersund3, and Peter Lundberg1,2

1Department of Health and Medicine, Linköping University, Linköping, Sweden, 2Center for Medical Image Science and Visualisation, Linköping University, Linköping, Sweden, 3Department of Biomedical Engineering, Linköping University, Linköping, Sweden

438
13:45
Prognostic Role of Liver Stiffness Measurement Using Magnetic Resonance Elastography in Patients with Compensated Chronic Liver Disease
Dong Ho Lee1 and Jeong Min Lee2

1Radiology, Seoul National University Hospital, Seoul, Korea, Republic of, 2Korea, Republic of

439
13:45
Epidemiology and spatial heterogeneity of hepatic fat and iron deposition: an MRI-based analysis
Daniel R Ludwig1, Tyler J Fraum1, Scott Kilian2, and Kathryn J Fowler1

1Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO, United States, 2Southern Illinois University School of Medicine

440
13:45
Free breathing T2* mapping of the Liver using a compressed sensing reconstruction
Paul de Heer1, Oliver J Gurney-Champion1, Jurgen H. Runge1,2, Remy Klaassen3, Jasper Schoormans1, Bram F. Coolen4, Hanneke W.M. van Laarhoven3, Gustav J. Strijkers4, Jaap Stoker1, and Aart J. Nederveen1

1Radiology, AMC, Amsterdam, Netherlands, 2Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, United Kingdom, 3Medical Oncology, AMC, Amsterdam, Netherlands, 4Biomedical Engineering & Physics, AMC, Amsterdam, Netherlands


Power Pitch

Pitch: Reconstruction Highlights

Power Pitch Theater B - Exhibition Hall Tuesday 13:45 - 14:45 Moderators: Anthony Christodoulou & Rebecca Ramb (no CME credit)

441
13:45
Joint Reconstruction of Phase-Cycled Balanced SSFP with Constrained Parallel Imaging
Berkin Bilgic1, Thomas Witzel1, Himanshu Bhat2, Lawrence L Wald1, and Kawin Setsompop1

1Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 2Siemens Medical Solutions, Charlestown, MA, United States

442
13:45
Wave-CAIPI for Highly Accelerated MP-RAGE Imaging
Daniel Polak1,2, Kawin Setsompop1,3,4, Stephen F. Cauley1,3, Borjan A. Gagoski3,5, Himanshu Batt6, Florian Maier2, Lawrence L. Wald1,3,4, and Berkin Bilgic1,3

1Massachusetts General Hospital, Boston, MA, United States, 2German Cancer Resarch Center, Heidelberg, Germany, 3Harvard Medical School, Boston, MA, United States, 4Harvard-MIT Health Sciences and Technology, Boston, MA, United States, 5Boston Children’s Hospital, Boston, MA, United States, 6Siemens Medical Solutions Inc, Malvern, PA, United States

443
13:45
Differential Domain Analysis for 3D Cartesian Sampling
Evan Levine1,2 and Brian Hargreaves2

1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States

444
13:45
Comparison of 2D and 3D MR Liver Elastography in 600 Patients
Bogdan Dzyubak1, Kevin J. Glaser1, Sudhakar K. Venkatesh1, and Richard L. Ehman1

1Radiology, Mayo Clinic, Rochester, MN, United States

445
13:45
Calibrationless Parallel Imaging Reconstruction Using Hankel Tensor Completion (HTC)
Yilong Liu1,2, Jun Cao1,2, Mengye Lyu1,2, and Ed X. Wu1,2

1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong, People's Republic of China, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, People's Republic of China

446
13:45
Highly Accelerated Magnetic Resonance Elastography via Bayesian Modeling
Christopher Ebersole1,2, Rizwan Ahmad1, Adam Rich1, Lee C. Potter1, and Arunark Kolipaka2

1Electrical and Computer Engineering, The Ohio State University, Columbus, OH, United States, 2Radiology, The Ohio State University Wexner Medical Center, Columbus, OH, United States

447
13:45
RACE-GRASP: Respiratory-weighted and Aortic Contrast Enhancement-guided GRASP MRI
Li Feng1, Krishna Shanbhogue1, Daniel K Sodickson1, Hersh Chandarana1, and Ricardo Otazo1

1Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, NY, United States

448
13:45
Real-time 3D cardiac MRI using through-time radial GRAPPA and GPU-enabled reconstruction pipelines in the Gadgetron framework
Dominique Franson1, James Ahad2, Jesse Hamilton1, Wei-Ching Lo1, Yun Jiang1, Yong Chen3, and Nicole Seiberlich1,3

1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2School of Medicine, Case Western Reserve University, Cleveland, OH, 3Radiology, University Hospitals, Cleveland, OH

449
13:45
Navigator-free EPI ghost correction using low-rank matrix modeling: Theoretical insights and practical improvements
Rodrigo A. Lobos1, Tae Hyung Kim1, W. Scott Hoge2,3, and Justin P. Haldar1

1Electrical Engineering, University of Southern California, Los Angeles, CA, United States, 2Radiology, Brigham and Women’s Hospital, Boston, MA, United States, 3Radiology, Harvard Medical School, Boston, MA, United States

450
13:45
Non-ECG First-Pass Myocardial Perfusion T1 Mapping with Low-Rank Tensor Cardiovascular MR Multitasking
Anthony G. Christodoulou1,2, Jaime L. Shaw1,3, Xiaoming Bi4, Behzad Sharif1,5, and Debiao Li1,3

1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 3Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, 4Siemens Healthcare, Los Angeles, CA, United States, 5Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, CA, United States

451
13:45
T1-T2 Shuffling: Multi-Contrast 3D Fast Spin-Echo with T1 and T2 Sensitivity
Jonathan I Tamir1, Valentina Taviani2, Shreyas S Vasanawala3, and Michael Lustig1

1Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 2MR Applications and Workflow, GE Healthcare, Menlo Park, CA, United States, 3Radiology, Stanford University, CA, United States

452
13:45
Simultaneous T1/T2 measurements in combination with PCA-SENSE reconstruction (T1* shuffling) and multicomponent analysis
Julian Pfister1, Martin Blaimer1, Peter M. Jakob2, and Felix A. Breuer1

1Magnetic Resonance and X-ray Imaging, Fraunhofer Development Center X-ray Technology (EZRT), Würzburg, Germany, 2Experimental Physics 5, University of Würzburg, Würzburg, Germany

453
13:45
Accelerated 3D Multispectral MRI with Robust Principal Component Analysis for Separation of On and Off-resonance Signals
Evan Levine1,2, Kathryn Stevens2, and Brian Hargreaves2

1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States

454
13:45
Field Map Combination Method for Multiple-Acquisition bSSFP
Anjali Datta1 and Dwight G Nishimura1

1Electrical Engineering, Stanford University, Stanford, CA, United States

455
13:45
Stochastic Primal-Dual Optimization for Locally Low-Rank MRI Reconstruction: A Stable Alternative to Cycle Spinning
Joshua D. Trzasko1

1Radiology, Mayo Clinic, Rochester, MN, United States


Oral

fMRI: Mechanisms & Physiology

Room 310 Tuesday 13:45 - 15:45 Moderators: Nicholas Blockley & Xiaoping Hu

456
13:45
Comparable intrinsic spatial profiles of BOLD signals and local field potentials after stimulation and in resting-state within primary somatosensory cortex
Zhaoyue Shi1, Ruiqi Wu1, Pai-Feng Yang1, Feng Wang1, Tung-Lin Wu 1, Arabinda Mishra1, Li Min Chen1, and John Gore1

1Vanderbilt University Institute of Imaging Science, Nashville, TN, United States

We directly compared the spatial extents of stimulated activations and the profiles of inter-voxel resting-state correlations between high resolution BOLD data at 9.4T and local field potentials (LFPs) using 98-channel microelectrode arrays, in functionally distinct somatosensory areas 3b and 1 in monkeys. We found the point spread functions of BOLD and LFP responses were comparable (~1mm) in the stimulus condition, and were more spatially constrained than correlations at rest. Our results showed spatial agreement of resting-state functional connectivity between BOLD and LFP and demonstrated that BOLD responses were as focal as underlying electrical activity. 

457
13:57
Primary neurotransmitter variations upon forepaw stimulation revealed by functional Magnetic Resonance Spectroscopy in the rat
Tal Shemesh1 and Noam Shemesh1

1Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal

Functional Magnetic Resonance Spectroscopy (fMRS) could potentially provide much information on neurotransmitters, and hence, could shed light into excitation / inhibition imbalances. However, it was scarcely used, in particular in rodents, presumably due to low SNR. Here, we used a cryoprobe at 9.4T to record fMRS spectra in the rat in just a few minutes. SNR>50 was documented for the N-acetylaspartate resonance. We show statistically significant increases in Glutamate and decrease in GABA upon forepaw stimulation. Our results are suggestive of differential relaxation between vesicular and synaptic neurotransmitter pools, and are promising for more detailed investigations, e.g., using optogenetics.  

458
14:09
Mapping and characterization of positive and negative BOLD responses to visual stimulation in multiple regions across the brain at 7T
João Jorge1, Patrícia Figueiredo2, Wietske van der Zwaag3, and Rolf Gruetter1,4

1Laboratory for Functional and Metabolic Imaging, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 2ISR-Lisboa/LARSyS and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal, 3Spinoza Centre for Neuroimaging, Amsterdam, Netherlands, 4Department of Radiology, University of Lausanne and University of Geneva, Lausanne, Switzerland

Negative BOLD responses (NBRs) have been associated with changes in neuronal activity, but are challenging to detect due to a lower contrast-to-noise ratio compared to positive BOLD responses (PBRs). In this work, the high sensitivity available at 7T was explored with accelerated fMRI acquisition, vein segmentation and ICA denoising techniques, to map PBRs and NBRs to visual stimulation in various brain regions beyond the visual cortex. Multiple regions with significant PBRs and NBRs could be detected, and their dependence on stimulus duration was found to differ significantly across regions, suggesting the presence of dynamic, stimulus-dependent interactions across the brain.

459
14:21
Mapping the task-related and resting-state vascular dynamic network connectivity in rats and humans
Yi He1,2, Rolf Pohmann1, Klaus Scheffler1, David Kleinfeld3, Bruce Rosen4, and Xin Yu1

1High-field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Graduate Training Centre of Neuroscience, International Max Planck Research School, University of Tuebingen, Tuebingen, Germany, 3Department of Physics/Section on Neurobiology, University of California at San Diego, La Jolla, CA, United States, 4MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, MGH, Harvard Medical School, Charlestown, MA, United States

We have previously shown that hemodynamic signals can be directly detected from individual arterioles and venules penetrating the cortex. Here, the temporal correlation patterns of the vessel-specific hemodynamic signal are characterized in both rodent and human brains. At the resting state, the blood-oxygen-level-dependent (BOLD) signal from venules and the cerebral blood volume (CBV) signal from arterioles show large-scale vessel-specific correlation patterns in rats under anesthesia. Similarly, in awake human subjects, the BOLD hemodynamic signal correlated at the sulcus veins (3T), as well as at a few intra-cortical veins detected at 9.4T, showing vessel-specific activity and connectivity patterns with slow-frequency oscillation up to 0.1Hz.

460
14:33
Simultaneous multi-slice whole-brain VASO-BOLD, ToF, and SWI at 3T to investigate the vascular contributions in resting-state networks
Michaël Bernier1, Guillaume Gilbert2, Stephen C Cunnane3,4,5, and Kevin Whittingstall6

1Nuclear medecine and radiobiology, Université de Sherbrooke, Sherbrooke, QC, Canada, 2MR Clinical Science, Philips Healthcare Canada, Markham, ON, Canada, 3Research center of aging, CSSS-IUGS, Sherbrooke, QC, Canada, 4Department of Pharmacology and Physiology, Université de Sherbrooke, Sherbrooke, QC, Canada, 5Department of Medecine, Université de Sherbrooke, Sherbrooke, QC, Canada, 6Diagnostic radiology, Université de Sherbrooke, Sherbrooke, QC, Canada

The structural nature of BOLD and CBV fluctuations during resting-state remains unclear. To address this, we first developed a simultaneous multi-slice VASO-BOLD EPI sequence at 3T and isolated resting-state VASO- and BOLD- based networks. We then performed ToF and SWI to quantify the arterial and venous contributions in each network. Overall, both BOLD and VASO showed similar networks which were spatially localized near large veins. Also, similar proportions of vasculature were observed throughout all networks. These results suggest that simultaneous BOLD-CBV acquisitions are feasible at 3T and that their resting state networks are spatially and structurally similar.

461
14:45
Fibre orientation dispersion in the corpus callosum relates to interhemispheric functional connectivity
Jeroen Mollink1,2, Saad Jbabdi1, Stephen M Smith1, Fidel Alfaro-Almagro1, Michiel Kleinnijenhuis1, Anne-Marie van Cappellen van Walsum2, and Karla Loreen Miller1

1FMRIB centre, University of Oxford, Oxford, United Kingdom, 2Department of Anatomy, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Centre, Nijmegen, Netherlands

Fibre orientation dispersion was previously demonstrated to be higher at the center compared to lateral aspects of the corpus callosum (CC) using microscopy data and diffusion MRI data. We hypothesize that this pattern of dispersion in the CC relates to the degree of heterotopic connections in the brain. In a large cohort of 4903 subjects from the Biobank UK, resting-state functional MRI and diffusion MRI data were compared against each other to find associations between fibre dispersion and functional interhemispheric connectivity

462
14:57
Parallel processes of neuro-vascular and neuro-cellular coupling
Wen-Ju Pan1, Jacob Billings1, Maysam Nezafati1, Waqas Majeed1, and Shella Keilholz1

1Emory University/Georgia Institute of Technology, Atlanta, GA, United States

Neural activity leads to cellular swelling along with the hemodynamic response from the vasculature.  The latter process is the basis for the BOLD signal detected with fMRI; the former may underlie the changes observed with diffusion-weighted fMRI. Optical intrinsic signals can detect neuro-vascular activity (typically observed in in vivo studies of reflectance) and neuro-cellular swelling (observed mostly by transmittance in brain slices). We designed a novel miniature probe for in vivo transmittance studies in the rat brain and examined neuro-cellular coupling and neuro-vascular coupling in vivo to better understand the basis of the MRI techniques.

463
15:09
Functional response of corpus callosum to electrical stimulation of S1 cortex in mice
Tsen-Hsuan (Abby) Lin1, Willaim M Spees1,2, Michael Wallendorf3, Yen-Yu Ian Shih4, Anne H Cross2,5, and Sheng-Kwei Song1,2,6

1Radiology, Washington University School of Medicine, St. Louis, MO, United States, 2The Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States, 3Biostatistics, Washington University School of Medicine, St. Louis, United States, 4Neurology, The University of North Carolina in Chapel Hill, NC, United States, 5Neurology, Washington University School of Medicine, St. Louis, MO, United States, 6Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States

The corpus callosum (CC) is the major pathway for interhemispheric communication and a primary target of white-matter neurodegenerative diseases. Diffusion MRI is widely used to assess white-matter structural alternations in diseases. In addition to morphological changes, we previously demonstrated the feasibility to assess white matter function using diffusion MRI. We observed a 27% perpendicular apparent diffusion coefficient (ADC) decrease in normal mouse optic nerve during visual stimulation. In the current study, we implanted MR-compatible tungsten wires at primary somatosensory cortex and observed 15 – 21% ADC decrease in CC, suggesting diffusion MRI can be applied to study function at this site.  

464
15:21
Relationship between cell swelling, functional neuronal status and water diffusion in the rat brain
Yoshifumi Abe1, Tomokazu Tsurugizawa1, and Denis Le Bihan1

1NeuroSpin, CEA, Gif-sur-Yvette, France

 Diffusion fMRI (DfMRI) allows to monitor brain function without BOLD vascular confounding effects. Infusion in the rat brain thalamus central median nucleus (CM) of a cell swelling inducer/blocker resulted in ADC changes confirming DfMRI sensitivity to local cell size status. ADC changes closely reflected local functional neuronal status, as evidenced from LFP recordings and electrical current thresholds required to wake-up the animals. They were also observed in remote locations connected with CM. Those results support that neural swelling is an important mechanism underlying DfMRI, and that cell size variations in neuronal networks are an important feature associated with their activity. 

465
15:33
Deactivation responses induced by acupuncture are associated with changes in GABA concentrations: a BOLD fMRI and MEGA-PRESS 1H-MRS Study
Jiliang Fang1, Yuanyuan Chen1, Yanping Zhao1, Guiyong Liu1, Xiaoling Wang1, Feng Feng2, Bo Hou2, Bingzhen Lei3, Xiaojiao Li1, Ahn Sinyeob4, and Tianyi Qian5

1Guang An Men Hospital, China Academy of Chinese Medical Sciences, Beijing, People's Republic of China, 2Peking Union Hospital, Peking Union Medical University, Beijing, People's Republic of China, 3Beijing Institute of Technology, Beijing, People's Republic of China, 4Siemens Healthcare, MR Collaboration, CA, United States, 5Siemens Healthcare, MR Collaboration NE Asia, Beijing, People's Republic of China

This study investigated the neurological mechanism that mediates the deactivation of the medial prefrontal cortex induced by acupuncture. Gamma-aminobutyric acid (GABA) concentrations before and immediately after acupuncture stimulation in healthy volunteers were assessed with MEGA-PRESS 1H-MRS. We found that GABA concentrations in the medial prefrontal cortex decreased significantly after acupuncture stimulation compared with control stimulation with Von Frey sensory. Analysis of the task-functional magnetic resonance image (fMRI) acquired during acupuncture showed deactivation in the same area. These results demonstrated that the decreased blood oxygenation level dependent (BOLD) response induced by acupuncture was associated with inhibitory effects.


Oral

Microstructure (Non-Diffusion)

Room 311 Tuesday 13:45 - 15:45 Moderators: Guillaume Duhamel & Samuel Hurley

466
13:45
Microscopic susceptibility anisotropy mapping
Enrico Kaden1, Irina Y. Barskaya2, Nathaniel D. Kelm2, Kathryn L. West2, Mark D. Does2, and Daniel C. Alexander1

1Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 2Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States

The gradient-echo signal in brain white matter does not only depend on microscopic tissue features such as myelination, but also on the axon orientation distribution with respect to the external magnetic field. Therefore, to map microscopic susceptibility, we need to factor out the confounding effects of fibre crossings and orientation dispersion. This work adapts the Spherical Mean Technique (SMT), recently introduced in diffusion MRI, to estimate the microscopic susceptibility anisotropy in directionally heterogeneous tissue. Moreover, we show that, in combination with diffusion measurements, the proposed technique may be viable in the clinic.

467
13:57
Larmor frequency shift in anisotropic heterogeneous media
Alexander Ruh1,2 and Valerij G. Kiselev1,2

1Dept. of Radiology, Medical Physics, Medical Center - University of Freiburg, Freiburg, Germany, 2Faculty of Medicine, University of Freiburg, Freiburg, Germany

The question about the precise value of the proton Larmor frequency in neuronal tissues is a major topic in current research. In this study we present a comprehensive answer for spins moving in magnetically heterogeneous media formed by impermeable susceptibility inclusions. We obtain an analytic result for the mean Larmor frequency in the limit of fast diffusing spins in the space external to the inclusions. This mean frequency explicitly depends on the correlation function of the inclusion. For anisotropic media this results in a nonzero frequency shift, which is confirmed by Monte Carlo simulations.

468
14:09
Frequency difference mapping as a marker of microstructural integrity of white matter in multiple sclerosis at 7T
Matthew Cronin1, Nicholas Geades2, Olivier Mougin2, Kingkarn Aphiwatthanasumet2, Nikos Evangelou2, Penny Gowland2, and Richard Bowtell2

1University of California, Berkeley, CA, United States, 2Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom

Frequency difference maps derived from GRE phase data have been shown to generate orientation-dependent contrast in white matter tracts in the brain due to signal compartmentalization in myelinated nerve fibers. Here, we investigate the use of frequency difference mapping (FDM) as a marker of white matter integrity; comparing FDM with PSIR; T2*-weighted magnitude; and quantitative susceptibility mapping (QSM) images of focal white matter lesions in patients with multiple sclerosis.  FDM shows clear contrast between these lesions and the surrounding white matter, suggesting that it has potential as a means of quantitatively identifying changes in white matter integrity in vivo.

469
14:21
More Than Simply Iron: How the Mesoscopic and Cellular Distribution of Iron Impacts the MR Contrast
Evgeniya P. Kirilina1,2, Katja Reimann3, Isabel Weigelt3, Thomas Arendt3, Andreas Deistung4,5, Jürgen R. Reichenbach4, Steffen Jankuhn6, Larissa Müller7, Norbert Jakubowski7, Markus Morawski3, and Nikolaus Weiskopf1

1Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Center for Cognitive Neuroscience Berlin, Free University Berlin, Berlin, Germany, 3Paul-Flechsig-Institute for Brain Research, Leipzig, Germany, 4Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital – Friedrich Schiller University Jena, Jena, Germany, 5Section of Experimental Neurology, Department of Neurology, Essen University Hospital, 6Department of Solid State Physics, Faculty of Physics and Earth Sciences Leipzig University, Leipzig, 7Bundesanstalt für Materialforschung und –prüfung BAM, Berlin, Germany

Iron is an important source of MRI contrast in the brain. Herein, we investigated the influence of the cellular and subcellular iron distribution on the iron-induced MR contrast.  Quantitative MRI on post mortem brain samples was combined with quantitative iron mapping and numerical simulations of local field distributions. We show that iron is heterogeneously distributed in both grey and white matter as well as in subcortical nuclei and different scales of heterogeneity play a role for MR contrast in these regions. Our results provide an important step towards quantitative understanding of iron induced MR-contrast and its microstructural underpinnings.

470
14:33
Calcification and iron deposition in basal ganglia structures: reversible and irreversible transverse relaxation rates at 7T
Mukund Balasubramanian1,2, Robert V. Mulkern1,2, and Jonathan R. Polimeni2,3,4

1Department of Radiology, Boston Children's Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 4Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States

Gradient-Echo Sampling of the Spin Echo (GESSE) data were acquired at 7T in 16 volunteers (ages: 23-87 years). In globus pallidus and putamen, the reversible and irreversible transverse relaxation rates derived from this data varied with age in a manner largely consistent with prior postmortem studies of iron concentration. The exception to this was when calcifications appeared to be present, leading to outliers in the reversible (but not irreversible) relaxation rates. Our results suggest that consideration of both reversible and irreversible transverse relaxation rates may reveal valuable information about tissue microstructure and may complement measurements based primarily on phase contrast.

471
14:45
Combining inhomogenous Magnetization Transfer (ihMT) with multi-point Dixon (mDixon) for myelin imaging with efficient fat suppression
Ece Ercan1, Ivan E Dimitrov2,3, Gopal Varma4, Xinzeng Wang1, Marco Pinho1,2, Ananth J Madhuranthakam1,2, Robert E Lenkinski1,2, and Elena Vinogradov1,2

1Radiology, University of Texas Southwestern Medical Center, Dallas, TX, United States, 2Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, United States, 3Philips Healthcare, Gainesville, FL, United States, 4Radiology, Division of MR Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States

Inhomogeneous magnetization transfer (ihMT) imaging is a novel enhanced magnetization transfer technique which has recently been applied in human brain and spinal cord. Spinal cord applications of ihMT can especially benefit from a robust fat suppression to help with reducing of the strong fat signal from the large voxel size used by this method. Here we introduce a pulsed ihMT-prepared 3D SPGR sequence with multi-echo Dixon acquisition for a robust fat suppression of the ihMT images. The ihMT multi-echo Dixon method is shown to provide an excellent fat and water separation without a compromise of the observable ihMT effect.

472
14:57
Anisotropy of inhomogeneous Magnetization Transfer (ihMT) in White Matter
Olivier M. Girard1, Valentin H. Prevost1, Samira Mchinda1, Gopal Varma2, David C. Alsop2, and Guillaume Duhamel1

1Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 2Division of MR Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States

Inhomogeneous magnetization transfer (ihMT) is a new endogenous contrast mechanism that has been proposed for imaging myelinated tissues. The dipolar interaction underlying the ihMT effect is intrinsically anisotropic, exhibiting the well-known (3cos²θ -1) angle dependency. Here we report experimental evidence of the anisotropy of ihMT in white matter and we derive a realistic theoretical model combining the angular dependency of the myelin lineshape and dipolar-order RF saturation theory.

473
15:09
Optimal framework for quantitative magnetization transfer imaging of small structures
Marco Battiston1, Francesco Grussu1, Andrada Ianus2,3, Torben Schneider4, Ferran Prados1,5, James Fairney6, Sebastien Ourselin5, Daniel C Alexander2, Mara Cercignani7, Claudia A M Gandini Wheeler-Kingshott1,8,9, and Rebecca S Samson1

1UCL Institute of Neurology, Queen Square MS Centre, UCL, London, United Kingdom, 2Centre for Medical Image Computing, Department of Computer Science, UCL, London, United Kingdom, 3Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal, 4Philips Healthcare, Guilford, United Kingdom, 5Translational Imaging Group, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, UCL, London, United Kingdom, 6Department of Medical Physics and Bioengineering, UCL, London, United Kingdom, 7CISC, Brighton & Sussex Medical School, Brighton, United Kingdom, 8Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 9Brain MRI 3T Mondino Research Center, C. Mondino National Neurological Institute, Pavia, Italy

Quantitative Magnetization Transfer (qMT) Imaging allows quantification of parameters describing the macromolecular component of tissues, potentially specific for myelin in the central nervous system. To date, applications of qMT in small structures (e.g. the spinal cord) have been hampered by prohibitively long acquisition. We present a framework for robust qMT examinations in small structures. It consists of: a dedicated MT-weighted sequence for reduced field-of-view imaging, explicit modelling of the non-steady state signal, and optimal definition of the sampling scheme. Superiority of the framework compared to a conventional qMT protocol is demonstrated in the healthy spinal cord and in the brainstem.

474
15:21
Towards a non-contrast assessment of blood-brain-barrier permeability
Zixuan Lin1, Yang Li2, Pan Su2, Jay J. Pillai2, Matthias van Osch3, and Hanzhang Lu2

1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States, 2The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 3C.J. Gorter Center for high field MRI, Radiology, Leiden University Medical Center, Leiden, Netherlands

Blood-brain-barrier (BBB) permeability has been shown to be disrupted in many diseases. Current study proposes a non-invasive method to measure the extraction fraction and BBB permeability of water. Studies were performed to provide proof-of-principle and a new sequence was developed to improve efficiency. These methods provided consistent results with previous literature. CO2 effect on permeability was explored and increased measurement sensitivity was demonstrated. 

475
15:33
Non-invasive Assessment of Vascular Water Permeability in the Mouse Brain using multi-TE ASL
Yolanda Ohene 1, Ian F Harrison 1, Payam Nahavandi 1, Ozama Ismail 1, David Thomas 2, Mark Lythgoe 1, and Jack Wells 1

1UCL Centre for Advanced Biomedical Imaging, Division of Medicine, University College London, London, United Kingdom, 2Leonard Wolfson Experimental Neurology Centre, UCL Institute of Neurology, London, United Kingdom

We apply a multi-TE ASL technique in the mouse brain, to separate intravascular and extravascular components of the ASL signal, as a non-invasive assessment of vascular permeability.  Methodological development enabled the technique to reliably capture ASL signal compartmentation in the mouse brain, despite inherently low SNR. We report a significant decrease in intravascular fraction of the ASL signal from 0.66 (± 0.17) to 0.35 (± 0.10) as inflow time increases from 1000ms to 1500ms. This technique can be applied to transgenic mouse models of neurodegeneration, and a kinetic model can extract vascular permeability parameters from the ASL signal distribution.  


Oral

MR Safety

Room 312 Tuesday 13:45 - 15:45 Moderators: Michael Steckner & Douglas Kelley

476
13:45
Morphing and Posing of Computational Anatomical Models: Enhanced Patient-Specific MRI RF Exposure Prediction
Manuel Murbach1, Bryn A. Lloyd1, Esra Neufeld1, Wolfgang Kainz2, and Niels Kuster1,3

1ITIS Foundation, Zurich, Switzerland, 2US Food and Drug Administration (FDA), Silver Spring, MD, United States, 3ETH Zurich, Zurich, Switzerland

The current MRI safety standards for exposure to radiofrequency fields are conservative and intended to protect the entire patient population. Limits set on whole-body average specific absorption rate take the patient’s weight into consideration, which allows robust, but only very rudimentary patient-specific exposure estimation. The introduction of combined morphing and posing in computational anatomical human models will enable further improvements in the accuracy of in silico local exposure estimation. In this study, we developed refined morphing techniques and explored the benefits for estimating personalized radiofrequency absorption, which could substantially reduce the safety margins necessary for conservative assessment of radiofrequency exposure.

477
13:57
An 8Tx/8Rx coil validation workflow toward Virtual Observation Points-based parallel transmission cervical spinal cord in vivo imaging at 7T
Aurélien Massire1,2,3, Andreas K. Bitz4, Nicolas Boulant5, Dorothee Schüler6, Tobias Wichmann 6, Thomas Troalen7, Jean-Philippe Ranjeva1,2,3, and Virginie Callot1,2,3

1Aix-Marseille Université, CNRS, CRMBM UMR 7339, Marseille, France, Marseille, France, 2AP-HM, Hôpital de la Timone, Pôle d’imagerie médicale, CEMEREM, Marseille, France, 3iLab-Spine - Laboratoire international associé - Imagerie et Biomécanique du rachis, France/Canada, 4Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 5UNIRS, NeuroSpin, CEA/DSV/I2BM, Gif-sur-Yvette, France, 6RAPID Biomedical GmbH, Rimpar, Germany, 7Siemens Healthineers, Saint-Denis, France

Parallel transmission is a cutting-edge asset to tackle RF field inhomogeneity or to realize inner volume selection for cervical spinal cord imaging at 7T. To perform VOP-based pTx in vivo exams with a dedicated 8Tx/8Rx coil the following workflow is proposed: 1) starting from electromagnetic simulations on generic human body models, Q-matrices sets were compressed with the VOP method. 2) B1+ mapping was performed on a phantom with known properties to validate these electromagnetic simulations by deriving calibration matrices, and initialize error propagations and further related safety margins. 3) MR thermometry was also performed to cross-check obtained results.

478
14:09
Massively accelerated VOP compression for population-scale RF safety models
Andre Kuehne1, Helmar Waiczies1, and Thoralf Niendorf2

1MRI.TOOLS GmbH, Berlin, Germany, 2Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine, Germany

Generating high-accuracy VOP sets for safety assessment is hampered by long computation times. We present modifications to the generalized VOP algorithm, significantly increasing its compression capabilities and speed. The novel algorithm is validated and benchmarked on SAR and temperature matrices from nine different coil arrays.

479
14:21
A personalised SAR model for subject-specific RF safety
Hongbae Jeong1, Jesper Andersson1, Aaron Hess2, and Peter Jezzard1

1Nuffield Department of Clinical Neurosciences, FMRIB Centre, University of Oxford, Oxford, United Kingdom, 2Department of Cardiovascular Medicine, Department of Cardiovascular Medicine, University of Oxford, Oxford, United Kingdom

In this study, we introduce a method to personalise SAR modelling by non-linear registration of a high-resolution reference voxel model into a target (subject-specific) head morphometry. We evaluate this by using two well characterised electromagnetic models, Duke and MIDA, by comparing MIDA-warped-into-Duke (MIKE), Duke and MIDA.  Maps of 10g SAR across a range of B1+ shims were evaluated, showing improved agreement between the MIKE and Duke models, versus the native MIDA and Duke models. By employing personalised SAR models an increased confidence in EM simulation can be achieved.

480
14:33
SAR-aware parallel transmit channel compression
Mihir Pendse1 and Brian K Rutt1

1Stanford University, Stanford, CA, United States

We describe a new approach for performing channel compression for pTx in cases where the number of elements in the transmit coil exceeds the number of exciters. Unlike previous methods for channel compression, the current approach takes local SAR information into account and seeks to minimize SAR while obtaining a uniform flip angle distribution. We demonstrate mitigation of local SAR hotspots with the current approach and show 30% reduction in peak local SAR compared to a SAR unaware approach.

481
14:45
A Hybrid model for calculation of Radio Frequency heating at the electrodes of an implanted neuro-stimulator.
John Nyenhuis1, Krishna Singhal1, and Peter Single2

1Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States, 2Saluda Medical, Artarmon NSW, Australia

We present an efficient computational method to calculate the temperature rise during MRI of tissue surrounding the electrodes of an active implanted lead. Inputs to the model are transmission line parameters as derived from electrical tests on the lead and the calculated tangential electric-field along the length of the lead during MRI.  The method was validated by comparing measured and calculated temperature rises at the electrodes of a neurostimulation lead in a phantom test. The distribution of temperature rise in the tissues surrounding the electrode array was calculated for a whole body SAR of 2 W/kg. The maximum temperature rise was 5.4oC, which is expected to be safe, but more work would be required to assess uncertainty in this determination.

482
14:57
Low Heating B1 Mapping in Parallel Transmit for Deep Brain Stimulators
Clare McElcheran1, Laleh Golestanirad2, Maria Iacono3, Benson Yang4, Kevan Anderson5, Giorgio Bonmassar2, and Simon Graham4

1University of Toronto, Toronto, ON, Canada, 2Massachusetts General Hospital, MA, United States, 3US Food and Drug Administration, Silver Spring, MD, United States, 4Sunnybrook Health Sciences Centre, ON, Canada, 5Innovere Medical, ON, Canada

Deep brain stimulators and other elongated implants interact with the RF transmission fields used in MRI, potentially causing unsafe levels of localized tissue heating.  It may be possible to suppress these heating effects using parallel RF transmission (pTx) methods, but a practical approach still remains to be implemented.  Toward this goal, we present a method that combines intra-operative computed tomography (CT) data, electromagnetic simulations, and low-SAR B1-mapping to determine pTx input parameters for suppressing heating effects in DBS patients.

483
15:09
FDTD Simulation of Thermo-Acoustic Ultrasound for Detection of RF Tip Heating
Neerav Dixit1, Pascal Stang2, John Pauly1, and Greig Scott1

1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Procyon Engineering, San Jose, CA, United States

Thermo-acoustic ultrasound uses the acoustic waves generated by thermoelastic expansion to detect peaks in local SAR and could be used to assess the risk of RF heating for patients with implanted or interventional devices. We developed simulations to characterize the generation and propagation of thermo-acoustic waves from device lead tips, and we validated the simulations with experimental results. The simulations provide insight into the properties of thermo-acoustic signals and can aid in the development of a thermo-acoustic ultrasound system for the assessment of RF safety.

484
15:21
Variation of RF heating around deep brain stimulation leads during 3.0 T MRI in fourteen patient-derived realistic lead models: The role of extracranial lead management
Laleh Golestanirad1, Julie Pilitsis2, Alastair Martin3, Paul Larson4, Boris Keil5, Giorgio Bonmassar6, and Lawrence L Wald7

1Radiology, Massachusetts General Hospital, Brookline, MA, United States, 2Neurosurgery, Albany Medical Center, 3Radiology, UCSF School of Medicine, 4Neurological Surgery, University of California San Francisco, 5Life Science Engineering, Institute of Medical Physics and Radiation Protection, Mittelhessen University of Applied Sciences (THM), 6Radiology, Massachusetts General Hospital, 7Massachusetts General Hospital, Charlestown, MA, United States

Post-operative MRI of patients with deep brain stimulation (DBS) implants is useful to assess complications and diagnose comorbidities. More than one third of medical centers, however, do not perform MRI on this patient population due to safety risks. Almost nothing is known about the variation and extent of RF heating of DBS leads during MRI at higher fields (>1.5 T) in a real patient population. Here we report the results of SAR calculations around DBS leads in a cohort of fourteen realistic DBS lead geometries.  We also present preliminary results of applying an intra-operative lead management technique to reduce SAR during 3.0 T MRI.

485
15:33
Specific Absorption Rate, dB/dt, and Device Parameters Following MRI of Patients with Implanted Cardiac Devices
Amir Ali Rahsepar1, Rozann Hansford1, Michael A. Guttman1, Valeria Castro1, Diana McVeigh1, Stefan Zimmermann1, John Kirsch2, Henry R. Halperin1, and Saman Nazarian1

1Johns Hopkins University, Baltimore, MD, United States, 2Siemens Medical Solutions

This large prospective study showed that the previously suggested SAR limit of 2 W/kg can be unduly restrictive. No other MRI characteristics appear to predict changes in device system parameters.


Oral

Non-Proton MRI & MRS

Room 313A Tuesday 13:45 - 15:45 Moderators: Paul Bottomley & Prodromos Parasoglou

486
13:45
Self-gated 23Na-MRI of human lung with separate reconstruction of two respiratory states at 7T
Tanja Platt1, Reiner Umathum1, Armin M. Nagel1,2, Peter Bachert1, Mark E. Ladd1, Mark O. Wielpütz3, Hans-Ulrich Kauczor3, and Nicolas G. R. Behl1

1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Institute of Radiology, University Hospital Erlangen, Erlangen, Germany, 3Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany

23Na-MRI at 7T can give valuable insights into lung physiology because 23Na signals are linked to sodium-potassium-ATPase and to fluid balance. However, low NMR sensitivity and low in-vivo concentrations of Na+ ions in-vivo limit the achievable spatial resolution and prolong acquisition times. In this study a retrospective self-gated reconstruction was used to reduce motion artifacts in free-breathing 23Na-MRI of human lung. The presented method allows for the reconstruction of 23Na images which correspond to two respiratory motion states for free-breathing volunteers and patients. 3D Dictionary-Learning Compressed-Sensing reconstruction was shown to markedly reduce image noise.

487
13:57
Using Hyperpolarized 129Xe MRI to Detect Impaired Cerebral Perfusion in Human Brain with Alzheimer’s Disease
Tao Li1, Francis T. Hane1,2, Jane M. Lawrence-Dewar2, Ayman Hassan3, Karl Granberg3, Raiili M. Pellizzari1, Jennifer A. Plata2, and Mitchell S. Albert1,2,4

1Department of Chemistry, Lakehead University, Thunder Bay, ON, Canada, 2Thunder Bay Regional Health Research Institute, Thunder Bay, ON, Canada, 3Thunder Bay Regional Health Sciences Centre, Thunder Bay, ON, Canada, 4Northern Ontario School of Medicine, Thunder Bay, ON, Canada

In this work, we present the first hyperpolarized 129Xe human brain MR spectra and human brain MR images from participants with Alzheimer’s Disease. We found a marked difference in the wash-out of dissolved phase xenon from the brain between the two groups, likely resulting from impaired cerebral blood flow in the Alzheimer’s Disease participants. By exploring this difference, we demonstrate the feasibility and sensitivity of hyperpolarized 129Xe MRI in detecting changes in cerebral perfusion and evaluating this important physiological characteristic during an early stage of mild to moderate Alzheimer’s Disease.

488
14:09
DIrect EStimation of 17O MR ImageS (DIESIS) for CMRO2 Quantification in the Human Brain with Partial Volume Correction
Dmitry Kurzhunov1, Robert Borowiak1,2,3, Marco Reisert1, Axel Joachim Krafft1, and Michael Bock1

1Dept. of Radiology, Medical Physics, Medical Center – University of Freiburg, Freiburg, Germany, 2German Cancer Consortium (DKTK), Heidelberg, Germany, 3German Cancer Research Center (DKFZ), Heidelberg, Germany

Direct 17O-MRI enables quantification of cerebral metabolic rate of oxygen consumption (CMRO2). The low MR sensitivity of the 17O nucleus prevents pixel-wise CMRO2 quantification and the fast T2*≈2ms decay leads to partial volume artifacts. In this work the DIESIS method is proposed, which performs a direct least squares estimation of the 17O‑MR signal in image regions (parcels) obtained from coregistered 1H data. CMRO2 values of 1.38-1.87µmol/gtissue/min and 0.51-0.77µmol/gtissue/min were found with DIESIS in gray and white matter consistent with rates from 15O-PET studies. With DIESIS, CMRO2 maps of high resolution can be reconstructed and partial volume artifacts can be reduced.

489
14:21
Multi-echo chemical shift encoding (MECSE) for sensitive fluorine-19 MRI of complex spectra
Ruud B van Heeswijk1, Roberto Colotti1, Emeline Darçot1, Jean Delacoste1, Maxime Pellegrin2, Davide Piccini1,3, and Diego Hernando4,5

1Radiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland, 2Angiology, Lausanne University Hospital (CHUV), Lausanne, Switzerland, 3Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 4Radiology, University of Wisconsin-Madison, Madison, WI, United States, 5Medical Physics, University of Wisconsin-Madison, Madison, WI, United States

Now that several clinical trials are underway, sensitive fluorine-19 MRI of biocompatible perfluorocarbons with complex MR spectra, such as perfluorooctyl bromide (PFOB), is seeing increased interest. We here therefore propose a novel multi-echo chemical shift encoding (MECSE) technique that accounts for all resonances in k-space and reconstructs a high-sensitivity image free of chemical-shift-displacement artifacts. MECSE was developed and characterized in a phantom study, compared to established techniques for imaging compounds with complex spectra, and preliminarily demonstrated in vivo. 

490
14:33
Coupling of the glutamate-glutamine cycle rate with both glial and neuronal oxidative metabolism in the visual cortex of the Tupaia belangeri
Sarah Sonnay1, Jordan Poirot2, Nathalie Just3, Anne-Catherine Clerc1, Rolf Gruetter1,4,5, Gregor Rainer2, and João M.N. Duarte1

1Laboratory of Functional and Metabolic Imaging (LIFMET), Ecole Polytechnique Fedérale de Lausanne (EPFL), Lausanne, Switzerland, 2Department of Medicine, Visual Cognition Laboratory, University of Fribourg, Fribourg, Switzerland, 3University Hospital Münster, Münster, Germany, 4Department of Radiology, University de Lausanne, Lausanne, Switzerland, 5Department of Radiology, University de Geneva, Geneva, Switzerland

Cerebral function relies on cooperative interaction between neuronal and glial cells. While neuronal oxidative metabolism has been shown to be coupled to the glutamate-glutamine cycle that represents glutamatergic neurotransmission, it remains unclear whether similar coupling occurs for glial oxidative metabolism. We investigated cortical metabolism in vivo using 13C magnetic resonance spectroscopy (MRS) along with infusion of [1,6-13C]glucose during continuous stimulation of the tree shrew visual cortex (V1). Data indicate that both neuronal and glial oxidative metabolism scale with the glutamate-glutamine cycle.

491
14:45
Detection of Carbonic Anhydrase Activity in Human Brain in Vivo
Shizhe Li1, Li An1, Christopher Johnson1, Maria Ferraris Araneta1, and Jun Shen1

1National Institutes of Health, Bethesda, MD, United States

This study demonstrates the feasibility of detecting carbonic anhydrase activity in the human brain. A very large magnetization transfer effect on the bicarbonate signal was measured in healthy human subjects using 13C MRS upon saturation of carbon dioxide. Despite the large variations in blood glucose response to oral administration of 13C-labeled glucose the magnetization transfer effect was measured with high precision.

492
14:57
MRS measurements of [2-13C] glycine conversion to glutathione in the liver: A new method of measuring hepatic oxidative stress defences in vivo
Stephen Bawden1,2, Bernard Lanz2, Mehri Kaviani2, Peter Morris2, Penny Gowland2, Peter Thelwall3,4, and Guruprasad P Aithal1

1NIHR Nottingham Digestive Diseases Unit, Nottingham University Hospitals, University of Nottingham, Nottingham, United Kingdom, 2Sir Peter Mansfield Imaging Center, Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom, 3Newcastle Magnetic Resonance Center, Newcastle University, 4Institute of Cellular Medicine, Newcastle University

With rising incidents of fatty liver disease and metabolic disorder there is a need for biomarkers that can assess progression to steatohepatitis and other forms of liver damage. Oxidative stress in the mitochondria may play a central role in disease progression, with glutathione acting as the main antioxidant. In this study we developed a method previously suggested to monitor hepatic glutathione production in vivo by administering oral [2-13C] labelled glycine and using 13C MRS to measure conversion to glutathione. Following optimization, we tested variability in 8 healthy volunteers over two visits.


493
15:09
StreST: Myocardial Creatine Kinase Rate in Both Rest and Stress.
William T Clarke1, Jennifer J Rayner1, Betty Raman1, Stefan Neubauer1, Oliver J Rider1, and Christopher T Rodgers1

1OCMR, CV Med RDM, University of Oxford, Oxford, United Kingdom

A method for reduced time and stress myocardial creatine kinase measurements using 31P-MRS at 3T is presented. The new method is validated in healthy controls and demonstrated in 27 obese and heart-failure patients. In addition, the existing TRiST method is applied in 63 subjects for the first time on a Siemens platform.

494
15:21
Multi-transmit proton MRI combined with high power body transmit and receive array for 7 Tesla phosphorus imaging
Mark Gosselink1, Dimitri Welting1, Tim Linnartz2, Ingmar Voogt1, Bart Steensma1, Lucian A.B. Purvis3, Christopher T. Rodgers3, Tijl van der Velden1, Wybe van der Kemp1, and Dennis W.J. Klomp1

1University Medical Center Utrecht, Utrecht, Netherlands, 2MRCoils, Zaltbommel, Netherlands, 3University of Oxford Centre for Clinical Magnetic Resonance Research (OCMR), Oxford, United Kingdom

We have integrated a body RF coil tuned at the 31P frequency outside the patient tube in a 7T MR system for homogeneous B1 transmit and combined it with a 8 channel 31P receive array for optimal sensitivity. Imaging and B0 shimming is done with radiative antennas integrated in the receiver setup. With this setup, large field of view imaging and broadband 31P MRSI with high SNR can be obtained.  

495
15:33
Fast quantitative 31P MRI using prior information from 1H MRI
Kristian Rink1, Nicolas G.R. Behl1, Christine Gnahm1, Peter Bachert1, and Armin M. Nagel1,2

1German Cancer Research Center (DKFZ), Heidelberg, Germany, 2University Hospital Erlangen, Erlangen, Germany

Phosphorus-containing biomolecules play a crucial role in the energy metabolism of the human body. Compared to hydrogen, the in vivo phosphorus MR signal is four orders of magnitude lower. In this study, a conventional gridding reconstruction applied on the phosphocreatine signal of the human calf was compared to a constraint iterative approach, which uses prior knowledge from hydrogen MRI data. For both reconstructions, different acquisition times were tested and phosphocreatine concentrations in the gastrocnemius and soleus muscles were estimated.


Oral

Multimodal & Multiparametric Neuroimaging

Room 313BC Tuesday 13:45 - 15:45 Moderators: Florian Knoll & Xiaohong Joe Zhou

496
13:45
LONG TERM EFFECTS OF PULSED FOCUSED ULTRASOUND AND MICROBUBBLES DETECTED BY MULTIVARIATE IMAGING MODALITIES
Zsofia I Kovacs1, Tsang-Wei Tu1, Georgios Z Papadakis1,2, William C Reid2, Dima A Hammoud2, and Joseph A Frank1,3

1Frank Laboratory, Radiology and Imaging Sciences, Clinical Center, National Institutes of Health, Bethesda, MD, United States, 2Center for Infectious Disease Imaging (CIDI), Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, United States, 3National Institute of Biomedical Imaging and Bioengineering, National Institutes of Health, Bethesda, MD, United States

Blood brain barrier (BBB) opening by MR-guided pulsed Focused Ultrasound (pFUS) and microbubbles (MB) is a non-invasive treatment of various central nervous system diseases. However, the potential adverse effects of repeated pFUS+MB exposure have not been thoroughly elucidated and may limit clinical translation. To date MRI scans of repeated BBB opening by pFUS+MB have been achieved without hemorrhage, edema and behavioral changes in non-human primates (Arvanitis, et al. 2015; Downs, et al. 2015). By incorporating detailed multivariate imaging modalities we characterized the long term effects of single or repeated pFUS+MB in the rat brain.

497
13:57
Function versus occupancy in the human brain: PET/fMRI during infusion of D2 antagonist
Tracy Barbour1,2, Christin Sander3,4, Daphne J. Holt1,5, and Joseph Mandeville3,4

1Psychiatry, Massachusetts General Hospital and Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Radiology, Massachusetts General Hospital and Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, United States, 4Radiology, Harvard Medical School, Boston, MA, United States, 5Psychiatry, Harvard Medical School, Boston, MA, United States

Simultaneous PET and fMRI were employed in healthy human subjects to investigate the dose-dependent relationship between drug occupancies of a D2-receptor antagonist and induced CBF responses measured by arterial spin labeling. Results indicate a super-linear relationship between CBF and occupancy, with a larger CBF response in putamen than in caudate at matched occupancies. These results inform dopaminergic neurophysiology, and the method may provide general utility for probing dopaminergic function in human subject cohorts.

498
14:09
Myelin Water Imaging Using T2-Relaxation in the Spinal Cord; Comparison of Multi-echo GRASE and mcDESPOT
Emil Ljungberg1, Irene Vavasour2, Alexander Rauscher3, Anthony Traboulsee1, Alex MacKay2,4, and Shannon Kolind1,2

1Medicine, University of British Columbia, Vancouver, BC, Canada, 2Radiology, University of British Columbia, Vancouver, BC, Canada, 3Pediatrics, University of British Columbia, Vancouver, BC, Canada, 4Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada

There are currently several techniques for in vivo myelin water imaging using T2 relaxation. In this study we compare two clinically feasible myelin water imaging protocols for the cervical spinal cord: mcDESPOT and multi-echo GRASE. Myelin estimates from GRASE were consistently higher than mcDESPOT in white matter, but both techniques were able to differentiate between white and gray matter. T1 estimates from mcDESPOT also showed clear differences between white and gray matter. By combining GRASE and mcDESPOT, with total acquisition time less than 15 min, we can build a better picture of the tissue microstructure of the spinal cord.

499
14:21
Improved Localisation of DBS Electrodes using Pseudo-Positive Contrast from a Zero-Echo-Time Acquisition
Rolf F Schulte1, Jeffrey Ashe2, Sohan Ranjan3, Julia Prusik4, Julie Pilitsis4, Stanley Hayes5, Anne Menini1, Florian Wiesinger1, and Ileana Hancu2

1GE Global Research, Munich, Germany, 2GE Global Research, Niskayuna, NY, United States, 3GE Global Research, Bangalore, India, 4Albany Medical College, Albany, NY, United States, 5Alliance Healthcare Radiology, Nathan Littauer, Gloversville, NY, United States

The goal of this work is to reduce artefact extent and improve localisation of deep-brain stimulation (DBS) electrodes with MRI. A Zero Echo-Time (ZTE) sequence was used for data acquisition in a phantom and a patient; the minimal signal voids around electrodes, the ZTE’s natural proton-density weighting and low SAR/B1rms make it ideal for imaging implants. A pseudo-positive contrast image was first generated by inverting ZTE image intensity values, fitting and subtracting the background signal; a centre of mass calculation and singular value decomposition were then employed for electrode detection. Similar-sized artefacts as in CT images and improved precision over standard T1-weighted imaging were demonstrated.

500
14:33
Tissue type mapping of gliomas using multimodal MRI
Felix Raschke1, Thomas Richard Barrick2, Guang Yang3, Timothy Lloyd Jones4, Xujiong Ye5, and Franklyn Arron Howe2

1Faculty of Medicine and University Hospital Carl Gustav Carus, OncoRay – National Center for Radiation Research in Oncology, Dresden, Germany, 2Neurosciences Research Centre, St George's, University of London, London, United Kingdom, 3National Heart and Lung Institute, London, United Kingdom, 4Academic Neurosurgery Unit, St George's, University of London, London, United Kingdom, 5Laboratory of Vision Engineering, School of Computer Science, University of Lincoln

1H MRSI can assess glioma infiltration margins and malignant invasion but technical limitations prevent widespread use. In this study we used 2D 1H MRSI to determine voxels of specific tumour tissue type from which we extracted multimodal MRI (M-MRI) image characteristics. Subsequently, we applied superpixel segmentation and Bayesian statistical analysis to M-MRI alone to derive nosologic tumor images of these same tissue types with whole brain coverage. We obtained 100% classification accuracy for overall glioma grade, and an average 0.77 Dice overlap coefficient with the manual segmentation volume. Such methodology could aid prognostic assessment, surgical treatment and radiotherapy dose planning.

501
14:45
Multimodal Imaging of Vascularity and Drug Delivery in GBM Patients Treated with Anti-angiogenesis Inhibitor
Yi-Fen Yen1, Jayashree Kalpathy-Cramer1, Ciprian Catana1, Xiao Da2, Yangming Ou1, Andrew L. Beers1, Jacob Hooker1, Bruce Rosen1, Tracy Batchelor3, and Elizabeth R. Gerstner3

1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Functional Neuroimaging Laboratory, Brigham and Women’s Hospital, Boston, MA, United States, 3Department of Neuro-oncology, Massachusetts General Hospital, Boston, MA, United States

Anti-angiogenic agents can decrease vessel permeability and perfusion, raising concerns that these agents may also decrease blood brain barrier penetration of concomitantly administered chemotherapy. Using MR-PET multimodal imaging, we found radiolabeled temozolomide correlated with permeability and perfusion in patients with recurrent GBM treated with bevacizumab. MR assessment of vascularity may be a surrogate marker for concomitant drug delivery. 

502
14:57
Haemodynamic and metabolic MR biomarkers of disease progression in an animal model of relapsing-remitting multiple sclerosis
Mohamed Tachrount1, Andrew Davies1, Flavia Rosianu1, Roshni Desai1, David Thomas1, Kenneth Smith1, and Xavier Golay1

1Institute of Neurology, UCL, London, United Kingdom

Multiple sclerosis (MS) is a chronic inflammatory demyelinating and neurodegenerative disorder of unknown cause affecting the central nervous system. We have assessed haemodynamic and metabolic alterations within spinal cord during disease progression in an animal model (experimental autoimmune encephalomyelitis (EAE) by combining both arterial spin labelling (ASL) and MR Spectroscopy. We demonstrate for the first time that the neurological deficits are strongly correlated with impaired blood flow and reveal both reversible and irreversible simultaneous metabolic alterations.

503
15:09
Multimodal MR investigation of brain and behavioral changes in patients with HIV-infections
Michael Albert Thomas1, Rajakumar Nagarajan2, Eric S Daar3, Santosh K Yadav4, Charles H Hinkin5, Manoj K Sarma6, Zohaib Iqbal1, Sathya Arumugam1, Mario Guerrero 3, Mohammad Haris4, and Ebrahim Haroon7

1Radiological Sciences, UCLA Geffen School of Medicne, los angeles, CA, United States, 2Radiological Science, UCLA Geffen School of Medicine, los angeles, CA, United States, 3Medicine, Harbor-UCLA Medical Center, Torrance, CA, United States, 4Research Branch, Sidra Medical and Research center, Doha, Qatar, 5Psychiatry, UCLA Geffen School of Medicine, Los Angeles, CA, United States, 6Radiological Sciences, UCLA Geffen School of Medicine, Los Angeles, CA, 7Psychiatry, Emory University, Atlanta, GA, United States

Regional brain volumes and cortical thickness using 3D T1-weighted MP-RAGE and neurometabolites quantitated using 5D EP-JRESI MRSI were obtained from a group of HIV+ (n=16) and HIV-subjects (n=15). Compared to HIV- subjects, following findings were observed in HIV+: i) decreases in the volume of right thalamus, mid anterior corpus callosal region and cortex (right, left, combined), and ii) decreases in cortical thickness of superior parietal and inferior temporal regions. The cortical thickness and volumetric changes were predicted by (increased choline, decreased NAA and Glx). Right basal ganglia glutamate/glutamine ratios and HIV+ status together significantly predicted psychomotor slowing during neurocognitive testing. 

504
15:21
Combined tract-based analysis of diffusion fractional anisotropy and quantitative susceptibility mapping: a joint assessment of axonal and myelin microstructural changes in children with cerebral palsy
Lijia Zhang1, Lyon Wade Chen1, Susan Ellor1, Jessica Sun1, Joanne Kurtzberg1, and Allen Song1

1Brain Imaging and Analysis Center, Durham, NC, United States

In this report we developed a tract-based diffusion anisotropy and magnetic susceptibility analysis approach to jointly evaluate the potential mechanisms for axonal growth and myelin repair in children undergoing autologous cord blood stem cell therapy. Advancing from our prior findings that baseline brain connectivity is correlated with CP disease severity and that brain connectivity increase is correlated with functional motor improvement in CP patients, we provide further evidence that the increased brain connectivity may be the result of increased myelination of the affected neural pathways, in addition to the possibility of axonal regeneration.

505
15:33
Multimodal MRI biomarker study of substantia nigra damage in idiopathic REM sleep behavior disorder
Nadya Pyatigorskaya1,2,3, Rahul Gaurav2, Dario Arnaldi4, Smaranda Leu-Semenescu5, Lydia Yahia-Cherif2, Romain Valabregue2, Marie Vidailhet3,6, and Stephane Lehericy1,2,3

1Neuroradiology department, APHP, Pitié Salpêtrière, Paris, France, 2Centre de NeuroImagerie de Recherche – CENIR, ICM, ICM, Paris, France, 3UPMC Univ Paris 06, UMR S 1127, CNRS UMR 7225, ICM, F-75013, Paris, France, Sorbonne universités, Paris, France, 4Clinical Neurology, Dept. of Neuroscience, University of Genoa, Italy, 5Service des pathologies du Sommeil, Hôpital Pitié-Salpêtrière, APHP, Pitié Salpêtrière, Paris, France, 6Clinique des mouvements anormaux, Département des Maladies du Système Nerveux, APHP, Pitié Salpêtrière, Paris, France

We quantified substantia nigra (SN) damage in idiopathic REM sleep behavior disorder (iRBD) patients using multimodal MRI biomarkers and determined biomarker efficacy. Nineteen patients with iRBD and 18 healthy volunteers underwent 3-Tesla MRI, including diffusion tensor imaging, neuromelanin (NM)-sensitive imaging and T2* mapping. The volume and normalized signal intensity in NM-sensitive images, R2* and diffusion tensor measures were quantified in the SN. Patients with iRBD showed reduced NM-sensitive volume and signal intensity and reduced fractional anisotropy versus controls in the SN. Combination of the three biomarkers had excellent diagnostic accuracy. These measures may represent valuable biomarkers for prodromal Parkinson’s disease.


Oral

Psychiatric Neuroimaging

Room 314 Tuesday 13:45 - 15:45 Moderators: Salil Soman & Meiyun Wang

506
13:45
Structural brain changes after Electroconvulsive therapy are broadly distributed.
Leif Oltedal1,2, Ute Kessler3, Donald Hagler1, Vera Jane Erchinger2, Dominic Holland1, Ketil J Oedegaard2, and Anders M Dale1,4

1Center for Multimodal Imaging and Genetics, University of California San Diego, San Diego, CA, United States, 2Department of Clinical Medicine, University of Bergen, Bergen, Norway, 3Division of Psychiatry, Haukeland University Hospital, Bergen, Norway, 4Department of Radiology, University of California San Diego, CA, United States

Major depression is the leading cause of disability in the world. Electroconvulsive therapy (ECT) which is used in major depression when other treatments are ineffective, has been shown to cause increased volume of multiple specific subcortical and cortical regions. A sample of 19 patients with T1-weighted 3D volumes acquired before and after ECT was analyzed by using nonlinear registration and unbiased methods for quantification of regional anatomical change (Quarc). The effect sizes of ECT-induced brain changes are large, and the changes are more broadly distributed than previously thought. The results suggest a global effect, probably modulated by the stimulation parameters. 

507
13:57
Dose-dependent effects of citalopram on serotonergic function assessed with SPECT and pharmacological MRI
Anouk Schrantee1, Henk JMM Mutsaerts1,2, Jan Booij3, and Liesbeth Reneman1

1Department of Radiology, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands, 2Sunnybrook Research Institute, University of Toronto, Toronto, Canada, 3Department of Nuclear Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands

Serotonin transporter (SERT) imbalances are involved in the pathogenesis of a wide range of neuropsychiatric diseases, including depression. SERT blockers, like citalopram, decrease radioligand binding to the SERT in a dose-dependent manner, as measured with SPECT. In addition to replicating this finding, we show that pharmacological MRI (phMRI) can also detect differences in SERT occupancy with different oral doses of citalopram; higher citalopram plasma levels are associated with lower subsequent changes in the phMRI signal upon an intravenous citalopram challenge. This is important as this non-ionizing technique allows longitudinal assessment of the serotonin system. 

508
14:09
Relationship Between Prefrontal GABA Levels and Hippocampal Resting Activity in Subjects at Ultra High Risk of Psychosis: A Combined MRS-pCASL study
Gemma Modinos1, Fatma Simsek1, Jamie Horder1, Matthijs Bossong2, Carly Samson3, Matilda Azis1, Beverly Quinn4, Ilaria Bonoldi1, Paul Allen1,5, Philip McGuire1, and James Stone1

1Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom, 2University Medical Center Utrecht, Utrecht, Netherlands, 3University of Surrey, Guildford, United Kingdom, 4CAMEO, Cambridgeshire and Peterborough Mental Health Partnership NHS Trust, Cambridge, United Kingdom, 5University of Roehampton, London, United Kingdom

Converging evidence from preclinical studies indicates that dysfunction of the gamma-aminobutyric acidergic (GABAergic) neurotransmitter system plays a major role in the pathophysiology of schizophrenia. Despite the improved methods and reliability of neuroimaging measurements, which have recently facilitated testing predictions from animal models in humans, the extent to which GABAergic neurotransmission is altered in patients with psychosis is less clear. Furthermore, although preclinical evidence suggests that decreased cortical interneuron function leads to hippocampal activity overdrive, no study has explicitly investigated the relationship between neurotransmission and neurophysiology in humans. Here we show that prefrontal GABA function is reduced in individuals at ultra high risk of developing psychosis and that this reduction is related to hippocampal (and nominally to prefrontal) resting activity. These findings shed light on the pathophysiology of vulnerability for schizophrenia by showing that alterations in GABAergic systems have downstream effects on hippocampus before the onset of psychosis.

509
14:33
“Brain Rust” in Schizophrenia Revealed by in vivo Redox (NAD+/NADH) Measurement
Fei Du1, Sang-Young Kim1, Bruce M. Cohen1, Xi Chen1, Scott Lukas1, Ann Shinn1, Cagri Yuksel1, Tao Li2, and Dost Ongur1

1McLean Hospital, Harvard Medical School, Belmont, MA, United States, 2West China Hospital, Sichuan University, Chengdu, People's Republic of China

A growing body of evidence suggests that an “immuno-oxidative” pathway including redox dysregulation associated with oxidative stress, mitochondrial dysfunction, neuroinflammation, and cell-mediated immune response may contribute to disruptions in brain activity in schizophrenia (SZ). The aim of this study is to assess possible redox imbalance in SZ patients by using a novel in vivo 31P-MRS technique to measure NAD+ and NADH. Our results revealed a ~40% decrease of NAD+/NADH ratio compared to healthy individuals of similar age, indicating higher levels of oxidative stress in patients with schizophrenia. This work may lead to new strategies to protect the brain from oxidative stress and improve brain function in schizophrenia or the other brain disorders.

510
14:45
Effective Connectivity Network of Emotion Regulation in Soldiers with Trauma
D Rangaprakash1,2, Michael N Dretsch3,4, Thomas A Daniel5,6, Thomas S Denney1,5,7, Jeffrey S Katz1,5,7, and Gopikrishna Deshpande1,5,7

1AU MRI Research Center, Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, United States, 2Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, United States, 3Human Dimension Division, HQ TRADOC, Fort Eustis, Fort Eustis, VA, United States, 4U.S. Army Aeromedical Research Laboratory, Fort Rucker, Fort Rucker, AL, United States, 5Department of Psychology, Auburn University, Auburn, AL, United States, 6Department of Psychology, Westfield State University, Westfield, MA, United States, 7Alabama Advanced Imaging Consortium, Auburn University and University of Alabama Birmingham, Birmingham, AL, United States

Conscious regulation of emotions is essential for sound functioning of an individual, while its disruption leads to several severe symptoms observed in psychiatric disorders like posttraumatic stress disorder (PTSD) and mild-traumatic brain injury (mTBI). While the brain regions activated in emotion regulation have been elucidated in prior works, an understanding of the underlying network has been elusive. Employing an emotion regulation task, we discovered the network of emotion regulation in healthy soldiers, and dysregulation in soldiers with comorbid PTSD/mTBI (N=59). Our work is significant given that we present, for the first time, the evidence for the network of emotion regulation/dysregulation.

511
14:57
Investigating Brain Connectomic Alterations in PTSD and PCS using the Reproducibility of Independent Components obtained from Resting-State Functional MRI Data
Mohammed Syed1, D Rangaprakash2,3, Michael N Dretsch4,5, Thomas S Denney2,6,7, Jeffrey S Katz2,6,7, and Gopikrishna Deshpande2,6,7

1Department of Computer Science and Software Engineering, Auburn University, Auburn, AL, United States, 2AU MRI Research Center, Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, United States, 3Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, United States, 4Human Dimension Division, HQ TRADOC, Fort Eustis, Fort Eustis, VA, United States, 5U.S. Army Aeromedical Research Laboratory, Fort Rucker, Fort Rucker, AL, United States, 6Department of Psychology, Auburn University, Auburn, AL, United States, 7Alabama Advanced Imaging Consortium, Auburn University and University of Alabama Birmingham, Birmingham, AL, United States

Posttraumatic stress disorder (PTSD) and Post-concussion syndrome (PCS) are heterogeneous neurological disorders where fMRI connectivity metrics derived from them may not be highly reproducible, leading to poor generalizability and consequently lower classification accuracies. We present a method that characterizes the reproducibility of networks using ‘generalized Ranking and Averaging Independent Component Analysis by Reproducibility’ (gRAICAR) algorithm followed by unsupervised clustering to discriminate between the groups based on functional brain networks that are most reproducible within PTSD, PCS, and healthy control groups separately. We identify dorsolateral prefrontal cortex, inferior parietal lobule, caudate and medial prefrontal cortex as regions within the most reproducible independent components.

512
15:09
Real-time fMRI Neurofeedback of the Amygdala Enhances Amygdala-orbitofrontal Connectivity and Lateralized EEG Coherence in Veterans with Combat-related PTSD
Vadim Zotev1, Raquel Phillips1, Masaya Misaki1, Chung Ki Wong1, Brent Wurfel1, Matthew Meyer1,2, Frank Krueger1,3, Matthew Feldner1,4, and Jerzy Bodurka1,5

1Laureate Institute for Brain Research, Tulsa, OK, United States, 2Laureate Psychiatric Clinic and Hospital, Tulsa, OK, United States, 3Neuroscience Dept., George Mason University, Fairfax, VA, United States, 4Dept. of Psychological Science, University of Arkansas, Fayetteville, AR, United States, 5College of Engineering, Stephenson School of Biomedical Engineering, University of Oklahoma, Tulsa, OK, United States

We have performed a study of emotion regulation training in veterans with combat-related PTSD using real-time fMRI neurofeedback (rtfMRI-nf) with simultaneous EEG. Eighteen PTSD patients learned to upregulate their left amygdala activity using rtfMRI-nf during a positive emotion induction task based on retrieval of happy autobiographical memories. Enhancement in the amygdala-orbitofrontal functional connectivity during the rtfMRI-nf task showed positive correlation with severity of PTSD symptoms. Enhancement in left-lateralized upper alpha EEG coherence also positively correlated with PTSD severity. These results suggest that the rtfMRI-nf of the amygdala has the potential to correct the functional connectivity deficiencies specific to PTSD.

513
15:21
The Cerebellum and Brainstem Together Increase Classification Accuracy for Autism Spectrum Disorder over the Whole Brain
Muriel M. K. Bruchhage1, Leon M. Aksman1, Andre F. Marquand2, MRC AIMS Consortium3, EU TACTICS Consortium4, Jan Buitelaar2, Declan Murphy5, and Steven C. R. Williams1

1Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom, 2Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands, 3Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London; Cambridge University; Oxford University, London; Cambridge; Oxford, United Kingdom, 4Radboud University Medical Center; King's College London; University Medical Center Utrecht; Central Institute of Mental Health Mannheim, Nijmegen; London; Utrecht; Mannheim, Netherlands, 5Sackler Institute of Translational Neuroimaging, Department of Forensics and Neurodevelopmental Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom

Autism spectrum disorder (ASD) has been linked to cerebellar and brainstem dysfunction and abnormal development, but it remains unclear whether these regional abnormalities can help classify the disorder. Performing machine learning based classification using Jacobian determinant based features on two independent male ASD cohorts (adult and paediatric) of different sizes and age range, we demonstrated a consistently higher classification accuracy by up to 15% using the cerebellum and brainstem as regions of interest classifiers over the whole brain. In both cohorts, classification was driven by regional differences in the posterior lateral cerebellum.

514
15:33
Atypical maturation of short-range fibers connecting higher-order brain regions in children with autism aged 2-7 years
Minhui Ouyang1, Jennifer Muller1, Hua Cheng2, Yun Peng2, J. Christopher Edgar1,3, Timothy P.L. Roberts1,3, and Hao Huang1,3

1Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2Radiology, Beijing Children's Hospital, Capital Medical University, Beijing, People's Republic of China, 3Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

A pattern of local or short-distance “over-connectivity” and long-range under-connectivity is frequently hypothesized in individuals with autism spectrum disorder (ASD). Little is known about the spatiotemporal characterization of structural short-distance connections in typically developing (TD) children or children with ASD. We hypothesized that altered trajectories of short-range association fibers (SAF) are not uniform across the brain regions, with abnormal maturation primarily observed in higher-order but not in primary sensory brain regions in children in ASD. Here, we quantified SAF with a novel index defined as normalized SAF (NSAF) based on diffusion MRI tractography, and characterized its trajectories across brain regions. 


Oral

Simultaneous Multi-Slice

Room 316BC Tuesday 13:45 - 15:45 Moderators: Markus Barth & William Grissom

515
13:45
Robust 2D Nyquist Ghost Correction for Simultaneous Multislice (SMS) EPI Using Phase Error Correction SENSE and Virtual Coil SAKE
Mengye Lyu1,2, Markus Barth3, Victor B. Xie1,2,4, Yilong Liu1,2, Yanqiu Feng1,5, and Ed X. Wu1,2

1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, People's Republic of China, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, People's Republic of China, 3Centre for Advanced Imaging, University of Queensland, Brisbane, Australia, 4Toshiba Medical Systems (China), Beijing, People's Republic of China, 5School of Biomedical Engineering, Southern Medical University, Guangzhou, People's Republic of China

Nyquist ghost is problematic in SMS EPI because the ghost is slice-dependent and can interfere with slice separation process. The inconsistency between positive and negative echoes can be represented by 2D phase error maps. This study presents a new and robust SENSE-based method.  It estimates both phase error maps and coil sensitivities from one plain EPI based calibration scan, and then uses these maps for ghost-free SMS EPI reconstruction. Further, to improve coil sensitivity estimation, virtual coil SAKE is incorporated to reduce the high order Nyquist ghost in the calibration scan.

516
13:57
A Maximum Likelihood Approach to Simultaneous Multislice Magnetic Resonance Fingerprinting
Bo Zhao1,2, Berkin Bilgic1,2, Jason Stockmann1,2, Lawrence L. Wald1,2, and Kawin Setsompop1,2

1Martinos Center for Biomedical Imaging, Chalestown, MA, United States, 2Department of Radiology, Harvard Medical School, Boston, MA, United States

Magnetic resonance fingerprinting is an efficient quantitative MRI paradigm, which simultaneously acquires multiple MR tissue parameters. Recently, simultaneous multislice (SMS) acquisition has been used to further speed up MRF experiments. In this abstract, we present a maximum likelihood formulation to enable improved SMS-MRF reconstruction. We further describe an algorithm based on variable splitting, the alternating direction method of multipliers, and the variable projection method to solve the resulting nonlinear and nonconvex optimization problem. Representative results are shown to demonstrate that the proposed method enables more accurate MR tissue parameter maps compared to the recent SMS-MRF approach utilizing direct pattern matching. 

517
14:09
Simultaneous Multi Slice Imaging using Matrix Gradient Coils
Sebastian Littin1, Kawin Setsompop2, Feng Jia1, Huijun Yu1, Stefan Kroboth1, and Maxim Zaitsev1

1Department of Radiology, Medical Physics, University Medical Center, Freiburg, Germany, 2Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States

Novel SMS techniques become possible by applying specially designed spatial encoding magnetic fields (SEMs) during RF excitation or read out. Two new methods have been implemented using a matrix gradient coil.

518
14:21
Simultaneous Multi-Slice Real-Time Imaging with Radial Multi-Band FLASH and Nonlinear Inverse Reconstruction
Sebastian Rosenzweig1,2, H. Christian M. Holme1,2, Robin N. Wilke1,2, and Martin Uecker1,2

1Institut für Diagnostische und Interventionelle Radiologie Göttingen, University Medical Center Göttingen, Göttingen, Germany, 2Partner site Göttingen, German Centre for Cardiovascular Research (DZHK), Göttingen, Germany

Simultaneous multi-slice (SMS) MRI allows for the acquisition of several slices at the same time. We propose a novel reconstruction technique for radial SMS MRI based on Regularized Nonlinear Inversion (NLINV). This method does not require a priori knowledge of the coil sensitivities. We present the simultaneous estimation of images and coil sensitivities of two slices of a phantom from 10-fold undersampled data. Image quality is analyzed for different sampling schemes and compared to single-slice acquisitions. Clinical relevance is demonstrated by in-vivo imaging of two slices of a human heart in real-time at a time-resolution of 30.8 ms per frame.

519
14:33
Simultaneous Multi-VENC Imaging
Simon Schmidt1, Sebastian Flassbeck1, Mathies Breithaupt1,2, Mark E. Ladd1, and Sebastian Schmitter1,3

1Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany, 2Institute for Forensic Medicine and Traffic Medicine, University Hospital Heidelberg, Heidelberg, Germany, 3Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany

In this work we introduce and investigate the feasibility of "Simultaneous Multi-VENC" (SMV) imaging. This technique is inspired by "spokes" RF pulses used for parallel transmission and by Simultaneous-Multi-Slice (SMS) imaging.  SMV enables encoding of a single 2D plane by two or more 2D phase images with different velocity sensitivities, allowing multiple encoding velocities (VENC). Only a single readout is used to acquire all VENC data, which are separated using a standard SMS slice-GRAPPA algorithm. The feasibly of SMV is demonstrated in a flow phantom and in-vivo for three spokes with two different VENC values.

520
14:45
Simultaneous Multi-Contrast Imaging with Readout-Segmented EPI
Nora-Josefin Breutigam1, Robert Frost2, Klaus Eickel1,3, and David Porter1

1MR Physics, Fraunhofer MEVIS, Bremen, Germany, 2Athinoula A. Martinos Center for Biomedical Imaging, MA, United States, 3mediri GmbH, Heidelberg, Germany

A new method is presented for acquiring multiple image contrasts simultaneously. The technique reduces patient examination times and facilitates accurate image registration between contrasts. This work focuses on a variant of the method, in which readout-segmented EPI (rs-EPI) is used to perform high-quality, navigator-corrected, diffusion-weighted imaging simultaneously with a T2*-weighted acquisition. This combination of contrasts has clinical significance in acute stroke, providing a registered data set for assessing the infarct and possibility of associated hemorrhage. The proposed method modifies the contrast as a function of slice position and uses blipped CAIPIRINHA and slice-GRAPPA to separate the contrasts into individual images.

521
14:57
Fast multi-slice B1 and B0 mapping (B01TIAMO) for 32-channel pTx body MRI at 7 Tesla
Sascha Brunheim1,2, Sören Johst1, Stephan Orzada1, Jose P Marques3, Marcel Gratz1,2, Mark E Ladd1,4, and Harald H Quick1,2

1Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany, 2High Field and Hybrid MR Imaging, University Hospital Essen, Essen, Germany, 3Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands, 4Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany

The aim of this work was to improve the recently developed B1TIAMO method at ultra-high magnetic field for a 32-channel body transceiver array by providing complete information about both the B0 and B1+ distribution within the human abdomen without movement artifacts by breathing. Therefore, a fast multi-slice version including two-echo B0 maps with time interleaved acquisition of modes (B01TIAMO) was introduced. Furthermore, B1+ phase calculation was improved by geometric-decomposition coil compression, resulting in accurate single-channel B1+ and B0 maps for three different slices within only 21s versus the 42s step-by-step measurement for a single slice with normal B1TIAMO.

522
15:09
Simultaneous multislice refocusing by time-optimal control
Armin Rund1,2, Christoph Stefan Aigner3, Karl Kunisch1, and Rudolf Stollberger2,3

1Institute for Mathematics and Scientific Computing, University of Graz, Graz, Austria, 2BioTechMed Graz, Graz, Austria, 3Institute of Medical Engineering, Graz University of Technology, Graz, Austria

We demonstrate the design of minimum duration SMS refocusing pulses and slice selective gradient shapes with specific hardware constraints such as peak B1, peak slew rate and peak amplitude of the slice gradient. The proposed bi-level time-optimal control method works with a detailed description of the slice profile accuracy by inequality constraints, and allows the use of fine spatial and temporal grids. The optimized results are validated on a 3T scanner with phantom and in vivo measurements demonstrating the practical realizability of the presented approach.

523
15:21
Minimum peak power root-flipped gSlider-SMS RF pulses for high-resolution in vivo diffusion imaging
Jun Ma1, Thomas Witzel2, William A Grissom1, and Kawin Setsompop2

1Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States

gSlider is an RF encoding method that increases SNR in high-resolution diffusion imaging, by repeatedly acquiring high-SNR thick-slab images with distinct through-slice RF phase encoding. The method is currently based on linear-phase RF pulses designed using the inverse scattering transform. However, the high peak power of the associated refocusing pulses requires VERSE to meet practical peak RF amplitude constraints. Here we show that the pulses can be equivalently designed using the SLR algorithm, and that the refocusing pulse can be further root-flipped to minimize its peak amplitude and obviate the use of VERSE, while preserving gSlider encoding and linear-phase spin echoes.

524
15:33
3D Multi-band Interleaved DW-EPI with 3D Phase Correction
Hing-Chiu Chang1, Edward S. Hui1,2, Xiaoxi Liu1, and Nan-kuei Chen3,4

1Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, Hong Kong, 2The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, 3Department of Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 4Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, United States

The optimal SNR efficiency of 3D multi-slab multi-shot DWI acquisition can be enabled by using a TR range of 1-2s. However, due to the low feasible slab thickness, the multi-slab acquisition can only achieve limited brain coverage when using a short TR. In this study, we first develop a 3D multi-band (MB) iDW-EPI sequence with MB-EVI-based navigator to increase brain coverage when using optimal TR. Second, we extend 3D-MUSER algorithm, which is proposed in another study, to reconstruct 3D-MB-iDW-EPI data with 3D phase correction. Our preliminary result demonstrates the feasibility of 3D MB DWI with 3D phase correction.


Oral

Myocardial Viability & Perfusion

Room 320 Tuesday 13:45 - 15:45 Moderators: Ganesh Adluru & Leon Axel

525
13:45
3D Whole-Heart Phase Sensitive Inversion Recovery (PSIR) for Simultaneous Bright Blood Coronary Angiography and Black Blood Late Gadolinium Enhancement (LGE)
Giulia Ginami1, Radhouene Neji2, Tevfik Ismail1, Amedeo Chiribiri1, Rene Botnar1, and Claudia Prieto1

1Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom

This study introduces a free-breathing 3D whole-heart sequence with image-based navigation for post-contrast phase sensitive inversion recovery (PSIR) allowing for simultaneous bright-blood coronary angiography and black-blood late gadolinium enhancement (LGE) imaging. Such approach was successfully tested in a cohort of 10 patients with cardiovascular disease. Data acquisition was performed in free-breathing with 100% scan efficiency, thus allowing for predictable scan time. The proposed sequence allowed for LGE visualization with high volumetric coverage and improved contrast (black-blood dataset) while simultaneously providing sharp visualization of the coronary arteries and heart anatomy (bright-blood dataset).

526
13:57
Magnetization Transfer-weighted Cardiac MRI in End Stage Renal Disease Quantifies Fibrosis and Identifies Biochemical Markers of Fibrosis without Gadolinium
Tori Stromp1,2, Rebecca M Kidney2, Tyler J Spear2, Kristin N Andres3, Joshua C Kaine3, Steve W Leung4, and Moriel H Vandsburger1,2,5,6

1Physiology, University of Kentucky, Lexington, KY, United States, 2Cardiovascular Research Center, University of Kentucky, Lexington, KY, United States, 3College of Medicine, University of Kentucky, KY, United States, 4Gill Heart Institute, University of Kentucky, KY, United States, 5Biomedical Engineering, University of Kentucky, KY, United States, 6Bioengineering, University of California Berkeley, Berkeley, CA

Cardiac fibrosis is prevalent in end stage renal disease (ESRD). Contraindication to late gadolinium enhancement (LGE) cardiac MRI (CMR) obstructs diagnosis, treatment selection, and potential therapeutic target identification. Currently, ventricular hypertrophy and function are used as surrogate measures of fibrosis and correlates of biomarkers. We used magnetization transfer (MT) weighted CMR to quantify fibrosis, comparing to structure, function, and blood biomarkers. We recapitulated prevalent fibrosis found previously by LGE. Results suggest hypertrophy or strains may be inappropriate fibrosis measures in ESRD. Extracellular matrix turnover markers, e.g. TIMPs, may represent more specific biomarkers of fibrosis and molecular targets for therapeutics development.

527
14:09
Free-breathing 3D whole-heart stress myocardial perfusion using compressed sensing
Merlin J Fair1,2, Eliana Reyes1, Peter D Gatehouse1,2, Ganesh Adluru3, Jason Mendes3, Ricardo Wage1, Edward VR DiBella3, and David N Firmin1,2

1CBRU, Royal Brompton Hospital, London, United Kingdom, 2NHLI, Imperial College London, London, United Kingdom, 3UCAIR, University of Utah, UT, United States

A consistent, reliable, 3D myocardial first-pass perfusion sequence is developed using a stack-of-stars design and tested at both stress and rest during free-breathing. A compressed sensing algorithm is used to compensate for the high undersampling rates, including a modified form with temporal pixel reordering designed to better cope with respiratory motion. Reconstructions were successful, despite large respiratory motion, in all cases. An example of a perfusion defect in a coronary artery disease patient is presented, with confirmation from recent SPECT myocardial perfusion scintigraphy.

528
14:21
Clinical Evaluation of Whole-Heart Quantitative Adenosine Stress CMR with Motion-compensated L1-SPIRIT
Michael Salerno1, Yang Yang1, Stephen McHugh1, Eric Holland1, Jonathan Pan2, Craig H Meyer2, Angela Taylor1, and Christopher M Kramer3

1Department of Medicine, University of Virginia, Charlottesville, VA, United States, 2Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 3Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, United States

Adenosine stress CMR has potential advantages over competing modalities for diagnosing coronary artery disease (CAD) including the ability to quantify myocardial perfusion, however current CMR techniques have limited spatial coverage.  We perform a clinical assessment of the diagnostic performance of whole-heart spiral perfusion imaging using motion compensated compressed sensing for detection of CAD and demonstrate good image quality, minimal motion artifacts, and high diagnostic accuracy for both visual and quantitative evaluation.


529
14:33
Coronary Relaxation Mapping for Multi-fold Amplification in Myocardial BOLD Sensitivity
Hsin-Jung yang1, Damini Dey1, Behzad Sharif1, Jane Sykes2, John Butler2, Ivan Cokic1, Sotirios Tsaftaris3, Piotr Slomka1, Frank Prato2, and Rohan Dharmakumar1

1Cedars Sinai Medical Center, Los Angeles, CA, United States, 2Lawson Health Research Institute, 3IMT School for Advanced Studies Lucca

Over the past two decades cardiac BOLD MRI has seen major technical advances. However, its reliability for detecting ischemic heart disease remains poor. We hypothesized that the reliability of cardiac BOLD MRI can be improved by repeatedly acquiring BOLD images following regadenoson injection. We found that repeatedly acquired myocardial BOLD imaging following regadenoson administration can be used to significantly amplify the BOLD sensitivity and improve the reliability of myocardial BOLD MRI in health and disease.

530
14:45
Quantification of Perfusion in Hypertrophic Cardiomyopathy using 3D Contrast Agent Flow Simulation
Leili Riazy1, Marc Olbrich2, Tobias Schaeffter3, Simone Fritschi4,5, Thoralf Niendorf1, and Jeanette Schulz-Menger4,5

1Berlin Ultrahigh Field Facility (B.U.F.F.), Max-Delbrueck Center for Molecular Medicine, Berlin, Germany, 2Technical University Berlin, Berlin, Germany, 3Medical Physics and Metrological Information Technology, Physikalisch-Technische Bundesanstalt, Berlin, Germany, 4Working Group on Cardiovascular Magnetic Resonance, Experimental and Clinical Research Center (ECRC), Berlin, Germany, 5Department of Cardiology and Nephrology, HELIOS Klinikum Berlin Buch, Berlin, Germany

Hypertrophic Cardiomyopathy (HCM) is a common cause of sudden heart death in young adults. MRI is a powerful tool for the diagnosis and surveillance of this myocardial morphology as well as tissue injury. In clinical routine the assessment is mainly based on visual assessment or semi-quantification is increasingly used.  Quantification of perfusion defect should be nowadays assessed with computational tools. We aim at quantifying differences in perfusion with a computational flow model that incorporates the vascular, as well as extracellular compartment, using the Damköhler Number $$$Da$$$. Areas of different perfusion in N=5 patients with HCM were fitted in $$$Da$$$ with model-derived curves with an overall error of 10.48%.

531
14:57
Intravoxel Incoherent Motion Model in the Heart of Patients under Adenosine Induced Stress
Georg Spinner1, Constantin von Deuster1, Sabrina Oebel2, Christian Torben Stoeck1, Robert Manka2, and Sebastian Kozerke1

1Institute for Biomedical Engineering, ETH Zürich, Zürich, Switzerland, 2Cardiology, University Hospital Zürich

Intravoxel Incoherent Motion Imaging (IVIM) in the in vivo human heart has the potential of measuring myocardial perfusion without the need for contrast agents. In order to validate previous IVIM animal studies, patients where measured both during rest and under adenosine induced stress using a slice following second-order motion compensated diffusion weighted imaging sequence. The IVIM perfusion fraction is found to significantly increase during stress, which shows that IVIM imaging allows measuring a perfusion surrogate. This can hence be used for example to assess perfusion deficits in patients with ischemia.


532
15:09
Combined Late Gadolinium Enhancement (LGE) and 18F-fluorodeoxyglucose (18F-FDG) Uptake in a Hybrid PET/MR System to Diagnose Active Cardiac Sarcoidosis
Philip M Robson1, Maria Giovanna Trivieri2, Ronan Abgral3, Marc R Dweck4, Nicolas A Karakatsanis1, Venkatesh Mani1, Maria M Padilla5, Marc M Miller6, Anarahda Lala6, Javier Sanz6, Jagat Narula6, Valentin Fuster6, Johanna Contreras6, Jason Kovacic6, and Zahi A Fayad1

1Translational and Molecular Imaging Institute, icahn school of medicine at mount sinai, New York, NY, United States, 2icahn school of medicine at mount sinai, New York, NY, United States, 3Department of Nuclear Medicine, European University of Brittany, 4British Heart Foundation/University Centre for Cardiovascular Science, University of Edinburgh, 5Division of Pulmonary, Critical Care and Sleep Medicine, icahn school of medicine at mount sinai, New York, NY, United States, 6Cardiovascular Institute, icahn school of medicine at mount sinai, New York, NY, United States

Recent advances in hybrid Positron Emission Tomography (PET) Magnetic Resonance (MR) technology have enabled simultaneous imaging with both modalities.  Sarcoidosis is a granulomatous disease that, when involving the heart has a poor prognosis.  However, cardiac sarcoidosis has been shown to respond to immunosuppressive therapy.  Currently, both late gadolinium enhancement (LGE)-MR and 18F-fluorodeoxyglucose (18F-FDG)-PET are used separately to evaluate the disease yet a clear diagnosis is not easily achieved.  In this work, we investigate the potential improvement in evaluation with combined 18F-FDG-PET/MR imaging.

533
15:21
Microvascular tissue characterization with cardiac PET/MRI: Quantitative comparison of myocardial DCE-MRI perfusion flow with 18F-FDG viability PET and coronary angiography
Karl P Kunze1, Teresa Vitadello2, Christoph Rischpler1, Markus Schwaiger1, and Stephan G Nekolla1

1Nuclear Medicine, TU Munich, Munich, Germany, 2Cardiology, TU Munich, Munich, Germany

This cardiac multimodality study combines the use of metabolic 18F-FDG PET imaging with coronary angiography as well as DCE-MR perfusion imaging to investigate the relationship of myocardial metabolism and perfusion in chronic ischemia. A patient group with chronic total occlusion received exams pre- (PET/MRI+Angiography) as well as post- (MRI+Angiography) coronary intervention. Results showed a range of subtle to heavy resting perfusion deficits, with variable intra-patient relationships to metabolic deficits as indicated by 18F-FDG PET. Comparison of coronary angiography results with the corresponding quantitative perfusion analysis pre- and post-intervention suggest that resting perfusion is more sensitive to micro- than macrovascular coronary integrity.

534
15:33
Correlations and differences of myocardial blood flow with simultaneous measurements of MRI and PET
Masoud Edalati1, David Muccigrosso1, Richard Laforest1, Pamela K Woodard1, and Jie Zheng1

1Department of Radiology, Mallinckrodt Institute of Radiology, Washington University in St. Louis, Saint Louis, MO, United States

The presented study explores correlations and differences of myocardial blood flow measured with MRI and PET. We employed a post-processing method to estimate the arterial input function using gamma variate model. Rest/stress quantitative PET/MRI cardiac perfusion study were simultaneously performed on sixteen patients with myocardial ischemia. The results demonstrated the feasibility of the new AIF estimation method for the quantification of MBF by MRI without using special sequences or dual bolus injections of contrast media. Statistical analysis between PET and MRI data demonstrated good correlation with a linear trend and error ranges comparable to those previously reported in the literature.


Combined Educational & Scientific Session

Spinning Off Axis

Organizers: Jenny T. Bencardino, M.D., Emily McWalter, Ph.D, Edwin H.G. Oei, M.D., Ph.D., & Philip Robinson,M.D.

Room 315 Tuesday 13:45 - 15:45 Moderators: Christopher Burke & L. Tugan Muftuler

13:45
Update on MRI Degenerative Disc Disease: Beyond Modic Changes
Jason F Talbott1

1Radiology, Zuckerberg San Francisco General Hospital, Novato, CA, United States


14:15
What's new on Spine Imaging: Beyond Degenerative Disc Disease
Elisabeth Garwood1

1New York


535
14:45
pH Measurement of Intervertebral Disc in the Process of Disc Degeneration Using Quantitative Chemical Exchange Saturation Transfer (qCEST)
Zhengwei Zhou1,2, Maxim Bez3, Wafa Tawackoli1,4,5, Dmitriy Sheyn4,5, Joseph C. Giaconi6, Zulma Gazit3,4,5,7, Gadi Pelled1,3,4,5, Dan Gazit1,3,4,5,7, and Debiao Li1,2

1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Bioengineering, University of California, Los Angeles, 3Skeletal Biotech Laboratory, Hebrew University of Jerusalem, Israel, 4BOG Regenerative Medicine Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 5Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 6Department of Imaging, Cedars-Sinai Medical Center, CA, United States, 7Department of Orthopedics, Cedars-Sinai Medical Center, Los Angeles, CA, United States

Several hypotheses associate the pathogenesis of discogenic low back pain with low pH. In this study, we used qCEST MRI technique to monitor the pH changes of the intervertebral disc in the process of degeneration in porcine model. A significant pH drop was observed at 2 weeks following degeneration induction. This trend is correlated with the expression of pain markers. These results suggest that qCEST MRI has the potential to serve as a novel and non-invasive method for the diagnosis of discogenic pain.

536
14:57
Feasibility study of intervertebral disc degeneration assessment using phase imaging
Yoonho Nam1, Joonsung Lee2, Eo-Jin Hwang1, and Joon-Yong Jung1

1Department of Radiology, Seoul St.Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea, Republic of, 2Center for neuroscience imaging research, Institute for Basic Science, Suwon, Korea, Republic of

In this study, we hypothesized that a GRE phase can be a potential indicator of annulus fibrosus integrity, because of its high sensitivity to micro-structural tissue change. With this hypothesis, we investigate the feasibility of GRE phase in the assessment of intervertebral disc degeneration in the lumbar spine. Ex vivo animal disk samples and nine human subjects were scanned and the high-pass filtered phase images were evaluated. For both ex vivo and in vivo experiments, distinctive phase contrasts were observed in the annulus fibrosus of the normal intervertebral discs.

537
15:09
Detection of Internal Tissue Disruptions within the Intervertebral Disc via Magnetic Resonance Elastography: A Feasibility Study
Benjamin A Walter1,2, Prasath Mageswaran1,3, Elizabeth Yu1,4, Safdar Khan1,4, William S Marras1,3, and Arunark Kolipaka1,5

1Spine Research Institute, The Ohio State University, Columbus, OH, United States, 2Department of Biomedical Engineering, The Ohio State University, Columbus, OH, United States, 3Department of Integrated Systems Engineering, The Ohio State University, Columbus, OH, United States, 4Department of Orthopaedics, The Ohio State University Wexner Medical Center, Columbus, OH, United States, 5Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH, United States

Magnetic resonance elastography (MRE) was used to non-invasively assess regions of internal tissue disruption within intervertebral discs (IVD) that were known to contain tissue damage. Internal tissue disruptions were assessed via measurements of wave continuity as they propagated throughout the IVD.  Results demonstrated that injured IVD’s had an elevated octahedral shear strain (OSS) compared to non-operated control IVDs and OSS maps allowed visualization of potential location of internal tissue disruptions. Overall, results of this study suggest that MRE may provide a non-invasive way of identifying internal tissue disruptions within the IVD.  

538
15:21
Clinical utility of a novel ultrafast T2 Weighted sequence for Spine Imaging
Mahesh Bharath Keerthivasan1, Ali Bilgin1,2, Diego R Martin2, Jennifer L Becker2, Maria Altbach2, and Manojkumar Saranathan2

1Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States, 2Medical Imaging, University of Arizona, Tucson, AZ, United States

T2 weighted imaging of the spine is commonly performed using Turbo Spin Echo (TSE) sequences, resulting in long scan times and vulnerability to motion artifacts. While the single-shot sequences such as HASTE could be used for rapid screening, their use is limited by poor spatial resolution and SAR limitations. We investigated the use of a variable flip angle HASTE (HASTE-VFA) sequence for ultrafast motion robust T2 weighted spine imaging and compared its performance to T2 TSE in 13 patients.

539
15:33
Feasibility of Synthetic MRI of the spine – fast and quantitative imaging
Maria Isabel Vargas1, Bénédicte MA Delattre1, José Manuel Baiao Boto1, Karl-Olof Lövblad1, and Sana Boudabbous1

1Geneva University Hospitals, Geneva, Switzerland

Synthetic MRI was already validated in some cerebral applications. We adapted it to evaluate the spine and showed that it produces, in general, good image quality and diagnostic confidence. Efforts will still have to be made to increase image quality in the dorso-lumbar spine. However, the non-negligible time saving and the ability to obtain quantitative measurements as well as to generate several contrasts with a single acquisition should secure an interesting and useful future for synthetic MRI in clinical routine.


Traditional Poster: Contrast Mechanisms

Exhibition Hall 1877-1898 Tuesday 16:15 - 18:15 (no CME credit)

Electronic Poster: Engineering

Exhibition Hall Tuesday 16:15 - 17:15 (no CME credit)

Electronic Poster: General Cancer Imaging

Exhibition Hall Tuesday 16:15 - 17:15 (no CME credit)

Study Groups

MR Spectroscopy Study Group

Room 323ABC Tuesday 16:15 - 18:15 (no CME credit)


Study Groups

Pediatric MR Study Group

Room 317AB Tuesday 16:15 - 18:15 (no CME credit)


Educational Course

Liver MR Imaging: Quantitative Approaches to Liver Disease

Organizers: Kathryn Fowler, M.D., Kartik Jhaveri, M.D., F.R.C.P.C., Lorenzo Mannelli, M.D., Ph.D. & Edwin J.R. van Beek, M.D., Ph.D., M.Ed., FRCR

Room 315 Tuesday 16:15 - 18:15 Moderators: Rebecca Rakow-Penner & Bachir Taouli

16:15
The Hepatologist's Perspective of MRI in the Management of Liver Diseases
Yuko Kono

Cirrhosis and hepatocellular carcinoma (HCC) are major health problems world-wide and in the United States. It is estimated 10 to 20 million American people have non-alcoholic steatohepatitis (NASH), which can lead to cirrhosis. HCC is the second cause of cancer death world-wide, and the fastest growing cause of cancer death in the United States. MRI can provide information such as fat quantification, iron quantification in the liver, as well as liver stiffness estimation by MR elastography. Early and accurate diagnosis of HCC is critical for improved outcome of this deadly disease. Non-invasive diagnosis of chronic liver diseases and HCC are indispensable in hepatology practice. Current epidemiology of liver disease and how MRI can help liver patients’ management will be discussed. 

16:45
Liver Fibrosis
Richard Ehman

This presentations reviews the rationale, principles, and practical application of MRI-based methods for diagnosing hepatic fibrosis.  MR elastography is addressed in detail.

17:15
Iron Overload
Takeshi Yokoo


17:45
Hepatic Steatosis
Claude Sirlin1

1University of California, San Diego


18:15
Adjournment & Meet the Teachers


Educational Course

Sports Related Injuries

Organizers: Jenny T. Bencardino, M.D., Eric Y. Chang, M.D., Christine Chung, M.D. & Philip Robinson, M.D.

Room 316A Tuesday 16:15 - 18:15 Moderators: Hollis Potter & Ashley Williams

16:15
Gym Craze
Alice Ha1

1University of Washington


16:45
Racquet Sports
Gajan Rajeswaran


17:15
Soccer & Rugby
Mark Schweitzer


17:45
Track & Field
Catherine N. Petchprapa1

1New York University School of Medicine, New York, NY, United States

Recreational and competitive running is increasing in popularity worldwide and in all age groups, and running injuries are becoming more prevalent.  Symptoms and clinical exam can be nonspecific and suggest a wide differential diagnosis.    Imaging, especially MR, can help diagnose injury, determine the location, severity and extent of injury thereby providing prognostic information, exclude diagnoses, and help direct the type and timing of treatment, making it invaluable in the workup of the injured athlete.   This session will help familiarize the participant of the common lower extremity injuries, relevant anatomy and pathogenesis of injury in track and field athletes and the MR imaging findings seen in these patients.   

18:15
Adjournment & Meet the Teachers


Power Pitch

Pitch: Best of Cardiovascular MR: Myocardial Tissue Characterization

Power Pitch Theater A - Exhibition Hall Tuesday 16:15 - 17:15 Moderators: Fred Epstein & Tobias Wech (no CME credit)

540
16:15
Three-dimensional holographic visualization of high-resolution myocardial scar on HoloLens
Jihye Jang1,2, Gifty Addae1, Warren Manning1,3, and Reza Nezafat1

1Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States, 2Department of Computer Science, Technical University of Munich, Munich, Germany, 3Department of Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States

541
16:15
Inducibility of ventricular arrhythmia correlates with the indices of myocardial viability using manganese enhanced MRI (MEMRI) in a porcine ischemia reperfusion model
Atsushi Tachibana1,2,3, Junaid Zaman1, Yuko Tada1, Michelle R. Santoso1, and Phillip C. Yang1

1Cardiovascular Medicine, Stanford University, Stanford, CA, United States, 2Radiology, AIC Yaesu Clinic, Tokyo, Japan, 3Graduate School of Human Health Sciences, Tokyo Metropolitan University, Tokyo, Japan

542
16:15
In Vivo Hyperpolarized MRS Study Showing Improved Cardiac Metabolism in Type 1 Diabetes with Daily L-Carnitine Treatment.
Dragana Savic1, Kerstin N. Timm, Vicky Ball, Lisa Heather, and Damian J. Tyler

1University of Oxford, Oxford, United Kingdom

543
16:15
Integrated T2 preparation and Inversion Recovery pulse (T2IR) for combined myocardium T1 and T2 mapping
Rui Guo1, Zhensen Chen1, Jianwen Luo1, and Haiyan Ding1

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, People's Republic of China

544
16:15
Non-contrast assessment of vasodilator response using native myocardial T1 and T2 mapping and Arterial Spin Labeled CMR
Nilesh R Ghugre1,2,3, Hung P Do4, Kenneth Chu3, Venkat Ramanan1, Krishna S Nayak5, and Graham A Wright1,2,3

1Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada, 2Schulich Heart Program, Sunnybrook Research Institute, Toronto, ON, Canada, 3Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 4Department of Physics and Astronomy, University of Southern California, Los Angeles, CA, United States, 5Ming Hsieh Department of Electrical Engineering, University of Southern California, Los Angeles, CA, United States

545
16:15
Dictionary-based Reconstruction for Free-Breathing Myocardial T1 Mapping
Jinkyu Kang1,2, Jihye Jang1, Vahid Tarokh2, and Reza Nezafat1

1Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States, 2School of Engineering and Applied Science, Havard University, Cambridge, MA, United States

546
16:15
Validation of Cardiac Diffusion Tensor MRI using Transparent Tissue Preparation (CLARITY) with 3D Optical Microscopy
Christopher Nguyen1, Sang-Eun Lee2, Jongjin Yoon3, Hyuk-Jae Chang2, Sekeun Kim2, Chul Hoon Kim3, and Debiao Li1,4

1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Division of Cardiology, Yonsei University College of Medicine, Seoul, Korea, Republic of, 3Departement of Pharmacology, Yonsei University College of Medicine, Seoul, Korea, Republic of, 4Bioengineering, University of California Los Angeles, Los Angeles, CA, United States

547
16:15
Free-breathing Black-blood Prepared Cardiac Diffusion Tensor Imaging
Constantin von Deuster1, Georg Spinner1, Robbert van Gorkum 1, Christian T. Stoeck1, and Sebastian Kozerke1

1Institute for Biomedical Engineering, ETH and University Zurich, Zurich, Switzerland

548
16:15
First-Pass Nitroxide-Enhanced MRI for Imaging Myocardial Perfusion without Gadolinium
Sophia Xinyuan Cui1 and Frederick H. Epstein1,2

1Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2Radiology, University of Virginia, Charlottesville, VA, United States

549
16:15
Cardiac fMRI - A Novel Approach for Reliably Detecting Myocardial Oxygenation Changes with Precise Modulation of Arterial CO2
Hsin-Jung yang1, Ilkay Oksuz2, Michael Klein3, Olivia Sobczyk3, Damini Dey1, Jane Sykes4, John Butler4, Xiaoming Bi5, Behzad Sharif1, Ivan Cokic1, Debiao Li1, Piotr Slomka1, Frank S Prato4, Joseph Fisher3, Sotirios Tsaftaris2, and Rohan Dharmakumar1

1Cedars Sinai Medical Center, Los Angeles, CA, United States, 2IMT School for Advanced Studies Lucca, 3University of Toronto, 4Lawson Health Research Institute, 5Siemens Healthcare

550
16:15
High-fat diet feeding in mice may partially protect the heart from pressure overload induced heart failure - a longitudinal study of cardiac metabolism and function
Emmy Manders1, Desiree Abdurrachim1, Miranda Nabben2, Klaas Nicolay1, and Jeanine J Prompers1,3

1Department of Biomedical Engineering, Biomedical NMR, Eindhoven University of Technology, Eindhoven, Netherlands, 2Department of Genetics and Cell Biology, CARIM school for cardiovascular diseases, Maastricht University, Netherlands, 3Department of Radiology, University Medical Center, Utrecht, Netherlands

551
16:15
Cardiac Magnetic Resonance Elastography for Quantitative Assessment of Elevated Myocardial Stiffness in Cardiac Amyloidosis
Arvin Arani1, Shivaram P. Arunachalam1, Ian CY Chang2, Francis Baffour1, Kevin J Glaser1, Joshua D Trzasko1, Kiaran McGee1, Armando Manduca1, Martha Grogan2, Angela Dispenzieri3,4, Richard L Ehman1, and Philip A Araoz1

1Radiology, Mayo Clinic, Rochester, MN, United States, 2Cardiovascular Diseases, Mayo Clinic, Rochester, MN, United States, 3Medicine: Division of Hematology, Mayo Clinic, Rochester, MN, United States, 4Laboratory Medicine and Pathology, Mayo Clinic

552
16:15
Ungated myocardial perfusion imaging with complete left ventricular coverage using radial simultaneous multi-slice imaging
Ganesh Adluru1, Jason Mendes1, Ye Tian1, Brent Wilson2, and Edward DiBella1

1Radiology and Imaging Sciences, University of Utah, Salt lake city, UT, United States, 2Cardiology, University of Utah, Salt lake city, UT, United States

553
16:15
As Easy as Echo: Interactive Fetal Cardiac MR Imaging
Davide Piccini1,2,3, Jérôme Yerly2,4, Jérôme Chaptinel2, Milan Prsa5, Yvan Mivelaz5, Leonor Alamo2, Yvan Vial6, Gregoire Berchier2, Chantal Rohner2, Peter Speier7, Tobias Kober1,2,3, and Matthias Stuber2,4

1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 2Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 3LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 5Department of Pediatrics, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 6Department of Gynecology-Obstetrics, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 7Magnetic Resonance, Siemens Healthcare GmbH, Erlangen, Germany

554
16:15
Low Rank Compressed Sensing Reconstruction for More Precise Cardiac MRF Measurements
Jesse Ian Hamilton1, Yun Jiang1, Dan Ma2, Yong Chen2, Shivani Pawha2, Wei-Ching Lo1, Joshua Batesole2, Mark Griswold1,2, and Nicole Seiberlich1

1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Radiology, University Hospitals, Cleveland, OH, United States


Power Pitch

Pitch: New Molecular & Metabolic Imaging Approaches

Power Pitch Theater B - Exhibition Hall Tuesday 16:15 - 17:15 Moderators: Leo Cheng & Anke Henning (no CME credit)

555
16:15
Dynamic Hyperpolarized 13C Metabolic Imaging of Patients with Brain Tumors
Ilwoo Park1, Peder EZ Larson1, Jeremy Gordon1, Lucas Carvajal1, Hsin-Yu Chen1, Mark VanCriekinge1, Robert Bok1, Jason C Crane1, Adam Elkhaled1, Joanna Phillips2, James B Slater1, Marcus Ferrone3, John Kurhanewicz1, Dan Vigneron1, Susan Chang2, and Sarah J Nelson1

1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Neurological Surgery, University of California San Francisco, San Francisco, CA, United States, 3Department of Clinical Pharmacy, University of California San Francisco, San Francisco, CA, United States

556
16:15
Hyperpolarized 13C MRS of the Human Heart
Albert P. Chen1, Justin Y.C. Lau2,3, Benjamin J. Geraghty2,3, William J. Perks4, Idan Roifman5, Graham A. Wright2,3,5, Kim A. Connelly6, and Charles H. Cunningham2,3

1GE Healthcare, Toronto, ON, Canada, 2Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 3Medical Biophysics, University of Toronto, Toronto, ON, Canada, 4Pharmacy, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 5Schulich Heart Program, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 6Cardiology, St. Michael’s Hospital, Toronto, ON, Canada

557
16:15
In vivo metabolic imaging of neuroinflammation following traumatic brain injury using hyperpolarized [1-13C] pyruvate
Caroline Guglielmetti1,2, Austin Chou1,2, Karen Krukowski1,2, Maria Serena Paladini1,2, Lara-Kirstie Riparip1,2, Susanna Rosi1,2,3, and Myriam Chaumeil2,4

1Brain and Spinal Injury Center, University of California San Francisco, San Francisco, CA, United States, 2Department of Physical Therapy and Rehabilitation Science, University of California San Francisco, San Francisco, CA, United States, 3Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, United States, 4Surbeck Laboratory of Advanced Imaging, Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States

558
16:15
Toward Dynamic 3D Cardiac Perfusion Imaging Using bSSFP and Hyperpolarized tert-Butanol
Timothy Pagliaro1, Gopal Varma1, Li Zhao1, David C Alsop1, and Aaron K Grant1

1Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, United States

559
16:15
Detection of Bacteria-specific metabolism using hyperpolarized 13C pyruvate
Renuka Sriram1, Jinny Sun1, Javier Villanueva-Meyer1, Justin DesLos Santos1, Christopher Mutch1, Oren Rosenberg2, Mark Van Criekinge1, John Kurhanewicz1, David Wilson1, and Michael Ohliger1

1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States, 2Department of Infectious Diseases, University of California San Francisco, San Francisco, CA, United States

560
16:15
In vivo pH imaging using hyperpolarized 13C-labelled zymonic acid
Stephan Duewel1,2,3, Christian Hundshammer1,2, Malte Gersch4, Benedikt Feuerecker1, Axel Haase3, Steffen J Glaser2, Markus Schwaiger1, and Franz Schilling1

1Department of Nuclear Medicine, Technical University of Munich, Munich, Germany, 2Department of Chemistry, Technical University of Munich, Garching, Germany, 3Institute of Medical Engineering, Technical University of Munich, Garching, Germany, 4Medical Research Council Laboratory of Molecular Biology, Cambridge, United Kingdom

561
16:15
A new method for measuring T$$$_{1\rho}$$$ of hyperpolarized radioactive isotopes using gamma rays
Yuan Zheng1,2, Gordon D. Cates1, William A. Tobias1, and G. Wilson Miller3

1Department of Physics, University of Virginia, Charlottesville, VA, United States, 2UIH America, Houston, TX, United States, 3Radiology and Medical Imaging, University of Virginia, Charlottesville, VA, United States

562
16:15
Occupational Manganese Exposure: Reversibility of Increased GABA Levels and Brain Mn Accumulation
David A. Edmondson1, Ruoyun Ma1, Chien-Lin Yeh1, S. Elizabeth Zauber2, Sandy Snyder1, Eric Ward1, and Ulrike Dydak1

1School of Health Sciences, Purdue University, West Lafayette, IN, United States, 2Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, United States

563
16:15
CM101: an optimized MR probe targeting type I collagen for detection of liver fibrosis
Christian T. Farrar1, Richard Kennan2, Eric Gale1, Ian Ramsay1,3, Ricard Masia4, Gunisha Arora5, Kailyn Looby5, Lan Wei5, Michelle Bunzel2, Chunlian Zhang2, Yonghua Zhu2, Taro Akiyama2, Michael Klimas2, Shirly Pinto2, Himashinie Diyabalanage3, Valerie Humblet3, Bryan C. Fuchs5, and Peter Caravan1

1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 2Merck Research Laboratories, Kenilworth, NJ, United States, 3Collagen Medical, Belmont, MA, United States, 4Pathology, Massachusetts General Hospital, Boston, MA, 5Surgical Oncology, Massachusetts General Hospital, Boston, MA, United States

564
16:15
A High Throughput, MEMRI-Based Imaging Pipeline to Study Mouse Models of Sporadic Human Cancer
Harikrishna Rallapalli1,2, I-Li Tan3, Alexandre Wojcinski3, Alexandra L Joyner3, and Daniel H Turnbull1,2

1Kimmel Center for Biology and Medicine at the Skirball Institute of Biomolecular Medicine, New York University School of Medicine, New York, NY, United States, 2Biomedical Imaging Graduate Program and Department of Radiology, New York University School of Medicine, New York, NY, United States, 3Developmental Biology, Sloan Kettering Institute, New York, NY, United States

565
16:15
In vivo quantification of IONP-labeled PAR T-cells using positive contrast MRI
Jinjin Zhang1, Sidath C Kumarapperuma2, Qi Shao3, Lakmal Kotelawala2, John C Bischof3, Carston R Wagner2, and Michael Garwood1

1Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN, United States, 2Department of Medicinal Chemistry, University of Minnesota, Minneapolis, MN, United States, 3Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN, United States

566
16:15
A Unique ´Cargo Internalization Receptor (CIR)´ System for In Vivo Tracking of Individual Cell Populations by 19F MRI
Pascal Bouvain1, Paul Baran2, Tuba Güden-Silber1, Sebastian Temme1, Jens Moll2, Doreen Floss2, Christoph Grapentin3, Jürgen Scheller2, and Ulrich Flögel1

1Molecular Cardiology, Heinrich-Heine University, Düsseldorf, Germany, 2Biochemistry and Molecular Biology II, Heinrich-Heine University, Germany, 3Pharmaceutical Technology and Biopharmacy, Albert-Ludwigs-University

567
16:15
Characterization of Gd-DOTA-APC, a novel cancer-targeting MRI contrast agent
Christina Brunnquell1, Ray Zhang2, Benjamin Cox1,3, Anatoly Pinchuk2, Alan McMillan2, and Jamey Weichert2

1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Radiology, University of Wisconsin-Madison, Madison, WI, United States, 3Medical Engineering Group, Morgridge Institute for Research, Madison, WI, United States

568
16:15
CMRO2 Quantification in Human Brain with Direct 17O-MRI: Profile Likelihood Analysis for Optimization of Temporal Resolution
Dmitry Kurzhunov1, Robert Borowiak1,2,3, Ali Caglar Özen1, and Michael Bock1

1Dept. of Radiology, Medical Physics, Medical Center – University of Freiburg, Freiburg, Germany, 2German Cancer Consortium (DKTK), Heidelberg, Germany, 3German Cancer Research Center (DKFZ), Heidelberg, Germany

569
16:15
Region-Specific Effects of AMP-Activated Protein Kinase on the Neurochemical Profiles of the Hippocampus and Midbrain in Mice
Ivan Tkac1, Biplab Dasgupta2, and Raghavendra Rao3

1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 2Division of Oncology, Cincinnatio Children’s Hospital Medical Center, Cincinnati, OH, United States, 3Department of Pediatrics, Division of Neonatology, University of Minnesota, Minneapolis, MN, United States


Oral

Artifacts & Corrections

Room 310 Tuesday 16:15 - 18:15 Moderators: Brian Hargreaves & Tolga Cukur

570
16:15
A Fourier Approach to bSSFP Debanding with 3 Phase-Cycled Acquisitions
Qing-San Xiang1

1Radiology, University of British Columbia, Vancouver, BC, Canada

The highly efficient balanced Steady-State Free Precession (bSSFP) sequence has many research and clinical applications.  However, it has a peculiar sensitivity to magnetic field inhomogeneity, often resulting in artifacts seen as dark bands. Phase-cycling can generate multiple acquisitions in which the banding is spatially shifted, and subsequently reduced by various algorithms. With 4 acquisitions and an elliptical signal model, it is possible to eliminate the banding by solving the system geometrically, algebraically, or in a combined manner for improved SNR.   This work reports a Fourier approach that can effectively reduce the banding using only 3 acquisitions.

571
16:27
Parameter-Free Profile Encoding Reconstruction for Multiple-Acquisition bSSFP Imaging
Efe Ilicak1,2 and Tolga Çukur1,2,3

1Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey, 3Graduate School of Engineering and Science, Bilkent University, Neuroscience Program, Ankara, Turkey

Several recent studies suggested accelerating multiple-acquisition balanced steady-state free precession acquisitions to suppress banding artifacts while maintaining scan efficiency. However, these approaches employ regularization terms, which require labor-intensive manual tuning of penalty weights. Here, we propose a parameter-free framework to select penalty weights adaptively for profile-encoding reconstructions. Results indicate the proposed method achieves equivalent image quality to conventional reconstructions, without an exhaustive manual tuning of penalty weights. 

572
16:39
Mitigation of bSSFP Flow Artifacts using Partial Dephasing
Anjali Datta1, Joseph Y Cheng2, Corey A Baron1, and Dwight G Nishimura1

1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States

We show that partial dephasing mitigates artifacts from through-plane flow near dark bands in balanced SSFP.  A 30o-60o range in the phase accrual during a TR is created over the voxel by slightly unbalancing the slice-select rephaser.  The effects of partial dephasing on the spectral profiles for various flow rates were simulated, and the simulations were validated in a flow phantom. By decreasing the strength and non-linearity of the signal’s dependence on through-plane flow rate, partial dephasing mitigates the transient artifacts caused by pulsatile flow.  In volunteer studies, it noticeably decreased artifacts in all of the phase-cycled cardiac cine datasets acquired.

573
16:51
Correction of Susceptibility-Related Image Distortion Based on an Analytic Point-Spread Function
Franz Patzig1, Toralf Mildner1, and Harald Möller1

1Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

Geometric distortions caused by magnetic susceptibility variations in the underlying medium can severely corrupt the image. A novel correction method is proposed, which uses the prior knowledge of the analytic point spread function (PSF) of the used imaging sequence and a map of the underlying field inhomogeneities. From this input, a PSF operator can be devised and applied to correct the image by performing a deconvolution. Regularization techniques are used to improve and stabilize the outcome. A significant reduction in geometric distortions is demonstrated for human brain images as well as some advantages over existing correction methods.

574
17:03
Pile-up and Ripple Artifact Correction Near Metallic Implants by Alternating Gradients
Xinwei Shi1,2, Brady Quist1,2, and Brian A. Hargreaves1,2

1Radiology, Stanford University, Stanford, CA, United States, 2Electrical Engineering, Stanford University, Stanford, CA, United States

Multi-Spectral Imaging techniques have been shown to significantly reduce metal-induced artifacts. However, they often suffer from residual pile-up and ripple artifacts in the vicinity of metal, where the metal-induced off-resonance gradient “cancels” the frequency-encoding gradient. Fully phase-encoded methods can overcome the drawbacks of frequency encoding, but usually incur prohibitively long scan times. Here we address this limitation by combining two acquisitions with alternating-sign readout and slice-select gradients. We demonstrate with simulations, phantom and in-vivo scans that the proposed method can effectively suppress pile-up and ripple artifacts, and reduce the signal loss areas near the implants. 

575
17:15
Geometric Distortion Correction of Diffusion-Weighted MRI and its Effect on quantitative ADC analysis
Gabriel Nketiah1, Kirsten M. Selnæs1,2, Elise Sandsmark1, Jose R. Teruel3, Tone F. Bathen1,2, and Mattijs Elschot1

1Department of Circulation and Medical Imaging, NTNU, Norwegian University of Science and Technology, Trondheim, Norway, 2St. Olavs Hospital,Trondheim University Hospital, Trondheim, Norway, 3Department of Radiology, University of California San Diego, CA, United States

Tissue water diffusion (ADC) quantification through diffusion-weighted imaging (DWI) currently plays an integral clinical role in prostate cancer. The echo-planar imaging technique employed in DWI is however prone to geometric distortion due to static magnetic field (B0) inhomogeneity. We investigated the effect of the correction of this distortion on the quantification of ADC values in the prostate. Our study showed that there is a significant association between the amount of distortion (mm) and the difference between ADC values before and after correction, which implies that correction for this could be necessary, especially for voxel-based quantitative analysis.

576
17:27
Estimating and eliminating excitation errors in bipolar gradient composite excitations caused by RF-gradient delay: example of bipolar spokes pulses in parallel transmission
Desmond H Y Tse1, Christopher J Wiggins2, and Benedikt A Poser1

1Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands, 2Scannexus BV, Maastricht, Netherlands

Parallel transmission of spokes pulses is a promising way of mitigating flip-angle inhomogeneity in 2D imaging at ultra-high-field MRI. Bipolar slice-selective gradient is often used to minimise the overall duration of these pulses, making them more resilient to off-resonance related artefacts, but they are prone to errors caused by RF-gradient timing mismatch. In this study, we present a mathematical description for the effect of such delay on bipolar-gradient composite excitations. We demonstrate the effect with both flip-angle maps and EPI images. Finally, we propose a navigator approach to estimate the delay and show two effective ways of eliminating these errors. 

577
17:39
Effect of Concomitant Field in Fast Spin Echo Acquisition on an Asymmetric MRI Gradient System
Shengzhen Tao1, Paul T Weavers1, Joshua D Trzasko1, Yunhong Shu1, Erin M Gray1, John Huston III1, and Matt A Bernstein1

1Radiology, Mayo Clinic, Rochester, MN, United States

Fast-spin-echo (FSE) acquisitions are routinely used in clinical MRI, but can be affected by concomitant field (CF)-induced phase errors. The conventional whole-body MR gradient typically employs symmetric design. On such systems only CFs of 2nd-order spatial dependence are significant. These CFs can cause ghosting in large-FOV FSE acquisition, but are typically negligible over a brain scan volume. Recently, a high-performance, asymmetric gradient system was developed whose CF contains additional zeroth and first-order spatially-dependent fields. Here, we investigate the effect of CF in FSE on this system using extended-phase-graphs simulation, and demonstrate a real-time compensation for them. 

578
17:51
Artifact Correction in Accelerated-Segmented EPI data via Dual-Polarity GRAPPA
W. Scott Hoge1,2 and Jonathan R Polimeni3,4

1Radiology, Brigham and Women's Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Radiology, Massachusetts General Hospital, MA, United States, 4Harvard Medical School, MA, United States

A method to reconstruct images from multiple EPI segments in presented. Leveraging the reconstruction framework from Dual-Polarity GRAPPA, data from each segment and readout polarity are modeled as sampled on separate grids.  After phase-matching calibration data to each segment, a GRAPPA-like reconstruction kernel is generated.  This parameterization ensures that differences in signal phase across all data polarities and segments can be captured in the reconstruction kernel.  We present in-vivo images reconstructed using this approach from concurrently segmented and accelerated high-resolution gradient-echo and spin-echo data acquired at 7T.

579
18:03
Variable Projection SENSE for Reference-free EPI Nyquist Ghost Correction
Yue Zhang1,2,3, Mengye Lyu1,2, Yilong Liu1,2, Yifan Chen3, and Ed X. Wu1,2

1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, People's Republic of China, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong SAR, People's Republic of China, 3Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, People's Republic of China

In this abstract, variable projection sensitivity encoding (VP-SENSE) method is proposed to correct phase error, which is the main cause of Nyquist ghost in EPI. In VP-SENSE, the unknown images are fully represented by a function of phase error and the least squares solution is sought regarding phase error only. Our results have indicated that this approach can robustly remove ghost without apparent SNR penalty. With prior phase error information as constraints, ghost level can be further reduced and the SNR loss can be further minimized through constrained variable projection approach (CVP-SENSE). 


Oral

Pushing the Envelope of fMRI Acquisition

Room 312 Tuesday 16:15 - 18:15 Moderators: Tony Stoecker & An Vu

580
16:15
3D-EPI-CAIPI and 2D-Multiband-EPI: which is best for fMRI at 3T?
Nadège Corbin1, Oliver Josephs1, and Martina F Callaghan1

1Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, United Kingdom

2D-MB-EPI and 3D-EPI-CAIPI acquisition schemes can be used to increase spatiotemporal resolution in fMRI. This study examined which approach is optimal at 3T, over a range of temporal and spatial resolutions, while maintaining extended brain coverage. 10 protocols were tested in vivo for each sequence spanning low and high spatial resolution and a range of through-plane acceleration factors. 3D-EPI-CAIPI outperforms 2D-MB-EPI at lower temporal resolutions, as long as physiological effects are corrected and the maximal CAIPIRINHA shift is used. The benefit is greater at higher spatial resolution. However, as the temporal resolution increases, by increasing the through-plane acceleration, 2D-MB-EPI becomes preferable.

581
16:27
The effect of motion and nuisance regression on resting-state fMRI using highly accelerated SMS- or 3D-EPI
Rüdiger Stirnberg1, Willem Huijbers2, Monique Breteler2, and Tony Stöcker1,3

1MR Physics, DZNE (Bonn), Bonn, Germany, 2Population Health Sciences, DZNE (Bonn), Bonn, Germany, 3Department of Physics and Astronomy, University of Bonn, Bonn, Germany

We compare the effects of motion and nuisance regression on highly accelerated resting-state fMRI of 10 subjects scanned at 3T using state-of-the-art simultaneous multi-slice EPI and segmented 3D-EPI with controlled aliasing. While both TR-matched protocols are per design fast enough to separate the cardiac frequency peak from BOLD signal, gray matter signal-to-noise ratio with the 3D-EPI protocol improves almost twice as much as compared to the SMS-EPI protocol. Template based rotation functional connectivity analysis on average shows greater statistical loadings for several known networks when using cleaned 3D-EPI data than when using cleaned SMS-EPI data.

582
16:39
High-resolution Spiral fMRI at 7T
Lars Kasper1,2, Maria Engel1, Christoph Barmet1,3, Thomas Schmid1, Klaas Enno Stephan4,5,6, and Klaas Paul Pruessmann1

1Institute for Biomedical Engineering, ETH Zurich and University of Zurich, Zuerich, Switzerland, 2Translational Neuromodeling Unit, IBT, University of Zurich and ETH Zurich, Zurich, Switzerland, 3Skope Magnetic Resonance Technologies, Zurich, Switzerland, 4Translational Neuromodeling Unit, IBT, University of Zurich and ETH Zurich, Zuerich, Switzerland, 5Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom, 6Max Planck Institute for Metabolism Research, Cologne, Germany

High-resolution spiral fMRI acquisition at 7 Tesla is shown with excellent image quality and geometric veracity. Both, high-resolution spiral-out (1mm isotropic) and multi-echo spiral-in/out readouts (1.5mm) are acquired in a visual paradigm, performed by 2 subjects. The datasets are analyzed by SPM and activation patterns are shown overlaid over the actual fMRI datasets of almost structural imaging quality.

583
16:51
Blipped Stack of Spirals for Fast Volumetric Functional MRI
V. Andrew Stenger1 and Christoph Rettenmeier1

1University of Hawaii, Honolulu, HI, United States

This work presents a volumetric acquisition technique for fast fMRI using spirals and parallel imaging. Gradient blips were added along the readout of a stack of spirals sequence to produce a blipped stack of spirals for a more efficient sampling scheme. Phantom images and human fMRI experiments show that the method is capable of providing approximately a factor of two speed increase compared to a standard volumetric stack of spirals.

584
17:03
Localization of Neural Activity Using DANTE-Prepared Multi-slice EPI (DANTE-EPI) for BOLD Detection
Linqing Li1, Christine Law2, Karla Miller3, and Peter Jezzard3

1National Institute of Mental Health, National Institute of Health, Rockville, MD, United States, 2Systems Neuroscience and Pain Lab, Stanford University, CA, United States, 3Nuffield Department of Clinical Neurosciences, FMRIB Centre, University of Oxford, Oxford, United Kingdom

To assess whether DANTE-EPI (Delay Alternating with Nutation for Tailored Excitation) sequence for moving blood suppressed fMRI images can effectively reduce inflow effects and, physiological noise originating from intravascular blood signal, and spurious (false positive) functional activation resulting from draining vein effects. Results were compared with images from conventional gradient echo planar imaging (GE-EPI). 

585
17:15
Silent, Multi-Echo T2* Looping Star fMRI
Ana Beatriz Solana1, Anne Menini1, Brice Fernandez2, and Florian Wiesinger1

1GE Global Research, Munich, Germany, 2GE Healthcare, Orsay, France

In this work, we propose a novel method for quiet, 3D, T2* BOLD fMRI in form of multi-echo Looping Star.  Its inaudible scanning offers unique potential for pediatric imaging, imaging auditory or speech paradigms, as well as for resting-state studies. In comparison to standard Gradient-Echo EPI, Looping Star demonstrated better tSNR and lower temporal drift. Motor activation and identification of resting state networks are demonstrated for single and combined echo processing.

586
17:27
Simple approach to improve time series fMRI stability: STAbility-weighted Rf-coil Combination (STARC)
Laurentius Huber1, David Jangraw2, Sean Marrett2, and Peter A Bandettini3

1NIMH, Bethesda, MD, United States, 2NIMH, United States, 3SFIM, NIMH, Bethesda, MD, United States

Advanced EPI -especially at high resolutions- is often limited by signal instabilities arising from a variety of unwanted artifacts. These include: GRAPPA ghosts interference, Nyquist ghosts, phase offset interference patterns, and fat rings. The sources of these artifacts are all somewhat locally confined and are often differently pronounced in different elements of multi coil arrays. Here we propose a simple approach of STAbility-weighted Rf-coil Combination (STARC) that reduces the likelihood of those artifacts. It increases tSNR and fMRI sensitivity up to 50% without a loss in quantifiability, without loss in temporal resolution, and without loss in spatial resolution.

587
17:39
Multi-channel fMRI Denoising Based on Tensor Decomposition
Jun Cao1,2, Yilong Liu1,2, Mengye Lyu1,2, Grantham K. Pang2, and Ed X. Wu1,2

1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong, People's Republic of China, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, People's Republic of China

Conventional fMRI analysis applies spatial Gaussian smoothing to increase SNR, which does not fully utilize multichannel information in fMRI, and often lead to smearing of fMRI images. In this work, we proposed to denoise multichannel fMRI data based on tensor decomposition. Specifically, fMRI data are treated as a 3rd-order tensor, and Canonical Polyadic Decomposition (CPD) is used to approximate fMRI data with sum of limited number of rank-1 terms. Results show its effectiveness in denoising block-design task-related fMRI data, leading to increased temporal SNR and sensitivity of activation detection without sacrificing spatial resolution.

588
17:51
Dual region-selective spiral pTX excitation for digit mapping fMRI in motor cortex and cerebellum
Benedikt A Poser1, Amanda L Kaas1, Christopher J Wiggins2, Kâmil Uludağ1, and Desmond H Y Tse1

1Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands, 2Scannexus BV, Maastricht, Netherlands

We demonstrate the use of 2D-selective excitation with parallel transmission to (a) simultaneously perform BOLD fMRI on two apart brain regions, and (b) benefit from high acceleration factors achievable with sparse volume excitation. Using 8ch pTX at 7T, we apply spatially selective pulses to excite the primary motor and sensory cortices, as well as cerebellum. tSNR measures confirm superior performance compared to whole-brain excitation at the same TR. A finger tapping task is used to elicit digit-specific activation, which is observed in primary cortex and cerebellum.  

589
18:03
T2*-Weighted Echo-Planar Imaging of the Spinal Cord: Full vs. Inner Fields-of-View
Jürgen Finsterbusch1

1Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

BOLD-based fMRI of the spinal cord is challenging because the high resolution required and the field inhomogeneities present promote geometric distortions in echo-planar imaging and T2*-related signal losses which both hamper the image quality and the SNR. With inner-field-of-view imaging techniques, e.g. based on spatially 2D-selective RF excitations, the acquisition can be focussed to the spinal cord which allows to minimize geometric distortions. Furthermore, shorter echo time can be achieved resulting in a significantly increased SNR that may make fMRI feasible throughout the spinal cord.


Oral

Preclinical Models of Neurologic Disease

Room 313A Tuesday 16:15 - 18:15 Moderators: Myriam Chaumeil & Afonso Silva

590
16:15
Investigation of the role of the venous system and the glymphatic system in brain waste clearance
Yimin shen1, Quan Jiang2, Guangliang Ding2, Nicholas Guys1, E. Mark Haacke1, and Jiani Hu*1

1Department of Radiology, Wayne State University, Detroit, MI, United States, 2Neurology, Henry Ford Health System, Detroit, MI, United States

The recently discovered glymphatic system has become an exciting area of research because of its broad implications in both normal neurophysiological activities and neurological disorders. However, the exact relationship between the vascular system and the glymphatic system in terms of waste clearance for the brain is unclear . In addition to the glymphatic system, our preliminary MRI results suggest that the venous (but not the arterial) system also directly participates in waste removal. Fully elucidating the roles of the venous and glymphatic systems in waste removal from the brain is important for understanding the influence of waste clearance on neurological diseases.

591
16:27
Anterograde manganese transport in donor optic nerve following whole eye transplantation
Yolandi van der Merwe1,2,3, Chiaki Komatsu4, Lin He4, Maxine R Miller3,4, Ian Rosner4, Huamin Tang4, Joel S. Schuman5, Jose-Alain Sahel3, Michael B. Steketee3, Kia M. Washington4, and Kevin C. Chan2,3

1Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 2Neuroimaging Laboratory, University of Pittsburgh, Pittsburgh, PA, United States, 3Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA, United States, 4Department of Surgery, University of Pittsburgh, Pittsburgh, PA, United States, 5Department of Ophthalmology, New York University, New York, NY, United States

Approximately 39 million people worldwide suffer from irreversible blindness. Our recently established whole eye transplant model (WET) gives the opportunity to provide an intact optical system that could restore lost vision. In this study we use manganese-enhanced MRI to examine the anterograde transport of the transplanted and recipient visual pathways following WET. Our results show comparable manganese enhancement between donor and naïve intraorbital optic nerves, suggesting the presence of anterograde manganese transport in the donor optic nerve. This in vivo imaging model system may allow future examinations of neuroregenerative approaches for connecting between the transplanted eye and the recipient’s brain. 

592
16:39
Detailing the Origin of BOLD fMRI in Mice: Somatosensory Stimulation versus Pharmacologically Induced Blood Pressure Alterations
Henning Matthias Reimann1, Mihail Todiras2, Till Huelnhagen1, Michael Bader2, Andreas Pohlmann1, and Thoralf Niendorf1,3

1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrueck Center for Molecular Medicine (MDC), Berlin, Germany, 2Max Delbrueck Center for Molecular Medicine (MDC), Berlin, Germany, 3Experimental and Clinical Research Center (ECRC), a joint cooperation between the Charité Medical Faculty and the Max Delbrueck Center, Berlin, Germany

The combination of somatosensory fMRI (sfMRI) and mouse genomics holds great potential to unravel the underlying mechanisms of chronic pain. Transient stimuli were shown to induce unspecific BOLD patterns in mice. It is known that increases in mean arterial blood pressure (MABP) can mimic BOLD activations in rats. To detail the origin of the unspecific BOLD patterns evoked in the murine brain we performed sfMRI along with pharmacologically induced blood pressure alterations while monitoring MABP. We compared MABP changes, BOLD signals and BOLD patterns between the types of stimuli and observed confounding effects of MABP on murine BOLD fMRI.

593
16:51
Remodeling of resting state functional connectivity following thyromimetic induced remyelination in the mouse brain
Neele Saskia Hübner1, Annika Carolin Hammerschmitt1, Thiago Marques De Melo1,2, Thomas Bienert1, Jürgen Hennig1, Dominik von Elverfeldt1, and Laura Adela Harsan1,3,4

1Department of Radiology, Medical Physics, University Medical Center Freiburg, Freiburg, Germany, 2Spemann Graduate School of Biology and Medicine, Albert-Ludwigs-University of Freiburg, Freiburg, Germany, 3Laboratory of Engineering, Informatics and Imaging, University of Strasbourg, Strasbourg, France, 4Department of Biophysics and Nuclear Medicine, University Hospital Strasbourg, Strasbourg, France

Characterization of the brain network architecture and its alterations in pathologies are essential for a better understanding of mechanisms of action in health and disease and paves the way for the development of targeted therapeutic strategies. In the field of demyelinating disorders, thyromimetic treatment provides a promising remyelinating strategy inducing oligodendrogenesis in vitro. We tested the potential of sobetirome (GC-1),  a thyroid hormone analogue, to induce remyelination in vivo in the cuprizone demyelinated mouse model and we investigated its action on the resting state (rsfMRI) mouse brain functional connectivity.

594
17:03
Genetic rescue of brain morphometry in a mouse model of neurodevelopmental disorder
Rylan Allemang-Grand1, Jacob Ellegood1, Leigh Spencer Noakes1, Brian J Nieman1, and Jason P Lerch1

1Neurosciences and Mental Health, SickKids Hospital, Toronto, ON, Canada

In this study, we scanned a mouse model of Rett syndrome before and after reactivation of Mecp2, the gene strongly implicated in the disorder. We found that reactivation of Mecp2 at three different time points in adulthood lead to drastic growth of the neuroanatomy across many regions of the cortex, cerebellum and medulla. Our findings demonstrate that the developmental delayed brain retains an innate plasticity that can be recruited to restore neuroanatomical structure in adulthood.

595
17:15
Can mice outrun the deleterious impacts of radiation to the brain?
Kamila U. Szulc1, Shannon Egan2, Elizabeth A. de Guzman2,3,4, Aidin Arbabi2,3,4, Donald J. Mabbott1,5, and Brian J. Nieman2,3,4

1Neurosciences and Mental Health, Hospital for Sick Children, Toronto, ON, Canada, 2Mouse Imaging Centre, Hospital for Sick Children, Toronto, ON, Canada, 3Ontario Institute for Cancer Research, Toronto, ON, Canada, 4Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 5Department of Psychology, University of Toronto, Toronto, ON, Canada

Pediatric cancer patients who receive cranial radiation therapy (CRT) exhibit cognitive deficits later in life. These deficits are often accompanied by brain structure abnormalities, especially prevalent in the white matter and hippocampus. The objective of this study was to explore the potential of physical exercise to mitigate some of the deleterious effects of CRT on the brain, using a mouse model and high-resolution MRI as a measure of brain structure. We found that irradiated mice housed in cages with access to running wheels showed a remarkable recovery of a number of CRT-induced brain volume deficits, most notably in the hippocampus. 

596
17:27
MRI visualization of brain-like tissue formation following implantation of neural precursors into in cerebrospinal fluid
Nikorn Pothayee1, Dragan Maric2, Kathryn Sharer1, Jung-Hwa Tao-Cheng 3, Stephen Dodd1, Alec Calac1, James Pickel4, and Alan Koretsky1

1Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States, 2Flow Cytometry Core Facility, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States, 3Electron Microscopy Facility, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States, 4Transgenic Core Facility, National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States

Neural stem cell transplantation has been hailed as a promising approach for treatment of neurological diseases. While most in vivo studies have implanted cells into specific sites in brain tissue, little is known whether the cerebrospinal fluid (CSF) provides a permissive environment in cultivating tissue growth. Here, using MRI, we investigate whether early neural precursor cells could initiate a large-scale formation of new brain tissue in the CSF of adult rat.

597
17:39
Use of Pharmacological MRI (phMRI) to understand the mechanisms leading to convergent procognitive effects of 5-HT6 serotonergic receptors agonist (EMD-386088) and antagonist (SB-271046).
Willy Gsell1, Rachel Asselot2, Nicolas Delcroix3, Uwe Himmelreich1, Valentine Bouet2, and François Dauphin2

1Biomedical MRI group, KU Leuven, Leuven, Belgium, 2GMPc (Groupe Mémoire et Plasticité comportementale), University of Caen-Normandie, Caen, France, 3CNRS UMS3408, GIP CYCERON, Caen, France

Either blocking or activating 5HT6 receptors (5-HT6R), respectively with antagonists or agonists, exert beneficial cognitive effects. Through phMRI, we demonstrated for the first time the similarities and discrepancies in the brain activation induced by an agonist and an antagonist of 5-HT6R. Both drugs similarly activate cortices and hippocampus. SB-271046 positively activates a network including the medio-dorsal raphe while EMD-386088 activates the rostral dorsal raphe. The different patterns of activation elicited in brain regions such as the habenula and the MG/DG nuclei (for SB-271046), or the amygdala and substantia nigra (for EMD-386088) supports different interactions with polysynaptic pathways.

598
17:51
Predicting Functional and Histological Outcomes in Spinal Cord Injury: Comparing Double Diffusion Encoding and Diffusion Tensor Imaging in the Rat
Nathan Skinner1,2, Shekar Kurpad3,4, Brian Schmit5, Natasha Beucher3, Kyle Stehlik3, L. Tugan Muftuler3, and Matthew Budde3

1Biophysics Graduate Program, Medical College of Wisconsin, Milwaukee, WI, United States, 2Medical Scientist Training Program, Medical College of Wisconsin, Milwaukee, WI, United States, 3Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States, 4Clement J Zablocki Veterans Affairs Medical Center, Milwaukee, WI, United States, 5Biomedical Engineering, Marquette University, Milwaukee, WI, United States

Using a rat model of spinal cord injury (SCI), diffusion tensor imaging (DTI) is compared to double diffusion encoding (DDE) at the acute and chronic stages after injury. Acute DDE measurements show a strong relationship with chronic functional outcomes whereas DTI has poor prognostic sensitivity.  On the other hand, during the chronic stage, DTI outperforms DDE as a marker of functional status.  The differences reflect evolving pathologies that must be considered for the appropriate application and interpretation of DTI and DDE. The results also highlight the prognostic potential of DDE in acute SCI.

599
18:03
Spinal DTI Parametric Changes Following Traumatic Injury in Monkeys
Arabinda Mishra1, Feng Wang1, Li Min Chen1, and John C Gore1

1Radiology, Vanderbilt University Medical Center, Nashville, TN, United States

The proposed DTI study aims at quantification of the effect of experimentally induced dorsal column lesion at upper cervical level (C4/5) in squirrel monkeys. Diffusion parametric changes based on the directionality, and mobility of water molecules in the cellular environment, characterizes the spinal cord. Change in diffusion parameters on specific white matter tracks above and below the SCI location were compared between the lesioned and normal side of the spinal cord. A systematic group analysis of the inter-ROI changes along the white matter pathways can therefore be used to correlate the loss and recovery of sensory/motor functions over time. 


Oral

Diffusion: Multi-Site & Validation

Room 313BC Tuesday 16:15 - 18:15 Moderators: Kathryn Keenan & Ek Tan

600
16:15
Multi-site Concordance of DWI Metrics: Results of the NCI Quantitative Imaging Network ADC Mapping Collaborative Project
David C Newitt1, Dariya Malyarenko2, Thomas L Chenevert2, C. Chad Quarles3, Laura Bell3, Andrey Fedorov4, Fiona Fennessy4, Michael A Jacobs5, Meiyappan Solaiyappan 5, Stefanie Hectors6, Bachir Taouli6, Kathleen M Schmainda7, Melissa A Prah7, Yi-Fen Yen8, Jayashree Kalpathy-Cramer8, Erin Taber 9, Christopher Kroenke 9, Yue Cao10, Madhava Aryal11, Mark Muzi12, Paul Kinahan12, Thomas E Yankeelov13, Lori R Arlinghaus14, Michael A Boss15, Amita Shukla-Dave16, and Nola Hylton1

1Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States, 2Radiology, University of Michigan Health System, Ann Arbor, MI, United States, 3Translational Bioimaging Group, Barrow Neurological Institute, Phoenix, AZ, United States, 4Brigham and Womens Hospital, Boston, MA, United States, 5Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 6Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 7Radiology and Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, 8Martinos Center, Massachusetts General Hospital, Boston, MA, United States, 9Oregon Health & Science University, Portland, OR, United States, 10Radiation Oncology, Radiology, and Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States, 11Radiation Oncology, University of Michigan, Ann Arbor, MI, United States, 12Radiology, Neurology & RadOnc, University of Washington, Seattle, WA, United States, 13University of Texas, Austin, TX, United States, 14Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States, 15Applied Physics Division, National Institute of Standards and Technology, Boulder, CO, United States, 16Medical Physics and Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY, United States

Reproducibility of diffusion metrics is essential given the increasing role quantitative diffusion weighted imaging plays in diagnosis and treatment monitoring. Here we examined the variability in apparent diffusion coefficient (ADC) measures resulting from different post-processing software implementations utilized by researchers across the NCI Quantitative Imaging Network. Agreement between the majority of implementations was good; typical biases for in vivo ADC measures of 2-3%, and lower biases in phantom scans. Higher deviations (above 5%)  detected among individual implementations and scanner-generated parametric maps highlighted inadequacies in meta-data and post-processing parameters that need to be addressed in multi-site study settings.

601
16:27
Statistical harmonization of multi-site diffusion tensor imaging data with ComBat
Jean-Philippe Fortin1, Drew Parker2, Birkan Tunç2, Takanori Watanabe2, Mark A. Elliott2, Kosha Ruparel3, Ruben C. Gur3, Raquel E Gur3, Robert T. Schultz4, Russell T Shinohara1, and Ragini Verma2

1Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Psychiatry, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, United States, 4Center for Autism Research, Children's Hospital of Philadelphia, Philadelphia, PA, United States

Diffusion tensor imaging (DTI) is a well-established magnetic resonance imaging technique to study microstructural changes in the white matter (WM). DTI images suffer from unwanted inter-scanner variability, which is problematic when combining datasets from different sites. In this work, we propose to use ComBat, a location-scale Empirical Bayes model largely used in genomics, to combine and harmonize multi-site DTI datasets. Using a study of 210 subjects with an age range of 8 to 18 years old from two imaging sites, we show that ComBat (1) removes unwanted variation associated with imaging site and (2) improves the power at detecting regions known to exhibit microstructural changes in this age range. 

602
16:39
Variability and Reproducibility of Multicenter Human Diffusion Measurements with Track-density Imaging Analysis
Qiqi Tong1, Ting Gong1, Peipeng Liang2, Tianyi Qian3, Xu Yan3, Yi Sun3, Chen Li1, Qiuping Ding1, Hongjian He1, Kuncheng Li2, and Jianhui Zhong1

1Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, Zhejiang University, Hangzhou, People's Republic of China, 2Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, People's Republic of China, 3MR Collaboration NE Asia, Siemens Healthcare, Shanghai, People's Republic of China

In a multicenter imaging study, it is vital to properly evaluate the variability of image quality among scanners. For diffusion imaging, estimations based on ADC and FA measurements with tensor models have previously been studied. However, such evaluation is not sufficient for studies with more diffusion directions like HARDI or DSI. This study uses track-density imaging to estimate the variability and reproducibility of multi-shell diffusion images from multicenter data acquired in the same subjects.

603
16:51
Normalization of inter-site Structural Connectivity Data for Regression analysis
Takanori Watanabe1, Birkan Tunc1, Drew Parker1, Jean-Philippe Fortin2, Mark A. Elliott1, Kosha Ruparel3, Ruben C. Gur3, Raquel E. Gur3, Robert Schultz4, Russell T. Shinohara2, and Ragini Verma1

1Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, 3Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, 4Center for Autism Research, Children’s Hospital of Philadelphia

Diffusion tensor imaging (DTI) and tractography have revealed many critical insights about how the human brain is organized as a large-scale complex network. As multisite imaging studies are becoming increasingly popular within the neuroimaging field, it is imperative to develop methods that can correct for inter-site differences, facilitating the combination of data from multiple sites. In this study, we present a normalization scheme that will correct for site-specific differences in diffusion-based structural connectivity data, and demonstrate its efficacy through multivariate regression experiments using the normalized structural connectivity features to predict subject’s age.

604
17:03
MRI vs. X-ray scattering: comparative study of myelin distribution, fiber direction and white matter tracts in mouse brain
Marios Georgiadis1, Zirui Gao1, Dario Zingariello1, Valerio Zerbi2, Marianne Liebi3, Stefan Sommer1, Mark Augath1, Oliver Bunk3, Manuel Guizar-Sicairos3, Aileen Schroeter1, and Markus Rudin1

1Institute for Biomedical Engineering, ETH Zurich, Zurich, Switzerland, 2Neural Control of Movement Lab, ETH Zurich, Zurich, Switzerland, 3Paul Scherrer Institute, Switzerland

MRI is the method of choice for brain imaging. However, it uses indirect structural information to infer densities of molecules such as myelin, and water diffusion direction as a proxy for fiber direction. Small-angle X-ray scattering tensor tomography (SAXSTT) provides an alternative approach to assess myelin distribution and fiber direction using directly structural information related to the molecular structure of myelin sheath. We applied SAXSTT to mouse brain to validate and compare different MRI methods (MT, DWI). We found a high degree of similarity with MT macromolecule distribution, and also DWI-derived white matter tracts, but with significant region-specific differences.

605
17:15
Histological Validation of Orientation Dispersion and Fiber Orientation
Kurt Schilling1, Vaibhav Janve1, Yurui Gao1, Iwona Stepniewska2, Bennett A Landman1,3, and Adam W Anderson1

1Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Department of Psychology, Vanderbilt University, Nashville, TN, United States, 3Department Electrical Engineering, Vanderbilt University, Nashville, TN, United States

In this study, using 3D confocal microscopy to extract histological fiber orientation distributions, we validate tract-specific measures of dispersion and orientation derived from high angular resolution diffusion imaging techniques. We find a correlation between histological and diffusion measures of dispersion in q-ball imaging and constrained spherical deconvolution. We also find that an increased dispersion leads to greater error in fiber orientation estimates, as well as the presence of false positive peaks in the diffusion profiles. Future work will validate these measures in more high angular resolution diffusion techniques and microstructural models. 

606
17:27
Topography of the acoustic radiation as revealed by ex-vivo fiber dissections and in-vivo diffusion-based tractography
Chiara Maffei1, Jorge Jovicich1, Alessandro De Benedictis2, Franco Chioffi3, and Silvio Sarubbo3

1CIMeC Center for Mind/Brain Sciences, Trento University, Trento, Italy, 2Division of Neurosurgery, Bambino Gesù Hospital, Rome, Italy, 3Structural and Functional Connectivity Lab, Div. of Neurosurgery, “S.Chiara Hospital, Trento APSS, Italy

The acoustic radiation (AR) is a compact bundle of fibers conveying auditory information from the thalamus to the cortex. Topographical knowledge of this bundle is scarce and its diffusion-based tractographic reconstruction remains hardly achievable, especially for commonly available MRI acquisition protocols. In this scenario, validation of tractography results is particularly important. In this study we used blunt dissection to precisely characterize AR topography and relationships with adjacent bundles. Being aware of the anatomical characteristics of the tract provides us with the underlying ground truth on which methodological decisions, aimed at overcoming the limits of the tractographic reconstruction, can be made. 

607
17:39
Robust Estimation and In-vivo Validation of the Axon Bundle Diffusivity Profiles
Ricardo Coronado-Leija1, Alonso Ramirez-Manzanares1, and Jose Luis Marroquin1

1Computer Science, Centro de Investigacion en Matematicas, Guanajuato, Mexico

A stable, accurate and robust-to-noise general framework for the estimation of the intra-voxel axial and radial diffusivity parameters for diffusion-weighted magnetic resonance imaging is presented. The method estimates the diffusion profiles at multi-fiber voxels, improving the estimation of the intra-voxel geometry at challenging microstructure configurations. It naturally constrains the sparsity on the recovered solutions and exploits the spatial redundancy of the axon packs. A useful evaluation metric is proposed: it combines the information of the success rate of the number of bundles and their angular error. A new evaluation method for the in-vivo estimations on large datasets is also proposed.

608
17:51
Validation of axon diameter and density estimates by TractCaliber MRI in a biomimetic brain phantom
Susie Y Huang1, Qiuyun Fan1, Barbara Wichtmann2, Aapo Nummenmaa1, Walter Schneider3, and Lawrence L Wald1

1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States, 2Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 3Learning Research and Development Center, University of Pittsburgh, Pittsburgh, PA, United States

We validate axon diameter and density estimates using a novel biomimetic brain phantom that emulates the microstructural features of white matter, consisting of hollow textile axons (“taxons”) on the micron scale with distinct intra- and extra-axonal compartments and crossing regions. Diffusion data acquired over a range of gradient strengths, directions and diffusion times were fitted with the TractCaliber approach. Taxon volume fractions were accurately estimated, and the diameters were slightly overestimated in areas with less densely packed fibers. Such phantoms may be useful for testing microstructural models of the diffusion signal, and for scanner and protocol calibration.

609
18:03
Phantom Validation of Diffusion-Relaxation Correlation Spectroscopic Imaging (DR-CSI)
Daeun Kim1, Eamon K. Doyle2,3, Jessica L. Wisnowski4, and Justin P. Haldar1,2

1Electrical Engineering, University of Southern California, Los Angeles, CA, United States, 2Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, 3Cardiology, Children's Hospital Los Angeles, Los Angeles, CA, United States, 4Radiology, Children's Hospital Los Angeles, Los Angeles, CA, United States

Diffusion-relaxation correlation spectroscopic imaging (DR-CSI) is a novel multidimensional MR imaging approach that infers microscopic tissue compartments using simultaneous diffusion and relaxation information.  The approach was previously demonstrated with biological data, although validation was not possible in the absence of a gold standard reference.  In this work, we perform simulation and experimental studies, using a gold standard for validation.  Specifically, we custom-built a multi-compartment diffusion-relaxation phantom with known characteristics, and performed extensive comparisons between DR-CSI and conventional multi-compartment estimation methods.  Our results demonstrate that DR-CSI has good performance, enabled by the combination of multidimensional encoding and constrained spectroscopic image reconstruction. 


Oral

Parkinson's & ALS

Room 314 Tuesday 16:15 - 18:15 Moderators: Geon-Ho Jahng & Toshiaki Taoka

610
16:15
Diffusion tensor and restriction spectrum imaging reflect different aspects of neurodegeneration in Parkinson’s disease
Tuva Hope1, Per Selnes2, Irena Rektorová3, Zuzana Balážová3, Anders Dale4, Atle Bjørnerud1, and Tormod Fladby2

1Oslo University Hospital, Oslo, Norway, 2Akershus University Hospital, Lørenskog, Norway, 3Central European Institute of Technology, Brno, Czech Republic, 4University of California San Diego, La Jolla, CA, United States

Diffusion measures within the brain are assumed to be associated with neuronal and glial structure and integrity. In this study, we compare how diffusion tensor imaging (DTI) and restriction spectrum imaging (RSI) detect micro-structural changes within brain regions associated with motor function in Parkinson's Disease.

611
16:27
Lateral Dependence of Brainstem Structural Abnormalities in Parkinson’s Disease as Revealed by High-Resolution Non-Gaussian Diffusion MR Imaging
Zheng Zhong1,2, Douglas Merkitch3, Muge Karaman1, Yi Sui1, Jennifer Goldman3, and Xiaohong Joe Zhou1,4

1Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 3Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, United States, 4Departments of Radiology, Neurosurgery and Bioengineering, University of Illinois at Chicago, Chicago, IL, United States

Parkinson’s disease (PD) is a neurodegenerative disorder characterized by progressive degeneration of dopaminergic neurons in the substantia nigra (SN). With the ability to reveal tissue  microstructural changes, non-Gaussian diffusion models with high b-values can provide a wealth of information related to the neurodegenerative process  and complement the conventional Gaussian diffusion model. Non-Gaussian diffusion imaging is typically performed with limited spatial resolution and subject to image distortion. In this study, we have combined a high-resolution, distortion-free diffusion sequence with a non-Gaussian diffusion model to analyze the lateral dependence of tissue abnormalities in the SN of PD patients compared to healthy controls.

612
16:39
Pharmacological arterial spin labeling reveals distinct mesocorticolimbic blood flow in Parkinson’s disease patients with compulsive reward-driven behaviors
Daniel Claassen1, Adam Stark2, Charis Spears2, Kalen Petersen3, Scott Wylie2, Nelleke van Wouwe2, Robert Kessler4, David Zald5, and Manus J Donahue3

1Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 2Neurology, Vanderbilt University Medical Center, 3Radiology, Vanderbilt University Medical Center, 4Radiology, University of Alabama at Birmingham, 5Psychology, Vanderbilt University Medical Center

The overall goal of this work is to apply pharmacological arterial spin labeling (ASL) to investigate fundamental hypotheses regarding the role of dopamine agonist (DAgonist) therapy in patients with Parkinson’s disease and impulse control behavior (ICB). Parkinson’s disease patients (n=35; age range=40-79 years; gender=23/12 males/females) receiving DAgonist therapy, with (n=17) and without (n=18) DAgonist-induced ICB were scanned at 3T using cerebral blood flow (CBF)-weighted pCASL MRI. Region-of-interest analyses revealed significantly increased bilateral ventral striatal (P<0.01) CBF in patients with ICB in the On- DAgonist state; voxel-wise analysis of CBF confirmed widespread DAgonist-induced CBF increases in mesolimbic, mesocortical, and midbrain regions.

613
16:51
Striatal Glutathione Deficit in Parkinson’s Disease Measured In Vivo with J-edited  1H MRS Directly Implicates Oxidative Stress in Disorder Pathophysiology
Dikoma C. Shungu1, Xiangling Mao1, Nora Weiduschat1, Aneliya Hanineva 2, Yize Zhao3, Halinder S. Mangat2, Guoxin Kang1, James Carter2, Natalie Hellmers2, and Claire Henchcliffe 2

1Radiology, Weill Cornell Medicine, New York, NY, United States, 2Neurology and Neuroscience, Weill Cornell Medicine, New York, NY, United States, 3Healthcare Policy and Research, Weill Cornell Medicine, New York, NY, United States

Postmortem studies of Parkinson’s disease (PD) brain have consistently reported deficits of nigrostriatal glutathione (GSH) – the most abundant antioxidant in living tissue – of up to 40% compared to normal brain, strongly implicating oxidative stress in the pathophysiology of PD. However, direct evidence corroborating a striatal GSH deficit in PD brain in vivo is currently lacking. Using J-edited 1H MRS, this study measured striatal GSH in vivo in patients with PD and in matched control subjects, and found not only a 15% deficit of striatal GSH in PD that corroborated postmortem data, but also evidence of nigrostriatal neurodegeneration in the disorder.



614
17:03
Subtypes Evaluation of Motor Dysfunction in Parkinson’s Disease using Neuromelanin-sensitive Magnetic Resonance Imaging
Tao Gong1,2, Yuanyuan Xiang3, Guangbin Wang4, and Richard A.E. Edden2

1MRI, Shandong Medical Imaging Research Institute, Shandong University, Jinan, People's Republic of China, 2Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Shandong University, Jinan, People's Republic of China, 4MRI, Shandong Medical Imaging Research Institute

The aim of this study was to evaluate the differences in NM-MRI between PD motor subtypes. We compared the signal intensity contrast ratios in medial and lateral regions of the SNc using NM-MRI in TD, PIGD and controls. The results demonstrated more severe signal attenuation in the medial part of SNc in PIGD patients compared with TD group. And the medial part of SNc showed high power to discriminate the PD motor subtypes. NM-MRI affords us a valuable examination method to discriminate the PD motor subtypes, providing a new evidence for the neuropathological basis of differences between the two subtypes.

615
17:15
Reproducible detection of nigral iron deposition in Parkinson’s disease: Validation in two cohorts
Jason Langley1, Naying He1,2, Daniel E Huddleston3, Fuhua Yan2, and Xiaoping Hu4

1Center for Advanced Neuroimaging, University of California Riverside, Riverside, CA, United States, 2Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University, People's Republic of China, 3Department of Neurology, Emory University, Atlanta, GA, United States, 4Department of Bioengineering, University of California Riverside, Riverside, CA, United States

A characteristic of Parkinson's disease is neuronal loss in substantia nigra pars compacta (SNpc).In healthy subjects, SNpc contains a dense distribution of neuromelanin containing dopaminergic neurons and significant degeneration in SNpc has occurred at the time Parkinsonian symptom onset. Furthermore, extensive evidence suggests that iron deposition is related to neuronal loss and reduction of neuromelanin in SNpc. In this abstract, we examine the reproducibility of iron deposition in SNpc.

616
17:27
Altered white matter microarchitecture in amyotrophic lateral sclerosis:a voxel-based meta-analysis of diffusion tensor imaging
Guangxiang Chen1, Feifei Zhang1, Song Wang1, Xiaoqi Huang1, and Qiyong Gong1

1Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital, Sichuan University, Chengdu, People's Republic of China

The results of recent diffusion tensor imaging (DTI) studies on amyotrophic lateral sclerosis (ALS) have been inconclusive and controversial. We performed a voxel-based meta-analysis to identify statistical consensus between published DTI studies for altered white matter (WM) microarchitecture in ALS. Our findings provides a thorough profile of WM microarchitecture alterations in ALS and further evidence that the neuronal degeneration is not limited to the corticospinal tract but also includes the extra-motor areas, supporting the view of ALS being a multisystem degenerative disorder involving WM.

617
17:39
Diffusion and T2 characterizations in hindbrain and spinal cord in SOD1 mouse model of ALS
Luke Xie1, Robert Brendza2, Maj Hedehus1, Sara Dominguez2, Oded Foreman3, Arundhati Sengupta Ghosh2, William J. Meilandt2, Gai Ayalon2, and Richard A. D. Carano1

1Biomedical Imaging, Genentech, South San Francisco, CA, United States, 2Neuroscience, Genentech, South San Francisco, CA, United States, 3Pathology, Genentech, South San Francisco, CA, United States

Amyotrophic lateral sclerosis (ALS) is a devastating neurological disease characterized by motor neuron loss and eventual paralysis and respiratory failure. The SOD1 transgenic mouse model exhibits many aspects of human ALS and is useful for evaluating treatment strategies. MRI of the nervous system can provide the critical insights to motor neuron and upper body functional deterioration in ALS. In this study, we applied T2 and DTI to assess gray and white matter degeneration in the brain and cervical spine in a SOD1 mouse model.

618
17:51
Sodium accumulation in primary motor areas, an early feature of amyotrophic lateral sclerosis patients
Aude-Marie Grapperon1,2, Annie Verschueren2, Adil Maarouf1,3, Lauriane Pini1, Sylviane Confort-Gouny1, Jean-Philippe Ranjeva1, Maxime Guye1,3, Shahram Attarian2, and Wafaa Zaaraoui1

1Aix-Marseille Univ, CNRS, CRMBM, Marseille, France, 2Aix-Marseille Univ, APHM, Hopital de la Timone, ALS department, Marseille, France, 3Aix-Marseille Univ, APHM, Hopital de la Timone, CEMEREM, Marseille, France

Amyotrophic lateral sclerosis (ALS) is a rapidly fatal neurodegenerative disease characterized by upper (in brain) and lower (in spine) motor neuron degeneration. As conventional MRI fails to show brain motor neurons impairment in ALS, advanced techniques are needed to improve the diagnosis and to monitor the progression of the disease. In this study, brain 23Na MRI was applied in 15 ALS patients and 31 controls. A common pattern of sodium accumulation was found in patients in the primary motor areas while no atrophy was detected. The occurrence of sodium accumulation without atrophy probably reflects early neuronal injury in ALS.

619
18:03
Glial activation measured by [11C]-PBR28 PET correlates with 1H-MRS brain metabolites in amyotrophic lateral sclerosis
Eva-Maria Ratai1,2, Mohamad J Alshikho2,3, Nicole R. Zürcher1,2, Marco L. Loggia1, Paul Cernasov 3, Jennifer Fish3, Raghav Seth1, Sabrina Paganoni2,3, Bruce R. Rosen1,2, Jacob M. Hooker1,2, and Nazem Atassi2,3

1Radiology, A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Harvard Medical School, 3Neurology, Neurological Clinical Research Institute (NCRI), A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States

The purpose of our study was to evaluate the relationship between glial activation assessed by [11C]-PBR28 positron emission tomography, and neuronal integrity and gliosis/neuroinflammation measured by magnetic resonance spectroscopy in people with amyotrophic lateral sclerosis (ALS). Glial activation measured by increased [11C]-PBR28 uptake correlated with increased levels of myo-Inositol/Creatine, a spectroscopic marker of gliosis/neuroinflammation in the brain stem and motor cortices. Furthermore, increased [11C]-PBR28 uptake correlated with neuronal damage measured by decreased N-acetylaspartate/Creatine levels. To our knowledge, this is the first study to evaluate the relationship between glial activation, measured by [11C]-PBR28 PET, and brain metabolites assessed by MRS.


Oral

Perfusion & Diffusion in Cancer

Room 316BC Tuesday 16:15 - 18:15 Moderators: Patrick Bolan & Ashley Stokes

620
16:15
Feasibility and evaluation of free-breathing and self-gated cartesian-sampled T1-weighted 4D MRI with compressed sensing resulting in combined diagnostic image quality and perfusion analysis
Christer Ruff1, Jakob Weiss1, Ahmed Othman1, Petros Martirosian2, Marcel Dominik Nickel3, Robert Grimm3, Manuel Kolb1, Matthias Kündel1, Fabian Bamberg1, Konstantin Nikolaou1, and Mike Notohamiprodjo1

1Diagnostic and Interventional Radiology, University Hospital Tuebingen, Tuebingen, Germany, 2Section on Experimental Radiology, University Hospital Tuebingen, 3Siemens Healthcare, Erlangen, Germany

In clinical practice, a remaining challenge of dynamic contrast-enhanced (DCE)-MRI is to acquire a high spatio-temporal resolution without motion artifacts and diagnostic quality, despite acquisitions over several minutes. In particular, iterative reconstruction techniques have brought free-breathing acquisitions in clinical range. In this study, we proved feasibility and evaluated a prototype Cartesian-sampled fat-saturated T1-weighted 3D gradient-echo sequence with automated respiratory self-gating and compressed sensing reconstruction (VIBESG-CS) for continuous dynamic contrast-enhanced (DCE) MRI and perfusion analysis including lesion detection of the liver using a Tofts model. VIBESG-CS including perfusion analyisis showed better motion robustness and similar lesion conspicuity compared to a standard morphology sequence (fat-saturated T2-TSE).

621
16:27
Robust arterial input functions by fitting the complex DCE-MRI signal: a test-retest study in prostate cancer
Edzo M.E. Klawer1, Petra J. van Houdt1, Frank F.J. Simonis2, Cornelis A.T. van den Berg2, Floris J. Pos1, Stijn W.T.P. Heijmink3, and Uulke A. van der Heide1

1Department of radiation oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands, 2Department of radiation oncology, Imaging Division, University Medical Center, Utrecht, Netherlands, 3Department of radiology, The Netherlands Cancer Institute, Amsterdam, Netherlands

The arterial input function is still one of the main problems for quantitative DCE analysis. In this study, we show that the repeatability of individual AIFs improve by using the complex signal instead of magnitude or phase signal alone by using test-retest DCE-MRI data of prostate cancer. This will eventually result in an accurate quantitative DCE-MRI analysis by including patient inter and intra-variability.

622
16:39
Evaluation of Approximation Method for B1+ Correction using Digital Reference Object in Prostate DCE-MRI
Xinran Zhong1,2, Holden Wu1,2, Krishna Nayak3, and Kyunghyun Sung1,2

1Department of Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States, 2Physics and Biology in Medicine IDP, University of California, Los Angeles, Los Angeles, CA, United States, 3Department of Electrical Engineering, University of Southern California, Los Angeles, CA, United States

A digital reference object (DRO) for prostate dynamic contrast-enhanced MRI application is created by modifying DRO created by the RRSNA Quantitative Imaging Biomarkers Alliance (QIBA).  Our previously proposed approximation B1+ correction method for pharmacokinetic modeling was then tested on this DRO assuming B1+ variation of 20%,  considering practical considerations such as fitting method, arterial input function selection and noise level. The proposed approximation method introduced error is shown to be negligible compared to B1+ introduced error and noise introduced error.


623
16:51
Radiomic Texture Features from MR Perfusion images Predicts Pseudoprogression from True Progression in Glioblastoma Patients: A Multi-Institutional Study
Aikaterini Kotrotsou1, Nabil A Elshafeey1, Srishti Abrol 1, Dunia Giniebra Camejo2, Islam Hassan1, Ahmed Hassan1, Kamel El Salek1, Ahmed T Shaaban1, Samuel Bergamaschi3, Fanny E Moron4, Meng Law3, Pascal O Zinn5, and Rivka R Colen1,2

1Diagnostic Radiology, MD Anderson Cancer Center, Houston, TX, United States, 2Cancer Systems Imaging, MD Anderson Cancer Center, Houston, TX, United States, 3Neuroradiology, University of Southern California Keck Medical Center, Los Angeles, CA, United States, 4Neuroradiology, Baylor College of Medicine, Houston, TX, United States, 5Neurosurgery, Baylor College of Medicine, Houston, TX, United States

Response assessment criteria, such as RANO, struggle to distinguish between true progression and pseudoprogression. In this work we evaluated the performance of radiomic texture features extracted from MR perfusion images (Dynamic contrast enhancement (DCE) and Dynamic susceptibility contrast (DSC)) in discriminating true progression from pseudoprogression. Using a large multi-institutional cohort, we demonstrated that changes in texture features of perfusion maps (DCE and DSC) can be effective predictors of progressive disease. We present a noninvasive, complimentary method that is directly applicable in clinical setting and can assist physicians in diagnosis and therapy planning. 

624
17:03
Quantitatively Differentiating Multiple Co-Existing Pathologies in High-Grade Glioma
Ze-Zhong Ye1, Richard Price2, Peng Sun3, Ajit George 3, Chunyu Song4, Sonika Dahiya5, Albert Kim2,6,7, and Sheng-Kwei Song3,4,8

1Chemistry, Washington University, St. Louis, MO, United States, 2Neurological Surgery, Washington University, St. Louis, MO, United States, 3Radiology, Washington University, St. Louis, MO, United States, 4Biomedical Engineering, Washington University, St. Louis, MO, United States, 5Pathology and Immunology, Washington University, St. Louis, MO, United States, 6Neurology, Washington University, St. Louis, MO, United States, 7Developmental Biology, Washington University, St. Louis, MO, United States, 8Hope Center for Neurological Disorder, Washington University, St. Louis, MO, United States

We demonstrate diffusion MRI histology (D-Histo) is able to detect, differentiate and quantify various co-existing pathologies and structures including tumor, tumor infiltration, necrosis within human brain tumor specimen while conventional MRI and DTI fails. Quantitative maps of H & E and GFAP were generated and co-registered with D-Histo for voxel-wise correlative analysis. D-Histo-derived restricted-isotropic-diffusion fraction correlated with the area of hematoxylin and GFAP positive stain. D-Histo-derived hindered-isotropic-diffusion fraction successfully predicted the distribution of tumor necrosis corresponding with H & E. D-Histo is promising for brain tumor diagnosis, surgical planning, and treatment response monitoring.

625
17:15
Effects of AIF Quantification Variations on Shutter-Speed Pharmacokinetic Modeling of Prostate DCE-MRI Data: A Multicenter Data Analysis Challenge, Part II
Wei Huang1, Yiyi Chen1, Andriy Fedorov2, Xia Li3, Guido Jajamovich4, Dariya Malyarenko5, Madhava Aryal5, Peter LaViolette6, Matthew Oborski7, Finbarr O'Sullivan8, Richard Abramson9, Kourosh Jafari-Khouzani10, Aneela Afzal1, Alina Tudorica1, Brendan Moloney1, Sandeep Gupta3, Cecilia Besa4, Jayashree Kalpathy-Cramer10, James Mountz7, Charles Laymon7, Mark Muzi11, Paul Kinahan11, Kathleen Schmainda6, Yue Cao5, Thomas Chenevert5, Bachir Taouli4, Thomas Yankeelov12, Fiona Fennessy2, and Xin Li1

1Oregon Health & Science University, Portland, OR, United States, 2Brigham and Women's Hospital, 3GE Global Research, 4Icahn School of Medicine at Mt Sinai, 5University of Michigan, 6Medical College of Wisconsin, 7University of Pittsburgh, 8University College, 9Vanderbilt University, 10Massachusetts General Hospital, 11University of Washington, 12The University of Texas at Austin

Prostate tumor DCE-MRI data sets from 11 patients were shared among nine institutions, which determined AIFs using site-specific methods.  The managing center performed pharmacokinetic data analysis using the Shutter-Speed model and these AIFs, and their scaled variants obtained with the reference-tissue method.  Among the estimated parameters, Ktrans has the highest whereas τi has the lowest variability due to AIF uncertainty.  The use of reference-tissue-adjusted AIFs reduces parameter variations.  kep and τi are nearly insensitive to AIF scaling, suggesting that they may be robust imaging biomarkers in multicenter DCE-MRI trials where accurate and consistent AIF determination may be unattainable across sites.


626
17:27
DCE time-series characterization with supervised deep learning: Alternative to PK model approaches
Dattesh D Shanbhag1, Vivek Vaidya1, Uday Patil1, Sandeep N Gupta2, and Rakesh Mullick1

1GE Global Research, Bangalore, India, 2GE Global Research, Niskayuna, NY, United States

We demonstrate feasibility of using a supervised deep learning method with DCE time-series data to obtain consistent numerical cutoff for tumor regions. DL based characterization is robust to fluctuations in DCE data due to protocol and patient physiology differences, which typically hinders such a classification with PK maps in clinical practice.

627
17:39
MRI Detection of Extramural Venous Invasion in Rectal Cancer: Correlation with Histopathology Utilizing Elastin Stain
Kartik Jhaveri1, Hooman Hosseini-Nik, Seng Thipphavong, Naziheh Assarzadegan, Ravi Menezes, Erin Kennedy, and Richard Kirsch

1UHN, University of Toronto, Toronto, ON, Canada

Extramural venous invasion (EMVI) in Rectal cancer is an independent predictor of local and distant recurrence, nodal disease and overall survival. Accurate preoperative EMVI detection has implications for treatment decisions. Previously, MRI has been evaluated for this purpose previously against histopathology with Hematoxylin-Eosin(HE) staining. Recently histopathology with Elastin stain has been recommended for EMVI detection given its 2-3-fold increase in accuracy and improved prognostication compared to HE stain. The diagnostic performance of MRI for EMVI detection compared to elastin stain based histopathology is unknown and in this study, we present our results to address this issue.

628
17:51
Quantifying microstructure changes in a mouse brain tumour model following Temozolomide therapy with VERDICT MRI
Thomas A Roberts1, Giulia Agliardi1, Ben Hipwell1, Angela D'Esposito1, Andrada Ianus2, James O Breen-Norris1, Valerie Taylor1, Mark F Lythgoe1, Bernard Siow1, Eleftheria Panagiotaki2, Daniel C Alexander2, and Simon Walker-Samuel1

1Centre for Advanced Biomedical Imaging, University College London, London, United Kingdom, 2Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom

In this study, we use VERDICT (Vascular, Extracellular and Restricted Diffusion for Cytometry in Tumours) MRI to assess longitudinal changes in the microstructure of a mouse model of glioma (GL261), following treatment with Temozolomide, an alkylating chemotherapeutic agent. VERDICT estimates of cell radius and intracellular volume fraction decreased significantly at day-6 of therapy, relative to control animals, and in advance of changes in tumour volume and ADC. These changes were consistent with histological changes measured in the same tumours, and are likely to correspond to microstructural changes induced by apoptosis.

629
18:03
Optimization of mpMRI protocol in differentiating muscle-invasive from non-muscle invasive Bladder Cancer:  is there room for Diffusion Tensor Imaging (DTI)?
Giovanni Barchetti1, Marcello Grompone1, Maurizio Del Monte1, Davide Carano1, Carlo Catalano1, and Valeria Panebianco1

1Department of Radiological Sciences, Sapienza University of Rome, Rome, Italy

Staging of BCa is critical, especially in differentiating non-invasive from muscle infiltrative lesions, as patient management strongly differs according to stage. Currently, patients with bladder lesions undergo two invasive procedures to diagnose and eventually treat the tumor if it is superficial. In this study we showed that mp-MRI has high capability for differentiating superficial from deep lesions, thanks also to DTI ability to directly visualize detrusor muscle layers. Mp-MRI could therefore be included systematically in the diagnostic evaluation of patients with suspicious bladder lesions in order to possibly avoid the first diagnostic cystoscopy once detrusor muscle invasion has been excluded.


Oral

CV Innovations: New Methods & Image Processing

Room 320 Tuesday 16:15 - 18:15 Moderators: Giulia Ginami & Sebastian Kozerke

630
16:15
Hyperpolarized [1,4-13C2]Fumarate is a probe of necrosis in myocardial infarction
Jack Julian James Jenkins Miller1,2,3, Angus Zoen Lau1,4, Giles McMullen-Klein1, Andrew Lewis1, Vicky Ball1, Carolyn Carr1, Ferdia Gallagher5, Damian John Tyler1,2, and Marie Schroder6

1Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, United Kingdom, 2Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford, United Kingdom, 3Department of Physics, University of Oxford, Oxford, United Kingdom, 4Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 5Department of Radiology, University of Cambridge, Cambridge, United Kingdom, 6MR Centret, Århus University Hospital, Skejby, Denmark

Previous work has shown that hyperpolarized [1,4-13C2]fumarate is a probe of cellular necrosis. We demonstrate here that the ratio of cardiac hyperpolarized malate to fumarate is increased by a factor of $$$\sim$$$82 one day after cryoinduced myocardial infarction in rats, decreasing to an $$$\sim$$$30-fold increase one week after injury. We additionally image this injury with a novel spiral multiband pulse sequence. Hyperpolarized fumarate therefore forms a sensitive probe of myocardial injury in vivo, and could form a clinical monitor of cellular damage and necrosis after infarction. 

631
16:27
Accelerated Cine Imaging of the Heart using Blipped Multiband SSFP
Anthony N Price1, Lucilio Cordero-Grande1, Shaihan J Malik1, and Joseph V Hajnal1

1Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom

Multiband accelerated cine SSFP of the heart is demonstrated using blipped gradients for controlled aliasing of simultaneous slices. The benefit of using this method over the more complex phase cycling RF multiband pulse sets is that the frequency response, and thus banding artefacts, remain unchanged. Here we demonstrate up to MB4 acceleration of full short-axis stacks, sufficient to cover the left ventricle within a single breath-hold.

632
16:39
Improved Whole-Heart Coronary MR Angiography Using a 3D Cones Phyllotaxis Sequence
Mario O. Malavé1, Corey A. Baron1, Nii Okai Addy1, Joseph Y. Cheng2, Bob S. Hu1,3, Phillip C. Yang4, and Dwight G. Nishimura1

1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States, 3Cardiology, Palo Alto Medical Foundation, Palo Alto, CA, United States, 4Cardiovascular Medicine, Stanford University, Stanford, CA, United States

We have developed a 3D cones alternating-TR steady state free precession (SSFP) sequence for whole-heart coronary MR angiography (CMRA). In this study, we compare motion artifacts and coronary image quality between a sequential-cones and phyllotaxis-cones sequence. Coronary image quality was analyzed using qualitative scores obtained through blinded reading by two board-certified cardiologists, and the IEPA vessel sharpness metric. The results of the study show that the phyllotaxis-cones acquisition can alleviate motion artifacts, improve qualitative image quality scores and increase coronary vessel sharpness.

633
16:51
Automated Heartbeat Detection for Self-Gated Fetal Cardiac MRI
Robin Demesmaeker1, Tobias Kober1,2,3, Jérôme Yerly3,4, Jérôme Chaptinel3, Milan Prsa5, Yvan Mivelaz5, Leonor Alamo3, Yvan Vial6, Gregoire Berchier3, Chantal Rohner3, Matthias Stuber3,4, and Davide Piccini1,2,3

1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 2LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 3Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 4Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 5Department of Pediatrics, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 6Department of Gynecology-Obstetrics, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland

Fetal cardiac cine MRI requires an MRI-based cardiac gating signal since recording a fetal ECG is fraught with significant challenges. Existing approaches usually extract the signal from real-time image series and mandate semi-manual user interaction. However, these give often inconsistent results or suffer from reduced spatio-temporal resolution. We propose a novel algorithm which automatically localizes the fetal heart on real-time low-resolution images, and provides a precise frequency estimate of the cardiac motion signal that can be used for gating. We show that this automated method leads to images with equal or better quality than those obtained with the manual approach.

634
17:03
Automated Left Ventricular Volumetric Quantitation from Short-axis CMR Images with Machine Learning using a Deep Convolutional Neural Network
James W Goldfarb1, Jie J Cao1, and Julian de Wit2

1St Francis Hospital, Roslyn, NY, United States, 2DWS Systems, Hoek van Holland, Netherlands

Automatic segmentation of the LV bloodpool using deep learning with a convolutional neural network is a promising, accurate and efficient method for segmentation of cardiac MR images. Although there were a few cases with inaccurate results, "big fails", accuracy is high, R2=0.93 and ejection fraction error ~4%. In the future it may provide a customizable, fast and accurate method for comprehensive evaluation of cardiac MR images.

635
17:15
DeepVentricle: A Fully Convolutional Neural Network for Automating Functional Measurements in Cardiac MR
Hok Kan Lau1, Jesse Lieman-Sifry1, Matthieu Le1, Sean Sall1, John Axerio-Cilies1, Dominik Fleischmann2, Aya Kino3, Frandics Chan2, and Daniel Golden1

1Arterys, Inc, San Francisco, CA, United States, 2General Radiology, Stanford University School of Medicine, Stanford, CA, 3Radiology, Stanford University School of Medicine, Stanford, CA

We present DeepVentricle, an automated approach to ventricular segmentation in cardiac MR. DeepVentricle uses a fully convolutional neural network to simultaneously perform semantic segmentation of the left ventricle (LV) and right ventricle (RV) endocardium, and LV epicardium; segmentations are then used to estimate ejection fraction and myocardial mass. We show that the error rates of LV ejection fraction and mass are within the expected range of expert annotator inter-rater variation. This suggests that contours calculated using DeepVentricle could be useful on their own or as an initial estimate for clinicians as part of their semi-automated annotation workflow.

636
17:27
Using transient intrinsic torsional shear wave propagation to measure Left Ventricular Myocardial stiffness with a 2D pencil beam navigator at 0.5ms temporal resolution: Initial results from phantom studies and volunteers
Jessica Webb1,2, Jurgen Runge1,3, Jordi Martorell4, Gerald Carr-White1,2, Reza Razavi1,2, David Nordsletten1, and Ralph Sinkus1

1Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom, 2Department of Cardiology, Guys and St Thomas' NHS Trust, London, United Kingdom, 3Department of Radiology, Academic Medical Center, Amsterdam, Netherlands, 4Department of Chemical Engineering, Universitat Ramon Llull, Barcelona, Spain

Heart Failure with preserved Ejection Fraction is common, associated with high morbidity and mortality, and is challenging to diagnose. We have developed a novel patient friendly non-invasive technique to quantify myocardial stiffness using transient MR Elastography. Aortic valve closure results in a shear wave propagating through the myocardium. The torsional wave propagation can be visualised using a 2D pencil beam navigator positioned along the myocardium, using four breath holds each 15 seconds. With a temporal resolution of 0.5ms this technique can be used in all patients in sinus rhythm. Increased myocardial stiffness results in increased speed of shear wave propagation. 

637
17:39
Time Resolved In Vivo Myofiber Orientations from Combined Cardiac DENSE and cDTI
Patrick Magrath1,2, Luigi E. Perotti 1,2, Eric Aliotta 2,3, Ilya A. Verzhbinsky 2, Kévin Moulin2, and Daniel B. Ennis1,2,3

1Department of Bioengineering, University of California, Los Angeles, CA, United States, 2Department of Radiological Sciences, University of California, Los Angeles, CA, United States, 3Biomedical Physics IDP, University of California, Los Angeles, CA, United States

Resolving the dynamics of cardiac myofiber orientations with cDTI could have significant value in the assessment of cardiac disease. Unfortunately, cDTI measurements are not reliable at all cardiac phases and would require extremely long acquisitions. Fusing cDTI with time-resolved displacement maps from cine DENSE could enable evaluation of the dynamics of myofiber orientations using cDTI obtained at a single cardiac phase. The objective of this study was to generate dynamic myocardial fiber maps and validate the approach with dual-phase cDTI measurements.

638
17:51
3D True Polarity Recovery with Independent Phase Estimation Using Multi-layer Stacks Based Region-Growing (3D-TRIPS)
Haining Liu1, Gregory J Wilson2, Niranjan Balu2, Jeffery H Maki2, Martin L Gunn2, Hiroko Watase2, Daniel S Hippe2, and Chun Yuan2

1Department of Bioengineering, University of Washington, Seattle, WA, United States, 2Department of Radiology, University of Washington, Seattle, WA, United States

3D whole heart phase sensitive late gadolinium enhanced (LGE) imaging can improve myocardial scar detection. Phase sensitive inversion recovery (PSIR) LGE is sub-optimal for clinical 3D application as it  doubles the scan time with a fully sampled reference image. To address this, we develop 3D True Polarity Recovery with Independent Phase Estimation Using Multi-layer Stacks Based Region-Growing (3D-TRIPS) for direct reconstruction of 3D phase sensitive images without need for a separate reference scan. We demonstrate that 3D-TRIPS images shows good agreement and less artifacts compared with PSIR images. 3D-TRIPS will allow 3D-LGE imaging with half the scan time of PSIR.

639
18:03
Dark-Blood Late Gadolinium Enhanced MRI: A Novel Method without Additional Magnetization Preparation for Improved Myocardial Scar Detection
Robert J Holtackers1, Amedeo Chiribiri1, David M Higgins2, and Rene M Botnar1

1Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 2Philips, Guildford, United Kingdom

Late gadolinium enhanced (LGE) MRI often suffers from poor scar-to-blood contrast when used for detection of endocardial scar due to the bright signal of adjacent blood. We report a method that significantly reduces left ventricular blood signal by setting a shorter inversion time in combination with a phase-sensitive inversion recovery (PSIR) sequence. Nulling the left ventricular blood signal with PSIR significantly increases scar-to-blood contrast since blood signal and scar signal no longer have similar signal levels. As no additional magnetization preparation is used, clinical application on current MR systems is readily available without the need for software modifications or additional training.


Combined Educational & Scientific Session

Learning Image Reconstruction: Will Neural Networks Change Everything?

Organizers: Garry E. Gold, M.D., Daniel K. Sodickson, M.D., Ph.D.

Room 311 Tuesday 16:15 - 18:15 Moderators: Mehmet Akcakaya & Martin Uecker

16:15
A Primer on AI: How Deep Learning is Changing Everything
Krzysztof J. Geras1

1New York University


16:45
Leveraging the Potential of Neural Networks for Image Reconstruction
Florian Knoll1,2

1Radiology, NYU, New York, NY, United States, 2CAI2R, NYU, New York, NY, United States

This talk will provide an introduction to the use of machine learning and neural networks in the field of MR image reconstruction. We will use the example of reconstruction from undersampled data from accelerated acquisitions throughout the talk and will base our formulation on iterative reconstruction methods as used in compressed sensing (CS). We will formulate a network architecture based reconstruction that can be seen as a generalization of CS, and explain how we can learn an entire image reconstruction procedure. Using selected examples, we will discuss both advantages and challenges, covering topics like reconstruction time, design of the training procedure, error metrics and training efficiency and validation of image quality.

640
17:15
Neural Network MR Image Reconstruction with AUTOMAP: Automated Transform by Manifold Approximation
Bo Zhu1,2,3, Jeremiah Z. Liu1,4, Bruce R. Rosen1,2, and Matthew S. Rosen1,2,3

1A.A. Martinos Center for Biomedical Imaging, Dept. of Radiology, Massachusetts General Hospital, Boston, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Dept. of Physics, Harvard University, Cambridge, MA, United States, 4Department of Biostatistics, Harvard University, Boston, MA, United States

It has been widely observed that real-world data presented in high dimensional space tend to lie along a nonlinear manifold with much lower dimensionality. The reduced dimensionality manifold captures intrinsic data properties such as sparsity in a transform domain. We describe here an automated neural network framework that exploits the universal function approximation of multilayer perceptron regression and the manifold learning properties demonstrated by autoencoders to enable a new robust generalized reconstruction methodology. We demonstrate this approach over a variety of MR image acquisition strategies, showing excellent immunity to noise and acquisition artifacts.

641
17:27
Compressed sensing and Parallel MRI using deep residual learning
Dongwook Lee1, Jaejun Yoo1, and Jong Chul Ye1

1Korea Advanced Institute of Science and Technology, Daejeon, Korea, Republic of

A deep residual learning algorithm is proposed to reconstruct MR images from highly down-sampled k-space data. After formulating a compressed sensing problem as a residual regression problem, a deep convolutional neural network (CNN) was designed to learn the aliasing artifacts. The residual learning algorithm took only 30-40ms with significantly better reconstruction performance compared to GRAPPA and the state-of-the-art compressed sensing algorithm, ALOHA.


642
17:39
1D Partial Fourier Parallel MR imaging with deep convolutional neural network
Shanshan Wang1, Ningbo Huang1,2, Tao Zhao1,3, Yong Yang2, Leslie Ying4, and Dong Liang1

1Paul C. Lauterbur Research Center for Biomedical Imaging, SIAT, Chinese Academy of Sciences, Shenzhen, People's Republic of China, 2School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, People's Republic of China, 3College of Mining and Safety Engineering, Shandong University of Science and Technology, Qingdao, People's Republic of China, 4Department of Biomedical Engineering and Department of Electrical Engineering, The State University of New York, NY, United States

This paper develops a multi-coil SuperCNN network for 1D Partial Fourier Parallel MR imaging. With the utilization of enormous existing undersampled multi-channel images as inputs and their corresponding square root of sum-of-squares of images obtained from the fully sampled data as labels, the network is trained to identify the nonlinear mapping relationship and then performed as a predicator to reconstruct the online MR images. Experimental results on an in vivo dataset show that the proposed multi-coil SuperCNN is able to reconstruct more accurate MR images in less time compared to GRAPPA and SPIRiT from the same amount of undersampled data.

643
17:51
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction
Jo Schlemper1, Jose Caballero, Joseph V. Hajnal2, Anthony Price2, and Daniel Rueckert3

1Department of Computing, Imperial College London, London, United Kingdom, 2King's College London, 3Imperial College London

The acquisition of Magnetic Resonance Imaging (MRI) is inherently slow. Inspired by recent advances in deep learning, we propose a framework for reconstructing MRI images from undersampled data using a deep cascade of convolutional neural networks. We show, for Cartesian undersampling of 2D cardiac MR images, the proposed deep learning reconstruction method outperforms the state-of-the-art compressed sensing approaches, such as dictionary learning-based MRI (DLMRI) reconstruction, both in terms of reconstruction error, the perceptual quality and the reconstruction speed for 4-fold and 8-fold undersampling. 

644
18:03
On the Influence of Sampling Pattern Design on Deep Learning-Based MRI Reconstruction
Kerstin Hammernik1, Florian Knoll2,3, Daniel K Sodickson2,3, and Thomas Pock1,4

1Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria, 2Center for Biomedical Imaging and Center for Advanced Imaging Innovation and Research (CAI2R), NYU School of Medicine, New York, NY, United States, 3Department of Radiology, NYU School of Medicine, New York, NY, United States, 4Safety & Security Department, AIT Austrian Institute of Technology GmbH, Vienna, Austria

In this work, we address the question if variable density sampling of 2D Cartesian knee sequences can improve deep learning-based MRI reconstruction. Our results suggest that incoherent artifacts introduced by variable density sampling are beneficial to reconstruct highly accelerated sequences. Additionally, we show that our learning-based approach for regular sampling improves reconstruction results compared to classical compressed sensing methods with variable density sampling for our target application.


Electronic Poster: Ad Hoc

Exhibition Hall Tuesday 17:15 - 18:15 (no CME credit)

Other

Bronze Corporate Evening Symposium: Bracco

Tuesday 18:30 - 20:30 (no CME credit)



Wednesday, 26 April 2017

Go to top
Sunrise Session

Cardiovascular MR: "More is Better": More Speed

Organizers: Sonia Nielles-Vallespin, Ph.D., Daniel K. Sodickson, M.D., Ph.D. & Bernd J. Wintersperger, M.D.

Room 310 Wednesday 7:00 - 7:50 Moderators: Giulia Ginami & Daniel Herzka

7:00
Hardware & Software for Rapid Image Reconstruction
Adrienne Campbell-Washburn

7:25
Rapid Continuous Acquisition
Li Feng

7:50
Adjournment & Meet the Teachers


Sunrise Session

Hyperpolarization & MR Applications

Organizers: Sebastian Kozerke, Ph.D. & Greig C. Scott, Ph.D.

Room 311 Wednesday 7:00 - 7:50 Moderators: James Bankson & Jessica Bastiaansen

7:00
Hyperpolarization - Description, Overview & Method
Peder Larson

7:25
Hyperpolarization - Clinical Potential & Relevance
Marie Schroeder

7:50
Adjournment & Meet the Teachers


Sunrise Session

MR Imaging of Small Joints: Fingers & Toes

Organizers: Jenny T. Bencardino, M.D., Eric Y. Chang, M.D., Christine Chung, M.D. & Philip Robinson, M.D.

Room 312 Wednesday 7:00 - 7:50 Moderators: Kimberly Amrami & Edwin Oei

7:00
MR of Finger Injuries
Catherine Petchprapa

7:25
Turf Toe & Lesser Metatarsal Joints
Jana Crain

7:50
Adjournment & Meet the Teachers


Sunrise Session

Gadolinium in MSK Imaging

Organizers: Jenny T. Bencardino, M.D., Eric Y. Chang, M.D., Christine Chung, M.D. & Philip Robinson, M.D.

Room 313A Wednesday 7:00 - 7:50 Moderators: Jung-Ah Choi & Mark Schweitzer

7:00
Gadolinium in MSK Imaging: Technical Aspects
Michael Tweedle

7:25
Contrast Enhanced MRI of the MSK System: How & When?
Jung-Ah Choi

7:50
Adjournment & Meet the Teachers


Sunrise Session

Individualized Brain MRI: Single-Subject Analysis

Organizers: Christopher P. Hess, M.D., Ph.D.

Room 313BC Wednesday 7:00 - 7:50 Moderators: Thijs Dhollander & Dan Wu

7:00
Methods for Single Subject Brain Analysis
Duygu Tosun

7:25
Atlas-Based Analysis – from Talairach to Adaptive
Andreia Faria

7:50
Adjournment & Meet the Teachers


Sunrise Session

MRI Assessment in Monitoring Cancer Therapy

Organizers: Linda Moy, M.D. & Valeria Panebianco, M.D.

Room 314 Wednesday 7:00 - 7:50 Moderators: Sungehon Gene Kim & Valeria Panebianco

7:00
Multiparametric MRI for Tumor Therapy Response
Anwar Padhani

7:25
Sarcoma Imaging
Laura Fayad

7:50
Adjournment & Meet the Teachers


Sunrise Session

It Doesn’t Have to Be That Way: Information & Diagnosis

Organizers: Michael S. Hansen, Ph.D. & Joshua D. Trzasko, Ph.D.

Room 315 Wednesday 7:00 - 7:50 Moderators: Michael Hansen & Sebastian Kozerke

7:00
Artifact to Information using Structured Low Rank Matrix Completion
Jong Chul Ye

7:25
Computer Assisted Diagnosis
Alistair Young

7:50
Adjournment & Meet the Teachers


Sunrise Session

Dynamic Functional Connectivity MRI: Approaches & Mechanisms

Organizers: Hanzhang Lu, Ph.D. & Jay J. Pillai, M.D.

Room 316A Wednesday 7:00 - 7:50 Moderators: Peiying Liu & Jeroen Siero

7:00
Dynamic fcMRI: Approaches
Xiao Liu

7:25
Dynamic fcMRI: Mechanisms & Applications
Silvina Horovitz

7:50
Adjournment & Meet the Teachers


Sunrise Session

Clinical Applications of PET-MRI in Body Imaging

Organizers: Kathryn Fowler, M.D., Kartik Jhaveri, M.D., F.R.C.P.C., Lorenzo Mannelli, M.D., Ph.D. & Edwin J.R. van Beek, M.D., Ph.D., M.Ed., FRCR

Room 320 Wednesday 7:00 - 7:50 Moderators: Hersh Chandarana & Lorenzo Mannelli

7:00
Challenges-MRAC & Motion Correction
Alan McMillan

7:25
Current Clinical Applications & Novel Tracers, Future Directions
Thomas Hope

7:50
Adjournment & Meet the Teachers


Traditional Poster: Body: Breast, Chest, Abdomen, Pelvis

Exhibition Hall 1990-2030 Wednesday 8:15 - 10:15 (no CME credit)

Electronic Poster: Neuro

Exhibition Hall Wednesday 8:15 - 9:15 (no CME credit)

Study Groups

Electro-Magnetic Tissue Properties (SWI) Study Group

Room 323ABC Wednesday 8:15 - 10:15 (no CME credit)


Study Groups

Current Issues in Brain Function Study Group

Room 317AB Wednesday 8:15 - 10:15 (no CME credit)


Educational Course

Prototype to Product: Pathways to Commercialization

Organizers: Priti Balchandani, Ph.D. & Elena A. Kaye, Ph.D.

Room 315 Wednesday 8:15 - 10:15 Moderators: Rebecca Rakow-Penner & Matthew Robson

8:15
Historical Perspective
Manojkumar Saranathan


8:30
Case Study: FOCUS
Emine Ulku Saritas1,2,3

1Electrical & Electronics Engineering, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey, 3Neuroscience Program, Sabuncu Brain Research Center, Bilkent University, Ankara, Turkey

FOCUS is the product name for the technique that achieves reduced FOV imaging using a 2D spatially selective RF excitation. This technique provides increased image resolution while significantly reducing off-resonance induced artifacts for single-shot echo planar imaging (ssEPI) in diffusion weighted imaging (DWI). This presentation will cover the technical details and the product development stages of FOCUS.

8:45
Simultaneous Multislice
Kawin Setsompop

This talk outlines the path to commercialization of “Simultaneous MultiSlice EPI acquisition with blipped-CAIPI”; a technology that is now being used widely for diffusion, fMRI and perfusion imaging. Historical perspective, and key developments and insights important for the commercialization of this sequence will be described, along with key lessons learned. 

9:00
Case Study: Skope
Christoph Barmet


9:15
Adoption & Commercialization of the Novel Techniques: Vendors' Perspective
Anja Brau


9:15
Adoption & Commercialization of the Novel Techniques: Vendors' Perspective
Holger Eggers1

1Philips Research, Hamburg, Germany

Numerous MR image acquisition and reconstruction methods are devised each year, notably by re­searchers in academia. Only a few of them can be commercialized by industry, a prerequisite for them to become available on many MR scanners and to have significant impact on clinical care. In this presentation, some of the main criteria applied in this selection process and some of the key steps involved in the subsequent development process are outlined. In addition, some subjective suggestions are made to researchers interested in improving the chances of success of their methods in this respect.

9:15
Adoption & Commercialization of the Novel Techniques: Vendors' Perspective
Andreas Greiser1, Edgar Mueller1, and Lars Lauer1

1Siemens Healthineers, Erlangen, Germany

Siemens Healthineers is the MRI vendor with the largest market share in MR. Our main goal is to facilitate advances by providing a reliable platform for MR applications and research to generate added value to users and patients. Here we want to outline important criteria to leverage product integration of new methods and trends. Using prototypes, multi-center testing can be employed to validate new methods. Based on collaboration, a Works-in-Progress can be developed for wider validation and as input for productization. Siemens Healthineers just recently reemphasized its commitment to actively support 3rd-party integration as integral part of clinical solutions.

9:15
Adoption & Commercialization of the Novel Techniques: Vendors' Perspective
Mitsue Miyazaki1

1Toshiba Medical Research Institution, IL, United States

The experience of commercializing a non-contrast MRA technique, named fresh blood imaging (FBI) into Toshiba product is introduced. 

9:45
Panel Discussion

10:15
Adjournment & Meet the Teachers


Educational Course

MR Physics & Techniques for Clinicians

Organizers: Marcus T. Alley, Ph.D. & Bernd Jung, Ph.D.

Room 316BC Wednesday 8:15 - 10:15 Moderators: Marcus Alley & Daniel Gallichan

8:15
Diffusion & Perfusion Weighted Imaging
Samantha J Holdsworth1

1Lucas Center for Imaging, Department of Radiology, Stanford University, Stanford, CA, United States

This lecture is devoted to the basic technological aspects of diffusion-weighted imaging (DWI) and perfusion-weighted imaging (PWI), using neuroimaging applications as examples, and with the concepts explained with minimal use of equations. 

8:55
Parallel Imaging
Katherine Wright1

1Case Western Reserve University

This review of parallel imaging techniques will focus on learning basic principles and its clinical use. Specifically, we will discuss how data are accelerated, and the resulting aliasing artifacts that occur. We will explore how coil sensitivities and parallel imaging reconstruction methods can be used to reconstruct undersampled data. Lastly, we will review clinical applications of parallel imaging.

9:35
MR Angiography
Oliver Wieben1

1Depts. of Medical Physics & Radiology, University of Wisconsin-Madison, Madison, WI, United States

Traditional clinical MR Angiography (MRA) provides volumetric datasets to characterize the vessel lumen. These MRA techniques can be generally separated into two categories: contrast-enhanced MRA, which requires the venous injection of a paramagnetic contrast agent in form of a Gadolinium (Gd) chelate and non-contrast-enhanced MRA (NCE MRA), which relies on signal properties of the blood or the motion of the blood to create signal differences between the blood pool and the surrounding tissues. The underlying contrast mechanisms of contrast-enhanced (CE MRA), time-of-flight, phase-contrast, and balanced steady state free precession (bSSFP) MRA  will be discussed including recent developments in accelerated dynamic contrast-enhanced MRA (CE-MRA), the use of iron-based contrast agents, and velocity-encoded MRI.

10:15
Adjournment & Meet the Teachers


Power Pitch

Pitch: Marching on Musculoskeletal

Power Pitch Theater A - Exhibition Hall Wednesday 8:15 - 9:15 Moderators: Hongyu An & Catalina Arteaga de Castro (no CME credit)

645
8:15
Accelerated knee imaging using a deep learning based reconstruction
Florian Knoll1,2, Kerstin Hammernik3, Elisabeth Garwood1,2, Anna Hirschmann4, Leon Rybak1,2, Mary Bruno1,2, Tobias Block1,2, James Babb1,2, Thomas Pock3,5, Daniel K Sodickson1,2, and Michael P Recht1,2

1Radiology, NYU, New York, NY, United States, 2CAI2R, NYU, New York, NY, United States, 3Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria, 4Radiology, University Hospital Basel, Basel, Switzerland, 5Austria Safety & Security Department, AIT Austrian Institute of Technology GmbH, Vienna, Austria

646
8:15
Anterior Tibial Translation Following ACL Reconstruction is Associated with Postsurgical Cartilage Matrix Changes.
Alan K Li1, Valentina Pedoia 2, Keiko Amano2, Jonathan Ochoa2, Qi Li 2, Benjamin Ma2, and Xiaojuan Li2

1University of California, Berkeley, Berkeley, CA, United States, 2University of California, San Francisco, San Francisco, CA, United States

647
8:15
Longitudinal characterization of deformation-induced skeletal muscle damage by T2-mapping, DWI and MRE
Jules L. Nelissen1,2, Willeke A. Traa3, Larry de Graaf1, Cees W. J. Oomens3, Jurgen H. Runge4,5, Ralph Sinkus4, Klaas Nicolay1, Aart J. Nederveen5, Martijn Froeling6, and Gustav J. Strijkers2

1Biomedical NMR, Eindhoven University of Technology, Eindhoven, Netherlands, 2Preclinical and Translational MRI, Academic Medical Center, Amsterdam, Netherlands, 3Biomechanics of Soft Tissues, Eindhoven University of Technology, Eindhoven, Netherlands, 4Division of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom, 5Radiology, Academic Medical Center, Amsterdam, Netherlands, 6Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands

648
8:15
Age Related Differences in Shear Strain in Medial Gastrocnemius: Implications for Lateral Transmission of Force
Vadim Malis1, Usha Sinha2, Robert Csapo3, and Shantanu Sinha3

1Physics, UC San Diego, San Diego, CA, United States, 2Physics, San Diego State University, San Diego, CA, United States, 3Radiology, UC San Diego, San Diego, CA, United States

649
8:15
Metal Artifact Reduction MRI for the Assessment of the Rotational Alignment Knee Arthroplasty Implants: Compressed Sensing SEMAC TSE versus High-Bandwidth TSE
Filippo Del Grande1,2, Benjamin Fritz3, Satre Stuelke4, Steven E Stern5, Susanne Bensler3, and Jan Fritz1

1Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Radiology, Ospedale Regionale di Lugano, Lugano, Switzerland, 3Radiology, Orthopedic University Hospital Balgrist, Zurich, Switzerland, 4Radiology, The Johns Hopkins University School of Medicine, Baltimore, MD, 5Queensland University of Technology

650
8:15
Ability of MAVRIC MRI to Predict Component Loosening in Total Hip Arthroplasty
Alissa Jo Burge1, Gabrielle P Konin1, Jennifer Berkowitz1, Matthew Koff1, Douglas Padgett2, and Hollis Potter3

1Radiology and Imaging, Hospital for Special Surgery, New York, NY, United States, 2Adult Reconstruction and Joint Replacement, Hospital for Special Surgery, New York, NY, United States, 3Hospital for Special Surgery, New York, NY, United States

651
8:15
Simultaneous multi-slice TSE for clinical MR Imaging of lesions in the knee
Xiaona Li1, Zhigang Peng1, Yi Sun2, Panli Zuo2, Dingxin Wang3, and Jianling Cui1

1Radiology, the Third Hospital of Henbei Medical University, Shijiazhuang, People's Republic of China, 2MR Collaboration NE Asia, Siemens Healthcare, Shang Hai, People's Republic of China, 3Siemens Medical Solutions USA, Inc., Minneapolis, MN, United States

652
8:15
Simultaneous T2 Relaxometry and Morphometry of Cartilage and Meniscus with Double-Echo in Steady-State in Five Minutes
Akshay S Chaudhari1, Marianne S Black1, Bragi Sveinsson1, Garry E Gold1, and Brian A Hargreaves1

1Radiology, Stanford University, Stanford, CA, United States

653
8:15
Soft Tissue Tumors: Use of Intravoxel Incoherent Motion MR Imaging for Assessment of Diffusion and Perfusion for the Differentiation of Benign from Malignant Tumors
Haijun Wu1 and Changhong Liang1

1Department of Radiology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China

654
8:15
1-year Follow-Up of T1ρ for Assessing Radiocarpal Cartilage Matrix Changes after Anti-TNF treatment for Rheumatoid Arthritis: Preliminary Results
Eric Ku1, Valentina Pedoia1, Matthew Tanaka1, Hyo Jin Choi1, Ursula Heilmeier1, Andrew Burghardt1, Jonathan Graf2, John Imboden2, Thomas Link1, and Xiaojuan Li1

1Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 2Department of Medicine, UCSF, San Francisco, CA, United States

655
8:15
Simultaneous Multi-Slice Accelerated High Resolution MRI of the Knee: Comparison with In-plane Parallel Imaging Acceleration
Jan Fritz1, Benjamin Fritz2, Jialu Zhang3,4, Dharmdev H Joshi1, Gaurav K Thawait1, Li Pan5, and Dingxin Wang3,5

1The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Orthopaedic University Hospital Balgrist, 3University of Minnesota, 4Zhejiang University, 5Siemens Healthcare USA

656
8:15
New insights into the predilection sites of Juvenile Osteochondritis Dissecans using Quantitative Susceptibility Mapping
Jutta Ellermann1, Casey P Johnson2, Luning Wang3, Ferenc Toth4, Kevin Shea5, Cathy Carlson6, and Mikko J Nissi7,8

1Radiology, University of Minnesota, Minneapolis, MN, United States, 2Radiology, CMRR, University of Minnesota, 3University of Minnesota, 4College of Veterinary Medicine, University of Minnesota, 5St. Lukes Orthopaedics, Boise, ID, 6College of Veterinary Medicine, University of Minnesota, St. Paul, MN, 7Department of Applied Physics, University of Eastern Finland, 8Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland

657
8:15
Pile up correction for 3D-Multi Spectral Imaging using Gaussian Spectral Modeling and Bin Expansion
S Sivaram Kaushik1 and Kevin Koch2

1MR Applications and Workflow, GE Healthcare, Waukesha, WI, United States, 2Radiology, Medical College of Wisconsin, Milwaukee, WI, United States

658
8:15
Correlation Time Mapping of Articular Cartilage: correlation with tissue composition and structure
Hassaan Elsayed1,2, Stefan Zbyn2, Mikko J Nissi3,4, Jari Rautiainen1,2,3,5, Matti Hanni1,2,5, and Miika T Nieminen1,2,5

1Medical Research Center, University of Oulu and Oulu University Hospital, Oulu, Finland, 2Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland, 3Department of Applied Physics, University of Eastern Finland, Kuopio, Finland, 4Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland, 5Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland

659
8:15
Correlation of 7T gagCEST MRI with Electromechanical and Biochemical Properties of Femoral Articular Cartilage
Sander Brinkhof1, Razmara Nizak2, Sotcheadt Sim3, Vitaliy Khlebnikov1, Dennis Klomp1, and Daniel Saris2,4

1Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Orthopaedics, University Medical Center Utrecht, Utrecht, 3Biomomentum Inc., Laval, QC, Canada, 4MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, Netherlands


Power Pitch

Pitch: Cancer Imaging in the Body

Power Pitch Theater B - Exhibition Hall Wednesday 8:15 - 9:15 Moderators: Ruiliang Bai (no CME credit)

660
8:15
Interobserver Agreement and Diagnostic Performance of LI-RADS v2014 on contrast-enhanced MRI for non-HCC malignancies.
Natally de Souza Maciel Rocha Horvat1, Ines Nikolovski1, Niamh Long1, Scott Gerst1, Jian Zheng1, Linda Ma Pak1, Junting Zheng1, Lorenzo Mannelli1, and Richard Kinh Gian Do1

1Memorial Sloan Kettering Cancer Center, NY, NY, United States

661
8:15
Quantification of hepatocellular carcinoma tumor heterogeneity with multiparametric MRI
Stefanie Hectors1, Mathilde Wagner1, Octavia Bane1, Cecilia Besa1, Sara Lewis2, Romain Remark3, Nelson Chen1, M. Isabel Fiel4, Hongfa Zhu4, Sacha Gnjatic5, Miriam Merad3, Yujin Hoshida6, and Bachir Taouli1

1Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 5Oncological Science, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 6Department of Medicine/Division of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, United States

662
8:15
3D MR Elastograpy in Prediction of Tumor Capsule Formation of Hepatocellular Carcinoma (HCC) in Patients with Hepatitis B Virus Infection
Jin Wang1, Hao Yang1, Yong Liu2, Jingbiao Chen1, Tianhui Zhang1, Kevin J. Glaser3, Xin Li4, Jun Chen3, Yao Zhang1, Qungang Shan1, Bingjun He1, Zhuang Kang1, Yin Meng3, Dzyubak Bogdan3, Venkatesh SK3, Ronghua Yan1, Xi Long1, and Richard L. Ehman3

1Department of Radiology, the Third Affiliated Hospital, Sun Yat-sen University (SYSU), Guangzhou, People's Republic of China, 2Department of Pathology, the Third Affiliated Hospital, Sun Yat-sen University (SYSU), Guangzhou, People's Republic of China, 3Department of Radiology, Mayo Clinic, Rochester, United States, 4GE Healthcare MR Research China, Guangzhou, People's Republic of China

663
8:15
Dynamic Contrast Enhanced MR Imaging of Hepatopancreatobiliary lesions in Combined use of Parallel Imaging and Compressed Sensing
Takayuki Masui1, Motoyuki Katayama1, Yuji Iwadate2, Naoyuki Takei2, Kang Wang3, Kevin King4, Kei Tsukamoto1, Mitsuteru Tsuchiya1, Yuki Hayashi1, Masako Sasaki1, Takahiro Yamada1, Kenichi Mizuki1, Harumi Sakahara5, Koji Yoneyama1, and Yuki Takayanagi1

1Radiology, Seirei Hamamatsu General Hospital, Hamamatsu, Japan, 2Global MR Applications and Workflow, GE Healthcare Japan, Hino, Japan, 3Global MR Applications and Workflow, GE Healthcare, Madison, WI, United States, 4Global MR Applications and Workflow, GE Healthcare, Waukesha, WI, United States, 5Radiology, Hamamatsu University School of Medicine, Hamamatsu, Japan

664
8:15
Detection and measurement of neuroendocrine tumors liver metastases using Gd-EOB-DTPA enhanced MRI: comparison between multiple arterial phases, hepatobiliary phase, and DWI
Jia Xu1, Xuan Wang1, Hua dan Xue1, Shi tian Wang1, Hui Liu2, and Zheng yu Jin1

1Department of Radiology, Peking Union Medical College Hospital, Beijing, People's Republic of China, 2Siemens Ltd, Shanghai, People's Republic of China

665
8:15
Integrated slice-specific shimming (iShim) intravoxel incoherent motion diffusion-weighted MR imaging in the liver: the value of differential diagnosis between benign and malignant hepatic tumors
Hongxia Wang1, Qingbo Li2, Bin Wang3, Qinglei Shi4, Yan Feng1, Xingyue Jiang1, and Peigong Zhang3

1Radiology Department, Binzhou Medical University Hospital, Binzhou, People's Republic of China, 2Emergency Department, Binzhou People's Hospital, Binzhou, People's Republic of China, 3Binzhou Medical University, Yantai, People's Republic of China, 4MR Scientific NE Asia, Siemens Healthcare, Beijing, People's Republic of China

666
8:15
Quantitative texture feature to predict Microscopic portal vein invasion of Hepatocellular carcinoma with contrast-enhanced MR images
Wu Zhou1, Qiyao Wang1, Su Yao2, Guangyi Wang3, Zaiyi Liu3, Changhong Liang3, and Lijuan Zhang1

1Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People's Republic of China, 2Department of Pathology, Guangdong General Hospital, Guangdong Academy of Medical Sciences, 3Department of Radiology, Guangdong General Hospital, Guangdong Academy of Medical Sciences

667
8:15
Conductivity of different malignancy grades of invasive ductal carcinomas and fibroadenomas
Ulrich Katscher1, Mussa Gagiyev1, Naoko Mori2, Keiko Tsuchiya3, Jochen Keupp1, and Hiroyuki Abe4

1Philips Research Europe, Hamburg, Germany, 2Tohoku University, Sendai, Japan, 3Shiga University, Hikone, Japan, 4University of Chicago, IL, United States

668
8:15
A computer aided diagnosis (CAD) scoring tool: prostate cancer risk evaluation with PI-RADS v2 Guidelines
Lian Ding1, Ge Gao2, Yajing Zhang3, Chengyan Wang1, Jue Zhang1,4, Xiaoying Wang1,2, and Jing Fang1,4

1Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, People's Republic of China, 2Department of Radiology, Peking University Frist Hospital, Beijing, People's Republic of China, 3Philips Healthcare, Suzhou, China, Beijing, People's Republic of China, 4College of Engineering, Peking University, Beijing, People's Republic of China

669
8:15
Deep learning to improve prostate cancer diagnosis
Nikolaos Dikaios1, Edward W Johnston2, Harbir S Sidhu2, Mrishta B Appaya2, Alex Freeman3, Hashim U Ahmed4, and Shonit Punwani2

1Electrical Engineering, University of Surrey, Guildford, United Kingdom, 2Centre for Medical Imaging, University College London, 3Histopathology, University College London, 4Surgery and Interventional Science, University College London

670
8:15
Comparing the Diagnostic Accuracy of Luminal Water Imaging with Diffusion-Weighted and Dynamic Contrast-Enhanced MRI for Evaluation of Prostate Cancer.
Shirin Sabouri1, Silvia D Chang2,3,4, Richard Savdie2, Edward C Jones5, S. Larry Goldenberg2,3, Peter C Black2,3, and Piotr Kozlowski2,3,4,6

1Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 2Department of Urologic Sciences, University of British Columbia, Vancouver, BC, Canada, 3Vancouver Prostate Centre, Vancouver, BC, Canada, 4Department of Radiology, University of British Columbia, Vancouver, BC, Canada, 5Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 6UBC MRI Research Center, Vancouver, BC, Canada

671
8:15
Novel Informatics Modeling of Magnetic Resonance Imaging Metrics for Characterizing Prostate Lesions with Pathology Correlation.
Katarzyna J. Macura1,2, Vishwa Parekh3, Seyed Saeid 4, and Michael A. Jacobs1,2

1The Russell H. Morgan Dept of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Computer Science, The Johns Hopkins University, Baltimore, MD, United States, 4Dept of Radiology, University of Minnesota, Minneapolis, United States

672
8:15
Predictive Cytological Topography (PiCT): a Radiopathomics Approach to Mapping Prostate Cancer Cellularity
Amy Kaczmarowski1, Kenneth A Iczkowski2, Sarah L Hurrell1, Sean D McGarry1, Kenneth Jacobsohn3, William A Hall4, Mark Hohenwalter1, William See3, and Peter S LaViolette1

1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Pathology, Medical College of Wisconsin, Milwaukee, WI, United States, 3Urology, Medical College of Wisconsin, Milwaukee, WI, United States, 4Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States

673
8:15
Estimating breast tumor blood flow and blood volume using MRI: DCE vs IVIM
Leonidas Georgiou1, Nisha Sharma2, Daniel Wilson3, and David L Buckley1

1Division of Biomedical Imaging, University of Leeds, Leeds, United Kingdom, 2Department of Radiology, Leeds Teaching Hospital NHS Trust, 3Department of Medical Physics and Engineering, Leeds Teaching Hospital NHS Trust

674
8:15
Discrimination of Malignant versus Benign Mediastinal Lymph Nodes Using Diffusion MRI with An IVIM Analysis
Li-Ping Qi1,2, Wan-Pu Yan3, Ke-Neng Chen3, Zheng Zhong2,4, Kejia Cai2,5, Xiao-Ting Li1, Ying-Shi Sun1, and Xiaohong Joe Zhou2,6

1Radiology, Peking University Cancer Hospital and Institute, Beijing, People's Republic of China, 2Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 3Thoracic Surgery, Peking University Cancer Hospital and Institute, Beijing, People's Republic of China, 4Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 5Radiology and Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 6Radiology, Neurosurgery, and Bioengineering, University of Illinois at Chicago, Chicago, IL, United States


Oral

Arterial Spin Labeling: Making it More Robust & Informative

Room 310 Wednesday 8:15 - 10:15 Moderators: Eric Achten & Linda Knutsson

675
8:15
4D Combined Angiography and Perfusion using Radial Imaging and Arterial Spin Labeling
Thomas W Okell1

1FMRIB Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom

Complete assessment of blood flow to the brain requires both knowledge of blood flow through the large arteries and perfusion at the tissue level.  However, separate acquisition of dynamic angiograms and perfusion maps is time-consuming.  In this work a 4D implementation of the Combined Angiography and Perfusion using Radial Imaging and Arterial Spin Labeling (CAPRIA) sequence is presented, allowing the reconstruction of whole-brain dynamic angiograms and time-resolved perfusion maps from the same raw data set.  In addition, a variable flip angle imaging scheme is shown to benefit the visualization of tissue perfusion without compromising angiographic image quality.

676
8:27
More and faster: multi-timepoint ASL at 150ms time-resolution with whole brain coverage by combining time-encoding, Look-Locker, Multi-Band and flip-angle sweep
Merlijn C.E. van der Plas1, Wouter M. Teeuwisse1, Sophie Schmid1, and Matthias J. van Osch1

1C.J. Gorter Center for high field MRI, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands

Multi-timepoint ASL can be acquired with several methods; however, most of these methods have some confounding aspects, such as loss of temporal resolution or limited brain coverage. We combine Hadamard-8 time-encoded-pCASL with Look-Locker readout (4 phases×150ms) for a high temporal resolution; moreover, multiband-factor 4 is used for a time efficient acquisition manner enabling whole brain coverage. This combination of techniques results in 25 PLDs for 16 slices, which provides information about the inflow of labeled blood and tissue perfusion. These images have a temporal resolution of 150ms, whereas inflow of label is measured at 75ms resolution.

677
8:39
Evaluation of Velocity Selective ASL Tagging Efficiency Utilizing Accelerated 3D Angiography
James H Holmes1, Tilman Schubert1, Prateek Sanan1, Patrick A Turski1, and Kevin M Johnson1,2

1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Medical Physics, University of Wisconsin-Madison, Madison, WI, United States

Velocity Selective Arterial Spin Labeling (VS-ASL) has been suggested as a possible solution for evaluating perfusion and MRA in complex geometries without well-defined labeling planes as well as in cases of slow or complex flow patterns. The goal of this work is to assess the spatial distribution of VS-ASL tagging efficiency utilizing MR angiography. Specifically, we identify and characterize errors introduced by susceptibility induced magnetic gradients. In controlled phantom experiments and human subjects tagging efficiency demonstrated dependence both on the magnitude of susceptibility shift and the velocity of vessels flowing through those regions.

678
8:51
Pseudo Continuous Arterial Spin Labeling Quantification Considerations in Hyperemic Cerebral Blood Flow
Adam Bush1, Thomas Coates2, and John Wood3

1Biomedical Engineering/ Cardiology, University of Southern California/ Children's Hospital Los Angeles, Los Angeles, CA, United States, 2Hematology, Children's Hospital Los Angeles, Los Angeles, CA, United States, 3Cardiology, University of Southern California/ Children's Hospital Los Angeles, Los Angeles, CA, United States

In this work we compare 2D phase contrast (PC) and pseudo continuous arterial spin labeling (PCASL) estimates in subjects with hyperemic cerebral blood flow.  We found that B1 ineffiency dependent reductions in labeling efficiency and venous outflow of ASL tracer in PCASL leads to underestimation of PC CBF estimates.

679
9:03
Cardiorespiratory noise correction improves the ASL signal
Mahlega S Hassanpour1, Qingfei Luo1, W. Kyle Simmons1,2, Justin S Feinstein1,2, Martin Paulus1, Wenming Luh3, Jerzy Bodurka1,4, and Sahib S Khalsa1,2

1Laureate Institute for Brain Research, Tulsa, OK, United States, 2Oxley College of Health Sciences, University of Tulsa, 3Cornell MRI Facility, Cornell University, 4Stephenson School of Biomedical Engineering, University of Oklahoma

The use of ASL fMRI to study brain function is constrained by its low signal-to-noise ratio and large temporal signal variations. We evaluated the influence of cardiorespiratory activity on the amount of variance in resting state and task based ASL data via several different physiological noise models. We further tested the utility of physiological noise correction approaches by pharmacologically inducing cardiorespiratory fluctuations and evaluating for improvements in the ASL signal. We found that regressing out these non-neuronal, cardiorespiratory-related signal variations substantially improved the ASL signal, offering an important advance for quantitative studies of cognitive processes.

680
9:15
Prospective motion correction for 3D GRASE pCASL with volumetric navigators
Xingfeng Shao1, M. Dylan Tisdall2, Danny JJ Wang1, and Andre Jan Willem van der Kouwe3,4

1Laboratory of FMRI Technology (LOFT), Mark & Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States, 2Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 3A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 4Radiology, Harvard Medical School, Boston, MA, United States

We propose a prospective motion correction approach for background suppressed (BS) segmented 3D GRASE pCASL using volumetric EPI-based navigators (vNavs), which causes minimal contrast change and no extra time. vNavs reduced motion artifacts effectively and increased temporal signal-to-noise ratio (t-SNR). Principle component analysis (PCA) is able to further reduce residual motion artifacts and restore the details of gyral structure in perfusion weighted images.

681
9:27
A Calibrated Perfusion Phantom for Quality Assurance of Quantitative Arterial Spin Labelling.
Aaron Oliver-Taylor1, Miguel Gonçalves1, Thomas Hampshire1, Bradley Davis1, Pankaj Daga1, Laura Evans1, Alan Bainbridge2, Claudia Wheeler-Kingshott3, Magdalena Sokolska2, John Thornton4, Enrico De Vita4, and Xavier Golay1,3

1Gold Standard Phantoms Limited, London, United Kingdom, 2Medical Physics and Biomedical Engineering, UCLH NHS Trust, London, United Kingdom, 3Institute of Neurology, University College London, London, United Kingdom, 4Lysolm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London, United Kingdom

Arterial Spin Labelling shows great promise for perfusion measurements, however its clinical adoption is precluded by the lack of a standardised phantom to validate such measurements. A perfusion phantom specially designed and built for optimal use with clinical ASL sequences is presented, alongside characterisation results.  Measurements of perfusion rate and arterial transit time were made using a multi-TI FAIR PASL sequence.  Results indicate the phantom has good stability, high SNR and exhibits perfusion rates and arterial transit times that are comparable with human physiology.

682
9:39
Automated Quality Evaluation Index for 2D ASL CBF Maps
Sudipto Dolui1,2, Ronald L. Wolf1, Seyed Ali Nabavizadeh1, David A. Wolk2, and John A. Detre1,2

1Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States

We propose an automated Quality Evaluation Index (QEI) for evaluating the quality of cerebral blood flow (CBF) maps obtained using arterial spin labeling (ASL). Agreement between the proposed QEI and human ratings was comparable to that between human ratings. Poor quality CBF maps as assessed by QEI significantly correlated with lower test-retest reliability of mean CBF in different regions of interest for elderly control subjects. The proposed QEI can potentially be used in large-scale studies to automatically identify and discard degraded data from analysis, thereby reducing human effort and potential user bias.

683
9:51
Extreme ASL:  Challenges and Solutions to Improve Perfusion Imaging in Patients with Markedly Prolonged Arterial Transit Delays
Jia Guo1, Audrey Fan1, Marc R. Lebel2, Samantha Holdsworth1, Ajit shankaranarayanan3, and Greg Zaharchuk1

1Radiology, Stanford University, Stanford, CA, United States, 2GE Healthcare, Calgary, Canada, 3GE Healthcare, Menlo Park, CA, United States

It is known that if labeling parameters are not properly adjusted in the presence of prolonged arterial transit delays (ATDs), perfusion may be underestimated using arterial spin labeling (ASL), yielding false negatives and possibly unnecessary interventions. In this study we evaluate the cases where the prolonged ATDs due to cerebrovascular disease posed challenges to perfusion quantification using ASL. Some possible solutions, which we term ‘extreme ASL’, were explored and discussed.

684
10:03
Evidence of arteriovenous shunting in arterial spin labeling MRI in adults with sickle cell anemia
Meher R Juttukonda1, Manus J Donahue1, Melissa C Gindville2, Jeroen Hendrikse3, and Lori C Jordan2

1Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, United States, 2Pediatrics - Division of Pediatric Neurology, Vanderbilt University Medical Center, Nashville, TN, United States, 3Radiology, University Medical Center Utrecht, Utrecht, Netherlands

High cervical arterial flow velocity may cause rapid erythrocyte transit through cerebral capillaries resulting in arteriovenous shunting, which may present as hyperintensities in pseudo-continuous arterial spin labeling (pCASL) MR difference images in draining veins. In an analysis of 36 adults with sickle cell anemia (SCA) and 11 age-matched controls, hyperintense superior sagittal sinus pCASL signal was present in 9% of controls and 61% of patients and correlated with elevated flow velocities. This shunting effect also trended with other markers of hemo-metabolic impairment in patients, such as elevated oxygen extraction fraction, elevated cerebral blood flow, and decreased blood hematocrit.


Oral

Artificial Intelligence & Deep Learning

Room 311 Wednesday 8:15 - 10:15 Moderators: Daniel Alexander & Tim Leiner

685
8:15
Prediction of breathing related B0-field fluctuations via artificial neural networks trained on magnetic field monitoring data
Niklas Wehkamp1, Frederik Testud 1,2, Patrick Hucker1, Stefan Kroboth1, Benjamin Richard Knowles 1,3, Jürgen Henning1, and Maxim Zaitsev 1

1Department of Radiology - Medical Physics, Medical Center – University of Freiburg, Freiburg, Germany, 2Siemens Healthcare AB, Malmö, Sweden, 3German Cancer Research Center, Heidelberg, Germany

The presented approach utilizes artificial neural networks trained on magnetic field monitoring data in order to predict respiration induced B0-field fluctuations in the brain under the condition of normal breathing. From the predicted B0-field fluctuations it is possible to distinguish the respiration induced resonance offset from the resonance offsets induced by other sources during the course of the experiment. This allows for the quantification of breathing related B0-field fluctuations in the brain of normally breathing healthy volunteers. Furthermore it was observed that the B0-field fluctuations resulting from normal respiration show individual spatial dynamics for every volunteer.

686
8:27
Deep Convolutional Neural Network for Acceleration of Magnetic Resonance Angiography (MRA)
Yohan Jun1, Taejoon Eo1, Taeseong Kim1, Jinseong Jang1, and Dosik Hwang1

1Yonsei University, Seoul, Korea, Republic of

In this paper, we propose a deep CNN with skip connection for reconstruction of highly undersampled MRA images. According to the experiments, the proposed method could restore most of fine vessel structures manifested in full-sampled MRA images.

687
8:39
L2 or not L2: Impact of Loss Function Design for Deep Learning MRI Reconstruction
Kerstin Hammernik1, Florian Knoll2,3, Daniel K Sodickson2,3, and Thomas Pock1,4

1Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria, 2Center for Biomedical Imaging and Center for Advanced Imaging Innovation and Research (CAI2R), NYU School of Medicine, New York, NY, United States, 3Department of Radiology, NYU School of Medicine, New York, NY, United States, 4Safety & Security Department, AIT Austrian Institute of Technology GmbH, Vienna, Austria

Human radiologists gain experience from reading numerous MRI images to recognize pathologies and anatomical structures. To integrate this experience into deep learning approaches, two major components are required: We need both a suitable network architecture and a suitable loss function that measures the similarity between the reconstruction and the reference. In this work, we compare pixel-based and patch-based loss functions. We show that it is beneficial to consider other loss functions than the squared L2 norm to get a better representation of the human perceptual system and thus to preserve the texture in the tissue.

688
8:51
Deep learning for fast MR Fingerprinting Reconstruction
Ouri Cohen1,2, Bo Zhu1,2, and Matthew S. Rosen1,3

1Athinoula A. Martinos Center, Charlestown, MA, United States, 2Radiology, Massachusetts General Hospital, Boston, MA, United States, 3Physics, Harvard University, Cambridge, MA, United States

The exponential growth in the number of dictionary entries with increasing dictionary dimensions places a practical limit on the number of tissue parameters that may be simultaneously reconstructed. While a sparse sampling of some dimensions can mitigate the problem it also introduces significant errors into the reconstruction. In this work we demonstrate that Deep Learning methods can be used to train a compact neural network with sparse dictionaries without penalty on the reconstruction accuracy.

689
9:03
Machine Learning for Intelligent Detection and Quantification of Transplanted Cells in MRI
Muhammad Jamal Afridi1, Arun Ross2, and Erik M Shapiro3

1Michigan State University, East Lansing, MI, United States, 2Michigan State University, MI, United States, 3Radiology, Michigan State University, MI, United States

Cell based therapy (CBT) is promising for treating a number of diseases. The ability to serially and non-invasively measure the number and determine the precise location of cells after delivery would aid both the research and development of CBT and also its clinical implementation. MRI-based cell tracking, employing magnetically labeled cells has been used for the past 20 years to enable detection of transplanted cells, achieving detection limits of individual cells, in vivo.These individual cells can be detected as dark spots in T2* weighted MRI. Manual enumeration of these spots, and hence, counting cells, in an in vivo MRI is a tedious and highly time consuming task that is prone to inconsistency. Therefore, it becomes practically infeasible for an expert to conduct such manual enumeration for a very large scale analysis, consequentially affecting our ability to monitor CBT. To solve this challenge, we have designed a machine learning methodology for automatically quantifying transplanted cells in MRI in an accurate and efficient manner.

690
9:15
Accelerated Projection Reconstruction MR imaging using Deep Residual Learning
Yo Seob Han1, Dongwook Lee1, JaeJun Yoo1, and Jong Chul Ye1

1KAIST, daejeon, Korea, Republic of

We propose a novel deep residual learning approach to reconstruct MR images from radial k-space data. We apply a transfer learning scheme that first pre-trains the network using large X-ray CT data set, and then performs a network fine-tuning using only a few MR data set. The proposed network clearly removes the streaking artifact better than other existing compressed sensing algorithm. Moreover, the computational speed is extremely faster than that of compressed sensing MRI.


691
9:27
Deep Boltzmann Machines-Driven Method for In-treatment Heart Motion Tracking Using Cine MRI
Jian Wu1, Nalini Daniel1, Hilary Lashmett1, Thomas Mazur1, Michael Gach1, Laura Ochoa1, Imran Zoberi1, Su Ruan2, Mark Anastasio3, Sasa Mutic1, Maria Thomas1, and Hua Li1

1Department of Radiation Oncology, Washington University in St. Louis, St. Louis, MO, United States, 2Laboratoire LITIS, University of Rouen, France, 3Department of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States

We developed a hierarchical deep learning shape model-driven method to automatically track the motion of the heart, a complex and highly deformable organ, on two-dimensional cine MRI images. The deep-learning shape model was trained based on a Deep Boltzmann Machine (DBM)1,2 to characterize both global and local shape properties of the heart for accurate heart segmentation on each cine frame. Preliminary experimental results demonstrate the superior shape tracking performance of our proposed method versus two other methods. The tracking method is designed for heart motion pattern analysis during MRI-guided radiotherapy and the subsequent evaluation of potential heart toxicity from radiotherapy.

692
9:39
Multi-modal Isointense Infant Brain Image Segmentation with Deep Learning based Methods
Dong Nie1,2, Li Wang1, Roger Trullo1, Ehsan Adeli1, Weili Lin1, and Dinggang Shen1

1Department of Radiology and BRIC, UNC-Chapel Hill, USA, Chapel Hill, NC, United States, 2Department of Computer Science, UNC-Chapel Hill, USA, Chapel Hill, NC, United States

Accurate segmentation of infant brain images into different regions of interest is one of the most important fundamental steps in studying early brain development. In this paper, we propose a framework based on the recently well-received and prominent deep learning methods. Specifically, we propose a novel 3D multimodal fully convolutional network (FCN) architecture for segmentation of isointense phase brain MR images. Our proposed framework can model the brain tissue structures more accurately compared to the traditional methods. The conducted experiments show that our proposed 3D multimodal FCN model outperforms all previous methods by a large margin, in terms of segmentation accuracy.

693
9:51
Fracture Risk Assessment using Deep Learning and Hip Microarchitecture MRI
Cem M Deniz1,2, Kyunghyun Cho3, Stephen Honig4, Kenneth A Egol5, Daniel K Sodickson1,2, and Gregory Chang6

1Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, New York University School of Medicine, New York, NY, United States, 2The Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY, United States, 3Courant Institute of Mathematical Sciences & Centre for Data Science, New York University, New York, NY, United States, 4Osteoporosis Center, Hospital for Joint Diseases, NYU Langone Medical Center, New York, NY, United States, 5Department of Orthopaedic Surgery, Hospital for Joint Diseases, NYU Langone Medical Center, New York, NY, United States, 6Department of Radiology, Center for Musculoskeletal Care, New York University Langone Medical Center, New York, NY, United States

The identification of subjects with high risk of developing osteoporosis-related fracture remains challenging. In this project, we developed supervised convolutional neural networks for hip fracture risk identification using proximal femur MR microarchitecture images and patients’ history of fragility fractures. We found that the proposed fracture risk assessment method provides superior discrimination of fragility fracture patients from controls compared to the current standard of care, DXA.  

694
10:03
Deep Learning based pseudo-CT estimation using ZTE and Dixon MR images for PET attenuation correction
Sandeep Kaushik1, Dattesh Shanbhag1, Andrew Leynes2, Hariharan Ravishankar1, Jaewon Yang2, Peder Larson2, Thomas Hope2, and Florian Wiesinger3

1GE Global Research, Bangalore, India, 2Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 3GE Global Research, Garching b. Munchen, Germany

Simultaneous PET/MR is now being adapted for clinical studies. Earlier methods of PET/MR-AC have considered all bones as a single entity irrespective of their density. In this work, we demonstrate using ZTE and Dixon LAVA-Flex MRI data, and deep learning framework, a continuous density pseudo-CT (pCT) image which combines soft tissue pCT (from Dixon LAVA-Flex) with a continuous density bone pCT from ZTE.


Oral

High-Resolution Brain Anatomy

Room 312 Wednesday 8:15 - 10:15 Moderators: Dimo Ivanov & Jennifer McNab

695
8:15
Interhemispheric differences of the U-shape fibre system in the human brain
Francisco De Santiago Requejo1, Pedro Luque-Laguna1, Ahmad Beyh1,2, Steven Williams1, Marco Catani1,2, and Flavio Dell'Acqua1,2

1Dept of Neuroimaging, King's College London, London, United Kingdom, 2Dept of Forensic and Neurodevelopmental Sciences, King's College London, London, United Kingdom

The white matter of the human brain is mostly composed of myelinated axonal bundles connecting different brain regions.  Within these tracts, U-shape fibres are short association connections that link adjacent gyri. Although they were first described by Meynert in the 19th century most of the mapping in the human brain has remained incomplete (Catani et al., 2012).

696
8:27
Laminar microstructure and subfield connectivity of the human hippocampus revealed with ultra-high field diffusion MRI at 11.7T
Manisha Aggarwal1, Priya Sathyanarayan2, and David W. Nauen3

1Department of Radiology, Johns Hopkins University, Baltimore, MD, United States, 2Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States, 3Department of Pathology, Johns Hopkins University, Baltimore, MD, United States

In this work, we demonstrate high-field (11.7T) 3D diffusion MRI (dMRI) of the fixed human hippocampal formation to investigate its internal organization. The results of this study show delineation of fine hippocampal microstructure and inner connectivity of the human hippocampal subfields based on HARDI. Further, we demonstrate 3D reconstruction of intra-hippocampal subfield connectivity, e.g. the trisynaptic hippocampal circuit, using fODF-based probabilistic tractography with combined high spatial and angular resolution, which has important future applications for mapping of pathology-induced changes in the hippocampus in Alzheimer’s disease and related neurological disorders.  

697
8:39
Unfolded hippocampal coordinate system for quantitative mapping and subfield segmentation
Jordan DeKraker1, Kayla Ferko1, Jonathan Lau2, Stefan Köhler1, and Ali R. Khan2

1Brain and Mind Institute, Western University, London, ON, Canada, 2Robarts Research Institute, Western University, London, ON, Canada

This work presents a novel computational technique for unfolding the hippocampus, providing a smooth and consistent mapping from native 3D space to a common coordinate system that is intrinsically defined by hippocampal anatomy. This coordinate system allows for laminar-based sampling of quantitative volumetric data and a means to pool data across subjects without additional registration or warping. We demonstrate the value of this technique with data from a set of healthy young participants scanned at 7T, taking advantage of high-resolution isotropic imaging for visualizing intra-hippocampal features, and employ a single surgical patient case with histology for validation.

698
8:51
Segmentation of the Human Nucleus Accumbens Using High-Resolution Diffusion Tractography
Samuel Cartmell1, Qiyuan Tian, Grant Yang, Christoph Leuze, Jennifer McNab, and Casey Harrison Halpern

1Stanford University, Palo Alto, CA, United States

Tractography-based parcellation of the Nucleus Accumbens (NAc) was performed using high-resolution diffusion data from the Human Connectome Project.  Analysis of clustering indicated the NAc was best separated into 2 subregions, consistent with anatomical and histological studies of animals.  Output of the procedure gave qualitatively similar results across subjects, producing clusters that tended to occupy the ventromedial and dorsolateral portions of the NAc. The ventromedial subregion demonstrated increased task fMRI activation and displayed preferential connections to known biased projection areas such as medial orbitofrontal cortex. Finally, qualitatively similar results were obtained by performing the clustering procedure on a separate, lower-quality dataset. 

699
9:03
Optimization of Lateral Geniculate Nucleus Volume Determination at 3T and 7T
Njoud Aldusary1,2, Lars Michels1, Birgit Keisker1, Michael Wyss3, Karen Huebel1, Arwa Baeshen1,2, David Otto Brunner3, Klaas Paul Pruessmann3, Klara Landau4, Spyridon Kollias1, and Marco Piccirelli1

1Neuroradiology, University Hospital Zurich, Zurich, Switzerland, 2King Abdulaziz University, Jedaah, Saudi Arabia, 3Inst. for Biomed. Eng., University and ETH Zurich, Zurich, Switzerland, 4Ophthalmology, University Hospital Zurich, Zurich, Switzerland

The clinical 2D PD scans and the research very high resolution 3D T1 scans used to determine the lateral geniculate nucleus (LGN) have high contrast respectively high resolution, but too low resolution respectively too long acquisition time. Nevertheless, volumetric and contrast quantification of the LGN and of other brain tissues might increase in clinical relevance. Therefore, we optimized the contrast of 3D T1 MPRAGE to obtain the best contrast with sufficient resolution to quantify volume and contrast of the LGN.

700
9:15
In vivo imaging of human Locus coeruleus at 3 and 7 Tesla
Nikos Priovoulos1, Heidi IL Jacobs1,2, Dimo Ivanov2, Kamil Uludag2, Frans Verhey1, and Benedikt A Poser2

1Faculty of Health and Medicine, Maastricht University, Maastricht, Netherlands, 2Faculty of Physhology and Neuroscience, Maastricht University, Maastricht, Netherlands

Structural and functional alterations of the Locus coeruleus (LC) are implicated in various neurological diseases, including Alzheimer’s.  Current standard spin-echo based approaches to imaging the LC suffer from several limitations at 3T, including long acquisition time and highly anisotropic resolution. In this study, we have evaluated in healthy human subjects different MRI contrasts both at 3 and 7 Tesla to image LC. We show that visualization of the locus coeruleus is best achieved with magnetization transfer contrast at 7T superior to standard T1- and T2-weighted methods.

701
9:27
A seed point discontinuity-based level set method for accurate substantia nigra and red nucleus segmetation in QSM images
Tian Guo1, Binshi Bo1, Xinxin Zhao1, Xu Yan2, Yang Song1, Caixia Fu3, Dongya Huang4, Hedi An4, Nan Shen4, Yi Wang5, Jianqi Li1, and Guang Yang1

1Department of Physics, Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, People's Republic of China, 2MR Collaboration NE Asia, Siemens Healthcare, Shanghai, People's Republic of China, 3Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, People's Republic of China, 4Department of Neurology, East Hospital Affiliated to Tongji University, Shanghai, People's Republic of China, 5Department of Radiology, Weill Medical College of Cornell University, New York, United States

Accurate segmentation of substantia nigra (SN) and red nucleus (RN) in quantitative susceptibility mapping (QSM) images has great clinical value in quantifying iron deposition and measuring disease severity. We propose a new segmentation algorithm which uses the discontinuity of seed points in different tissues as prior knowledge. Seed points in SN or RN can be obtained from standard atlas or specified manually. This prior was then incorporated into level set method to segment SN and RN. Experiments on in-vivo MR images showed that the proposed method achieved more accurate segmentation results than the atlas-based method and classic level-set method.

702
9:39
In vivo 7 Tesla probabilistic neuroimaging structural atlas of human pedunculotegmental, oral pontine reticular and paramedian-raphe nuclei
Marta Bianciardi1, Christian Strong2, Nicola Toschi1,3, Brian Edlow4, Bruce Fischl1, Emery N Brown5, Bruce R Rosen1, and Lawrence L Wald1

1Department of Radiology, A.A. Martinos Center for Biomedical Imaging, MGH and Harvard Medical School, Boston, MA, United States, 2Department of Neurosurgery, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States, 3Medical Physics Section, Department of Biomedicine and Prevention, Faculty of Medicine, University of Rome “Tor Vergata”, Rome, Italy, 4Department of Neurology, A. A. Martinos Center for Biomedical Imaging, MGH and Harvard Medical School, Boston, MA, United States, 5Department of Anesthesia, Critical Care and Pain Medicine, MGH, Boston, MA, United States

Mesopontine-tegmental nuclei such as the pedunculotegmental, oral-pontine-reticular and paramedian-raphe nuclei modulate arousal and motor functions. Dysfunction of these nuclei is implicated in the pathogenesis of disorders of consciousness, sleep disorders, and neurodegenerative diseases. However, a stereotaxic probabilistic atlas of these nuclei in humans does not exist. We used segmentation of 1.1 mm-isotropic 7 Tesla diffusion-fractional-anisotropy and T2-weighted images to generate and validate an in vivo probabilistic neuroimaging structural atlas of these nuclei in MNI space. We constructed this atlas to aid the localization of these nuclei in conventional images in future research and clinical studies of arousal and motor functions.

703
9:51
An Improved Probabilistic Atlas of the Dentate Nucleus Derived with QSM
Naying He1,2, Jason Langley3, Daniel E Huddleston4, Huawei Ling5, Hongmin Xu5, Chunlei Liu6, Yong Zhang7, Fuhua Yan8, and Xiaoping Hu9,10

1Radiology, Ruijin Hospital,Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China, 2Center for Advanced Neuroimaging, University of California, Riverside, Riverside, CA, United States, 3Center for Advanced NeuroImaging, University of California Riverside, Riverside, CA, United States, 4the department of Neurology, Emory School of Medicine, Atlanta, GA, United States, 5Radiology, Ruijin Hospital,Shanghai Jiao Tong University School of Medicine, 6Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, United States, 7MR Research, GE Healthcare, Shanghai, People's Republic of China, 8Radiology, Ruijin Hospital,Shanghai Jiao Tong University School of Medicine, shanghai, People's Republic of China, 9Center for Advanced Neuroimaging, University of California, Riverside, CA, United States, 10Bioengineering, University of California, Riverside, Riverside, CA, United States

Prior dentate nucleus (DN) atlases were derived using T1-, T2*- or susceptibility-weighted imaging. Accurate delineation of the DN boundary is difficult in these images. We present an atlas derived from quantitative susceptibility maps, which exhibit better contrast between DN and surrounding cerebellum tissue. An improved delineation of DN boundaries was achieved, resulting in increased maximum overlap in our DN atlas as compared to previously published results. We anticipate the atlas to be used in a variety of imaging applications ranging from functional imaging of DN to measuring DN iron deposition arising from disease.

704
10:03
Measurements of cardiac related pulsatile volumetric strain in grey and white matter brain tissue with high resolution DENSE at 7T
Ayodeji Adams1, Peter R Luijten1, and Jaco J.M Zwanenburg1

1Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands

The aim of this study was to investigate the cardiac induced volumetric strain differences between grey and white matter at 7T with DENSE in young, healthy volunteers, which may provide information on properties of the microvasculature. Increasing volumetric strain was seen in the systolic phase of the heart. The average strain in the grey matter was larger compared to white matter, but this was not significant. Measuring whole brain volumetric strain is feasible with DENSE at 7T, and has the potential to assess microvascular function (passive swelling over the cardiac cycle) in various brain areas.


Oral

Brain Tumor Imaging

Room 313A Wednesday 8:15 - 10:15 Moderators: Janine Lupo & Tomohisa Okada

705
8:15
Towards Glioma Grading Using Non-Gaussian Diffusion Imaging with a Continuous-time Random Walk Model and A Quantile Histogram Analysis
Muge Karaman1, Jiaxuan Zhang1,2, Zheng Zhong1,3, Kejia Cai1,4, Wenzhen Zhu2, and Xiaohong Joe Zhou5

1Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, People's Republic of China, 3Department of Bioengineering, Chicago, IL, United States, 4Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 5Departments of Radiology, Neurosurgery, and Bioengineering, University of Illinois at Chicago, IL, United States

Gliomas are the most common primary tumors of the central nervous system. As surgical biopsy may not be always feasible, an accurate noninvasive glioma grading is highly desirable for planning treatments. Recently, a number of non-Gaussian diffusion models were developed to characterize the anomalous diffusion behavior of the complex biological tissue. Among these, the continuous-time random walk (CTRW) model showed a great potential to probe the tissue heterogeneity and complexity that is elevated with tumor progression. In this study, we show that the CTRW parameters are capable of differentiating glioma grades, beyond simply separating low-grade and high-grade as in many diffusion MR studies on gliomas.

706
8:27
Optimization of acquisition and analysis methods for clinical dynamic susceptibility contrast (DSC) MRI using a validated digital reference object
Natenael B Semmineh1, Ashley M Stokes1, Laura C Bell1, Jerrold L Boxerman2, C Chad Quarles1, and Natenael B Semmineh3

1Translational Bioimaging, Barrow Neurological Institute, Phoenix, AZ, United States, 2Diagnostic Imaging, Rhode Island Hospital, Providence, RI, United States, 3imaging research, Barrow Neurological Institute, Phoenix, AZ, United States

Brain tumor DSC-MRI studies can be confounded by T1 and T2* effects that occur when the contrast agent extravasates. Traditionally a combination of contrast agent pre-loading and leakage correction techniques are used to minimize T1 leakage effects, but currently there is no consensus on the most robust dosing scheme. Using a validated DSC-MRI digital reference object we characterize the influence of pre-load dosing schemes, acquisition pulse parameters, and leakage correction methods on CBV accuracy. Our goal is to leverage this computational approach to identify the optimal combination of parameters for brain tumor CBV mapping.

707
8:39
MRI-perfusion derived fractional tumor burden (FTB) is predictive of overall and progression free survival in newly diagnosed glioblastoma following concomitant chemoradiotherapy
Melissa A Prah1, Jennifer M Connelly2, and Kathleen M Schmainda1,3

1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Neurology, Medical College of Wisconsin, Milwaukee, WI, United States, 3Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States

The phenomenon of pseudoprogression (PsP) on standard imaging can make response assessment difficult in patients with glioblastoma who have undergone standard chemoradiation treatment (CRT).  PsP mimics tumor progression on standard imaging, yet is thought to represent a positive biological response to treatment.  Recent efforts to define rCBV thresholds to distinguish tumor from treatment effect has enabled the creation of fractional tumor burden (FTB) maps.  FTB maps quantify the percent of tumor within an enhancing lesion.  This study shows that, within 4-months post-CRT, FTB is a better indicator of PFS and OS than median rCBV or methylation status alone. 

708
8:51
MRI-perfusion derived Fractional Tumor Burden (FTB) stratifies survival in recurrent glioblastoma following treatment with bevacizumab
Melissa A Prah1, Jennifer M Connelly2, Scott D Rand1, and Kathleen M Schmainda1,3

1Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, 2Neurology, Medical College of Wisconsin, Milwaukee, WI, United States, 3Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States

Imaging response, in patients with recurrent glioblastoma (rGBM) who are treated with bevacizumab (which decreases vascular permeability), is often difficult to assess since decreased contrast agent uptake might falsely underestimate lesion size or biologic activity.  Alternatively, relative cerebral blood volume (rCBV) has shown promise to identify true responders.  Fractional tumor burden (FTB) maps, which are derived from rCBV, allow spatially quantifiable characterization of rGBM within lesion enhancement, and therefore may provide additional value to post-treatment response-assessment.  This work demonstrates that patients with less than 75% FTB following treatment with bevacizumab have a clear progression-free and overall survival benefit.

709
9:03
Improvement in Diagnostic Accuracy and Reliability of Pharmacokinetic Parameters from DCE MR Imaging by using Arterial Input Function Obtained from DSC MR imaging: Differentiation of High Grade Glioma from Low Grade Glioma.
Sung-Hye You1 and Seung Hong Choi1

1Department of Radiology, Seoul National University Hospital, Seoul, Korea, Republic of

The aim of this study was to compare two AIFs derived from DCE (AIFDCE) and DSC MR imaging (AIFDSC) in terms of the diagnostic accuracy and reliability of pharmacokinetic parameters from DCE MRI for differentiation of high grade from low grade glioma. This retrospective study included 70 patients with pathologically confirmed gliomas. In all of the patients, we performed preoperative DSC and DCE MRI, and two AIFs (AIFDSC and AIFDCE) were obtained from each image. Pharmacokinetic parameters (Ktrans, Vp, and Ve) were processed. DCE MRI parameters obtained using AIFDSC showed better accuracy and reliability than those derived from AIFDCE.

710
9:15
Brain volume loss in glioblastoma patients following photon and proton radiochemotherapy
Jan Petr1, Frank Hofheinz1, Andreas Gommlich2,3,4, Felix Raschke2, Esther Troost2,3,5,6,7, Bettina Beuthien-Baumann1,8, Annekatrin Seidlitz2,5,6,7, Ivan Platzek9, Michael Baumann2,3,5,6,7, Mechthild Krause2,3,5,6,7, and Jörg van den Hoff1,8

1PET center, Institute of Radiopharmaceutical Cancer Research, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, 2OncoRay – National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Dresden, Germany, 3Institute of Radiooncology, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, 4NCT - National Center for Tumor Disease, Dresden, Germany, 5Department of Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany, 6German Cancer Consortium (DKTK), Dresden, Germany, 7German Cancer Research Center (DKFZ), Heidelberg, Germany, 8Department of Nuclear Medicine, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany, 9Department of Radiology, University Hospital Carl Gustav Carus, Technical University Dresden, Dresden, Germany

Gray matter (GM) atrophy in healthy brain tissue following radiochemotherapy was shown in brain-tumor patients in several studies. Here, we aimed to study GM and white matter (WM) changes in glioblastoma patients undergoing photon (n=43) and proton (n=12) radiochemotherapy. In photon-therapy patients, a statistically significant decrease of both GM (~2%) and WM (1.3-2.3%) volume was found with a positive influence of the RT-dose on the GM volume loss. In proton-therapy patients, no significant changes in GM and WM volumes were observed after therapy. This indicates that the proton-therapy has the potential to reduce structural GM changes in healthy tissue.

711
9:27
Volumetric 3D analysis of high grade glioma at pre- and post-radiation therapy by magnetic resonance echo-planar spectroscopic imaging
Yanqin Lin1, Doris Lin2, Karim Snoussi2, Anouk Marsman2, Andrew A. Maudsley3, Sulaiman Sheriff3, Katie Link2, Peter B. Barker2,4, and Lawrence Kleinberg5

1Department of Electronic Science, Xiamen University, Xiamen, People's Republic of China, 2Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Department of Radiology, University of Miami, Miami, FL, United States, 4F.M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 5Department of Radiation Oncology & Molecular Radiation Sciences, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, United States

31 patients with high grade glioma were recruited at both pre- and post-radiation therapy. 3D EPSI was employed on a Siemens 1.5 T scanner. NAA and Cho in lesion are normalized to Cr at contralateral part. At pre-radiation, Cho/Cr at lesion is significantly higher than that in contralateral part (p = 0.003). From pre- to post-radiation, Cho/Cr at lesion is significantly decreased (p < 0.007). Elevated Cho level can be an indicator for residual glioma tumor after surgery. Cho/Cr ratio can be used to monitor the treatment response. EPSI technique can be a promising way to monitor treatment response.

712
9:39
Differentiating Recurrent Glioma from Treatment Effects Using Amide Proton Transfer-Weighted MRI
Shanshan Jiang1, Yi Zhang1, Hye-Young Heo1, Peter Van Zijl1,2, and Jinyuan Zhou1,2

1Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States

We assess the feasibility and the value of amide proton transfer-weighted (APTw) MRI in identifying viable malignant glioma. 22 patients with suspected recurrent glioma following chemoradiation were scanned at 3T. A total of 64 stereotactic biopsy specimens were obtained from gadolinium-enhancing regions of interest with varying APTw signals, 47 of which were histopathologically assigned as recurrent tumor and 17 treatment effects. APTw MRI revealed different signal intensities in the biopsied sites showing recurrent tumor (hyperintense signal) or treatment effects (iso-intense to minimally hyperintense signal). APTw signal intensity identified recurrent tumor with 97.9% sensitivity and 88.2% specificity.

713
9:51
Disrupted Integrity of Frontal White Matter and Neurocognitive Correlates in Patients Treated for Pediatric Medulloblastoma
John O Glass1, Robert J Ogg1, Jung W Hyun2, Julie H Harreld1, Jane E Schreiber3, Yimei Li2, Amar J Gajjar4, and Wilburn E Reddick1

1Diagnostic Imaging, St. Jude Children’s Research Hospital, Memphis, TN, United States, 2Biostatistics, St. Jude Children’s Research Hospital, Memphis, TN, United States, 3Psychology, St. Jude Children’s Research Hospital, Memphis, TN, United States, 4Oncology, St. Jude Children’s Research Hospital, Memphis, TN, United States

This study assessed the longitudinal white matter (WM) microstructure of 146 patients and 72 normal healthy age-similar controls. WM volume, fractional anisotropy (FA), and radial (RAD) and axial (AX) diffusivity trajectories were examined and correlated with neurocognitive performance at 36 months. After surgery but before any additional therapy, frontal WM volume in patients was similar to controls but FA was significantly reduced and was significantly correlated with neurocognitive performance three years later. Over the next three years, WM volume significantly decreased in patients and was significantly correlated with decreased Working Memory.

714
10:03
Improved prediction of meningioma-brain adhesion with normalized octahedral shear strain using slip interface imaging based on MR-elastography
Ziying Yin1, Joshua D Hughes2, Joshua D Trzasko1, Kevin J Glaser1, Armando Manduca3, Jamie J Van Gompel2, Michael J Link2, Anthony Romano4, Richard L Ehman1, and John Huston III1

1Radiology, Mayo Clinic, Rochester, MN, United States, 2Neurosurgery, Mayo Clinic, MN, United States, 3Physiology and Biomedical Engineering, Mayo Clinic, MN, United States, 4Naval Research Laboratory, Code 7160, Washington, DC

Knowledge of meningioma-brain adhesion can be important to surgical outcome but has been reliably assessed only during surgery. Slip interface imaging (SII), a recently developed MR-elastography based technique, is capable of determining the degree of meningioma-brain adhesion preoperatively. In SII, a non-adherent meningioma demonstrates a hyper-intense octahedral shear strain (OSS) contour along the tumor-brain interface. In 25 meningiomas, an algorithm improved by normalizing OSS to the combined wave amplitude provided a more accurate prediction in the setting of peritumoral edema. Normalized OSS increased SII accuracy from 72% to 92%, and the kappa coefficient increased from 0.37 (fair) to 0.86 (good). 


Oral

Gray Matter Diffusion Studies

Room 313BC Wednesday 8:15 - 10:15 Moderators: Andrada Ianus & Michiel Kleinnijenhuis

715
8:15
Characterisation of cerebellar microstructure with two-compartment Spherical Mean Technique
Giovanni Savini1,2, Fulvia Palesi2,3, Gloria Castellazzi2,4, Letizia Casiraghi2,5, Francesco Grussu6, Alessandro Lascialfari1,3, Egidio D'Angelo2,5, and Claudia AM Gandini Wheeler-Kingshott5,6,7

1Department of Physics, University of Milan, Milan, Italy, 2Brain Connectivity Center, C. Mondino National Neurological Institute, Pavia, Italy, 3Department of Physics, University of Pavia, Pavia, Italy, 4Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy, 5Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy, 6Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, United Kingdom, 7Brain MRI 3T Mondino Research Center, C. Mondino National Neurological Institute, Pavia, Italy

Cerebrum microstructure has been extensively investigated with diffusion-weighted MRI, but little attention has been dedicated to the microstructural characterisation of the cerebellum.

We considered an anatomical parcellation of the cerebellum and fitted a multi-compartment model to diffusion data exploiting the spherical mean technique, which provides parametric maps unconfounded by the underlying fibre orientation distribution. For each region we report average values for multi-compartment parameters (e.g. intra-neurite volume fraction and intrinsic diffusivity) and diffusion tensor metrics.

Multi-compartment metrics more specific to microstructure provide information complementary to diffusion tensor metrics in the cerebellum, thus giving new insights about microstructural correlations between regions.


716
8:27
Microscopic anisotropy in gray matter is evidence of myelinated axons but not dendrites? An in vivo study using diffusion MRI with variable shape of the b-tensor.
Björn Lampinen1, Filip Szczepankiewicz1, Mikael Novén2, Carl-Fredrik Westin3, Elisabet Englund4, Johan Mårtensson5, and Markus Nilsson6

1Clinical Sciences Lund, Medical Radiation Physics, Lund University, Lund, Sweden, 2Centre for Languages and Literature, Lund University, Lund, Sweden, 3Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States, 4Clinical Sciences Lund, Oncology and Pathology, Lund University, Lund, Sweden, 5Department of Psychology, Faculty of Social Science, Lund University, Lund, Sweden, 6Clinical Sciences Lund, Radiology, Lund University, Lund, Sweden

Microscopic anisotropy was measured in vivo using a novel tensor-valued diffusion encoding approach. In gray matter, the microscopic anisotropy was generally low, but its variation corresponded well to known differences in myelination. We hypothesize that myelinated axons cause microscopic diffusion anisotropy but that the contribution from dendrites is negligible. This hypothesis is supported by comparisons with independent myelin assessments using T1W/T2W-ratios, T2-mapping, and myelin stains from histology. We also demonstrate that the “neurite density index” detected by NODDI is less sensitive to these changes, and why NODDI cannot map the neurite density accurately.

717
8:39
Pore size estimation using the mixing time dependence of a double diffusion encoding experiment: experimental validation on a clinical MR system
Vincent Methot1, Patricia Ulloa1, and Martin A. Koch1

1University of Luebeck, Luebeck, Germany

Diffusion MRI provides information about microstructure, but is limited in complex situations. Double diffusion encoding makes assessment of shape and size possible in these contexts. The time delay (mixing time) between diffusion encodings has not been studied closely outside of the short and long regimes. We present here an experimental study of the mixing time dependence. In spherical pores, the parallel-antiparallel signal difference can be approximately described as an exponential decay with a rate related to diameter. This decay was obtained on a clinical scanner in a water-in-oil emulsion.

718
8:51
Layer-specific analysis of cortical microstructure using in-vivo 7T diffusion MRI
Omer Faruk Gülban1, Federico De Martino1, An Thanh Vu2, Kamil Ugurbil3, Essa Yacoub3, and Christophe Lenglet3

1Department of Cognitive Neuroscience, Maastricht University, Maastricht, Netherlands, 2Center for Imaging of Neurodegenerative Diseases, Veterans Affairs Health Care System, San Francisco, CA, United States, 3Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States

We present unique in-vivo human 7T diffusion MRI data and a dedicated layer-specific analysis pipeline. We leverage the high spatial and angular resolution of this dataset to improve cortical fiber orientation mapping (i.e. limit gyral bias and identify fiber crossings), and study axonal trajectories within the cortex across depths.

719
9:03
HARDI and oscillating gradient diffusion MRI reveal disrupted embryonic cortical microstructure
Dan Wu1, Wei Shao2,3, Songhai Shi2,3,4, and Jiangyang Zhang5

1Radiology, Johns Hopkins University School of Medicine, BALTIMORE, MD, United States, 2BCMB Allied Graduate Program, Weill Cornell Graduate School of Medical Sciences, 3Developmental Biology Program, Memorial Sloan Kettering Cancer Center, 4Graduate Program in Neuroscience, Weill Cornell Graduate School of Medical Sciences, 5Radiology, New York University School of Medicine, NY, United States

We investigated the capability of advanced diffusion MRI, including high-angular resolution diffusion MRI (HARDI) and oscillating gradient diffusion MRI, to characterize cortical microstructural organization in the embryonic mouse brains. HARDI-based tractography revealed reduced axons in the intermediate zone of the embryonic cortex in the Sas-4-/-;p53-/- mice compared to the wildtypes. The oscillating gradient diffusion MRI delineated a three-lamina structure in the cortex of the normal embryonic brain, reflecting the neuronal cell distributions during embryonic brain development, which was altered by mislocalized RGPs in extra-ventricular zone, resulting in diminished contrast in the mutant cortex.

720
9:15
Mapping of cerebral cortical microstructure characterized by non-Gaussian water diffusion in aging
Qinmu Peng1,2, King Kevin3,4, Minhui Ouyang1, Hanzhang Lu5, and Hao Huang1,2

1Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 3Department of Imaging, Huntington Medical Research Institutes, 4Department of Radiology, University of Texas Southwestern Medical Center, 5Department of Radiology, Johns Hopkins University

The cellular and molecular processes inside the cerebral cortex play a critical role in aging and neurodegenerative disorders. The microstructural changes associated to these cortical processes can be assessed with multi-shell diffusion MRI. Here, we aimed to accurately quantify the regional cortical microstructural changes of the aging brains. Multi-shell diffusion MRI was acquired to measure mean kurtosis (MK) derived from DKI at the center of the cerebral cortical layer for specific cortical regions. Significant MK decreases were found in the primary somatosensory regions, but not in prefrontal and visual regions, suggesting differentiated aging processes in different cortical regions. 

721
9:27
Improved tractography-based segmentation of the human thalamus
Carla Semedo1, M. Jorge Cardoso1, Sjoerd B. Vos1,2, Alex F. Mendelson1, Annemie Ribbens3, Dirk Smeets3, Jonathan D. Rohrer4, and Sebastien Ourselin1

1Translational Imaging Group, UCL, London, United Kingdom, 2MRI Unit, Epilepsy Society, Chalfont St Peter, United Kingdom, 3Icometrix, Leuven, Belgium, 4Dementia Research Centre, UCL, London, United Kingdom

Accurate segmentation of the thalamus and its nuclei is a prerequisite for studying anatomical connectivity and its correlation to neurological diseases. The probabilistic tractography pipeline in FSL is commonly used for thalamus connectivity-based parcellation. However, dMRI data analysis and tractography are done in a mix of standard and subject spaces which can bias anatomical connectivity findings. Here, we presented a framework that improves thalamus parcellation by performing DW data processing and probabilistic tractography in the subject’s native space, as well by generating population- connectivity priors. Higher segmentation accuracy was achieved with it when compared to FSL’s available pipeline. 

722
9:39
Validation of DTI-based parcellation of the thalamus in the squirrel monkey
Yurui Gao1,2, Kurt G Schilling1, Iwona Stepniewska3, Landman A Bennett4, and Adam W Anderson5

1Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 3Psychological Sciences, Vanderbilt University, 4Electrical Engineering, Vanderbilt University, 5Biomedical Engineering, Vanderbilt University

DTI has been used to noninvasively resolve major thalamic nuclei using an unsupervised clustering algorithm. However, rigorous validation of the method has not been studied. Here, we evaluated the method by comparing the parcellation results with histology in the same non-human primate. We found that some nuclei were clustered with larger differences from histology. That probably was because the diffusion properties of these nuclei were not coherent. In addition, the pipeline constructed in this study is also a framework to validate other approaches for thalamic nuclei parcellation.

723
9:51
In vivo observation and interpretation of time dependent diffusion in human gray matter
Antonios Papaioannou1, Dmitry Novikov1, and Els Fieremans1

1Radiology, New York University School of Medicine, Center for Biomedical Imaging, New York, NY, United States

The temporal scaling of the diffusion coefficient and diffusional kurtosis may reveal the underlying microstructural features of the human brain. Here we demonstrate time-dependent diffusion coefficient and kurtosis in gray matter areas of the human brain in vivo. Our results suggest that the major contribution of time-dependence in gray matter originates from intra-neurite water with the main source of restrictions, e.g. dentrites and beads, being short-range disordered in their placement.

724
10:03
High Resolution Diffusion Imaging of the Human Hippocampus
Sarah C Treit1, Trevor Steve1, Donald Gross1, and Christian Beaulieu1

1University of Alberta, Edmonton, Canada

Diffusion imaging of the human hippocampus is typically limited to low spatial resolution due to challenges with low signal-to-noise ratio. Here we demonstrate error in fractional anisotropy/mean diffusivity in high resolution diffusion imaging acquired with multiple gradient directions and 1 average, which is mitigated by acquiring fewer directions and multiple signal averages. Using this approach, 1x1x1 mm3 diffusion data at 3T is shown to produce mean diffusion weighted images with excellent contrast within the hippocampus, acquired in a clinically feasible scan time of 6 minutes. High resolution diffusion imaging will impact the study of numerous disorders affecting the hippocampus. 


Oral

Clinical & Translational Molecular/Metabolic Imaging

Room 316A Wednesday 8:15 - 10:15 Moderators: Kai-Hsiang Chuang & Ferdia Gallagher

725
8:15
Phase II Clinical Hyperpolarized 13C 3D-Dynamic Metabolic Imaging of Prostate Cancer using a B1-insensitive Variable Flip Angle Design
Hsin-Yu Chen1,2, Peder E.Z. Larson1,2, Jeremy W. Gordon1, Robert A. Bok1, Marcus Ferrone3, Mark van Criekinge1, Lucas Carvajal1, Rahul Aggarwal4, James B. Slater1, Ilwoo Park1, Eugene Milshteyn1,2, Sarah J. Nelson1,2, John Kurhanewicz1,2, and Daniel B. Vigneron1,2

1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2UCSF/UC Berkeley Graduate Program in Bioengineering, University of California, San Francisco, San Francisco, CA, United States, 3Department of Clinical Pharmacy, University of California, San Francisco, San Francisco, CA, United States, 4School of Medicine, University of California, San Francisco, San Francisco, CA, United States

The 3D compressed-sensing echo-planar spectroscopic imaging (CS-EPSI) sequence has enabled 5-dimensional HP-13C imaging of human prostate cancer with full-prostate coverage and high spatial and temporal resolution. A new variable flip angle design substantially desensitizes the sequence to B1 variations for improved quantitative analysis of pyruvate-to-lactate rate constant (kPL) measurements. Pre-clinical animal and clinical patient studies demonstrate that the resulting sequence enabled improved quantitative accuracy while maintaining excellent metabolite SNR.

726
8:27
Demonstrating the Randle Cycle In Vivo: Assessment of Physiological Alterations in Human Cardiac Metabolism Using Hyperpolarised 13C MR Spectroscopy
Damian Tyler1, Oliver Rider2, Michael Dodd1, Angus Lau3, Andrew Lewis2, Jack Miller1,4, Mark Peterzan2, Claire Trumper1, and Stefan Neubauer2

1Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, United Kingdom, 2Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom, 3Physical Sciences, Sunnybrook Research Institute, Toronto, Canada, 4Department of Physics, University of Oxford, Oxford, United Kingdom

The recent introduction of dissolution Dynamic Nuclear Polarization (DNP) has opened up a new window on in vivo metabolism and in this work we present the first demonstration that dissolution-DNP can observe physiological modulation of metabolism in the healthy human heart. The transition from the fasted to the fed state is shown to lead to an increase in flux through the key regulatory enzyme, pyruvate dehydrogenase, due to a metabolic switch away from fatty acid oxidation towards glucose oxidation. Such studies will provide the basis for future clinical studies exploring the metabolic alterations that occur in the diseased heart.

727
8:39
Utilizing hyperpolarized MRI in prostate cancer to assess metabolic dynamics and histopathologic grade
Kristin L Granlund1,2, Hebert A Vargas1, Serge K Lyashchenko3, Phillip J DeNoble3, Vincent Laudone4, James A Eastham4, Ramon A Sosa1, Matthew Kennedy1, Duane Nicholson1, YanWei W Guo1, Albert Chen5, James Tropp6, Hedvig Hricak1,2, and Kayvan R Keshari1,2

1Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Molecular Pharmacology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Radiochemistry & Imaging Probes (RMIP) Core, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 4Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 5GE Healthcare, Toronto, ON, 6Berkshire Magnetics, Berkeley, CA

A hallmark of prostate cancer is the reprogramming of prostate cancer metabolism which has been exploited for both 31P and 1H MRSI. In recent work, we and others have shown that hyperpolarized substrates can be used in living systems to measure changes in metabolic dynamics. Many studies have focused on the use of HP pyruvate in preclinical models, though the characterization of prostate cancer in man using HP MRI has been limited. In this work, we demonstrate the use of HP pyruvate MRI in prostate cancer patients. We assess the metabolic dynamics to the prostate of pyruvate as well as its conversion to lactate. Moreover we extend this analysis to the comparison of HP lactate to prostate cancer grade showing that not only does this approach have the potential to measure differences in grade it also can provide reproducible metabolic signatures across patients.

728
8:51
Human Hyperpolarized C-13 MRI Using a Novel Echo-Planar Imaging (EPI) Approach
Jeremy W Gordon1, Hsin-Yu Chen1, Peder EZ Larson1, Ilwoo Park1, Mark Van Criekinge1, Eugene Milshteyn1, Robert Bok1, Rahul Aggarwal2, Marcus Ferrone3, James B Slater1, John Kurhanewicz1, and Daniel B Vigneron1

1Radiology & Biomedical Imaging, UCSF, San Francisco, CA, United States, 2Medicine, UCSF, San Francisco, CA, United States, 3Clinical Pharmacy, UCSF, San Francisco, CA, United States

In this pilot study, we developed and applied a specialized symmetric EPI approach for the study of hyperpolarized [1-13C]pyruvate metabolism in the human prostate. We show that this approach can acquire ghost-free hyperpolarized [1-13C]pyruvate and [1-13C]lactate images with high spatiotemporal resolution in a clinical setting. 

729
9:03
In Vivo Visualization of Orbital Immune Cell Infiltration During Early Development of Graves’ Disease by 19F MRI
Ulrich Flögel1, Anja Eckstein2, and Utta Berchner-Pfannschmidt3

1Experimental Cardiovascular Imaging, Heinrich Heine University, Düsseldorf, Germany, 2Ophthalmic Clinic, University Hospital Essen, 3Molecular Ophthalmology, University Hospital Essen

Graves’ disease is an antibody-mediated autoimmune condition of the thyroid gland, which is frequently associated with Graves’ orbitopathy (GO), where inflammation of the orbit results in a detrimental remodeling of the orbital soft tissue. To investigate the molecular basis of GO and evaluate new therapeutic targets for treatment, we used a recently established mouse model of GO and analyzed the interplay of inflammation and adipogenesis using anatomical 1H MRI and 19F MRI for immune cell tracking. Hereby, the infiltration of immune cells could be identified as initial step leading to the remodeling of the orbital soft tissue in GO mice.

730
9:15
19F-perfluorocarbon-labeled human peripheral blood mononuclear cells can be detected in vivo using clinical MRI parameters in a therapeutic cell setting
Corby Fink1, Jeffrey Gaudet2, Matthew S Fox3, Shashank Bhatt4, Sowmya Viswanathan4, Michael Smith1, Joseph Chin5, Paula Foster2, and Gregory Dekaban1

1Microbiology and Immunology, Robarts Research Institute, London, ON, Canada, 2Medical Biophysics, Robarts Research Institute, London, ON, Canada, 3Medical Biophysics, Lawson Health Sciences Centre, London, ON, Canada, 4Cell Therapy Program, Krembil Research Institute, Toronto, ON, Canada, 5Urology, University of Western Ontario, London, ON, Canada

A major hurdle in advancing cell-based cancer vaccines is the inability to track where therapeutic cells migrate post-injection. We present the first study conducted in which primary Good Manufacturing Practice-grade 19Fluorine (19F) labeled all peripheral blood mononuclear cell lineages (PBMC) and 19F cellular MRI was used to track and quantify in vivo migration in a mouse model. Secondly, we present the highest sensitivity for 19F detection reported in the literature and the first time a 1.2cm deep injection of 19F-labeled PBMC using a small dual-tuned surface coil has been detected using a clinical scanner and MR protocol. 

731
9:27
Molecular MR imaging of renal fibrogenesis in a mouse model
Philip Alan Waghorn1, Iris Chen1, Nicholas Rotile1, Chloe Jones1, Diego Ferreira1, Lan Wei2, Bryan Fuchs2, and Peter Caravan1

1A.A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 2Division of Surgery, Massachusetts General Hospital, Boston, MA, United States

The fibrotic deposition and remodeling of extracellular matrix (ECM) proteins to form cross-linked collagen and elastin fibers is a characteristic feature of chronic kidney disease (CKD). Critical to fiber formation is the presence of allysine, which facilitates fibril cross-linking through condensation reactions with neighboring allysine and lysine residues on collagen and elastin.  We have developed a novel Gd-based MR probe, GdOA, designed to target allysine for non-invasive molecular imaging of active fibrogenesis in kidney disease, allowing the onset of fibrogenesis to be detected and provide a quantitative measure of the efficacy of future anti-fibrotic targeted therapies.

732
9:39
Chitin and dibutyrylchitin nanoparticles as imaging enabled vaccine nanocarriers
Barbara Blanco Fernandez1, Yasser A Aldhamen2, Shatadru Chakravarty1, Andrea Amalfitano2, and Erik M Shapiro1

1Radiology, Michigan State University, East Lansing, MI, United States, 2Microbiology and Molecular Genetics, Michigan State University, East Lansing, MI, United States

We describe a strategy for fabricating chitin and dibutyrylchitin –an organo-soluble chitin derivative- nanoparticles (NPs) encapsulating a model antigen (ovalbumin) or iron oxide nanocrystals. The use of MRI enabled the determination of the cell migration of vaccinated cells, allowing the determination of the immunization efficiency in early stages. To form DBC, a reversible acylation of chitin was performed and NPs were fabricated using an emulsification/evaporation method, then chitin was regenerated by alkaline saponification.  NPs had vaccine adjuvant properties and allowed the track of immune cells to lymph nodes, proving their utility as vaccine adjuvants and imaging agents. 

733
9:51
CEST MRI of PSMA expression using natural dextran-based contrast agents
Guanshu Liu1,2, Sangeeta Ray Banerjee2, Xing Yang2, Nirbhay Yadav1, Ala Lisok2, Anna Jablonska2, Jiadi Xu1,2, Yuguo Li1,2, Martin Pomper2, and Peter van Zijl1,2

1F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 2The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States

It is desirable to have non-invasive imaging methods able not only to render the expression and distribution of receptors, enzymes and other targets relevant to cancer, but also have a safety profile enabling use as a screening tool. We have developed an enzyme-targeted MR imaging approach that uses non-metallic, non-radioactive dextran as the imaging agent detected by CEST MRI. Our results indicate that imaging tumors expressing the prostate-specific membrane antigen (PSMA) could be accomplished using urea-conjugated dextran particles that could be detected in micromolar (per particle) concentration by MRI.

734
10:03
Detection of tumor hypoxic region using pH-activatable nanoparticles containing manganese contrast agent
Daisuke Kokuryo1,2, Peng Mi3,4,5, Horacio Cabral6, Tsuneo Saga1, Ichio Aoki1, Nouhiro Nishiyama3,4, and Kazunori Kataoka4,6,7

1Department of Molecular Imaging and Theranostics, National Institute for Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan, 2Graduate School of System Informatics, Kobe University, Kobe, Japan, 3Institute of Innovative Research, Tokyo Institute of Technology, Japan, 4Innovation Center of Nanomedicine (iCONM), Kawasaki Institute of Industry Promotion, Kawasaki, Japan, 5State Key Laboratory of Biotherapy and Cancer Center, Sichuan University, People's Republic of China, 6Graduate School of Engineering, The University of Tokyo, Japan, 7Graduate School of Medicine, The University of Tokyo, Japan

Assessing the environment inside a tumor would aid the development of an effective therapeutic strategy. Our group has recently developed a pH-activatable nanoparticle containing MR contrast agents, which is called MnCaP micelle. For an in vivo tumor model, a specific and strong enhancement of MR signal in the tumor was obtained after the administration. The enhanced area was agreed with the high lactate region found with 1H-MRS and which corresponds to the hypoxic region inside tumor. We conclude that MnCaP micelle detects hypoxic regions in the tumor clearly and therefore it has potential to provide important information for tumor therapy.


Oral

MR-Guided Interventions

Room 320 Wednesday 8:15 - 10:15 Moderators: Michael Bock & Reza Razavi

735
8:15
MRI-guided Needle Biopsy using Augmented Reality
Michael A. Lin1, Jung Hwa Bae1, Subashini Srinivasan2, Steffi L Perkins3, Christoph Leuze2, Brian Hargreaves2, Mark R Cutkosky4, and Bruce Daniel2

1Mechanical Engineering, Stanford University, Stanford, CA, United States, 2Radiological Sciences, Stanford University, CA, United States, 3Bioengineering, Stanford University, CA, United States, 4Mechanical Engineering, Stanford University, CA, United States

We present an augmented reality system that integrates needle shape sensing technology and a visual tracking system to enable a more effective visualization of preoperative MR images during MR-guided needle biopsy procedure. It allows physicians to view 3D MR images of targets within the patient fused onto the patient anatomy as well as a virtual biopsy needle registered to the real needle. This provides what-you-see-is-what-you-get interaction even after the needle is inserted into the opaque body and can improve on current MR-guided needle biopsy by providing a faster tracking, and by enabling real-time interactive procedures based on pre-acquired scans, thus avoiding costly MRI scans.

736
8:27
Real-Time MRI-Guided Targeted Needle Placement During Motion using Rolling-Diaphragm Hydrostatic Actuators
Samantha Mikaiel1,2, James Simonelli3, Yu-Hsiu Lee3, Xinzhou Li1,4, Yong Seok Lee1,5, David Lu1, Kyunghyun Sung1,2,4, Tsu-Chin Tsao3, and Holden H Wu1,2,4

1Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States, 2Biomedical Physics, University of California Los Angeles, Los Angeles, CA, United States, 3Mechanical and Aerospace Engineering, University of California Los Angeles, Los Angeles, CA, United States, 4Bioengineering, University of California Los Angeles, Los Angeles, CA, United States, 5Department of Radiology, Dongguk University Ilsan Hospital, Korea, Republic of

In this work, we present a new version of our hydrostatically actuated system and investigate its accuracy and time efficiency for real-time MRI-guided targeted needle placement in a motion phantom. We show that actuator-assisted needle placement was able to reach the targets with greater accuracy and in less time than free-hand step-and-shoot placement for both static and simulated respiration motion. Our new rolling-diaphragm hydrostatic actuators can potentially enable physicians to remotely perform real-time MRI-guided interventions during motion.

737
8:39
MRI-guided robotic arm (MgRA) to target deep brain nuclei in vivo
Yi Chen1,2, Jan Kevin Schlüsener1, and Xin Yu1

1Research Group of Translational Neuroimaging and Neural Control, High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Graduate School of Neural Information Processing, Tuebingen, Germany

We develop a multiple degree-of-freedom robotic controlling system to target brain nuclei in the rat brain inside the high field (14.1T) MRI scanner. This MRI-compatible robot arm provides high targeting accuracy by using MRI images as a feedback to guide the brain intervention. Meanwhile, an MR-compatible camera-monitored insertion trajectory can be optimized through the controlling software in order to investigate the effectiveness, safety and feasibility of deep brain nuclei targeting for translational application.

738
8:51
Targeted Delivery of Stem Cells to the Brain using Real Time Interventional MRI
Miles E. Olsen1, Scott C. Vermilyea2,3, Jianfeng Lu4, Ethan K. Brodsky1,5, Scott Guthrie2, Yunlong Tao4, Eva M. Fekete6, Marissa K. Riedel6, Kevin Brunner2, Carissa Boettcher2, Viktorya Bondarenko2, Andrew A. Alexander1,2,4,6, Soo Chun Zhang3,7, Marina E. Emborg1,2,3, and Walter F. Block1,8

1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Preclinical Parkinson’s Research Program, University of Wisconsin - Madison, Madison, WI, United States, 3Neuroscience Training Program, University of Wisconsin - Madison, Madison, WI, United States, 4Waisman Center, University of Wisconsin - Madison, Madison, WI, United States, 5Radiology, University of Wisconsin - Madison, Madison, WI, United States, 6Psychiatry, University of Wisconsin - Madison, Madison, WI, United States, 7Neuroscience, University of Wisconsin - Madison, Madison, WI, United States, 8Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States

We present an intraoperative MRI protocol for stereotaxic surgery to precisely deliver induced pluripotent stem cells to targeted locations within the brain of a non-human primate model.  

Previously, these surgeries were performed in stereotaxic operating rooms with no intraoperative imaging, or in a conventional MRI system without real-time guidance. Those environments complicate the goals of ensuring precise cannula tip placement before injection, and being able to perform the desired number of injections during the anesthesia window. Our platform enables surgeons to quickly achieve precise tip placement, and confirm via imaging that cells were deposited at the intended target.


739
9:03
A Method for a Wireless Marker Using a Monopole Antenna for Endovascular Catheter Navigation
Caroline D. Jordan1, Steven W. Hetts1, and Xiaoliang Zhang1

1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States

Inductively coupled RF coils have been used as markers for MR guidance of endovascular catheters using lumped elements, and a monopole antenna could be used as a marker that is more compact and easy to build. We built three prototypes for 3T, acquired GRE sequences and B1+ maps in two orientations, and modeled electromagnetic fields using low and high permittivity dielectric coating on the monopole. Measured Q-factors were 7.6–11.7, scaled experimental B1+ of marker signal were 198–272%, and modeled electric fields were reduced. This work demonstrates feasibility of a monopole antenna as a wireless marker for interventional MRI.

740
9:15
Tissue and device visualization using parallel transmission for interventional MRI
Felipe Godinez1, Joseph Hajnal1, Greig Scott2, Ronald Mooiweer1, Francesco Padormo3, and Shaihan Malik1

1Imaging and Biomedical Engineering, King's College London, London, United Kingdom, 2Electrical Engineering, Stanford University, United States, 3Translational and Molecular Imaging Institute, The Icahn School of Medicine at Mount Sinai, New York, NY, United States

It is demonstrated that parallel transmit (PTx) can be used to both safely visualise tissue (no heating even from high SAR sequences), and safely visualise a wire by direct coupling using low power MR sequences. A low power version of a TSE sequence was found to give the best depiction of the wire when using this method.

741
9:27
Operator Controlled Illumination of Active Catheter Tips using a Variable Attenuator
Ali Caglar Özen1, Thomas Lottner1, Simon Reiss1, Axel Krafft1, Timo Heidt2, Constantin von zur Muhlen2, and Michael Bock1

1Deptartment of Radiology, Medical Physics, Medical Center – University of Freiburg, Freiburg, Germany, 2Department of Cardiology and Angiology, University Heart Center, Freiburg, Germany

Accurate visualization of catheter tip is important in MR-guided interventional procedures, in particular in the coronary arteries where the tip orientation is essential to introduce the catheter into the target vessel. Active catheters generally provide a positive MR signal around the tracking coil at the tip.  In this study, an operator-controlled variable attenuator is attached to an active catheter to enable rapid manual adjustment of the tip signal by the operator. The system was tested in an animal experiment at 3 T, and the active catheter was successfully introduced into the left coronary artery multiple times.

742
9:39
AN MR-SAFE METAL-BRAIDED CATHETER DESIGN FOR INTERVENTIONAL CMR
Burcu Basar1, Korel Yildirim2, Robert J Lederman1, and Ozgur Kocaturk2

1Cardiovascular and Pulmonary Branch, Division of Intramural Research, National Heart Lung and Blood Institute, NIH, Bethesda, MD, United States, 2Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey

Interventional cardiovascular magnetic resonance (iCMR) can enable radiation-free catheterization procedures. However, the lack of MR-safe devices limits clinical iCMR procedures. An MR-safe, metal-braided catheter that avoids RF-heating at 1.5 Tesla was prototyped. RF-heating of the device was eliminated by virtue of segmenting its metal components. RF-safety and mechanical integrity were confirmed through in vitro tests per ASTM standards. The proposed method could be an attractive technique to construct MR-safe metal-braided catheters for iCMR procedures. 

743
9:51
Passive Tracking Sequence with Positive Contrast using Partial Saturation for MR-guided Cardiac Catheterisation
Mari Nieves Velasco Forte1, Kuberan Pushparajah1, Nycholas Byrne2, Mazen Alhrishy1, Bram Ruijsink1, Israel Valverde1,3, Tobias Schaeffter1, Reza Razavi1, and Sébastien Roujol1

1Division of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom, 2Medical Physics, King's College London, London, United Kingdom, 3Cardiovascular Imaging, Institute of Biomedicine of Seville, Seville, Spain

Cardiac MRI-guided catheterization offers an alternative to conventional fluoroscopy. This technique has been used in congenital heart disease for diagnostic purposes using passive tracking methods, with either CO2 or gadolinium filled balloon wedge catheters. The gadolinium filled balloon is easier to visualize. The sequence, real-time bSSFP, can be used with or without saturation prepulse, leading to either suppression of soft tissue signal or poor catheter visualization. We have developed a partial saturation pulse sequence providing high contrast between tissue, blood and balloon. After optimization in phantoms and volunteers, this sequence has shown excellent results during MR-guided catheterization in patients.

744
10:03
Dependence of T2* Relaxation Time of Cardiac Cryo and RF Lesions on Time after Ablation: A New Approach to Non-contrast MRI of Cardiac Ablation Lesions
Eugene G. Kholmovski1,2, Sathya Vijayakumar1,2, and Nassir F. Marrouche2

1UCAIR, Department of Radiology and Imaging Science, University of Utah, Salt Lake City, UT, United States, 2CARMA Center, University of Utah, Salt Lake City, UT, United States

RF and Cryo ablations are being increasingly used for treatment of cardiac arrhythmias. LGE-MRI is widely used for characterization of RF and Cryo lesions. However, LGE-MRI requires contrast injection. Recently proposed native T1w techniques are only useful for visualization of acute (< 3 days) RF lesions. T2* relaxation time of RF and Cryo lesions significantly changes with time after ablation. T2* time of ablated myocardium is considerably lower that T2* time of normal myocardium after 1 week post-ablation. A native T2*-weighted MRI technique which can be used to visualize both RF and Cryo lesions has been developed and validated in animal studies.


Combined Educational & Scientific Session

Demystifying Dielectrics & Understanding Reciprocity

Organizers: Gregor Adriany, Ph.D., Christoph Juchem, Ph.D., Mary P. McDougall, Ph.D. & Greig C. Scott, Ph.D.

Room 314 Wednesday 8:15 - 10:15 Moderators: Cornelis van den Berg & Lukas Winter

8:15
Demystifying Dielectrics
Chris Collins1

1NYU Langone Medical Center

Historical and recent examples of materials having a high relative electric permittivity as used to enhance or even create the electomagnetic fields in MRI for improved performance will be reviewed with an eye to the physical mechanisms by which they can act to improve MRI performance.

8:45
The Principle of Reciprocity
Cornelis A.T. van den Berg1 and Rob Remis2

1Centre for Image Sciences, University Medical Center Utrecht, Netherlands, 2Faculty Electrical Engineering, Mathematics and Computer Science, TU Delft, Delft, Netherlands


745
9:15
Flexible and compact hybrid metasurfaces for enhanced ultra high field in vivo magnetic resonance imaging
Rita Schmidt1, Alexey Slobozhanyuk2,3, Pavel Belov2, and Andrew Webb1

1Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Nanophotonics and Metamaterials, ITMO University, St. Petersburg, Russian Federation, 3Nonlinear Physics Center, Australian National University, ACT 2601, Australia

In previous research it has been shown that high permittivity material pads can be used for global and local RF shimming, as well as local SNR increase. Another recent approach is using metamaterials. In this study we designed a thin, compact and flexible metasurface which consists of metallic strips attached to 8mm thick pad made from a CaTiO3 suspension in water. We show applications of the hybrid metasurface in an examination of the human brain at 7T, concentrating to produce a local increase in the SNR in the occipital cortex for imaging as well as for spectroscopy.    

746
9:27
Improving B1 Field Efficiency and Reducing noise for In Vivo 31P MRSI with Ultrahigh Dielectric Constant Material
Byeong-Yeul Lee1, Xiao-Hong Zhu1, Sebastian Rupprecht2, Michalel T. Lanagan3, Qing X. Yang2, and Wei Chen1

1Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota Medical School, Minneapolis, MN, United States, 2Center for NMR Research, Department of Radiology, The Pennsylvania State College of Medicine, Hershey, PA, United States, 33Department of Engineering Science and Mechanics, The Pennsylvania State College of Engineering, University Park, PA, United States

X-nuclei MRS for human application faces two challenges: high RF power requirement (thus, higher SAR) for achieving the same RF pulse flip angle due to a relatively lower gyromagnetic ratio, and limit of detection sensitivity (or SNR) even at high/ultrahigh field. In this work, we report that by incorporating ultra-high dielectric constant (uHDC) material into the RF head volume coil, huge RF transmit power reduction was observed in the regions near the uHDC pads for 31P MRSI at 7T. Concomitantly, the B1 efficiency for acquiring the spectra was increased about 100%. Strikingly, up to ~20% denoising effect was also observed with the uHDC material. Our results demonstrated that incorporating uHDC with RF coil can significantly boost SNR and reduce SAR in X-nuclei MRS applications; such improvements are beyond the gains obtainable at very high field strength magnet that has approached to its technologic limits.

747
9:39
Improved Image Quality and Decreased Power Deposition in the Spine at 3T using Extremely High Permittivity Materials
Kirsten Koolstra1, Peter Börnert2, Wyger Brink1, and Andrew Webb1

1Radiology, Leiden University Medical Center, Leiden, Netherlands, 2Philips Research Hamburg, Germany

High field MR imaging of the spine suffers from a low transmit efficiency. The aim of this study is to improve the transmit profile of the 3T body coil in the spine region by using extremely high permittivity ceramics. This dielectric shimming approach with novel materials offers the opportunity to improve clinical spine image quality on MR systems that are not equipped with multi-transmit hardware. The developed approach is also compared with RF shimming in terms of image quality and power requirements.

748
9:51
Understanding Reciprocity
Daniel K. Sodickson1,2

1Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States, 2Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY, United States

The principle of reciprocity, as it applies to magnetic resonance, is both remarkably powerful and regrettably easy to misconstrue. As evidence of this fact, each of us with an interest in the operation of radiofrequency coils need only recall the time we have spent trying to understand, in our guts, the difference between transmit and receive sensitivity patterns.  As a respectful supplement to Dr. Hoult’s seminal explications, we here provide a highly streamlined derivation, aimed at bolstering intuition, and offer a simple but fundamental mnemonic to keep your pluses and your minuses straight.

749
10:03
The ultimate intrinsic SNR in a spherical phantom with regard to an open-pole surface current distribution at 9.4T
Andreas Pfrommer1 and Anke Henning1,2

1High-Field MR Center, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Institute of Physics, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany

RF coils for human head imaging need to provide access for the human neck and cannot be entirely closed. In this work, we investigate the ultimate intrinsic signal-to-noise ratio (UISNR) in a spherical phantom due to an open-pole surface current distribution, where the generic surface current patterns run on a spherical cap. The influence of the cap’s opening angle ϑ0 on UISNR, parallel imaging performance and on the contribution of curl-free and divergence-free current patterns to UISNR is studied.


Other

Hands-On Workshop: GE Healthcare 1

Room 322AB Wednesday 8:15 - 10:15 (no CME credit)


Other

Hands-On Workshop: Philips Healthcare 1

Room 324 Wednesday 8:15 - 10:15 (no CME credit)


Plenary Session

Theranostic MRI in Precision Medicine

Organizers: Kristine Glunde, Ph.D. & Natalie J. Serkova, Ph.D.

Plenary Hall Wednesday 10:45 - 11:45

10:45
Magnetic Nanoparticle Theranostics for Brain Tumors
Constantinos G. Hadjipanayis1

1Neurosurgery, Icahn School of Medicine at Mount Sinai

11:05
Theranostic MRI in Oncology
Zaver M Bhujwalla1

1Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins Univ. School of Medicine, Baltimore, MD, United States

11:25
Theranostic MRI in Inflammation & Arthritis
Thoralf Niendorf1, Jason Millward1, and Sonia Waiczies1

1Berlin Ultrahigh Field Facility (B.U.F.F.), Max-Delbrueck Center for Molecular Medicine, Berlin, Germany


Oral

Special Session: Scientific Highlights of the 25th Annual Meeting

Plenary Hall Wednesday 11:45 - 12:15 Moderators: Ileana Hancu & Valeria Panebianco

750
11:45
Dynamic Diffusion MRI Signal Changes Accompany Electrical Activity in Myelinated Axons
William M Spees1,2, Tsen-Hsuan Lin1, Peng Sun1, Sam E Gary1, and Sheng-Kwei Song1,2

1Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, United States, 2Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States

Because of its exceptionally robust nature, the ex vivo frog sciatic nerve has been the subject of numerous electrophysiology and MRI studies over the years. Here we report on diffusion MRI signal changes resulting from 50 and 100 Hz in-magnet electrical stimulation of perfused bullfrog sciatic nerves. The inexpensive perfusion system we have implemented allows for good long-term in-magnet stability and simultaneous MRI/electrophysiology studies. Decreases in water diffusivity and compound action potential conduction velocities accompany prolonged periods of repetitive electrical stimulation. Both of these changes are consistent with hypothesized microstructural alterations of the PNS myelin.  

751
11:50
Separating positive and negative susceptibility sources in QSM
Jingu Lee1, Yoonho Nam2, Joon Yul Choi1, Hyeonggeol Shin1, Taehyun Hwang1, and Jongho Lee1

1Department of Electrical and Computer Engineering, Seoul National University, Seoul, Korea, Republic of, 2Department of Radiology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea, Republic of

We proposed a new QSM algorithm that separates positive and negative susceptibility sources within a voxel by utilizing signal relaxation (R2') for dipole inversion. The new method was tested in computer simulated phantoms and in-vivo data, and successfully separated positive and negative susceptibility sources.

752
11:55
Spatiotemporal analysis of breathing-induced fields in the cervical spinal cord at 7T
S. Johanna Vannesjo1, Karla L. Miller1, Stuart Clare1, and Irene Tracey1

1FMRIB centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom

Time-varying B0 fields related to breathing is one major source of image artifacts in spinal cord imaging at ultra-high field. Here we aim to measure spatial and temporal characteristics of breathing-induced fields in the cervical spinal cord at 7T. We perform a principal component analysis on field measurements based on fast gradient-echo images acquired during free breathing. We observed field variations of about 30Hz at C7 during normal breathing. Furthermore, we observed that a single principal component explained over 90% of the field variance during normal and deep breathing.

753
12:00
Using Machine Learning to study knee Osteoarthritis: the path towards OA Precision Medicine
Valentina Pedoia1, Jenny Haefeli 1, Kazuhito Morioka1, Hsiang-Ling Tang1, Lorenzo Nardo2, Richard B Suoza1, Adam R Ferguson1, and Sharmila Majumdar1

1University Of California, San Francisco, San Francisco, CA, United States, 2Memorial Sloan Kettering Cancer Center, New York, New York, NY, United States

In this study we describe the analysis of a dataset including 178 subjects with and without Osteoarthritis using Topological data analysis (TDA), a machine-learning tool that involves projecting individual patients into the ‘syndromic space’ defined by all outcome variables simultaneously. Demographics, patient reported outcomes Kellgren-Lawrence grading, MRI WORMS morphological grading, cartilage relaxation times, gait kinematics and kinetics during walking were simultaneously considered to define the data topology. TDA shows the presence of subgroups characterized by a strong biochemical signature, showing how this new technique could be used to extract insight from complex data, allowing for more personalized characterization of each individual.

754
12:05
Mapping of Abnormal Aortic Hemodynamics in 515 Patients with Aortopathy
Pim van Ooij 1,2, Michael Markl2,3, Jeremy D. Collins2, James C. Carr2, S. Chris Malaisrie4, Patrick M. McCarthy5, Aart J. Nederveen1, Paul W. M. Fedak6, and Alex J. Barker2

1Radiology, Academic Medical Center, Amsterdam, Netherlands, 2Radiology, Northwestern University, Chicago, IL, United States, 3Biomedical Engineering, Northwestern University, Chicago, IL, United States, 4Division of Surgery-Cardiac Surgery, Northwestern University, Chicago, IL, United States, 5Medicine-Cardiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 6Cardiac Sciences, University of Calgary, Calgary, Canada

4D flow MRI-derived 3D velocity and wall shear stress (WSS) maps in a large cohort of patients with aortopathy (n=515), stratified for valve morphology and stenosis severity, were compared with age-matched cohort-averaged maps of healthy controls (n=56) to yield maps of abnormally elevated hemodynamics. These maps were projected onto shared geometries and summed to map the incidence of abnormal velocity and WSS. Without stenosis, hemodynamics were significantly increased (Bonferroni corrected Mann-Whitney tests) in patients with bicuspid valves compared to patients with tricuspid valves. Incidence of elevated hemodynamics increased similarly for both cohorts (significant differences disappeared) with increasing stenosis severity.


Traditional Poster: Neuro

Exhibition Hall 2165-2197 Wednesday 13:45 - 15:45 (no CME credit)

Electronic Poster: Cardiovascular

Exhibition Hall Wednesday 13:45 - 14:45 (no CME credit)

Electronic Poster: Body: Breast, Chest, Abdomen, Pelvis

Exhibition Hall Wednesday 13:45 - 14:45 (no CME credit)

Study Groups

Musculoskeletal MR Study Group

Room 323ABC Wednesday 13:45 - 15:45 (no CME credit)


Study Groups

Perfusion Study Group

Room 317AB Wednesday 13:45 - 15:45 (no CME credit)


Educational Course

Body MRS: How & Why?

Organizers: Anke Henning, Ph.D., Gregory J. Metzger, Ph.D. & Valeria Panebianco, M.D.

Room 315 Wednesday 13:45 - 15:45 Moderators: Gregory Metzger & Valeria Panebianco

13:45
Prostate Cancer: Proton & Beyond
Tom WJ Scheenen1

1Radiology and Nuclear Medicine, Radboud university medical center, Nijmegen, Netherlands

The use of proton spectroscopic imaging in prostate cancer at clinical field strengths of 1.5 and 3T will be discussed. Moreover, latest developments at 3T, as well as the possibilities of 7T are shown for proton as well as phosphorous spectroscopic imaging, culminating in the ultimate multi-parametric MRI examination...

14:15
Breast Cancer
Uma Sharma

Magnetic resonance imaging (MRI) has high sensitivity for detection of breast cancer but low specificity. Qualitative and quantitative measurements of choline containing (tCho) compounds by MR spectroscopy have shown promise in diagnosis as well as in non-invasive therapeutic assessment of breast cancer. Diffusion weighted imaging (DWI) allows mapping of apparent diffusion coefficient (ADC) of tissues.  The lower ADC value has been reported in malignant compared to benign disease. Use of these techniques in combination has been documented to increase the specificity of MRI. This talk highlights the role of MRS and DWI in breast cancer management.  

14:45
MRS in Hepatic Disease
Gavin Hamilton1

1Department of Radiology, University of California, San Diego, La Jolla, CA, United States

The 1H MR spectrum of the liver is dominated by a water peak and peaks associated with fat.  This talk will examine the technical challenges associated with MRS of fat and water in the liver and examine how to minimize or correct confounders associated with estimation of three tissue properties: Proton Density Fat Fraction, Liver Triglyceride Composition, and Liver Water and Fat Relaxation.

15:15
Cardiac Spectroscopy
Christopher T. Rodgers1

1University of Oxford

Magnetic resonance spectroscopy (MRS)1-4 is a method for non-invasively probing metabolism. The major nuclei studied by MRS methods in the heart include 1H (for measures of fat fraction, creatine content, etc), 31P (for measures of energy transport through the creatine-kinase system in the form of ATP, phosphocreatine, and their kinetics, and for determination of pH), 13C (for stable-isotope tracer studies, and more recently with hyperpolarised pyruvate to study glycolysis), and more recently 17O (to trace oxidative respiration) and other nuclei. This lecture provides an overview of the major methods of cardiac spectroscopy and their contributions to biomedicine.

15:45
Adjournment & Meet the Teachers


Educational Course

Junior Fellows Symposium: Machine Learning in Imaging

Organizers: Jakob Assländer, Ph.D., Steven H. Baete, Ph.D., Adrienne E. Campbell-Washburn, Ph.D., Thijs Dhollander, Ph.D. & Signe Johanna Vannesjö, Ph.D.

Room 313BC Wednesday 13:45 - 15:45 Moderators: Jakob Assländer & Steven Baete

13:45
Machine Learning & Opportunities in MRI
Daniel Alexander1

1UCL

The talk will give an introduction to machine learning and explore opportunities to exploit the technology in MRI development and application.

14:15
Insights into Learning-Based MRI Reconstruction
Kerstin Hammernik1

1Institute of Computer Graphics and Vision, Graz University of Technology, Graz, Austria

In this educational, we give an overview of the current developments in deep learning-based MRI reconstruction of undersampled k-space data. We show the advantages of deep learning-based approaches over compressed sensing approaches in terms of improved image quality and suppressed artifacts. We will also discuss several challenges that are encountered during learning covering the design of a training database, deep network architectures and image quality measures.

14:45
Computer Aided Diagnosis
Dinggang Shen1

1Department of Radiology and Biomedical Research Imaging Center (BRIC), UNC-Chapel Hill

Deep learning is rapidly becoming the state of the art, leading to enhanced performance in various medical applications. In this talk, I will introduce the fundamentals of deep learning methods and their applications in computer-aided diagnosis for Alzheimer's Disease (AD), breast cancer, lung cancer, and brain tumors.

15:15
Introduction by Discussion Leaders
Adrienne Campbell-Washburn1

1National Heart, Lung, and Blood Institute, National Institutes of Health, MD

A panel discussion regarding the role of machine learning in clinical MRI

15:15
Introduction by Discussion Leaders
Thijs Dhollander1

1The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia


15:15
Radiologist vs. Computer: Panel Discussion
Vikas Gulani1

1Radiology, Case Western Reserve University, Cleveland, United States


15:15
Radiologist vs. Computer: Panel Discussion
Susie Y Huang1

1Department of Radiology, Massachusetts General Hospital, Boston, MA, United States

Panel discussion on machine learning

15:15
Radiologist vs. Computer: Panel Discussion
Tim Leiner


15:45
Adjournment & Meet the Teachers


Power Pitch

Pitch: RF Arrays & Systems

Power Pitch Theater A - Exhibition Hall Wednesday 13:45 - 14:45 Moderators: Joseph Risoli & Steven Wright (no CME credit)

755
13:45
Development and Clinical Implementation of Very Light Weight and Highly Flexible AIR Technology Arrays
Shreyas S Vasanawala1, Robert Stormont2, Scott Lindsay2, Thomas Grafendorfer2, Joseph Y Cheng1, John M Pauly3, Michael Lustig4, Greig Scott3, Jorge X Guzman2, Victor Taracila2, Daniel Chirayath2, and Fraser Robb2

1Radiology, Stanford University, Stanford, CA, United States, 2GE Healthcare, 3Electrical Engineering, Stanford University, 4Electrical Engineering and Computer Science, UC Berkeley

756
13:45
The Optimality Principle for MR signal excitation and reception: new physical insights into ideal RF coil design
Daniel K. Sodickson1,2, Riccardo Lattanzi1,2, Manushka Vaidya1,2, Gang Chen1,2, Dmitry S. Novikov1,2, Christopher M. Collins1,2, and Graham C. Wiggins1,2

1Center for Advanced Imaging Innovation and Research (CAI2R) and Bernard and Irene Schwartz Center for Biomedical Imaging (CBI), Department of Radiology, New York University School of Medicine, New York, NY, United States, 2Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY, United States

757
13:45
Self-Decoupled RF Coils
Xinqiang Yan1,2, John C. Gore1,2,3, and William A. Grissom1,2,3

1Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 2Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States, 3Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States

758
13:45
Optically Controlled Four-Channel Transceiver for 7T imaging with RF Monitoring Feedback
Natalia Gudino1, Jacco A de Zwart1, Peter van Gelderen1, and Jeff H Duyn1

1Advanced MRI Section, LFMI,NINDS, National Institutes of Health, Bethesda, MD, United States

759
13:45
Double-Row 16-element Tight-Fit Transceiver Phased Array with High Transmit Performance for Whole Human Brain Imaging at 9.4T.
Nikolai I. Avdievich1, Ioannis A. Giapitzakis1, and Anke Henning1,2

1Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 2Institute of Physics, Ernst-Moritz-Arndt University, Greifswald, Germany

760
13:45
Compact iPRES coil assembly for Magnetic Resonance Fingerprinting
Michael Twieg1, Bhairav B Mehta2, Simone Coppo2, Haoqin Zhu3, Labros Petropoulos3, Hiroyuki Fujita3, and Mark A Griswold4

1Dept of Radiology, Case Western Reserve University, Cleveland Heights, OH, United States, 2Dept of Radiology, Case Western Reserve University, Cleveland, OH, United States, 3Quality Electrodynamics, Mayfield Village, OH, United States, 4Dept of Radiology, Case Western Reserve University, OH, United States

761
13:45
Wireless coil based on meta-technologies for MRI implementations
Alena Shchelokova1, Alexey Slobozhanyuk1,2, Irina Melchakova1, Andrew Webb3, Yuri Kivshar1,2, and Pavel Belov1

1Department of Nanophotonics and Metamaterials, ITMO University, St.Petersburg, Russian Federation, 2Nonlinear Physics Center, Research School of Physics and Engineering, Australian National University, Canberra, Australia, 3Department of Radiology, Leiden University Medical Center, Leiden, Netherlands

762
13:45
Development and performance evaluation of the second prototype of a RF-coil integrated PET insert for existing 3T MRI systems
Md Shahadat Hossain Akram1, Fumihiko Nishikido1, Takayuki Obata1, Mikio Suga2, Eiji Yoshida1, Hedeaki Tashima1, Keiji Shimizu3, Masanori Fujiwara2, Akram Mohammadi1, and Taiga Yamaya1

1National Institute of Radiological Sciences, Chiba, Japan, 2Chiba University, Chiba, Japan, 3Hamamatsu Photonics K.K., Hamamatsu, Japan

763
13:45
Characterization of a new ultra-flexible, low profile RF receive coil technology.
Philip Rossman1, Robert Stormont2, Scott Lindsay2, Fraser Robb2, Dennis Savitskij2, David Stanley2, John Huston1, Timothy Kaufmann1, and Kiaran McGee1

1Department of Radiology, Mayo Clinic, Rochester, MN, United States, 2GE Healthcare, Waukesha, WI

764
13:45
Resonance frequency detection of a stretchable RF receiver coil for MRI
Andreas Mehmann1, Christian Vogt1, Benjamin Sporrer2, Matija Varga1, Qiuting Huang2, and Gerhard Troester1

1Electronics Laboratory, ETH Zurich, Zurich, Switzerland, 2Integrated Systems Laboratory, ETH Zurich, Switzerland

765
13:45
Mary had a little Lamb: Scanner-recorded speech during MRI without gradient-induced sound
Jan Ole Pedersen1,2, Christian Hanson, Rong Xue3, and Lars G. Hanson1,2

1Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Kgs Lyngby, Denmark, 2Centre for Magnetic Resonance, DTU Elektro, Technical University of Denmark, Kgs Lyngby, Denmark, 3State Key Laboratory of Brain and Cognitive Science, Research, Institute of Biophysics, Chinese Academy of Sciences

766
13:45
Dielectric resonator antenna receive array at 7 Tesla using detunable ceramic resonators
Thomas Ruytenberg1 and Andrew Webb1

1Radiology, Leiden University Medical Center, Leiden, Netherlands

767
13:45
Top-Hat Dipole RF Coil with Large Field of View for 7 T Brain MR Imaging
Chang-Hyun Oh1,2,3,4, Chulhyun Lee5, Suchit Kumar3, Jun-Sik Yoon1, Ha-Kyu Jeong6, Jeong-Hee Kim2, Young-Seung Jo1,5, Jong-Min kim1, Christian Bruns7, Tim Herrmann7, Johannes Bernarding7, and Zang-Hee Cho8

1Department of Electronics and Information Technology, Korea University, Seoul, Korea, Republic of, 2Research Institute for Advanced Industrial Technology, Korea University, Sejong City, Korea, Republic of, 3Department of Biomicrosystem Technology, Korea University, Seoul, Korea, Republic of, 4ICT Convergence Technology for Health & Safety, Korea University, Sejong City, Korea, Republic of, 5Korea Basic Science Institute, Cheongju, Chungcheongbuk-do, Korea, Republic of, 6BIU Clinical Science MR, Philips Korea, Seoul, Korea, Republic of, 7Department for Biometrics und Medical Informatics, Otto-von-Guericke University, Magdeburg, Germany, 8Advanced Institutes of Convergence Technology, Seoul National University, Seoul, Korea, Republic of

768
13:45
Bioreactor for in vitro optical fluorescence and magnetic resonance spectroscopy
Benjamin L Cox1,2,3, Joseph M Szulczewski3,4, Kai D Ludwig1, Erin B Adamson1, Robert A Swader2, Sarah A Erickson-Bhatt2,3,4, Patricia J Keely4, Kevin W Eliceiri1,2,3,5, and Sean B Fain1,6

1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Medical Engineering, Morgridge Institute for Research, Madison, WI, United States, 3Laboratory for Optical and Computational Instrumentation (LOCI), University of Wisconsin - Madison, Madison, WI, United States, 4Cell and Regenerative Biology, University of Wisconsin - Madison, Madison, WI, United States, 5Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States, 6Radiology, University of Wisconsin - Madison, Madison, WI, United States

769
13:45
Multimodal Imaging: MR-Compatible, Gradient Artifact free, Wireless recording system integrated with MR-scanner for Simultaneous EEG and fMRI acquisition
Ranajay Mandal1, Nishant Babaria2, Jiayue Cao1, and Zhongming Liu1,2

1Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 2Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States

770
13:45
SUstainable RF-coil for Breast or Other Applications in Research and Development (SURFBOARD)
Christopher John Wiggins1 and Benedikt A Poser2

1Scannexus BV, Maastricht, Netherlands, 2Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands


Power Pitch

Pitch: Post-Processing & Motion

Power Pitch Theater B - Exhibition Hall Wednesday 13:45 - 14:45 Moderators: Ricardo Otazo & Stefan Skare (no CME credit)

771
13:45
cBEaST: Cerebellar Brain Extraction based on Nonlocal Segmentation Technique – A comparison with state-of-the-art methods
Daniel Güllmar1, Viktor Pfaffenrot2,3, Rossitza Draganova2, Xiang Feng1, Jürgen R Reichenbach1, Dagmar Timmann2, and Andreas Deistung1,2

1Medical Physics Group, Institute for Diagnostic and Interventional Radiology, Jena University Hospital – Friedrich Schiller-University, Jena, Germany, 2Section of Experimental Neurology, Department of Neurology, Essen University Hospital, Germany, 3Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany

772
13:45
Signal-model-based water-fat separation in Zero Echo Time (ZTE) MRI
Romain Nicolas Froidevaux1, Markus Weiger1, Po-Jui LU2, and Klaas Paul Pruessmann1

1University and ETH Zurich, Zürich, Switzerland, 2ETH Zurich, Zurich, Switzerland

773
13:45
Suspicious Component Segmentation for Identifying Hippocampal Sclerosis Using Regularized Tissue-Fraction MR Fingerprinting
Kang Wang1, Congyu Liao2, Xiaozhi Cao2, Zhixing Wang2, Dengchang Wu1, Hongjian He2, Qiuping Ding2, and Jianhui Zhong2

1Department of Neurology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, People's Republic of China, 2Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, Zhejiang University, Hangzhou, People's Republic of China

774
13:45
Improved Short-T2* Estimation with Bloch Equation-Modeled Concurrent Excitation and Relaxation
Ethan M Johnson1, Kim Butts Pauly2, and John M Pauly1

1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States

775
13:45
Edge preserving upsampling of image resolution in MRI
Marco Reisert1 and Elias Kellner1

1Dep. of Radiology, Medical Physics, University Medical Center Freiburg, Freiburg, Germany

776
13:45
Motion-compensated reconstruction of fetal cardiac MRI using a golden-angle radial acquisition, retrospective gating, and compressed sensing
Christopher W. Roy1,2, Mike Seed3,4, and Christopher K. Macgowan1,2

1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Physiology and Experimental Medicine, Hospital for Sick Children, Toronto, ON, Canada, 3Pediatric Cardiology, Hospital for Sick Children, ON, Canada, 4Pediatric and Diagnostic Imaging, University of Toronto, Toronto, ON, Canada

777
13:45
From Visualization to Quantification: Calibrating Motion Magnification by Amplified Magnetic Resonance Imaging
Wendy W Ni1, Maged Goubran1, Greg Zaharchuk1, Michael Moseley1, Kristen Yeom1, and Samantha Holdsworth1

1Radiology, Stanford University, Stanford, CA, United States

778
13:45
Assessing the effect of head-motion on tissue volume estimates
Daniel Gallichan1,2

1School of Engineering, Cardiff University, Cardiff, United Kingdom, 2EPFL- CIBM, Lausanne, Switzerland

779
13:45
Prospective motion correction on diffusion weighted imaging: improving data quality with four radio frequency and gradient pulses updates.
Danilo Maziero1, Michael Herbst2, and Thomas Ernst3

1University of Hawaii, Honolulu, HI, United States, 2Department of Radiology, University Medical Center Freiburg, Freiburg, Germany, 3Department of Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, United States

780
13:45
Motion corrected high resolution time-of-flight angiography at 7T using Segmented FatNavs
Frédéric Gretsch1 and Daniel Gallichan2

1EPFL, Lausanne, Switzerland, 2School of Engineering, Cardiff, United Kingdom

781
13:45
Motion correction on a human PET/MR scanner: Clinical feasibility of a motion correction system in patients – an update report
Thomas Küstner1,2, Christian Würslin3, Martin Schwartz2,4, Hadi Fayad5, Thibaut Merlin5, Christopher Gilliam6, Thierry Blu6, Petros Martirosian4, Fritz Schick4, Bin Yang2, Holger Schmidt1, and Nina F Schwenzer1

1Department of Radiology, University of Tuebingen, Tuebingen, Germany, 2Institute of Signal Processing and System Theory, University of Stuttgart, Stuttgart, Germany, 3University of Stanford, Palo Alto, CA, United States, 4Section on Experimental Radiology, University of Tuebingen, Tuebingen, Germany, 5LaTIM, INSERM, University of Bretagne, Brest, France, 6Department of Electronic Engineering, Chinese University of Hong Kong, Hong Kong, Hong Kong

782
13:45
Respiratory motion-corrected simultaneous cardiac PET and coronary MR angiography using a hybrid 3T PET-MR
Camila Munoz1, Radhouene Neji1,2, Gastao Cruz1, Rene Botnar1, and Claudia Prieto1

1Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare, Frimley, United Kingdom

783
13:45
Beyond the biological resolution limit: Prospectively motion corrected Time of Flight angiography at 7T
Hendrik Mattern1, Alessandro Sciarra1, Frank Godenschweger1, Daniel Stucht1, Falk Lüsebrink1, and Oliver Speck1,2,3,4

1BMMR, Otto-von-Guericke-University, Magdeburg, Germany, 2German Center for Neurodegenerative Disease, Magdeburg, Germany, 3Center for Behavioral Brain Sciences, Magdeburg, Germany, 4Leibniz Institute for Neurobiology, Magdeburg, Germany

784
13:45
Implementation of a 2.4 GHz wireless sensing platform for transmission of motion data from within a head coil at 3T.
Adam M.J. van Niekerk1, Andre J. W. van der Kouwe1,2,3, and Ernesta M. Meintjes1

1Division of Biomedical Engineering, Human Biology, University of Cape Town, Cape Town, South Africa, 2Athinoula A. Martinos Center, Massachusetts General Hospital, Charlestown, MA, United States, 3Radiology, Harvard Medical School, Boston, MA, United States

785
13:45
Respiratory Phase-Matched MR-based Attenuation Correction (MRAC) for Four-Dimensional (4D) PET in PET/MRI: A Feasibility Study
Jaewon Yang1, Florian Wiesinger2, Anne Menini2, Jing Liu1, Thomas A. Hope1, Youngho Seo1, and Peder E. Z. Larson1

1Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 2GE Global Research


Oral

Quantification of Microstructure

Room 311 Wednesday 13:45 - 15:45 Moderators: Gareth Barker & Dan Wu

786
13:45
Diffusion MRI of the entire postmortem human spinal cord at microscopic resolution
Evan Calabrese1, Gary Cofer1, Nandan Lad1, and G. Allan Johnson1

1Duke University, Durham, NC, United States

Diffusion MR imaging of the human spinal cord has become increasingly important in both clinical diagnostics, and research science.1 As MRI methods improve, there is a need to understand the limits of diffusion MRI in the human spinal cord. Here, we present a microscopic resolution diffusion MRI dataset of the entire postmortem human spinal cord, generated from a multi-segment acquisition, using an automated image-processing pipeline. These data provide unique insights for spinal cord research, future diagnostic imaging applications, and for postmortem pathologic evaluation of spinal cord specimens.

787
13:57
Diffusion imaging in grade II and III gliomas depends upon new vs recurrent status and enhancing vs nonenhancing status.
Tracy L Luks1, Tracy Richmond McKnight1, Evan Neill1, Llewellyn Lynn Jalbert1, Arie Perry1, Soonmee Cha1, Joanna Phillips1, Annette Molinaro1, Susan Chang1, and Sarah J. Nelson1

1University of California San Francisco, San Francisco, CA, United States

The relationship of diffusion imaging parameters with prognostic histological and molecular factors for patients with grade II and III gliomas is unclear, particularly for tumors that are non-enhancing on post-Gadolinium images. We investigated the relationship of ADC and FA values with histological tumor score, tumor grade, and molecular characteristics for non-enhancing (NE) vs contrast-enhancing (CE) and newly-diagnosed (ND) vs recurrent (REC) disease.  In NE patients, histopathological and molecular characteristics associated with poorer clinical outcome were found to have higher ADC and lower FA. In CE patients, some characteristics associated with poorer outcome hadlower ADC and higher FA.

788
14:09
Prevalence of diffusely abnormal white matter in individuals with clinically isolated syndromes suggestive of multiple sclerosis
Cornelia Laule1,2,3, Jimmy Lee1, Guojun Zhao4,5, Rick White6, Irene M. Vavasour1, Andrew Riddehough4,5, Anthony L. Traboulsee4,5, Luanne Metz7, and David K.B. Li1,4,5

1Radiology, University of British Columbia, Vancouver, BC, Canada, 2Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, 3International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada, 4Medicine (Neurology), University of British Columbia, Vancouver, BC, Canada, 5MS/MRI Research Group, University of British Columbia, Vancouver, BC, Canada, 6Statistics, University of British Columbia, Vancouver, BC, Canada, 7Medicine, University of Calgary, Calgary, AB, Canada

Diffusely abnormal white matter (DAWM) is present in individuals with clinically isolated syndromes (CIS) suggestive of multiple sclerosis (MS) at a similar frequency as seen in definite MS. CIS subjects with DAWM showed reduced brain volume and greater lesion load, both of which are known to correlate with clinical disability and progression. DAWM may have prognostic importance in CIS so examining its impact on conversion to MS, future disability and progression is warranted. 

789
14:21
Decreasing magnetic susceptibility (QSM) of thalamic nuclei in Multiple Sclerosis (MS) – the thalamus as a target of projected inflammation?
Ferdinand Schweser1,2, Ana Luiza Raffaini Duaete Martins1, Fuchun Lin1, Jesper Hagemeier1, Jannis Hanspach1, Bianca Weinstock-Guttman3, Nicola Bertolino1, Dhaval Shah1, Niels P Bergsland1,4, Michael G Dwyer1, and Robert Zivadinov1,2

1Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States, 2MRI Clinical and Translational Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States, 3BairdMS Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, The State University of New York at Buffalo, Buffalo, NY, United States, 4MR Research Laboratory, IRCCS, Don Gnocchi Foundation ONLUS, Milan, Italy

This work studied intra-thalamic magnetic susceptibility changes in 120 patients with clinically isolated syndrome (CIS), relapsing-remitting MS (RRMS), and secondary progressive MS (SPMS). We detected decreased magnetic susceptibility in several nuclear groups of the thalamus in MS patients compared to controls, indicative of decreased iron concentration.

790
14:33
Iron loss occurs in the deep gray matter of multiple sclerosis patients
Enedino Hernández-Torres1,2, Vanessa Wiggermann1,2,3, David K Li2,4,5, Lindsay Machan4, A Dessa Sadovnick5,6,7, Anthony Traboulsee5,6, Simon Hametner8, and Alexander Rauscher1,2

1Department of Pediatrics, Division of Neurology, University of British Columbia, Vancouver, Canada, 2UBC MRI Research Centre, University of British Columbia, Vancouver, Canada, 3Department of Physics and Astronomy, University of British Columbia, Vancouver, Canada, 4Department of Radiology, University of British Columbia, Vancouver, Canada, 5Department of Medicine, Division of Neurology, University of British Columbia, Vancouver, Canada, 6Centre for Brain Health, University of British Columbia, Vancouver, Canada, 7Department of Medical Genetics, University of British Columbia, Vancouver, Canada, 8Department of Neuroimmunology, Center for Brain Research, Medical University of Vienna, Vienna, Austria

In this work, a new approach for looking at the “iron deposition” in deep gray matter is presented. We investigated iron deposition in the deep gray matter indirectly by measuring R2*. In addition, we assessed the normalized volume of the structures of the DGM. We found a stronger association between increases in R2* and volume reductions of the same DGM structures in the MS group compared with the control group. Finally, we corrected the R2* measurements by the volume of the structures (R2*m). The R2*m values were reduced in the MS group suggesting that iron accumulation is not a common feature of MS but on the contrary a redistribution/reduction of the iron takes place, which may be masked by structural atrophy.

791
14:45
Phase imaging of axonal integrity of cranial corticospinal tract in experimental spinal cord injury at 9.4T
Genxia He1,2 and Junchao Qian1

1High Magnetic Field Lab of Chinese Academy of Sciences, Hefei, People's Republic of China, 2Department of Neurology, Anhui Medical University, Hefei, People's Republic of China

Spinal cord injury (SCI) leads to neuronal cell death, axonal damage and demyelination. Brain undergo anatomical changes following SCI. Recently MR phase imaging has shown promising application in visualizing demyelination. In this study we explored the possibility to investigate integrity of cranial corticospinal tract in SCI using phase imaging. Diffusion tensor imaging was also used to verify the axonal integrity. The results showed phase contrast decreased along with axial diffusivity did not significantly change in contralateral pyramid two weeks post-injury compared to pre-injury levels. Thus, phase imaging is a potential endogenous biomarker for brain axonal integrity after SCI.

792
14:57
7 Tesla imaging of microstructural brainstem changes in REM sleep behavior disorder
Marta Bianciardi1, Laura D Lewis1, Lawrence L Wald1, Bruce R Rosen1, and Aleksandar Videnovic2

1Department of Radiology, A.A. Martinos Center for Biomedical Imaging, MGH and Harvard Medical School, Boston, MA, United States, 2Department of Neurology, MGH and Harvard Medical School, Boston, MA, United States

REM-sleep-behavior-disorder (RBD) is characterized by the absence of muscle-atonia during REM-sleep and is thought to be related to a dysfunction of brainstem-nuclei (Bn) of the arousal/motor networks. Yet, a precise identification of the Bn involved in vivo is still missing, thus limiting our understanding of this disease. Through multi-contrast high-spatial-resolution 7Tesla-MRI and a recently developed stereotaxic-Bn-atlas, we consistently detected across RBD-patients microstructural-changes in a subregion of the substantia nigra, consistent with pars reticulata, and in a peri-nigral area. Interestingly, these changes were compatible with the presence of lacunar infarcts, finding that differs from recent reports of nigral iron-accumulation in RBD.

793
15:09
Detecting DISC1 Related Microstructural Abnormalities using Non-Gaussian Diffusion (DKI & NODDI) and QSM: with Histological Validation
Nan-Jie Gong1,2, Russell Dibb3, Kyle Decker3, Mikhail Pletnikov4, Eric Benner3, and Chunlei Liu1,3

1Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA, United States, 2Brain Imaging and Analysis Center, Duke University School of Medicine, 3Duke University School of Medicine, 4Johns Hopkins University School of Medicine

Metrics provided by DKI could be used to detect microstructural changes. However, they bear no explicit neurobiological interpretations. In contrast, the biophysical model of NODDI could provide metrics sensitive to density of neuron. The magnetic susceptibility derived from QSM method can sever as a sensitive biomarker for quantifying density of cells including both neurons and neuroglia. 

794
15:21
A quantitative MRI study of APOE-dependent microstructural differences in young healthy  volunteers using NODDI, qMT and g-ratio
Nicholas G Dowell1, Simon L Evans2, Sarah L King2, and Jennifer M Rusted2

1CISC, BSMS, Brighton, United Kingdom, 2Psychology, University of Sussex, Brighton, United Kingdom

We present the first NODDI, qMT and g-ratio study of microstructural differences between carriers and non-carriers of the APOE-e4 gene. This gene is a risk factor for the development of Alheimer's Disease later in life. Our work shows that the more specific microstructural measures offered by the  NODDI technique has revealed an increase in the non-tissue (Viso) component in the brain among APOE-e4 carriers. Importantly, the other NODDI parameters and g-ratio show no difference suggesting that although the tissue component among APOE-e4 carriers is reduced, there is no detectable difference to the underlying microstructure. This important finding has not been shown before, and supports the large body of evidence that shows young healthy APOE-e4 carriers are not disadvantaged across a number of cognitive domains and (in some tasks) out-perform their non-e4 peers.

795
15:33
Spatial and Temporal Relationship between Microstructural and Morphological Abnormalities of Alzheimer’s disease: Evidence in Cortical and Deep Gray Matter
Nan-Jie Gong1,2, Chun-Chung Chan3, Lam-Ming Leung3, Chun-Sing Wong4, Russell Dibb5, and Chunlei Liu5,6

1University of California Berkeley, Berkeley, CA, United States, 2Brain Imaging and Analysis Center, Duke University School of Medicine, Durham, NC, United States, 3United Christian Hospital, Hong Kong, 4The University of Hong Kong, Hong Kong, 5Duke University School of Medicine, 6Electrical Engineering and Computer Sciences, University of California Berkeley, Berkeley, CA, United States

Non-Gaussian diffusion metrics such as MK from DKI can complement conventional MD and FA for detecting microstructural changes, especially in deep gray matter. This can potentially improve the efficacy of diffusion metrics for serving as diagnostic imaging biomarkers. We also provided evidence supporting the proposed notion that microstructural changes in cortical and deep gray matter predate macrostructural changes such as volume and cortical thickness. 


Oral

Vascular Imaging: Lumen, Vessel Wall & Function

Room 312 Wednesday 13:45 - 15:45 Moderators: René Botnar & Xihai Zhao

796
13:45
Volumetric blood flow measurement with territorial segmentation of time-resolved contrast enhanced magnetic resonance angiography of the brain
Oren Geri1,2, Shelly I. Shiran3, Jonathan Roth4, Moran Artzi1, Liat Ben-Sira3, and Dafna Ben Bashat1,2,5

1Functional Brain Center, The Wohl Institute for Advanced Imaging, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 2Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel, 3Department of Radiology, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 4Department of NeuroSurgery, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel, 5Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel

We propose a method for territorial segmentation and volumetric flow rate (VFR) measurement based on time-resolved contrast enhanced MR-angiography. Eight territories: right/left internal carotid arteries; the two anterior cerebral arteries (combined); the right/left external carotid arteries; the right/left posterior cerebral arteries; and the vertebrobasilar territory, were segmented using an iterative region-growing algorithm based on the bolus-arrival-time with increased temporal resolution. VFR was measured based on the territorial volume as a function of time. Healthy subjects' VFR results were similar to literature values. The clinical potential of this method is demonstrated on one patient with Moyamoya before and after surgery.

797
13:57
Coronary Plaque Hyper-Intensity on Dark-Blood T1-Weighted MRI Helps Identify Lesion-Specific Ischemia: Insights from the Comparison Study with Invasive Fractional Flow Reserve (FFR)
Yibin Xie1, Young-Jin Kim2, Sang-Eun Lee3, Jianing Pang4, Anthony Christodoulou1, Qi Yang1, Zixin Deng1, Daniel Berman5, Hyuk-Jae Chang3, and Debiao Li1

1Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea, Republic of, 3Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Seoul, Korea, Republic of, 4Siemens Healthcare, Chicago, IL, United States, 5Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States

Coronary Atherosclerosis T1-weighted Characterization (CATCH) is an accelerated MR technique for detecting high-risk atherosclerotic lesions. However, the relationship between plaque signal and lesion-specific ischemia is still unclear. In this study we applied CATCH in a patient cohort undergoing invasive FFR and discovered the association between plaque hyper-intensity and hemodynamic functional significance. The results presented here support the potential clinical utility and added value of MR coronary plaque characterization as a “gate-keeper” for invasive and costly coronary procedures.

798
14:09
Multi-contrast Acquisition in a Single Scan (MASS) for Three-dimensional Quantitative T1 Mapping of Carotid Atherosclerosis
Haikun Qi1, Huiyu Qiao1, Shuo Chen1, Zechen Zhou2, Xinlei Pan1, Yishi Wang1, Chun Yuan1,3, and Huijun Chen1

1Center for Biomedical Imaging Research, School of Medicine, Tsinghua University, Beijing, People's Republic of China, 2Philips Research China, Shanghai, People's Republic of China, 3Department of Radiology, University of Washington School of Medicine, Seattle, WA, United States

Intra-plaque hemorrhage (IPH) is a dynamic process and change of the IPH MR signal was found to be correlated with plaque developments. So quantitative T1 mapping of plaque is essential to monitor plaque progression. In this study, we proposed an IR prepared 3D golden angle radial sampling sequence, enabling multiple T1 contrasts acquisition in a single scan (MASS) with application to carotid artery T1 mapping. The accuracy and feasibility of MASS was demonstrated in phantom studies and in vivo imaging experiments on healthy volunteers and carotid atherosclerosis patients. MASS may be a one-stop solution to carotid atherosclerotic plaque imaging.

799
14:21
Assessment of Carotid Atherosclerotic Disease Using 3D Simultaneous Non-contrast Angiography and Intraplaque Hemorrhage (SNAP) imaging: Comparison with Digital Subtraction Angiography
Huilin Zhao1, Jianrong Xu1, Xiaosheng Liu1, Beibei Sun1, Weibo Chen2, Chun Yuan3, and Xihai Zhao4

1Radiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China, 2MR Clinical Science, Philips Healthcare, Greater China, People's Republic of China, 3University of Washington, WA, United States, 4Center for Biomedical Imaging Research,Department of Biomedical Engineering, Tsinghua University, Beijing, People's Republic of China

3D fast Simultaneous Non-contrast Angiography and intraPlaque hemorrhage (SNAP) imaging was recently proposed as a technique for joint MRA and intraplaque hemorrhage (IPH) imaging. This study sought to determine the accuracy of this technique at quantifying carotid atherosclerosis disease compared to conventional intra-arterial digital subtraction angiography (DSA) in patients with at least 50% carotid stenosis. We found that 3D SNAP imaging had excellent agreement with DSA in measuring luminal stenosis and identification of ulceration in carotid arteries. Our findings suggest that, SNAP imaging might be a potential candidate technique for comprehensive evaluation of carotid high-risk atherosclerotic disease.

800
14:33
Measuring Local Pulse Wave Velocity in the Carotid Arteries using a Compressed Sensing reconstruction for high temporal resolution (4 ms) 2D PC CINE MRI
Eva S Peper1, Wouter V Potters2, Abdallah G Motaal3, Pim van Ooij1, Aart J Nederveen1, Gustav J Strijkers4, and Bram F Coolen4

1Department of Radiology, Academic Medical Center, Amsterdam, Netherlands, 2Neurologie en Klinische Neurofysiologie, Academic Medical Center, Amsterdam, Netherlands, 3Imaging Clinical Applications and Platform, Philips Healthcare, Netherlands, 4Department of Biomedical Engineering & Physics, Academic Medical Center, Amsterdam, Netherlands

Measuring PWV with MRI would provide a useful tool to measure arterial stiffness locally. However, the limitation of MRI for this implementation is temporal resolution. This study validates a technique to measure local PWV at up to only 5 cm of the carotid arteries using 2D PC CINE MRI data of a high temporal resolution compressed sensing (CS) reconstruction. The method is validated using a pulsatile flow phantom and two groups of 10 elderly and 10 younger healthy volunteers. A significant difference between age groups was found.

801
14:45
Automatically Identify Plaque Components in Carotid Artery using Simultaneous Non-Contrast Angiography and intraPlaque hemorrhage (SNAP) imaging
Qiang Zhang1, Huiyu Qiao1, Shuo Chen1, Zhensen Chen1, Xihai Zhao1, Chun Yuan2, and Huijun Chen1

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, People's Republic of China, 2Department of Radiology, University of Washington

The purpose of this study is to develop an automatic method to identify plaque components using a single 3D Simultaneous Non-Contrast Angiography and intraPlaque hemorrhage (SNAP) acquisition. Using artifact neural network classifier with the intensities of multiple images generated from SNAP and the morphology information, the automatic identified components area has a high correlation with manual segmentation on 2D multi-contrast MR images: 0.82 (necrotic core), 0.79 (calcification) and 0.88 (fibrous tissue). This study further enhanced ability of 3D SNAP sequence in plaque components identification, suggesting SNAP would be a practical clinical solution for carotid atherosclerotic plaque evaluation.

802
14:57
Longitudinal Analysis of Vascular Inflammation and Intraluminal Thrombus Composition using High Resolution MRI in Abdominal Aortic Aneurysms
Chengcheng Zhu1, Bing Tian2, Joseph Leach1, David Saloner1, and Michael D Hope1

1Radiology, University of California, San Francisco, San Francisco, CA, United States, 2Radiology, Changhai Hospital, Shanghai, People's Republic of China

Clinical management of abdominal aortic aneurysm (AAA) disease is based on the maximal diameter. Vascular inflammation and intraluminal thrombus (ILT) composition have been explored as novel imaging markers of progressive AAA disease, but studies to date have been limited by short follow-up time (~6 month). We followed 37 patients for an average of 4 years using CT/CTA and high resolution black-blood MRI. Our results show that inflammation identified by delayed ultrasmall superparamagnetic iron oxide (USPIO) particle uptake was strongly associated with AAA growth and/or intervention, whereas ILT composition was not. Imaging of vascular inflammation may improve AAA patient risk stratification.

803
15:09
Simultaneous acquisition of MR angiography and diagnostic images on contrast-enhanced view-sharing multi-arterial phases
Yoshifumi Noda1, Satoshi Goshima1, Kimihiro Kajita1, Hiroshi Kawada1, Nobuyuki Kawai1, Hiromi Koyasu1, Masayuki Matsuo1, Tomohiro Namimoto2, Norihiro Shinkawa3, Masataka Nakagawa2, Toshinori Hirai3, and Yasuyuki Yamashita2

1Department of Radiology, Gifu University, Gifu, Japan, 2Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, Japan, 3Department of Radiology, Faculty of Medicine, University of Miyazaki, Japan

While magnetic resonance angiography (MRA) is clinically used to evaluate vascular anatomy, whereas it needs independent scan leading to a decreased throughput. We generated MRA using early phase images in the contrast-enhanced multi-arterial phase images with view-sharing technique. Aortic branches and anatomical anomalies were clearly visualized on MRA without significant differences in contrast effect and conspicuity regardless of contrast material with different r1 value (gadoterate meglumine and gadobutrol).

804
15:21
In Vivo Magnetic Resonance Elastography of Abdominal Aortic Aneurysm in A Porcine Model
Huiming Dong MS1,2, Matthew Joseph BS3, Prateek Kalra MS1, Xiaokui Mo PhD4, Richard White MD1,5, Rizwan Ahmad6, and Arunark Kolipaka PhD1,2,5

1Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH, United States, 2Department of Biomedical Engineering, The Ohio State University, Columbus, OH, United States, 3Dorthy M. Davis Heart and Lung Research Institute Interventional Cardiology Cath Core Lab, The Ohio State University Wexner Medical Center, Columbus, OH, United States, 4Center for Biostatistics, The Ohio State University Wexner Medical Center, Columbus, OH, United States, 5Department of Internal Medicine-Cardiology, The Ohio State University Wexner Medical Center, Columbus, OH, United States, 6Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH, United States

Abdominal aortic aneurysm (AAA) can result in life-threatening aortic rupture. Although AAA diameter is utilized for assessing rupture risk clinically, it is a poor indicator of rupture potential. Aortic stiffness is an important biomechanical property that can provide critical information about the overall mechanical integrity of AAA and thus  results in more accurate rupture risk evaluation.Therefore, the aim of this study is to utilize non-invasive in vivo MRE to estimate aortic stiffness in AAA-induced animal models, and compare it with the stiffness obtained from ex vivo mechanical testing as well as AAA diameters.

805
15:33
Robust MR Lymphangiography using DARC-MRL: Evaluation of Venous Suppression and Strategies for More Efficient Clinical Examinations
Jeffrey H Maki1, Beth A Ripley1,2, Neeraj Lalwani1, Noah Briller1, Peter C Neligan3, and Gregory J Wilson1

1Radiology, University of Washington, Seattle, WA, United States, 2Diagnostic Services, Puget Sound VA HCS, Seattle, WA, United States, 3Plastic Surgery, University of Washington, Seattle, WA, United States

Dual Agent Relaxation Contrast MR Lymphangiography (DARC-MRL) effectively eliminates venous enhancement through the up-front i.v. injection ferumoxytol (USPIO causing marked blood T2* shortening) combined with obtaining MRL datasets at prolonged, precisely determined echo times.  Echo time prolongation does cause an approximately 45% loss of lymphatic signal intensity, however with excellent lymphatic-to-tissue contrast, there was no clinically significant lymphatic signal loss.   Data regarding the time course of lymphatic enhancement progression demonstrate most MRL enhancement can be fully captured in only two time points, allowing for a more efficient, faster examination.  Multi-echo DARC offers to add further robustness and visualization capability.


Oral

Pediatric Brain Development

Room 313A Wednesday 13:45 - 15:45 Moderators: Petra Huppi & Jeff Neil

806
13:45
Quantitative assessment of the fetal brain myelination in vivo using fast macromolecular proton fraction mapping
Alexandra M. Korostyshevskaya1, Irina Yu. Prihod'ko1, Andrey A. Savelov2, and Vasily L. Yarnykh3,4

1Medical Diagnostics, International Tomography Center of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russian Federation, 2International Tomography Center of the Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russian Federation, 3Radiology, University of Washington, Seattle, WA, United States, 4Tomsk State University, Tomsk, Russian Federation

Macromolecular proton fraction (MPF) is a biophysical parameter describing cross-relaxation and closely correlated with myelin content in neural tissues. This study presents the first evaluation of the fast MPF mapping method in prenatal clinical neuroimaging and suggests that MPF in the fetal brain structures is sensitive to the earliest stages of myelin development.

807
13:57
Anatomically constrained tractography and structural connectome of the neonatal brain
Manuel Blesa1, Ahmed Serag1, Devasuda Anblagan1,2, Emma J. Telford1, Sarah A. Sparrow1, Scott I. Semple3, Mark E. Bastin2, and James P. Boardman1,2

1MRC Centre for Reproductive Health, University of Edinburgh, edinburgh, United Kingdom, 2Centre for Clinical Brain Sciences, University of Edinburgh, edinburgh, United Kingdom, 3Clinical Research Imaging Centre, University of Edinburgh, edinburgh, United Kingdom

The Anatomically-Constrained Tractography framework (ACT) is an advanced method to create tractography that relies on very accurate segmentation of the brain. To evaluate its role in tractography of the developing brain, we optimised the pipeline for neonatal data and compared against other methods (FA and WM seeding, with deterministic and probabilistic algorithms) used for the computation of neonatal structural connectivity. The results suggest that ACT with seeding at the GM / WM interface enhances anatomic accuracy of neonatal tractography, compared with other methods, and it has a significant impact on network measures.

808
14:09
The short-range association fibers underlie brain network reconfiguration in typically and atypically developing children
Minhui Ouyang1, Jennifer Muller1, Hua Cheng2, Yun Peng2, J. Christopher Edgar1,3, John A. Detre3,4, Timothy P.L. Roberts1,3, and Hao Huang1,3

1Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2Radiology, Beijing Children's Hospital, Capital Medical University, Beijing, People's Republic of China, 3Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 4Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

Short-range association fibers (SAF) or U-fibers, connect adjacent gyri and constitute the majority of brain white matter. During development, SAF undergo dramatic changes in conjunction with brain network reconfiguration. How SAF reshape the brain network configuration during typical and atypical development is unknown. In this study, SAF was quantified with an index defined as normalized short-range association fibers (NSAF). We found that NSAF decreases were associated with increases in brain network efficiency in the typical developing brain from 2-7 years. Similar association were not observed in children with autism. 

809
14:21
Multimodal thalamocortical connectivity patterns in early brain development
Silvina Laura Ferradal1, Borjan Gagoski2, Camilo Jaimes Cobos3, Francesca Yi1, Clarissa Carruthers1, Catherine Vu1, Ryan Larsen4, Brad Sutton4, P. Ellen Grant1, and Lilla Zollei3

1Newborn Medicine, Boston Children's Hospital, Boston, MA, United States, 2Radiology, Boston Children's Hospital, Boston, MA, United States, 3Massachussetts General Hospital, Boston, MA, United States, 4University of Illinois at Urbana-Champaign, Urbana, IL, United States

Understanding normal thalamocortical organization in early brain development has significant clinical relevance as it could provide early indicators of neurodevelopmental disorders which could originate from alterations in functional and structural brain maturation. Here we show structural and functional thalamocortical connectivity patterns derived from twenty healthy term infants scanned within the first weeks of life. Our results show that while there is a general good spatial agreement between both modalities, there are certain regions that exhibit different thalamocortical patterns. These discrepancies are possibly mediated by maturational processes such as axonal myelination and synaptogenesis.

810
14:33
Socioeconomic Status Influences Early Longitudinal Cortical and Subcortical Development
Justin Remer1, Douglas C Dean III2, and Sean C.L. Deoni1,3

1Advanced Baby Imaging Lab, Department of Engineering, Brown University, Providence, RI, United States, 2Waisman Center, University of Wisconsin Madison, Madison, WI, United States, 3Department of Pediatric Radiology, Children's Hospital Colorado, Aurora, CO, United States

Brain development may be influenced by socioeconomic status (SES), a marker of a family’s income and parental education.  SES differences may result in exposure to extra stress during critical periods of neurodevelopment.  We performed the first longitudinal analysis of differential brain development in 70 healthy infants and young children (1 year to 6 years of age) stratified by familial SES using high resolution T1 MRI.  We demonstrated that trajectories of subcortical and cortical maturation are significantly different between infants and children from low and high SES families over the first 6 years of life. 

811
14:45
Novel Functional Brain Development Patterns during Infancy Revealed through the Application of Functionally Derived Brain Parcellations
Feng Shi1, Andrew P Salzwedel1, Weili Lin2, John H Gilmore3, and Wei Gao1

1Biomedical Imaging Research Institute, Cedars Sinai Medical Center, Los Angeles, CA, United States, 2Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 3Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

Signal heterogeneity within the predefined regions of interest (ROIs) may confound the functional connectivity estimation. In this study, we generate brain parcellations for neonate, 1-year, and 2-year-old infants, respectively, and use them to reveal potential novel functional developmental patterns. Our results show the progression of local functional specialization during early brain development. Moreover, different patterns of hub distributions are observed using different functional parcellation schemes suggesting the importance of selecting appropriate functionally-derived brain parcellations in characterizing infant whole brain connectivity pattern.

812
14:57
Comparison of NODDI and WMTI microstructural parameters in typical development
Kirsten M. Lynch1, Farshid Sepehrband1, Arthur W. Toga1, and Kristi A. Clark1

1Laboratory of Neuro Imaging, University of Southern California, Los Angeles, CA, United States

Childhood and adolescence is an extended period of postnatal maturation characterized by dynamic changes in white matter microstructure. Multi-shell diffusion MRI (dMRI) models, such as neurite orientation dispersion and density imaging (NODDI) and white matter tract integrity (WMTI) provide an invaluable measure for the study of child development with tissue compartment estimates. NODDI and WMTI are based on similar frameworks, however they differ in several model assumptions. This study provides a comparison of NODDI and WMTI intra-axonal volume fraction model fittings in a cohort of children ages 0 -18 years in order to determine which model best reflects neurodevelopmental features. 

813
15:09
Pubertal contributions to white matter apparent fibre density in late childhood: a fixel-based analysis
Sila Genc1,2, Marc Seal1,2, Thijs Dhollander3, Charles B Malpas2,4, Philip Hazell5, and Timothy J Silk1,2

1Department of Paediatrics, The University of Melbourne, Melbourne, Australia, 2Developmental Imaging, Murdoch Childrens Research Institute, Melbourne, Australia, 3The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, 4Department of Medical Education, The University of Melbourne, Melbourne, Australia, 5Discipline of Psychiatry, The University of Sydney, Sydney, Australia

Recent evidence supports the contribution of pubertal stage to local and global grey and white matter remodelling. Using fixel-based analyses, we show that pubertal children have greater apparent fibre density in the splenium of the corpus callosum compared with age-matched pre-pubertal children. This finding suggests that pubertal onset itself, rather than chronological age, drives the remodelling of white matter microstructure – which is an important consideration for assessing biological age. This is particularly important for studying paediatric and adolescent populations, as pubertal stage may be an important factor to consider in addition to chronological age.

814
15:21
In vivo measurement of g-ratio in the Corpus Callosum using the macromolecular tissue volume: evaluating changes as a function of Callosal subregions, age and sex.
Shai Berman1, Jason Yeatman2, and Aviv Mezer1

1The Edmond and Lily Safra Center for Brain Science, The Hebrew University of Jerusalem, Jerusalem, Israel, 2The Institute for Learning & Brain Sciences and the Department of Speech and Hearing Sciences, The University of Washington, Seattle, WA, USA.

Recent developments in quantitative and diffusion MRI, have made it possible to estimate the axonal g-ratio in human white-matter in-vivo. g-ratio is the ratio between the inner and outer radii of the myelin sheath wrapped around the axon. We suggest a simplified measurement of g-ratio incorporating proton density mapping, and implement it in the Corpus-Callosum of 100 subjects (ages 8-80). We find the g-ratio values agree with previously results. Furthermore, g-ratio values are stable over the lifespan and between the sexes. These results converge with theoretical evidence suggesting g-ratio has an optimal value for white-matter function.

815
15:33
Greater Relaxivity in Brain Regions Indicates Tissue Iron Deposition in Adolescence to Adulthood
Eric Thomas Peterson1, Dongjin Kwon1, Beatriz Luna2,3,4, Bart Larsen2, Devin Prouty1, Edith Vioni Sullivan5, and Adolf Pfefferbaum1

1Biosciences, SRI International, Menlo Park, CA, United States, 2Psychlogy, University of Pittsburgh, Pittsburgh, PA, United States, 3Center for the Neural Basis of Cognition, Pittsburgh, PA, United States, 4Western Psychiatric Institute and Clinic, University of Pittsburgh Medical Center, Pittsburgh, PA, United States, 5Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, United States

This study investigates non-heme iron deposition in the adolescent brain in specific iron-susceptible regions as a function of age, sex, body mass index, supratentorial brain volume, handedness, scanning site, and race. A large cohort of 531 healthy adolescents, ages 12 to 22 years, were scanned at five sites on GE and Siemens systems using standard DTI and fMRI pulse sequence. This study demonstrates that in bilateral pallidum, putamen, dentate nucleus, red nucleus, and substantia nigra, both T2 and T2* show age-related declines. These results suggest ferratin-encapsulated iron deposition in specific brain regions is associated with normal adolescent brain development.


Oral

Renal Imaging: Structure & Function

Room 314 Wednesday 13:45 - 15:45 Moderators: Siarhei Kharuzhyk & Diego Martin

816
13:45
An MR compatible kidney perfusion system to assess kidney function and organ preservation.
Abhishek Pandey1,2, Catherine Min3, Zhitao Li1,2, Kevin Johnson4, Leah Steyn3, William Purvis3, Robert C. Harland5, Klearchos K. Papas5, Puneet Sharma6, Diego R Martin1, Manojkumar Saranathan1, and Jean-Philippe Galons1

1Medical Imaging, University of Arizona, Tucson, AZ, United States, 2Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States, 3Physiological Sciences, University of Arizona, Tucson, AZ, United States, 4Siemens Medical Solutions USA, Inc., United States, 5Surgery, University of Arizona, Tucson, AZ, United States, 6Radiology and Imaging Sciences, Emory University Hospital, Atlanta, GA, United States

A MR-compatible kidney perfusion system is presented to assess the quality of kidney preservation schemes for transplantation. DCE-MRI is used to estimate and compare the glomerular filtration rate (GRF) in kidneys following a 24 hrs cold gaseous oxygen perfusion (persufflation) Vs a standard 24 hrs cold ischemic storage.

817
13:57
The comparative study of MR renography versus 99mTc-DTPA renal scintigraphy for determining split renal function of the transplanted kidney
Jing Wang1, Yang Fan2, and Yudong Zhang3

1Center for Medical Device Evaluation, CFDA, Beijing, People's Republic of China, 2MR Research China, GE Healthcare, Beijing, People's Republic of China, 3Department of Radiology, the First Affiliated Hospital with Nanjing Medical University, Nanjing, People's Republic of China

The evaluation of split kidney function is of clinical significance for patients after renal transplantation. This study explored two available approaches, dynamic MR renography vs. 99mTc-DTPA clearance, for determining split renal GFR in 57 transplanted patients. MR-based GFR was measured using an established Baumann-Rudin model, modified two-compartment and three-compartment model. MR results were compared with 99mTc-DTPA, using 24-h creatinine clearance rate as a reference. MRR using a 2C model had significantly higher accuracy (r = 0.925) than 99mTc-DTPA clearance (r = 0.317), thus could be a more promising way for evaluation of transplanted kidney function.

818
14:09
Initial experience with magnetic resonance elastography and acoustic radiation force impulse elastography in renal transplant patients
Paul Kennedy1, Octavia Bane1, Sonja Gordic1, Cecilia Besa1, Stefanie Hectors1, Mathilde Wagner1,2, Rafael Khaim3, Madhav Menon3, Vinay Nair3, Sara Lewis1, and Bachir Taouli1

1Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Radiology, Groupe Hospitalier Pitié Salpêtrière, Paris, France, 3Recanati Miller Transplantation Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States

In this prospective study we compared renal transplant stiffness measured with MRE and ARFI ultrasound in 9 patients. Repeatability of both modalities was determined through test-retest imaging in 5 patients. MRE stiffness was significantly lower than ARFI stiffness as expected. MRE test-retest repeatability was excellent with mean coefficient of variation (CV) of 6%, while ARFI had CV of 30%. In addition, ARFI measurements exhibited a high inter-quartile range in the majority of cases suggesting inconsistency in the measurements. Our results suggest MRE is a more robust choice for renal transplant measurement compared to ARFI.

819
14:21
In vivo multifrequency MR elastography for the assessment of renal stiffness in patients with IgA nephropathy
Jing Guo1, Stephan Marticorena Garcia 1, Michael Dürr2, Florian Dittmann1, Sebastian Hirsch1, Jürgen Braun3, and Ingolf Sack1

1Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany, 2Department of Nephrology, Charité - Universitätsmedizin Berlin, Berlin, Germany, 3Department of Medical Informatics, Charité - Universitätsmedizin Berlin, Berlin, Germany

Renal stiffness was investigated using multifrequency MRE in healthy controls and patients with IgA nephropathy. Patients show a reduced renal stiffness as compared to healthy controls. DWI and BOLD imaging were also applied to the subjects. Both ADC and T2* were linearly correlated with wave speed obtained from MRE. By mechanical vascular-solid tissue interactions, wave speed measurements by multifrequency MRE offer a quantitative measure for the noninvasive assessment renal function.  

820
14:33
Using Cardiorenal MRI to assess fluid balance
Chris Bradley1,2, Damian Bragg2, Eleanor F Cox1,2, Ahmed M El-Sharkawy2, Abeed H Chowdhury2, Dileep N Lobo2, and Susan T Francis1,2

1Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom, 2NIHR Nottingham Digestive Diseases Biomedical Research Unit, University of Nottingham, Nottingham, United Kingdom

We used quantitative MRI measurements to perform a randomised, double-blind crossover study on the effects of isovolumetric and isoeffective infusions of colloid versus crystalloid on structural and haemodynamic (ASL, ADC, flow, volume) changes in the kidney and cardiac output. No significant differences were observed between the blood expanding properties of the infusions, despite using a colloid infusion one-third the volume of the reference crystalloid infusion. We observed a trend of less oedema using an isoeffective volume of colloid. Repeated MRI measurements demonstrated low CoVs, allowing MRI to assess subtle changes in structure and haemodynamics for determining optimal perioperative infusions.

821
14:45
Inter-rater Reliability and Translational Implications of MR-based Polycystic Kidney Volume Measurements by Stereology at Early and Late Stage Disease
Rebecca J. Lepping1, Rainer T. Karcher1, Paul Keselman1, Darren P. Wallace2, Alan Yu2, Laura E. Martin1,3, and William M. Brooks1,4

1Hoglund Brain Imaging Center, University of Kansas Medical Center, Kansas City, KS, United States, 2Medicine-Nephrology, University of Kansas Medical Center, Kansas City, KS, United States, 3Preventive Medicine and Public Health, University of Kansas Medical Center, Kansas City, KS, United States, 4Neurology, University of Kansas Medical Center, Kansas City, KS, United States

Autosomal dominant polycystic kidney disease (ADPKD) is characterized by the presence of fluid-filled cysts that grow over time.  Total kidney volume (TKV) is one of the main biomarkers of disease progression, and is estimated through the technique of stereology.  We tested whether patients’ kidney size impacted inter-rater reliability using the same stereology protocol.  Stereology yielded excellent inter-rater reliability at both early and late stage disease, however, some pathology would still benefit from expert guidance in determining kidney tissue.  This technique can easily be translated to animal models of ADPKD.

822
14:57
Quantitative Volumetric Histogram Analysis of Diffusion-weighted Magnetic Resonance Imaging: An Initial Experience of Solid Renal Cell Carcinoma with Different Prognosis
Anqin Li1, Zhen Li1, Haojie Li1, and Daoyu Hu1

1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China

To evaluate the value of quantitative volumetric ADC histogram analysis for differentiation of clear cell RCC (ccRCC) from papillary RCC (pRCC) and chromophobe RCC (chRCC) which having different prognosis. Differences of ADC histogram parameters between better prognosis group and worse prognosis group were compared. There were significant differences on ADCmean, ADCmedian, ADC10%, ADC25%, ADC75%, ADC90% and skewness between these two different prognosis groups and the ADC10% showed the best diagnostic value. Therefore, quantitative volumetric ADC histogram analysis can be considered a useful and noninvasive method to help distinguish three subtypes renal cell carcinomas which having different prognosis.

823
15:09
Glomerular filtration rate estimation in vivo using 3D radial MRI and a novel multiresolution reconstruction technique
Abhishek Pandey1,2, Jean-Philippe Galons1, Kevin Johnson3, Diego R Martin1, Maria I Altbach1, Ali Bilgin2,4, and Manojkumar Saranathan1,4

1Medical Imaging, University of Arizona, Tucson, AZ, United States, 2Electrical and Computer Engineering, University of Arizona, Tucson, AZ, United States, 3Siemens Medical Solutions USA, Inc., 4Biomedical Engineering, University of Arizona, Tucson, AZ, United States

Dynamic contrast enhanced MRI can be used to obtain single-kidney GFR estimates but tradeoffs between spatial and temporal resolution lead to errors. We propose a  novel reconstruction technique where AIFs are generated from images reconstructed with high temporal resolution while renal parenchyma signal is extracted from images reconstructed over a larger temporal window to generate images with high spatial resolution and improved image quality. We demonstrate the clinical validity of the method by estimating the GFR using our proposed method and compare it with serum creatinine based eGFR estimate.

824
15:21
Dynamic Contrast-enhanced MRI in Renal Tumors: Common Subtype Differentiation using Pharmacokinetics
Haiyi Wang1, Lu Ma1, Zihua Su2, Ning Huang2, Xiao Xu3, Zhipeng Sun4, Aitao Guo5, and Huiyi Ye1

1Department of Radiology, Chinese PLA General Hospital, Beijing, People's Republic of China, 2Lift Science, Advanced Application Team, GE Healthcare China, Beijing, People's Republic of China, 3Lift Science, Advanced Application Team, GE Healthcare China, Shanghai, People's Republic of China, 4Department of Radiology, No.1 Hospital of Zhangjiakou, Zhangjiakou, People's Republic of China, 5Department of Pathology, Chinese PLA General Hospital, Beijing, People's Republic of China

In this prospective study on pharmacokinetic parameters (Ktrans & Ve) of renal tumors, we enrolled the patients with five common subtypes of renal tumor - clear cell renal cell carcinoma (ccRCC), papillary renal cell carcinoma (pRCC), chromophobic renal cell carcinoma (cRCC), uroepithelial carcinoma (UEC), and fat poor angiomyolipoma (fpAML) to undergo DCE-MRI pharmacokinetic studies. Our results demonstrated that ccRCC, pRCC, cRCC, UEC and fpAML are pharmacokinetically different (Ktrans & Ve). Ktrans could distinguish ccRCC from non-ccRCC (pRCC & cRCC) and differentiate fpAML with non-ccRCC with high specificity and sensitivity, which probably can facilitate the precise treatment of renal tumors in the future clinical practice.  

825
15:33
Comparison of BOLD-contrast imaging and DW imaging for early prediction of renal damage after microemboli-induced acute kidney injury in animal model
Chengyan Wang1, Hanjing Kong1, Fei Gao2, Wenjian Huang1, Lian Ding1, Rui Wang3, Li Jiang4, Yan Jia5, Hui Xu5, He Wang6, Xiaodong Zhang3, Li Yang5, Jue Zhang1,2, Xiaoying Wang1,3, and Jing Fang1,2

1Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, People's Republic of China, 2College of Engineering, Peking University, Beijing, People's Republic of China, 3Department of Radiology, Peking University First Hospital, Beijing, People's Republic of China, 4Philips Healthcare, Suzhou, People's Republic of China, 5Renal Division, Peking University First Hospital, Beijing, People's Republic of China, 6Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, People's Republic of China

Atheroembolic renal disease (AERD) is an important yet under-diagnosed kidney diseases associated with atherosclerosis. This study investigates the utility of BOLD and DWI in the assessment of microemboli-induced AKI, and compares the performances of both techniques for early prediction of renal damage. AKI was induced by injection of microspheres into the right kidney. The results indicate that both techniques can serve as reliable indicators to focal severe regional ischemia before renal damage occurs, while BOLD imaging seems to be more sensitive in early detection of moderate ischemia.


Oral

Thoracic MRI: Functional & Oncological Imaging of the Chest

Room 316A Wednesday 13:45 - 15:45 Moderators: David Bluemke & Jens Vogel-Claussen

826
13:45
Free-Breathing Pediatric Chest MRI: Utility of Self-Navigated Golden-Angle Ordered Conical Ultrashort Echo Time (UTE) Acquisition
Evan James Zucker1, Joseph Yitan Cheng1, Anshul Haldipur1, Michael Carl2, and Shreyas S Vasanawala1

1Department of Radiology, Stanford University, Stanford, CA, United States, 2Applied Science Laboratory, GE Healthcare, San Diego, CA

To assess feasibility of conical k-space trajectory free-breathing UTE chest MRI versus 4D flow and effects of 50% data subsampling and soft-gated motion correction, 32 consecutive children were recruited. Images scored by two blinded radiologists showed good to excellent delineation of all evaluated structures. UTE surpassed 4D flow for lungs and airways and was equivalent for pulmonary arteries. 50% subsampling mildly reduced but maintained diagnostic image quality, favoring its shorter scan time. Soft-gating slightly improved pulmonary artery delineation for one reader but overall degraded images, possibly due to noise from data subsampling, and suggesting motion-robustness of the conical golden-ordered trajectory.

827
13:57
Functional lung MRI using matrix pencil decomposition and N2 multiple-breath washout measurements in cystic fibrosis
Grzegorz Bauman1,2, Sylvia Nyilas3,4, Orso Pusterla1,2, Tanja Haas1, Michael Ith5, Bernd Jung5, Carmen Casaulta3, Gregor Sommer6, Enno Stranzinger5, Urs Frey4, Philipp Latzin3,4, and Oliver Bieri1,2

1Division of Radiological Physics, Department of Radiology, University of Basel Hospital, Basel, Switzerland, 2Department of Biomedical Engineering, University of Basel, Basel, Switzerland, 3Division of Respiratory Medicine, Department of Pediatrics, University Children's Hospital of Bern, Bern, Switzerland, 4Department of Pediatric Pneumology, University Children's Hospital Basel (UKBB), Basel, Switzerland, 5University Institute for Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, Bern, Switzerland, 6Department of Radiology, University of Basel Hospital, Basel, Switzerland

This study examines a correlation between the functional lung MRI using matrix pencil decomposition and lung function tests in patients with cystic fibrosis. A strong correlation between the global ventilation inhomogeneity index (LCI) from multiple breath washout and ventilation/perfusion impairment in the lung determined by functional MRI is observed. The results of our study support the potential of functional MRI as a diagnostic tool in monitoring disease progression in cystic fibrosis.

828
14:09
Cardiopulmonary MRI as a diagnostic tool in Pulmonary Hypertension
Christopher S Johns1, David G Kiely2, David A Capener1, Charlotte Hammerton1, Neil Hamilton2, Robin Condliffe2, Charlie Eliott2, Athanasios Charalampopoulos2, Jim M Wild1, and Andy J Swift1,3

1Academic Radiology, The University of Sheffield, Sheffield, United Kingdom, 2Pulmonary Vascular Disease Unit, Sheffield Teaching Hospitals, United Kingdom, 3Insigneo, Institute of In-Vivo Medicine

Pulmonary hypertension has a poor prognosis. Invasive right heart catheter measured mean pulmonary artery pressure (RHC-MPAP) is the gold standard for clinical diagnosis. Here we present a parametric model derived from cardio-pulmonary MRI for the prediction of pulmonary hypertension with a strong correlation with RHC-MPAP and a high diagnostic accuracy. In certain patients, right heart catheterisation may be avoided due to high specificity of this cardio-pulmonary MR model.

829
14:21
Assessment of cystic fibrosis disease using UTE imaging with XD-GRASP reconstruction: a comparison with CT
Jean Delacoste1, Catherine Beigelman1, Li Feng2, Jerome Yerly1,3, Davide Piccini1,4, Daniel K. Sodickson2, Ricardo Otazo2, Matthias Stuber1,3, and Alain Sauty5,6

1Department of Radiology, University Hospital (CHUV) and University of Lausanne (Unil), Lausanne, Switzerland, 2Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, United States, 3Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 4Advanced Clinical Imaging Technology, Siemens Healthcare, Lausanne, Switzerland, 5Adult CF multisites unit, Hospital of Morges, Morges, Switzerland, 6Service of Pneumology, Department of Medicine, University Hospital (CHUV), Lausanne, Switzerland

Motion resolved reconstructions, using compressed sensing, of 3D ultra short echo time (UTE) acquisitions in cystic fibrosis patients were performed. The definition of the lung-liver interface was quantified and found to be significantly higher than that in motion corrupted reconstructions of the whole datasets. The Helbich-Bhalla score for cystic fibrosis was determined using both computed tomography (CT) and MRI data. Correlation between scores obtained with both modalities was good (ρ=0.77) but consistency was moderate (ICC=0.62). This was due to average MRI scores being lower by 15%, most likely because mosaic perfusion could not be assessed with MRI.

830
14:33
Multi-parametric Response Map Using Hyperpolarized Gas MR Imaging to Retain Regionality: Making Hyperpolarized Gas Imaging Great Again
Hooman Hamedani1, Yi Xin1, Stephen Kadlecek1, Ian Duncan1, Sarmad Siddiqui1, Mehrdad Pourfathi1, Nicholas Drachman1, Kai Ruppert1, Joe Naji1, Maurizio Cereda2, and Rahim Rizi1

1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Anesthesiology and Critical Care, University of Pennsylvania, Philadelphia, PA, United States

By establishing multi-parametric response map (mPRM) of Gas MRI, we suggested a multifaceted regional combination of the imaged mPRM that best explain lung function deterioration while had a meaningful representation of each subject lung function condition. 


831
14:45
Using dynamic MRI to create moving boundary conditions for CFD: determining the causes of upper airway motion in sleep apnea
Alister Bates1,2, Andreas Schuh3, Brynne Williams2, Matthew Lanier2, Keith McConnell1, Wolfgang Loew2, Robert Fleck4, Jason Woods1,2, Charles Dumoulin2, and Raouf Amin1

1Division of Pulmonary Medicine, Cincinnati Children's Hospital, Cincinnati, OH, United States, 2Imaging Reseach Center, Cincinnati Children's Hospital, Cincinnati, OH, United States, 3Department of Computing, Imperial College London, London, United Kingdom, 4Division of Radiology, Cincinnati Children's Hospital, Cincinnati, OH, United States

The upper airway consists of complex mobile structures such as the tongue, soft palate and larynx that make predicting surgical outcomes in obstructive sleep apnea difficult. Dynamic computational fluid simulations provide a method to assess the causes of airway deformation, but require information on the airway shape and motion. Combining MR imaging from three sequences provides this information in high spatiotemporal resolution. Simulations allow characterization of airway wall motion as either in the same or opposite direction as the force applied by the intraluminal airflow, which can be used to better understand the subject-specific mechanics of sleep apnea.

832
14:57
LONGITUDINAL MONITORING OF DISEASE PROGRESSION IN CHILDREN WITH MILD CYSTIC FIBROSIS USING HYPERPOLARISED GAS MRI AND LUNG CLEARANCE INDEX
Laurie Smith1,2, Paul J.C. Hughes1, Felix Horn1, Helen Marshall1, Graham Norquay1, Guilhem Collier1, David Hughes2, Chris Taylor2, Noreen West2, Ina Aldag2, Alex Horsley3, and Jim Wild1

1University of Sheffield, Sheffield, United Kingdom, 2Sheffield Children's Hospital, Sheffield, United Kingdom, 3Manchester Adult CF Centre, Manchester, United Kingdom

Hyperpolarised gas ventilation MRI is a sensitive method for evaluating disease progression in subjects with cystic fibrosis and normal spirometry. Ventilation defect % (VD%) increased in 10/11 subjects studied with a mean change of 201%. The MRI coefficience of variance (CV) of signal intensity was similarly sensitive to change. 10/11 subjects had increased lung clearance index (LCI) at 2-years but no subject had abnormal spirometry at either visit. The % change in LCI demonstrated strong correlations with the % change in CV outcomes. VD% and CV reflect different but complimentary aspects of lung disease that appear to track disease progression.

833
15:09
3D Radial UTE MRI outperforms 3D Cartesian conventional echo time MRI for evaluation of cystic fibrosis lung disease
Scott K Nagle1, Christopher J Francois1, Madeline E Poranski1, Laura C Bell2, Kevin M Johnson3, and Sean B Fain3

1Radiology, University of Wisconsin, Madison, WI, United States, 2Translational Bioimaging, Barrow Neurological Institute, 3Medical Physics, University of Wisconsin

In this prospective cross-sectional study of 30 cystic fibrosis (CF) subjects, 3D radial ultrashort echo time (UTE) MRI significantly outperformed 3D Cartesian conventional echo time MRI when compared with reference standard computed tomography (CT), especially with respect to the depiction of air trapping. Short-term 1-2 week repeatability was comparable with CT. Since air trapping is considered one of the earliest signs of CF lung disease, and potentially reversible, the use of UTE MRI could significantly improve the utility of MRI as a biomarker for treatment effect in mild CF lung disease.

834
15:21
A new COPD phenotype characterized by hyperpolarized xenon-129 MRI
Kun Qing1, Sahar Mansoor1, John P. Mugler, III1, Talissa A. Altes2, Nicholas J. Tustison1, Kai Ruppert3, Jaime F. Mata1, G.Wilson Miller1, Iulian C. Ruset4, F.William Hersman4,5, Joanne M. Cassani2, and Yun Michael Shim1

1University of Virginia, Charlottesville, VA, United States, 2University of Missouri School of Medicine, Columbia, MO, United States, 3University of Pennsylvania, Philadelphia, PA, United States, 4Xemed, LLC, Durham, NH, United States, 5University of New Hampshire, Durham, NH, United States

Existing literature describes two distinctive phenotypes of chronic obstructive pulmonary disease (COPD): airway-predominant chronic bronchitis and alveolar-predominant emphysema. In this study, based on results from pulmonary function tests and computed tomography, we found a new mixed phenotype of COPD. This mixed phenotype showed minimal emphysematous tissue destruction, but low diffusion lung capacity (DLCO). Subsequent hyperpolarized xenon-129 MRI results indicated that gas exchange to the pulmonary blood in lungs for this mixed phenotype was significantly impaired as compared to controls and the classic COPD phenotypes. 

835
15:33
Hyperpolarized 3He gas MRI in infant lungs: investigating alveolar-airspace size with restricted gas diffusion
Nara S Higano1,2, Robert P Thomen2, James D Quirk3, Kenneth G Parks2, Heidie L Huyck4, Andrew D Hahn5, Sean B Fain5,6, Michael L Baker7, Gloria S Pryhuber4, and Jason C Woods1,2,8

1Physics, Washington University in St. Louis, St. Louis, MO, United States, 2Center for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 3Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, United States, 4Pediatrics, University of Rochester Medical Center, Rochester, NY, United States, 5Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 6Radiology, University of Wisconsin - Madison, Madison, WI, United States, 7Pathology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 8Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States

Acinar development in infant humans has not been extensively studied. Hyperpolarized gas diffusion MRI has been shown to relate directly to alveolar-airspace size in adults, pediatrics, canines, and mice. Using ex-vivo lungs from 7 healthy and 1 diseased infant humans, we investigated the relationship between 3He apparent diffusion coefficient (ADC) via mono-exponential decay, alveolar-duct radius via a restricted diffusion model originally developed for mice, and radius via histological measurement. While the mouse model is invalid in the infant diffusion regime, ADC measurements reflect changes in alveolar-airspace size. This method shows promise for longitudinal in-vivo acinar-airway monitoring in neonatal patients.


Oral

Diffusion: Time-Dependence & Relaxation

Room 316BC Wednesday 13:45 - 15:45 Moderators: Els Fieremans & Greg Stanisz

836
13:45
Quantifying neuronal microstructure integrity with TE dependent Diffusion Imaging (TEdDI)
Jelle Veraart1, Els Fieremans1, and Dmitry S. Novikov1

1Center for Biomedical Imaging, New York University School of Medicine, New York, NY, United States

We resolve degeneracies in the estimation of parameters of white matter integrity by exploiting the observed echo time dependency of diffusion MRI signal in human brain white matter.   Empirical results and statistical analyses reveal that adding compartment-specific T2 relaxation times to biophysical models of diffusion MRI improves the parameter estimation in terms of precision and accuracy.

837
13:57
A Novel Method for Assessing Myelination with TE dependence of DTI-derived Parameters
Mu Lin1, Qiuping Ding1, Xu Yan2, Thorsten Feiweier3, Hongjian He1, and Jianhui Zhong4

1Center for Brain Imaging Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China, Hangzhou, People's Republic of China, 2MR Collaboration NE Asia, Siemens Healthcare, Shanghai, China., 3Siemens Healthcare GmbH, Erlangen, Germany., 4Department of Imaging Scienes, University of Rochester, Rochester, NY, USA.

Myelin water is abundant in white matter but myelin signal is often ignored in diffusion models due to its short T2. There is however substantial water exchange between myelin and non-myelin water within typical diffusion times. Using Monte Carlo simulation and in-vivo measurement, we demonstrate that this water exchange might result in an echo-time (TE) dependence of DTI-derived parameters. As myelin water exchange increases with the thickness of myelin sheath, the TE dependence can be used to assess the degree of myelination. 

838
14:09
Disentangling in two dimensions in the living human brain: Feasbilty of relaxometry-diffusometry using ultra-strong gradients
Chantal MW Tax1, Umesh S Rudrapatna1, Thomas Witzel2, and Derek K Jones1

1CUBRIC, Cardiff University, Cardiff, United Kingdom, 2MGH/HST Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA, United States

Combining multiple, complementary contrasts into one analysis will yield deeper understanding of white matter physiology than using diffusion MRI (dMRI) alone. Varying TE in a PGSE sequence would allow for the exploration of D-T2 spectra in tissue. However, typical hardware and time constraints render the acquisition of such diffusion/relaxation spectra in the living human impractical. In this work, we explore how 300 mT/m gradients of a Connectom scanner could help in further investigating 1) the reported TE dependency of DTI parameters and 2) D-T2 spectra in the living human brain. 

839
14:21
T1-induced apparent time dependence of diffusion coefficient measured with stimulated echo due to exchange with myelin water
Hong-Hsi Lee1, Dmitry S. Novikov1, and Els Fieremans1

1Center for Biomedical Imaging, New York University, New York, NY, United States

For diffusion measurements, stimulated-echo acquisition mode (STEAM) has been widely used. To enhance sensitivity to microstructure, previous studies used STEAM to vary the diffusion time by changing the mixing time tM. Here we show that varying tM results in an “apparent” STEAM-measured diffusivity dependence on tM, irrespective of genuine microstructure-specific time dependence. This effect is caused by T1-relaxation and water exchange between myelin water and "free" water (intra- and extra-axonal water). We propose a modified Kärger model considering diffusion+T1-relaxation+exchange, and demonstrate that exchange-induced tM-dependence explains ~20-50% of the total diffusion time dependence, and should be considered while using STEAM.

840
14:33
Isotropic Diffusion Relaxometry Imaging (IDRI)
Alexandru Vlad Avram1, Joelle Sarlls2, Elizabeth Hutchinson3, and Peter Basser3

1NIBIB, National Institutes of Health, Bethesda, MD, United States, 2NINDS, National Institutes of Health, Bethesda, MD, United States, 3NICHD, National Institutes of Health, Bethesda, MD, United States

We describe a model-free method to quantify the spectrum of water mobilities in fixed and live brain tissues. We eliminate confounds caused by anisotropic diffusion in brain tissues by measuring orientationally-averaged diffusion weighted images over a large range of b-values. Spectra of orientationally-averaged water diffusivities show clear distinctions between white matter, gray matter and cerebrospinal fluid, and could provide new biologically-specific clinical markers for studying and diagnosing ischemic stroke, tumors, and neurodegenerative disorders and diseases, including inflammation.

841
14:45
Time Dependence Of White Matter Biomarkers From Axially Symmetric Diffusion Kurtosis Imaging
Jonas Lynge Olsen1, Brian Hansen2, Noam Shemesh3, and Sune Nørhøj Jespersen1,2

1Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark, 2CFIN/MINDLab at the Department of Clinical Medicine, Aarhus University, Aarhus, Denmark, 3Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal

Using a recently developed PFG-based framework for fast diffusion kurtosis imaging we observe a strong time dependence of diffusion and kurtosis metrics in fixed spinal cord white matter from 6-350 ms. DKI metrics can be expressed in terms of intra- and extra axonal properties using white matter tract integrity (biexponential modelling), but a sign ambiguity results in two solutions of the inverse problem. The time dependence of the two solutions observed here help identify the correct solution, and allows comparing time-dependent compartment diffusivities with theory.  

842
14:57
Diffusion time dependence of kurtosis reveals microstructural changes after neonatal hypoxia-ischemia
Dan Wu1, Frances J Northington2, Els Fieremans3, Dmitry Novikov3, and Jiangyang Zhang3

1Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 3Radiology, New York University School of Medicine, NY, United States

Apparent diffusion coefficient (ADC) and diffusion kurtosis are both sensitive markers to ischemic brain injury. We investigated the diffusion time (td)-dependency of ADC and kurtosis at nine td’s ranging from 2.5 to 60 ms in a mouse model of neonatal hypoxic-ischemic injury. In the hippocampus, ADCs showed a monotonous decrease with increasing td, whereas kurtosis reached its maximum at td of 5-10 ms and decreased for longer td’s . At the shortest td in this study, we found significant increased kurtosis in the edema region but no significant reduction in diffusivity, suggesting their different sensitivities to microstructural changes after ischemic injury.  

843
15:09
Origin of the time dependence of the diffusion-weighted signal in spinal cord white matter
Francesco Grussu1, Andrada Ianuş2,3, Carmen Tur1, Ferran Prados1,4, Torben Schneider1,5, Sébastien Ourselin4, Ivana Drobnjak2, Hui Zhang2, Daniel C. Alexander2, and Claudia A. M. Gandini Wheeler-Kingshott1,6,7

1UCL Institute of Neurology, Queen Square MS Centre, University College London, London, United Kingdom, 2Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 3Champalimaud Centre for the Unknown, Champalimaud Foundation, Lisbon, Portugal, 4Translational Imaging Group, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 5Philips UK, Guildford, Surrey, United Kingdom, 6Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, 7Brain MRI 3T Mondino Research Center, C. Mondino National Neurological Institute, Pavia, Italy

Time dependence of the brain white matter diffusion-weighted signal originates from both intra-axonal and extra-axonal spaces. Here, we investigate which of these contributions dominates in spinal cord white matter for clinically feasible acquisitions, to inform accurate model-based microstructural imaging. We analyse data from Monte Carlo simulations and from in vivo scans, and find that for diffusion times of 20-70 ms time dependence has mostly intra-axonal origin. Such a time dependence influences the estimation of axonal volume fraction and extra-axonal diffusivity, and highlights the importance of using long diffusion times to support stick-like models for axons in the spinal cord.

844
15:21
Sleep deprivation affects white matter integrity in cognitively vulnerable individuals
Hengyi Rao1, Sihua Xu1, Zhuo Fang1, Fan Yang1, Andrea Spaeth1, Namni Goel1, Mathias Basner1, Sumei Wang1, David F. Dinges1, and John A. Detre1

1University of Pennsylvania, Philadelphia, PA, United States

Using DTI, we examined the effects of one night of acute total sleep deprivation on fractional anisotropy (FA), an index reflecting the degree of anisotropic water diffusion in brain white matter. Sleep deprivation significantly increases FA in the right superior longitudinal fasciculus (SLF) in individuals who were cognitively vulnerable to sleep loss, while no FA changes were observed in cognitively resistant individuals. Vulnerable subjects also showed lower FA in the right SLF than resistant subjects at baseline before sleep loss, suggesting both trait- and state-dependent interactions between SLF microstructure and cognitive vulnerability to sleep deprivation.

845
15:33
Clinically feasible relaxation-diffusion correlation MRI using MADCO
Dan Benjamini1 and Peter J Basser1

1Quantitative Imaging and Tissue Sciences, National Institutes of Health, Bethesda, MD, United States

Even though the brain is microscopically heterogeneous, the majority of currently used quantitative MRI methods in brain research employ idealized models to describe specific structures. Multidimensional relaxation-diffusion correlation (REDCO) is an assumption-free method that measures how water is distributed within the tissue. REDCO had never been used in clinical applications because of the large amount of data it requires. Here we apply the concept of marginal distributions constrained optimization (MADCO) to REDCO-MRI experiments. Using this approach data requirements are vastly reduced, making REDCO-MRI a clinically feasible imaging technique to infer the underlying microstructure, number of compartments, and possibly their function.


Oral

Bones: Ultrastructure in Health & Disease

Room 320 Wednesday 13:45 - 15:45 Moderators: Richard Hodgson & Mary Kate Manhard

846
13:45
A preliminary application of Porosity Index measured by UTE MRI sequence in the femoral neck
Min Chen1, Huishu Yuan1, and Lizhi Xie2

1Radiology Department of Peking University Third H, Beijing, People's Republic of China, 2GE Healthcare, MR Research China, BeiJing, People's Republic of China

The current study aims to assess the feasibility of porosity index (PI) measurements derived from ultra-short echo time (UTE) MRI technology in the femoral neck and to further investigate its latent associations with age, gender, body mass index (BMI) and tibial PI. It was concluded that cortical PI measured by UTE MRI sequence can be applied in femoral neck and cannot be replaced by tibial measurement. Femoral neck and tibial PI were observed to correlate with age and BMI , which worth further study.  

847
13:57
Feasibility of bone mineral and water quantification in vivo by solid-state 31P and 1H MRI at 3T
Xia Zhao1, Hee Kwon Song1, Alan C. Seifert1, Cheng Li1, and Felix W. Wehrli1

1University of Pennsylvania, Philadelphia, PA, United States

Surrogates for bone matrix density, pore volume fraction and mineral density can be studied with solid-state MRI. Here, we developed an in vivo MRI protocol to simultaneously quantify bone mineral 31P and bound and pore water on a 3 Tesla clinical MRI system with a dual-frequency extremity coil and 3D 1H UTE and 31P PETRA-ZTE pulse sequences. Measurements in the mid-tibia of 10 subjects yielded 7.06±1.53mol/L 31P, and 13.99±1.26 and 10.39±0.80mol/L H2O for total and bound water, respectively, in good agreement with prior ex vivo data. The work suggests that both organic and inorganic phases of cortical bone can be quantitatively evaluated in vivo with a single, integrated protocol.

848
14:09
Study Of The Associations Between [18F]-NaF PET Bone Remodeling, MRI Trabecular Bone Structure and Patient Reported Outcomes in subjects with Osteoarthritis
Valentina Pedoia1, Rohit Curucundhi1, Dragana Savic2, Misung Han1, Youngho Seo1, Matthew D. Bucknor1, Benjamin L. Franc1, and Sharmila Majumdar1

1Radiology and Biomedical Imaging, University Of California, San Francisco, San Francisco, CA, United States, 2Department of Physiology, Anatomy and Genetics, University of Oxford

In Osteoarthritis (OA) degeneration of articular cartilage, are accompanied by changes in subchondral and trabecular bone. In this study we analyzed bone structure, cartilage degeneration and bone remodeling, quantified using simultaneous PET/MRI system in fourteen subjects with radiographic or symptomatic OA. The aim of this study was to evaluate these imaging biomarkers in association with patient reported outcomes for evaluating this technique as a tool for assessing OA. Our results showed associations between Standardized Uptake Values (SUV) and both level of pain measured by KOOS and cartilage degeneration measured using T and T2 relaxation times.

849
14:21
Zero Echo Time MRI: Osseous Shoulder Imaging
Ryan Breighner1, Yoshimi Endo1, Gabrielle Konin1, Lawrence Gulotta2, Matthew F. Koff1, and Hollis G. Potter1

1Radiology and Imaging, Hospital for Special Surgery, New York, NY, United States, 2Sports Medicine, Hospital for Special Surgery, New York, NY, United States

Routine MRI fails to provide direct visualization of bone due to the short tissue relaxation times and limited signal intensity. This study investigates the use of proton density zero echo time (ZTE) MRI for bone in the shoulder. Shoulder CT and ZTE images were acquired for 31 patients. Five measures of osseous defect and lesion sizes were compared between the two modalities. ‘Fair’ to ‘excellent’ intraobserver agreement was observed between CT and ZTE MRI. Zero Echo Time MRI may obviate the need for additional CT evaluation in some cases.

850
14:33
Simultaneous R2* and Quantitative Susceptibility Mapping of Trabecularized Yellow Bone Marrow: Initial Results in the Calcaneus
Maximilian Nikolaus Diefenbach1, Jakob Meineke2, Peter Foehr3, Stefan Ruschke1, Thomas Baum1, Jan S Kirschke4, Andreas Hock5, Hendrik Kooijman5, Ernst J Rummeny1, and Dimitrios C Karampinos1

1Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany, 2Philips Research Laboratory, Hamburg, Germany, 3Department of Orthopedics and Sport Orthopedics, Technical University of Munich, Munich, Germany, 4Section of Neuroradiology, Technical University of Munich, Munich, Germany, 5Philips Healthcare, Hamburg, Germany

R2* mapping has been previously used to measure trabecular bone density by quantifying the magnetic field inhomogeneity effects induced by the susceptibility difference between trabecular bone and marrow. Quantitative susceptibility mapping (QSM) has been emerging in other body parts for measuring the field-independent magnetic susceptibility. Trabecular bone is in many locations embedded in yellow fatty marrow. Therefore, trabecular bone QSM requires to account for the presence of fat. The purpose of the present work is to develop a methodology for simultaneous R2* mapping and QSM of trabecularized yellow bone marrow and apply the technique in the calcaneus of healthy volunteers.

851
14:45
Proximal Femur Marrow Adipose Tissue Assessment Using 3T Multi-Parametric Chemical Shift Encoded MRI: Preliminary Results in Osteoporotic Patients
Dimitri MARTEL1, Gregory CHANG1, Mary BRUNO1, and Benjamin LEPORQ2

1Department of Radiology, New York University School of Medicine, Bernard and Irene Schwartz Center for Biomedical Imaging, New York City, NY, United States, 2Université de Lyon; CREATIS CNRS UMR 5220, Inserm U1206, INSA-Lyon, UCBL Lyon 1, Villeurbanne, France

Recent assessment of osteoporosis by monovoxel magnetic resonance spectroscopy states interesting feature about subregional femoral marrow fat composition. in this study , we evaluate differences in bone marrow fat of the proximal femurs of controls and patients with OP using a novel quantitative multi-parametric MRI approach that provides information about fat content, fatty acid composition, transverse relaxation and internal magnetic susceptibility.


852
14:57
Epiphyseal Bone Marrow Perfusion Imaging in the Distal Femur Using Arterial Spin Labeling: Feasibility and Challenges
Xiufeng Li1, Casey P. Johnson1, and Jutta Ellermann1

1Radiology-CMRR, University of Minnesota, Minneapolis, MN, United States

Epiphyseal bone marrow perfusion of the distal femur is a valuable biomarker for knee diseases or injuries, such as anterior cruciate ligament tears and post-traumatic osteoarthritis. Bone marrow perfusion imaging is also of interest in the management of developmental knee diseases, such as osteochondritis dissecans, where the capacity to heal may be related to sufficient perfusion to the site of injury. ASL is well suited for monitoring of knee disease progression, assessment of therapy response, and use in pediatric populations. This study is to evaluate the feasibility and challenges of epiphyseal bone marrow ASL imaging in the distal femur.

853
15:09
MRI quantification of diffusion and perfusion in epiphysis of femoral heads after close reduction of children with DDH by  intravoxel incoherent movement
Xiang Hong Meng1, Zhi Wang1, Dan Dan Zheng2, Jian Ping Yang3, and Zhong Li Zhang3

1Radiology, Tian Jin Hospital, Tian Jin, People's Republic of China, 2MR Research China, GE Healthcare, People's Republic of China, 3Pediatric Orthopedics, Tian Jin Hospital, Tian Jin, People's Republic of China

Developmental dysplasia of the hip (DDH) is a common disease of the development of hips. Some children with DDH need close reduction followed by immobilization in spica casting, but excessive hip abduction may lead to avascular necrosis of the epiphysis of femoral head. Therefore, this study would like to use IVIM method to help the pediatric orthopaedic doctors to know whether the blood supply of epiphysis of femoral heads is insufficiency or not in patients with DDH after close reduction.

854
15:21
Motion-Sensitized Driven-Inversion (MSDI) for improvement of diffusion-prepared MR neurography (SHINKEI) in the brachial plexus
Masami Yoneyama1, Iain Ball2, Yasuhiro Goto3, Hitoshi Tadenuma3, Kayoko Abe4, Makoto Obara1, Tetsuo Ogino1, Tomoyuki Okuaki5, Michinobu Nagao4, and Marc Van Cauteren5

1Philips Electronics Japan, Tokyo, Japan, 2Philips Electronics Australia, North Ryde, Australia, 3Department of Radiological Services, Tokyo Women’s Medical University Hospital, Tokyo, Japan, 4Department of Diagnostic Imaging & Nuclear Medicine, Tokyo Women’s Medical University Hospital, Tokyo, Japan, 5Philips Healthcare AsiaPacific, Tokyo, Japan

Brachial plexus is anatomically complex and may be involved in a variety of pathologies that leads to significant morbidity. MR neurography, based on diffusion-prepared MR neurography (SHINKEI), plays a major role in the diagnostic work-up of plexus pathologies. To solve the problems that caused by the current fat suppression techniques (SPAIR and STIR) with SHINKEI, we developed motion-sensitized driven inversion (MSDI). MSDI could simultaneously suppress fat, flow and muscle signals using only one pre-pulse module. SHINKEI with MSDI provides uniform fat suppression in the brachial plexus, as in STIR, with no significant decrease in SNR compared to SPAIR.

855
15:33
Diagnostic Accuracy of Zero Echo Time Magnetic Resonance Imaging for Grading of Cervical Spine Neural Foraminal Stenosis
Darryl B. Sneag1, Parina H. Shah1, Ryan Breighner1, Yoshimi Endo1, Erin C. Argentieri1, and Matthew F. Koff1

1Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY, United States

A challenge for orthopaedic radiologists is utilizing MRI to assess neuroforaminal (NF) stenosis of the cervical spine as cortical bone does not display with sufficient signal intensity. This study utilized zero echo time (ZTE) imaging to visualize the cervical spine and compare evaluation of NF stenosis to corresponding CT imaging. Substantial agreement was found between ZTE and CT (κ=0.71). ZTE tended to underestimate stenotic grade in 25% of foramina, with a majority (66%) of differences within one grading level. Further development of ZTE and image processing may minimize the need for cervical spine CT in assessing NF stenosis.


Combined Educational & Scientific Session

CEST from Equations to Cells to Humans

Organizers: Guanshu Liu, Ph.D., Steven P. Sourbron, Ph.D., & Elena Vinogradov, Ph.D.

Room 310 Wednesday 13:45 - 15:45 Moderators: Feliks Kogan & Peter van Zijl

13:45
Introduction to CEST & Quantification
Phillip Zhe Sun1

1Harvard University

CEST MRI has emerged as a sensitive contrast mechanism for several metabolites such as glucose, glycogen, creatine and glutamate, as well as tissue pH. It has promising applications in a host of disorders including acute stroke, epilepsy and tumor. As we make the transition from CEST-weighted MRI toward quantitative in vivo CEST imaging for improved characterization of the underlying physiology, it is helpful to review persistent progress in the field of CEST imaging from equations, cells, rodents and patients.

856
14:05
Characterization of in vivo Chemical Exchange Parameters Using Chemical Exchange-Sensitive MRI at 9.4 T and 15.2 T
Julius Juhyun Chung1,2, Wonmin Choi1,3, Tao Jin4, Jung Hee Lee1,2,3,5, and Seong-Gi Kim1,2,3

1Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Korea, Republic of, 2Samsung Advanced Insitute for Health Sciences and Technology, SKKU, Seoul, Korea, Republic of, 3Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 4Radiology, University of Pittsburgh, 5Radiology, Sungkyunkwan University, Seoul, Korea, Republic of

Chemical-exchange sensitive imaging can prove to be complex particularly when imaging intermediate exchanges in-vivo where contrast comes from an amalgamation of different sources.  We propose a method that utilizes Z-spectra data from multiple fields to determine apparent exchange parameters that characterize the exchange to which a particular saturation scheme is sensitive.  Parameter determination in glutamate phantoms proved commensurate to utilizing an on-resonance dispersion measurement and in the rat brain cortex the kex was measured to be 11,240 s-1 antemortem and 7070 s-1 postmortem. This method is useful for determining exchange parameters relevant to complex systems when signal source is unclear.

857
14:15
Improving Amide Proton Transfer (APT) MRI Quantification in Acute Human Stroke Patients: Achieving More Pure APT Signals and Higher Detection Sensitivity
Hye-Young Heo1,2, Yi Zhang1, Tina Burton3, Shanshan Jiang1, Peter C.M. van Zijl1,2, Richard Leigh3, and Jinyuan Zhou1,2

1Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, United States, 2F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States, 3Stroke Diagnostics and Therapeutics Section, National Institute of Neurological Diseases and Stroke, National Institutes of Health, Bethesda, MD, United States

APT-weighted (APTw) imaging based on MTR asymmetry analysis has shown promise for identifying ischemic lesions, but suffers from low accuracy due to small APTw intensity changes, Quantitative APT, nuclear overhauser enhancement (NOE), perfusion and diffusion MRI were performed on acute stroke patients (n=30). The results showed that while APTw MRI for pH analysis based on MTRasym analysis was confounded by upfield NOE effects, NOE-free APT-MRI contrast between normal and ischemic lesions was substantially increased, nearly 3 times larger than that based on MTRasym analysis. Furthermore, noticeable NOE contrast was observed for lesions, explained in terms of a relayed-NOE transfer mechanism.

14:25
DIACEST Exogenous
Assaf A. Gilad1

1Johns Hopkins University

We will review the principles for  designing an optimal bioorganic probes that are based on the specific targets. In addition we will discuss how to design a genetically encoded probe for a specific scientific question. 

858
14:45
Spatiotemporal quantification of reporter gene expression in the mouse heart using the Lysine Rich Protein and cardiac chemical exchange saturation transfer
Shelby Meier1, Jose Abisambra2, J Brandon3, Assaf Gilad4, and Moriel Vandsburger1,5

1Physiology, University of Kentucky, Lexington, KY, United States, 2Physiology, University of Kentucky, 3University of Kentucky, 4Radiology and Radiological Sciences, Johns Hopkins University, 5Bioengineering, U.C. Berkeley, Berkeley, CA, United States

We utilized cardiac chemical exchange saturation transfer MRI and an artificial reporter gene, the Lysine Rich Protein (LRP), to image gene transfer in the mouse heart using 2 routes of viral vector administration. 

859
14:55
T1ρ-weighted Dynamic Glucose Enhanced MRI
Patrick Schuenke1, Daniel Paech1, Christina Koehler1,2, Johannes Windschuh1, Peter Bachert1, Mark E. Ladd1, Heinz-Peter Schlemmer1, Alexander Radbruch1,2, and Moritz Zaiss3

1German Cancer Research Center (DKFZ), Heidelberg, Germany, 2University Hospital Heidelberg, Heidelberg, Germany, 3Max-Planck-Institute for Biological Cybernetics, Tuebingen, Germany

Natural D-glucose can serve as a biodegradable contrast agent for the detection of tumors by means of Chemical Exchange Saturation Transfer (CEST) or Chemical Exchange sensitive Spin-Lock (CESL) Dynamic Glucose Enhanced (DGE) MRI. For application of CESL-based DGE-MRI at a 7T whole-body scanner, we implemented an adiabatic CESL sequence and essentially increased the temporal resolution employing a T-weighted acquisition scheme. Further, we introduced a simple, robust and quantitative DGE contrast. First application of T-weighted DGE-MRI in a glioblastoma patient provided a substantial contrast between tumor and healthy brain tissue and showed the dynamic glucose enhancement after a glucose bolus injection.

15:05
Translational CEST
Seth Smith1

1Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States

The goal of this educational presentation is to discuss the important contributions that CEST MRI can have for clinical-translational studies, by highlighting the unique contrasts available and examining the current applications of CEST MRI in the literature.  We will further discuss the potential limitations for more clinically viable adoption of CEST and discuss the opportunities to overcome these limitations.  We will close by discussing the potential impact of a unique contrast to clinical-translational studies of the human condition. 

860
15:25
Differentiating glioma histologic grade preoperatively by two functional modalities: Amide Proton Transfer (APT) and Intravoxel Incoherent Motion (IVIM) MR imaging
Tianyu Zou1, Hao Yu1, Chunxiu Jiang1, Yingjie Mei2, Fanheng Huang1, Jinyuan Zhou3, and Zhibo Wen1

1Department of Radiology, Zhujiang Hospital, Southern Medical University, Guangzhou, People's Republic of China, 2Philips Healthcare, Guangzhou, People's Republic of China, 3Department of Radiology, Johns Hopkins University School of Medicine, MD, United States

A correct preoperatively grading of glioma is always the most important issue in clinic. APT and IVIM imaging are designed to assess glioma on the level of cell and molecule. So, in this study we combined these two functional techniques hoping to explore their diagnostic performance in differentiating HGG from LGG.

861
15:35
Clinical Translation of Tumor Acidosis Measurements with AcidoCEST MRI
Kyle M. Jones1, Edward A. Randtke2, Eriko Yoshimaru3, Christine M. Howison2, Pavani Chalasani4, Robert R Klein4, Setsuko K. Chambers3, Phillip H. Kuo2, and Mark D. Pagel2

1Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 2Medical Imaging, University of Arizona, Tucson, AZ, United States, 3University of Arizona Cancer Center, University of Arizona, Tucson, AZ, United States, 4Medicine, University of Arizona, Tucson, AZ, United States

We optimized acidoCEST MRI, a method that measures extracellular pH (pHe), and translated this method for clinical imaging. We fit CEST spectra with the Bloch equations modified to include the direct estimation of pH, and generated parametric maps of tumor pHe in the SKOV3 tumor model, a patient with high grade invasive ductal breast carcinoma, and a patient with metastatic ovarian cancer. AcidoCEST MRI successfully measured a pH 6.58 in a tumor of the patient with metastatic ovarian cancer. The primary breast tumor failed to accumulate sufficient agent to generate pHe measurements.  


Traditional Poster: Interventional MRI

Exhibition Hall 2585-2618 Wednesday 16:15 - 18:15 (no CME credit)

Traditional Poster: MRI Safety

Exhibition Hall 2619-2653 Wednesday 16:15 - 18:15 (no CME credit)

Traditional Poster: Engineering

Exhibition Hall 2654-2674 Wednesday 16:15 - 18:15 (no CME credit)

Electronic Poster: Musculoskeletal

Exhibition Hall Wednesday 16:15 - 17:15 (no CME credit)

Electronic Poster: Acquisition, Reconstruction & Analysis

Exhibition Hall Wednesday 16:15 - 17:15 (no CME credit)

Study Groups

White Matter Study Group

Room 323ABC Wednesday 16:15 - 18:15 (no CME credit)


Study Groups

Detection & Correction of Motion in MRI & MRS Study Group

Room 317AB Wednesday 16:15 - 18:15 (no CME credit)


Educational Course

Heart Failure & Arrhythmia

Organizers: Tim Leiner, M.D., Ph.D., Reza Nezafat, Ph.D. & Bernd J. Wintersperger, M.D.

Room 316A Wednesday 16:15 - 18:15 Moderators: Jeremy Collins & Peng Hu

16:15
Clinical Needs of imaging in Heart Failure: Impact on Patient Management
David Sosnovik1

1Massachusetts General Hospital, Harvard Medical School

NA

16:45
State of the art Imaging in Heart Failure: Cardiac MR in the Multi-Modality Environment
Jeanette Schulz-Menger1

1University of Berlin, Berlin, Germany


17:15
The Challenging Role & Approaches to Cardiac MR in Arrhythmia
Dana Peters1

1Radiology and Biomedical Imaging, Yale University, New Haven, CT, United States

This material covers the basic and advanced approaches for preserving image quality in patients with arrhythmia, for cine, flow and late gadolinium enhancement techniques. Furthermore, it presents some advanced MRI methods for evaluating patients with arrhythmic disease, namely atrial fibrillation, ventricular arrhythmias, and arryhthmogenic right ventricular cardiomyopathy (ARVC).

17:45
Cardiac Devices: Safety Aspects & Challenges in Cardiac MR
Daniel Kim

This lecture will describe some of the safety and image artifact issues related to performing MRI in patients with an implantable device (e.g., pacemaker, ICD, CRT).

18:15
Adjournment & Meet the Teachers


Power Pitch

Pitch: Diffusion: Outside the Brain

Power Pitch Theater A - Exhibition Hall Wednesday 16:15 - 17:15 Moderators: Seung-Kyun Lee & Jelle Veraart (no CME credit)

862
16:15
Analysis of abdominal movement with Phase Optical Flow: Application to Diffusion imaging.
Stephan Hahn1, Maxime Gérard1, Damien Dasnoy-Sumell1, Julie Absil2, Olivier Debeir1, and Thierry Metens2

1Laboratories of Image, Signal processing and Acoustics, ULB, Brussels, Belgium, 2MRI Clinics&Radiology, Hôpital Erasme, Brussels, Belgium

863
16:15
In vivo imaging of mean cell size and density of human breast tumors
Hua Li1,2, Lori R. Arlinghaus1,2, A. Bapsi Chakravarthy3, Vandana G. Abramson2, John C. Gore1,2, and Junzhong Xu1,2

1Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 2Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States, 3Department of Radiation Onology, Vanderbilt University, Nashville, TN, United States

864
16:15
Intravoxel incoherent motion MR imaging for staging liver fibrosis and monitoring anti-fibrotic response to losartan: an experimental study in rat model
Caiyuan Zhang1, Yong Zhang2, and Dengbin Wang1

1Radiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China, 2MR Research China, GE Healthcare, Shanghai, China, Shanghai, People's Republic of China

865
16:15
Diffusion-weighted MRI and coherent flow in the kidney
Andreas Max Weng1, Fabian Hilbert1, Henning Neubauer1, Simon Veldhoen1, Thorsten Alexander Bley1, and Herbert Köstler1

1Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, Würzburg, Germany

866
16:15
An assessment of Intravoxel Incoherent Motion (IVIM) imaging in Detection of Acute Kidney Injury in Rodents
Keisuke Ishimatsu1, Shanrong Zhang1, Koji Sagiyama1, Ming Chang Hu2, Orson W Moe2, and Masaya Takahashi1

1Advanced Imaging Researh Center, UT Southwestern Medical Center, Dallas, TX, United States, 2Department of Internal Medicine / Charles and Jane Pak Center of Mineral Metabolism and Clinical Research, UT Southwestern Medical Center, Dallas, TX, United States

867
16:15
Diffusion-Weighted MRI Identifies Viable Tissue in Wilms Tumour: Application for Subtype Analysis and Response to Chemotherapy
Harriet Rogers1, Patrick Hales1, Kathy Pritchard-Jones2, and Christopher Clark1

1Developmental Imaging and Biophysics, Institute of Child Health, University College London, London, United Kingdom, 2Developmental Biology and Cancer, Institute of Child Health, University College London, London, United Kingdom

868
16:15
Validation of VERDICT MRI using fresh and fixed prostate specimens with aligned histological slices
Colleen Bailey1, Roger M Bourne2, Bernard Siow3,4, Edward W Johnston5, Hayley Pye6,7, Susan Heavey6,7, Thomy Mertzanidou1, Hayley Whitaker6, Alexander Freeman8, Dominic Patel8, Greg Shaw6,7, Ashwin Sridhar6,7, Shonit Punwani5, David J Hawkes1, Daniel C Alexander1, and Eleftheria Panagiotaki1

1Centre for Medical Image Computing, University College London, London, United Kingdom, 2Discipline of Medical Radiation Sciences, University of Syney, Sydney, Australia, 3Centre for Advianced Biomedical Imaging, University College London, London, United Kingdom, 4Imaging, Francis Crick Insitute, London, United Kingdom, 5Centre for Medical Imaging, University College London, London, United Kingdom, 6Division of Surgery and Interventional Science, University College London, London, United Kingdom, 7Department of Urology, University College London Hospitals, London, United Kingdom, 8Department of Research Pathology, University College London, London, United Kingdom

869
16:15
Diffusion-weighted MRI in the evaluation of posttherapeutic residual masses in lymphoma
Siarhei Kharuzhyk1, Edward Zhavrid2, and Nina Sachivko2

1Radiology, N.N. Alexandrov National Cancer Center, Minsk, Belarus, 2Chemotherapy, N.N. Alexandrov National Cancer Center, Minsk, Belarus

870
16:15
The clinical evaluation of combining DWIBS with whole body T1w imaging for diagnosing bone marrow involvement in lymphoma patients: a comparison with PET/CT
Mengtian Sun1, Jingliang Cheng1, Yun Meng1, and Zhizheng Zhuo2

1The First Affiliated Hospital of Zhengzhou University, 1st, Zhengzhou, People's Republic of China, 2Philips Healthcare, Beijing, People's Republic of China

871
16:15
Intravoxel incoherent motion diffusion-weighted imaging for discriminating the pathological response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer
Wen Lu1, Yu xiaoping1, and Zhang zhongping2

1Hunan Cancer Hospital, Chang sha, People's Republic of China, 2GE Healthcare China, Beijing, People's Republic of China

872
16:15
The value of diffusion kurtosis imaging in assessing pathological complete response to neoadjuvant chemoradiation therapy in rectal cancer: a comparison with conventional diffusion-weighted imaging
Fei-Xiang Hu1, Tong Tong1, Wei Tang1, Yi-Qun Sun1, Dang Wang1, San-Jun Cai2, Zhen Zhang3, Grimm Robert4, Xu Yan5, Cai-xia Fu6, and Wei-Jun Peng1

1Radiology, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China, 2Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China, 3Radiotherapy, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China, 4MR Applications Predevelopment, Siemens Healthcare GmbH, Germany, 5MR Collaboration NE Asia, Siemens Healthcare, People's Republic of China, 6APPL, Siemens Shenzhen Magnetic Resonance Ltd., People's Republic of China

873
16:15
The application of whole lesion IVIM analysis using iZOOM DWI in the diagnosis of thyroid tumor
Yunlong Yue1, Lili Zuo1, Kaining Shi2, Lee Jiang3, Jinsong Guo1, and Yanfang Jin1

1Department of MR, Beijing Shijitan hospital of capital medical university, Beijing, People's Republic of China, 2Philips Healthcare (China), Beijing, People's Republic of China, 3Philips Healthcare (China), Suzhou, People's Republic of China

874
16:15
Diffusion Spectrum Imaging Tractography of the Human Tongue
Nahla M H Elsaid1, Maureen Stone2, Steven Roys1, Rao P Gullapalli1, Jerry L Prince3, and Jiachen Zhuo1

1Diagnostic Radiology, University of Maryland School of Medicine, Baltimore, MD, United States, 2Neural and Pain Sciences and Orthodontics, University of Maryland Dental School, Baltimore, MD, United States, 3Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States

875
16:15
Acquisition at maximum blood velocity overcomes the problem of the ill-posedness of the IVIM model: a demonstration with renal diffusion MRI
Bastien Milani1, Jean-Baptiste Ledoux2, and Menno Pruijm3

1Nephrology, CHUV, Lausanne, Switzerland, 2Radiology, CHUV, 3Nephrology, CHUV

876
16:15
Comparison of in-vivo Lung Morphometry Models from 3D Multiple b-value 3He Diffusion-Weighted MRI
Ho-Fung Chan1, Juan Parra-Robles1,2, Guilhem J Collier1, and Jim M Wild1

1Academic Unit of Radiology, University of Sheffield, Sheffield, United Kingdom, 2Department of Bioengeering, Universidad Carlos III de Madrid, Madrid, Spain


Power Pitch

Pitch: MRS/MRSI Applications

Power Pitch Theater B - Exhibition Hall Wednesday 16:15 - 17:15 Moderators: Alexander Lin & Jannie Wijnen (no CME credit)

877
16:15
Resolution Enhanced accelerated Four Dimensional Echo Planar Spectroscopic Imaging: Application in Prostate Cancer
Zohaib Iqbal1, Brian L. Burns1, Rajakumar Nagarajan1, Robert E. Reiter2, Steven S. Raman1, and M. Albert Thomas1

1Radiological Sciences, University of California - Los Angeles, Los Angeles, CA, United States, 2Urology, University of California - Los Angeles, Los Angeles, CA, United States

878
16:15
Initial results of combined 1H and 31P spectroscopic imaging of the prostate at 7 Tesla
Bart WJ Philips1, Mark van Uden1, and Tom WJ Scheenen1

1Radiology and Nuclear Medicine, Radboud University Medical Centre Nijmegen, Nijmegen, Netherlands

879
16:15
Reduced GABA levels correlate with cognitive impairment in relapsing-remitting multiple sclerosis
Guanmei Cao1, Bin Zhao1, Guangbin Wang1, Weibo Chen2, and Fei Gao1

1Shandong Medical Imaging Research Institute,Shandong University, Jinan,Shandong, People's Republic of China, 2Philips Healthcare, Shanghai, China, People's Republic of China

880
16:15
Patch-based super-resolution of MRSI data in multiple sclerosis patients at 7 T
Saurabh Jain1, Gilbert Hangel2, Diana Sima1,3, Wolfgang Bogner2,4, Siegfried Trattnig2,4, Sabine Van Huffel3,5, Frederik Maes5,6, and Dirk Smeets1,7

1icometrix, R&D, Leuven, Belgium, 2High Field MR Centre, Medical University of Vienna, Vienna, Austria, 3Department of Electrical Engineering-ESAT, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium, 4Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, 5Medical IT, iMinds, Leuven, Belgium, 6Department of Electrical Engineering-ESAT, PSI Medical Image Computing, KU Leuven, Leuven, Belgium, 7BioImaging Lab, Universiteit Antwerpen, Antwerp, Belgium

881
16:15
Cervical spinal cord and brain MRS alterations in normal appearing white matter of multiple sclerosis (MS) patients at 3T
Patrik Oliver Wyss1,2,3,4, Anke Henning1,2,5, Andreas Hock1,6, Andreas Lutterotti7, Roland Martin7, and Spyros Kollias4

1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland, 2Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 3Swiss Paraplegic Centre, Nottwil, Switzerland, 4Institute of Neuroradiology, University Hospital Zurich, Zurich, Switzerland, 5Institute of Physics, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany, 6Department of Psychiatry, Psychotherapy and Psychosomatics Hospital of Psychiatry, University of Zurich, Zurich, Switzerland, 7Neuroimmunology and Multiple Sclerosis Research, Department of Neurology, University Hospital and University Zurich, Zurich, Switzerland

882
16:15
1H-NMR of carnosine combined with 31P-NMRS to better characterize skeletal muscle pH dysregulation in Duchenne muscular dystrophy
Harmen Reyngoudt1,2, Suna Turk1,2, and Pierre G. Carlier1,2

1NMR Laboratory, Institute of Myology, Paris, France, 2CEA, DRF, I²BM, MIRCen, Paris, France

883
16:15
Apparent short transverse relaxation time of inorganic phosphate in breast cancer tissue at 7 tesla.
Wybe JM van der Kemp1, Tijl A van der Velden1, Alexander M Schmitz1, Kenneth G Gilhuijs1, Peter R Luijten1, Dennis WJ Klomp1, and Jannie P Wijnen1

1Department of Radiology, UMC Utrecht, Utrecht, Netherlands

884
16:15
Acetate metabolism towards fatty acids is down-regulated in IDH1 mutant glioma as shown by 13C MRS
Chloé Najac1, Marina Radoul1, Pavithra Viswanath1, Myriam M Chaumeil1, and Sabrina M Ronen1

1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States

885
16:15
Automatic tissue-type classification of 1H-MRSI spectra in patients with glioblastoma
Nuno Pedrosa de Barros1, Raphael Meier2, Martin Pletscher1, Urspeter Knecht1, Mauricio Reyes2, Roland Wiest1, and Johannes Slotboom1

1SCAN / Neuroradiology, University Hospital Bern (Inselspital), Bern, Switzerland, 2Institute for Surgical Technology & Biomechanics, University of Bern, Bern, Switzerland

886
16:15
High and Ultra-High Field Proton MR Spectroscopy in Early Amyotrophic Lateral Sclerosis
Ian Cheong1, Malgorzata Marjanska, Dinesh Deelchand, Lynn Eberly, David Walk, and Gulin Oz

1University of Minnesota Twin Cities, Minneapolis, MN, United States

887
16:15
Detection of in vivo biomarkers in fungal brain infection models and potential determination of cell viability.
Liesbeth Vanherp1, Amy Hillen1, Jennifer Poelmans1, Katrien Lagrou2, Greetje Vande Velde1, and Uwe Himmelreich1

1Imaging and Pathology, University of Leuven, Leuven, Belgium, 2Laboratory of Clinical Bacteriology and Mycology, University of Leuven, Leuven, Belgium

888
16:15
Metabolic variability in a brief status epilepticus model
Jullie W Pan1, Yijen Wu2, Patrice Pearce3, Nihal de Lanerolle4, and Kevin Kelly5

1MRRC, University of Pittsburgh, Pittsburgh, PA, United States, 2Developmental Biology, Children's Hospital Pittsburgh, Pittsburgh, PA, 3Neurology, University of Pittsburgh, Pittsburgh, PA, 4Neurosurgery, Yale University, 5Allegheny Singer Research Institute, Pittsburgh, PA

889
16:15
Polyunsaturated fatty acid (PUFA) is associated with tumour grading – An ex vivo study on whole breast tumours using multiple quantum coherence (MQC) MRS
Sai Man Cheung1, Ehab Husain2,3, Yazan Masannat3,4, Klaus Wahle3,5, Steven D Heys3,4, and Jiabao He1

1Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen, United Kingdom, 2Pathology Department, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 3School of Medicine, University of Aberdeen, Aberdeen, United Kingdom, 4Breast Unit, Aberdeen Royal Infirmary, Aberdeen, United Kingdom, 5Strathclyde Institute of Pharmacy and Biological Sciences, Glasgow, United Kingdom

890
16:15
In-Vivo Regional detection of Gly in Human Brain: Implications in Glioma Patients at 3T
Vivek Tiwari1, Zhongxu An1, Sandeep Kumar Ganji1, and Changho Choi1

1Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States

891
16:15
Differential diagnosis of Hepatic metabolites between non-alcoholic steatohepatitis and simple steatosis in humans and a murine model using a 1H MR spectroscopy study with long TE
Tae-Hoon Kim1, Hong Young Jun1, Chang-Won Jeong1, Jong-Hyun Ryu1, Kou Gyeom Kim1, and Kwon-Ha Yoon2

1Radiology, Imaging Science Research Center, Iksan, Korea, Republic of, 2Radiology, Wonkwang University School of Medicine, Iksan, Korea, Republic of


Oral

Neuroimaging of High-Risk Pediatric Populations

Room 310 Wednesday 16:15 - 18:15 Moderators: Chris Smyser & Duan Xu

892
16:15
Fixel-based morphometry detects alterations in specific fibres in association with preterm birth: a proof-of-concept study.
Manuel Blesa1, Ahmed Serag1, Devasuda Anblagan1,2, Emma J. Telford1, Sarah A. Sparrow1, Scott I. Semple3, Mark E. Bastin2, and James P. Boardman1,2

1MRC Centre for Reproductive Health, University of Edinburgh, edinburgh, United Kingdom, 2Centre for Clinical Brain Sciences, University of Edinburgh, edinburgh, United Kingdom, 3Clinical Research Imaging Centre, University of Edinburgh, edinburgh, United Kingdom

Preterm birth is closely associated with diffuse white matter injury which contributes to long term neurocognitive impairment among survivors. Fixel-based analysis (FBA) is the study of specific fibre populations within a voxel; it provides measures of fibre bundle morphology by combining information about fibre density with structure. In this work, we applied FBA to neonatal dMRI data and provide proof-of-concept that fibre density and fibre bundle cross section may be useful measures for evaluating alterations to brain development associated with preterm birth. 

893
16:27
Characterising white matter tracts of the limbic system and neurodevelopmental outcomes in children born very preterm
Claire E Kelly1, Peter J Anderson1,2, Jenny Pham1, Thanh Nguyen1, Malcolm Cooper1, Andrea L Murray1, Wai Yen Loh1,3,4, Joseph YM Yang5,6,7, Jeanie LY Cheong1,8,9, Lex W Doyle1,2,8,9, and Deanne K Thompson1,2,3

1Murdoch Childrens Research Institute, Melbourne, Australia, 2Department of Paediatrics, The University of Melbourne, Melbourne, Australia, 3Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, 4The Florey Department of Neuroscience and Mental Health, The University of Melbourne, Melbourne, Australia, 5Department of Neurosurgery, The Royal Children's Hospital, Melbourne, Australia, 6Neuroscience Research, Murdoch Childrens Research Institute, Melbourne, Australia, 7Developmental Imaging, Murdoch Childrens Research Institute, Melbourne, Australia, 8Neonatal services, Royal Women’s Hospital, Melbourne, Australia, 9Department of Obstetrics and Gynaecology, The University of Melbourne, Melbourne, Australia

Children born very preterm are at risk of having problems with memory, learning, behavioural and emotional functioning, which are key functions of the brain’s limbic system. In 144 very preterm compared with 33 full-term 7-year-olds, altered microstructure, including axon density and orientation dispersion, and lower volume of limbic tracts were found, particularly for the fornix, cingulum and medial forebrain bundle. Associations were found between limbic tract microstructure and volume, particularly of the cingulum, uncinate fasciculus and anterior thalamic radiation, and memory, learning, behavioural and emotional functioning. This study improves knowledge of the contributing factors to poor neurodevelopmental outcomes in preterm children.

894
16:39
Micro- and macro-structural development of the cortex in preterm infants
Dafnis Batalle1, Hui Zhang2, Jonathan O'Muircheartaigh1,3, Antonios Makropoulos4, Emer Hughes1, Madeleine Barnett1, Paul Aljabar1, Daniel C Alexander2, Joseph V Hajnal1, A David Edwards1, and Serena J Counsell1

1Centre for the Developing Brain, Division of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom, 2Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 3Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom, 4Biomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom

We assessed micro and macrostructural cortical development in preterm infants using cortical curvature and thickness measures and neurite orientation and density imaging (NODDI). We studied two independent datasets of 64 and 42 neonates, and characterised the association between cortical features (median FA, MD, NDI, ODI, mean curvature and cortical thickness) and post-menstrual age (PMA) at MRI and gestational age at birth (degree of prematurity). We found a distinct pattern of development between the term (>37 weeks PMA) and preterm period (<37 weeks PMA), and different growth patterns between somatosensory and fronto-temporal areas.

895
16:51
White matter diffusion properties at term equivalent age are associated with subsequent motor performance in infants born preterm
Diliana Pecheva1, Hui Zhang2, Madeleine Barnett1, Andrew Chew1, Shona Falconer 1, Mary Rutherford1, Nigel Kinnea3, Joseph V. Hajnal1, Daniel C. Alexander2, A. David Edwards1, and Serena J. Counsell1

1Centre for the Developing Brain, Division of Imaging Sciences & Biomedical Engineering, King's Collge London, London, United Kingdom, 2Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 3Neonatal Unit, St Georges Hospital NHS Trust, London, United Kingdom

Preterm birth is associated with a high prevalence of neuro-motor impairment. We studied the relationship between motor function at two years and DTI measures in white matter (WM) fasciculi at term equivalent age using tract specific analysis in 109 preterm infants. Motor performance was significantly positively correlated with FA and negatively correlated with RD and MD in the corticospinal tract (CST) and corpus collosum (CC). DTI measures in other tracts were not related to motor function, suggesting a specific relationship between WM in the CST and CC and motor ability in this vulnerable group.

896
17:03
Identifying cerebral endophenotypes with associated clinical risk factors in preterm neonates
Gareth Ball1,2, Paul Aljabar1, Shona Falconer1, Andrew T. M Chew1, Nicholas Harper1, Chiara Nosarti1, Mary A Rutherford1, Serena J Counsell1, and A. David Edwards1

1Centre for the Developing Brain, Division of Imaging Sciences and Bioengineering, King's College London, London, United Kingdom, 2Developmental Imaging, Murdoch Children's Research Institute, Melbourne, Australia

In this study, we combine multimodal neuroimaging and multivariate statistical analysis in a large cohort of preterm infants at term-equivalent age. We report a set of orthogonal imaging phenotypes associated with specific antenatal and postnatal factors that correlate with cognitive and motor outcomes at 2 years. We conclude that contemporaneous environmental factors including adverse intrauterine conditions and postnatal clinical management may prefigure the high incidence of neurocognitive impairment in preterm-born individuals via the cumulative expression of distinct diffuse injury patterns.

897
17:15
Thyroxine Treatment in Preterms with Grade III/IV Hemorrhage and Microstructural White Matter Assessment with Diffusion Tensor Imaging: A Pilot Study
Vincent Kyu Lee1,2, Ashok Panigrahy1,2, and Praveen Ballabh3,4

1Radiology, University of Pittsburgh, Pittsburgh, PA, United States, 2Radiology, Children's Hospital of Pittsburgh UPMC, Pittsburgh, PA, United States, 3Pediatrics (Neonatology), Albert Einstein College of Medicine, New York, NY, United States, 4Neuroscience, Albert Einstein College of Medicine, New York, NY, United States

Intraventricular hemorrhage (IVH) in preterm infants is a complication that leads to neurodevelopmental delay and neurologic disorders.  In this study we used diffusion tensor imaging (DTI) to analyze the myelination and structural integrity of white matter in preterms with and without T4 treatment using a manual uniform region of interest based analysis and semi-automated method of tractography.  This small cohort pilot study of preterm subjects with Grade III-IV IVH demonstrated that thyroxine therapy may result in improved microstructural changes in certain tracts, and DTI maybe able to serve as neuroimaging biomarker for treatment efficacy in relation to thyroxine intervention.

898
17:27
DTI reveals crucial white matter lesions in bilateral spastic cerebral palsy in infants with non-cystic periventricular leukomalacia
Haoxiang Jiang1,2,3, Xianjun Li1,2, Chao Jin1, Miaomiao Wang1, Congcong Liu1, Kevin C. Chan4, and Jian Yang1,2

1Department of Diagnostic Radiology, The First Affiliated Hospital, Xi’an Jiaotong University, Xi’an, People's Republic of China, 2Department of Biomedical Engineering, School of Life Science and Technology, Xi’an Jiaotong University, Xi’an, People's Republic of China, 3Department of Diagnostic Radiology, Xi’an Children Hospital, Xi’an, People's Republic of China, 4Departments of Ophthalmology and Bioengineering, University of Pittsburgh, PA, United States

Predicting cerebral palsy (CP) in infants with periventricular leukomalacia (PVL) is important for early treatment and rehabilitation. This study aimed to determine the crucial WM lesions in spastic CP (SCP) of non-cystic PVL infants using diffusion tensor imaging (DTI). Our results suggest that there was deceased FA in the corticospinal tract (CST) of bilateral SCP infants, but not in PVL infants without CP. Meanwhile, the posterior thalamic radiation, and the splenium of corpus callosum were damaged both in SCP and No-CP PVL infants. Therefore, Lower FA in the CST maybe a prerequisite and biomarker for identifying and predicting the outcome of SCP in infants with non-cystic PVL.

899
17:39
Brain metabolic rate, but not perfusion or brain volume, predicts clinical scores in newborns at risk for brain injury
Peiying Liu1, Ying Qi2, Zixuan Lin1, Kaining Shi3, Qiyong Guo2, Xiaoming Wang2, and Hanzhang Lu1

1Radiology, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Radiology, Shengjing hospital of China Medical University, Shenyang, People's Republic of China, 3Imaging Systems Clinical Science, Philips Healthcare, Beijing, People's Republic of China

Hypoxic brain injury due to perinatal oxygen deprivation is one of the leading reasons of neonatal death and long-term disabilities. In this study, we evaluated the predictive values of cerebral blood flow (CBF), oxygen extraction fraction (OEF), cerebral oxygen metabolism (CMRO2), and brain volume as biomarkers in the assessment of hypoxic brain injuries in neonatal patients. Our results showed that among these biomarkers, only CMRO2 was significantly associated with Apgar score, which is the standard clinical score indicating the risks of prenatal and perinatal brain injuries. CBF and brain volume increase with age, but have no relationship with Apgar score.

900
17:51
Quantitative susceptibility mapping in the neonatal brain with congenital heart disease
Zungho Zun1,2,3, Kushal Kapse1, Gilbert Vezina1,3, Mary T Donofrio2,3,4, and Catherine Limperopoulos1,2,3

1Division of Diagnostic Imaging and Radiology, Children’s National Medical Center, Washington, DC, United States, 2Division of Fetal and Transitional Medicine, Children’s National Medical Center, Washington, DC, United States, 3Departments of Radiology and Pediatrics, George Washington University, Washington, DC, United States, 4Division of Cardiology, Children’s National Medical Center, Washington, DC, United States

Brain injury is a frequent complication in newborns with complex congenital heart disease (CHD) secondary to hemodynamic instability and increased risk for hypoxic-ischemic injury. In this study quantitative susceptibility mapping (QSM) was performed in newborns with complex CHD prior to open heart surgery and was compared to healthy control newborns. Mean susceptibility was significantly higher in the cortical gray matter of neonates with CHD versus controls suggesting reduced oxygenation in the cerebral vasculature in CHD preoperatively. QSM images also depicted less contrast in the CHD, which may be associated with delayed brain development. This is the first report to demonstrate the feasibility of neonatal QSM and susceptibility differences between CHD and controls.

901
18:03
Altered Functional Network Topology in Children with Complex Congenital Heart Disease is Associated with Reduced Regional Cerebral Perfusion and Cognitive Outcomes
Vincent Schmithorst1, Vince Lee1, Cecilia Lo2, and Ashok Panigrahy1

1Radiology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, United States, 2University of Pittsburgh

Pseudo-continuous ASL (pCASL) and resting-state BOLD data was obtained from a cohort of pre-adolescent patients with complex congenital heart disease (CHD) and healthy controls.  CHD patients displayed altered functional network topology (network segregation) in posterior default mode, subcortical, and prefrontal regions, as well as decreased regional CBF in subcortical and anterior default mode regions.  These alterations in functional topology and regional CBF were also associated with deficits in cognitive performance as measured by the NIH Toolbox (crystallized cognition).  These results suggest regional alterations in neuronal-vascular coupling may underlie neurocognitive deficits in pre-adolescent CHD patients.


Oral

Liver New Technique

Room 311 Wednesday 16:15 - 18:15 Moderators: Shintaro Ichikawa & Riccardo Lattanzi

902
16:15
Comprehensive T1-weighted dynamic liver MRI during free-breathing using fat/water separation, radial sampling, compressed sensing, parallel imaging, and motion-weighted reconstruction
Thomas Benkert1,2, Li Feng1,2, Luke Gerges1,2, Krishna P Shanbhogue1,2, Chenchan Huang1,2, Daniel K Sodickson1,2, Hersh Chandarana1,2, and Kai Tobias Block1,2

1Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, United States, 2Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States

Conventional clinical liver MRI consists of several exams, including pre-contrast in-phase, opposed-phase, and fat-saturated scans as well as multiple scans with contrast-enhancement. For each of these acquisitions, accurate breath-holding is required to ensure diagnostic image quality.

Here, we demonstrate how this entire protocol can be replaced by using a single comprehensive exam, where only one dataset has to be acquired during free-breathing. All relevant images can be retrospectively generated with model-based fat/water separation, which incorporates compressed sensing and parallel imaging. This approach has the potential to improve clinical workflow and eliminate the risk for failed exams caused by imperfect breath-holding.


903
16:27
Image quality assessment for free-breathing dynamic liver examination using a self-navigated Cartesian acquisition with iterative reconstruction
Benjamin Kaltenbach1, Dominik Nickel2, Ralph Strecker2, Andreas Bucher1, Thomas J. Vogl1, and Boris Bodelle1

1Goethe University Frankfurt, Frankfurt, Germany, 2Siemens Healthcare GmbH, Erlangen, Germany

Free-breathing DCE-MRI of the liver is feasible using a Cartesian acquisition with self-navigation and hard-gated reconstruction in oncological patients. Compared to a standard BH-VIBE, image quality was rated marginally lower but with useful robustness regarding breathing artifacts. Therefore, the proposed sequence is a promising alternative in patients who cannot comply with breathing commands, like children or elderly patients.

904
16:39
Respiratory resolved, self-gated, 4-dimensional MRI using Rotating Cartesian K-Space (ROCK): technical validation and initial clinical experience on an MRI-guided radiation therapy system
Fei Han1, Ziwu Zhou1, Yu Gao1, Percy Lee2, Minsong Cao2, Daniel Low2, Ke Sheng2, Yingli Yang2, and Peng Hu1

1Radiology, University of California, Los Angeles, CA, United States, 2Radiation Oncology, University of California, Los Angeles, CA, United States

Respiratory revolved 4D-MRI is used to quantify patient-specific respiratory motion to ensure optimal dose delivery in the radiation therapy of abdominal tumors. In this work, we developed a 4D-MRI technique using 3D k-space encoding, respiratory motion self-gating, and compressive sensing image reconstruction. The proposed 4D-MRI technique could provide high resolution, high quality, respiratory motion resolved 4D images with good soft-tissue contrast and are free of the “stitching” artifacts usually seen on 4D-CT, which is the current clinical standard. Results from motion phantom, healthy volunteers in a 1.5T diagnostic scanner and liver cancer patient in a 0.35T MRI-guided radiation therapy system demonstrated the feasibility of using the proposed 4D-MRI in radiation treatment planning.

905
16:51
High resolution multifrequency MR elastography of hepatic tumors for measurement of stiffness and mechanical heterogeneity
Mehrgan Shahryari1, Jing Guo1, Florian Dittmann1, Heiko Tzschätzsch1, Sebastian Hirsch1, Eric Barnhill1, Georg Böning1, Uli Fehrenbach1, Timm Denecke1, Jürgen Braun1, and Ingolf Sack1

1Charité - Universitätsmedizin Berlin, Berlin, Germany

High-resolution MRE of the liver based on multifrequency wave excitation and tomoelastography reconstruction is proposed for the mechanical characterization of hepatic tumors including stiffness and heterogeneity of the mechanical properties. We investigated 62 tumors in 43 patients and observed that high-grade tumors are stiffer than surrounding parenchyma, while low-grade hepatic adenoma had no altered stiffness. The intra-tumor heterogeneity of stiffness values was higher than in non-tumorous liver tissue. The proposed multifrequency MRE protocol could easily be integrated into the standard radiological workflow of our institution, thereby adding valuable information on tumor aggressiveness to standard clinical imaging markers.

906
17:03
Comparison of Spin-Echo Echoplanar Imaging and Gradient Recalled Echo Magnetic Resonance Elastography Pulse Sequences Among Patients with Hepatic Iron Overload at 3.0 T
Ely R Felker1, Steven S Raman1, Bradley D Bolster2, Holden Wu1, Kyung Sung1, Stephan Kannengiesser2, Brenda J Brown1, and David S Lu1

1Radiology, UCLA, Los Angeles, CA, United States, 2Siemens Healthcare

Most technical failures of GRE-based MR elastography are related to iron overload, especially at 3.0 T.  SE-EPI-based MR elastography may be a useful alternative.  3.0 T GRE and SE-EPI MR elastography sequences were compared in 20 patients with iron overload (mean R2* 114 sec-1) in terms of quantitative liver stiffness (LS) and image quality score (IQS), based on wave propagation and confidence mask coverage, as determined by two experienced radiologists. LS measurements were not significantly different between the two sequences.  SE-EPI showed a trend toward higher confidence mask coverage and significantly higher IQS for both readers compared to GRE. 

907
17:15
A New MR Elastography Parameter for Diagnosing Hepatic Fibrosis and Inflammation: Shear Attenuation
Meng Yin1, Jun Chen1, Kevin J. Glaser1, Jayant A. Talwalkar2, and Richard L. Ehman1

1Radiology, Mayo Clinic, Rochester, MN, United States, 2Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States

Liver attenuation was investigated in comparison to the well-established liver stiffness for detecting hepatic fibrosis in 108 patients with histology-proven chronic liver diseases. Both liver stiffness and attenuation successfully detected varying fibrosis and inflammation with equivalent accuracy. At 40 and 60Hz, both have excellent accuracy for distinguishing clinical significant fibrosis or inflammation  from others; moderate accuracy were obtained in distinguishing mild abnormalities from patients without abnormalities. Steatosis extent had no significant effect on liver stiffness and attenuation measurements. Our findings indicate that shear attenuation has equivalent diagnostic performance to that of liver stiffness for detecting liver disease progression.

908
17:27
Treatment response of hepatic and renal stiffness in patients with chronic HCV infection monitored by multifrequency MR elastography
Jing Guo1, Stephan Marticorena Garcia 1, Florian Dittmann1, Thomas Fischer1, Jürgen Braun2, and Ingolf Sack1

1Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany, 2Department of Medical Informatics, Charité - Universitätsmedizin Berlin, Berlin, Germany

Multifrequency abdominal MRE was applied to monitor stiffness of the liver and kidney in renal transplant recipients with chronic HCV infection after antiviral therapy. Within a 6-months period after medication, hepatic stiffness was significantly reduced while renal stiffness in kidney transplants was not altered. Wave speed obtained by high-resolution multifrequency MRE can serve as a quantitative imaging maker to assess the treatment response and monitor abdominal organ stiffness longitudinally.

909
17:39
Dynamic Gadoxetate Enhanced MRI measurement of segmental liver function – A novel imaging biomarker for predicting Post-Hepatectomy Liver Failure
David Alexander Longbotham1, Daniel Wilson2, Ashley Guthrie3, Ernest Hidalgo1, Raj Prasad1, and Steven Sourbron4

1Department of HPB and Transplantation Surgery, St James's University Hospital, Leeds, United Kingdom, 2Department of Medical Physics, St James's University Hospital, Leeds, United Kingdom, 3Department of Radiology, St James's University Hospital, Leeds, United Kingdom, 4Division of Biomedical Imaging, University of Leeds, Leeds, United Kingdom

Current risk assessment for post-hepatectomy liver failure (PHLF) is based on the volume of the future liver remnant (FLR). This is inaccurate when liver function is inhomogeneously distributed. We investigated whether the function of the FLR measured with DCE-MRI improves outcome predictions in 28 patients who had curative resection for colorectal liver metastases. We found the difference in preoperative estimates of FLR function and volume predicted PHLF with a sensitivity of 83% and specificity of 91%, indicating that: (1) inhomogeneous distribution of function is a major risk factor for PHLF; (2) DCE-MRI can improve patient outcome by correcting for the bias caused by volumetry.


910
17:51
Liver function estimation using hepatocyte fraction map at gadoxetic acid enhanced liver MRI in patients with chronic liver disease
Jeong Hee Yoon1, Eunju Kim2, Tomoyuki Okuaki3, and Jeong Min Lee1

1Seoul National University Hospital, Seoul, Korea, Republic of, 2Philips Healthcare Korea, 3Philips Healthcare Japan

Hepatocyte fraction derived from gadoxetic acid enhanced liver MRI may provide quantitative surrogate marker of liver function for ICG R15 in patients with chronic liver disease.

911
18:03
Does T1 Mapping Provide Additional Information in the Context of Hepatic Iron Overload?
Aaryani Tipirneni-Sajja1, Eric M. Kercher1, Ralf B. Loeffler1, Ruitian Song1, Matthew D. Robson2, M. Beth McCarville1, Jane S. Hankins3, and Claudia M. Hillenbrand1

1Diagnostic Imaging, St. Jude Children's Research Hospital, Memphis, TN, United States, 2Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom, 3Hematology, St. Jude Children's Research Hospital, Memphis, TN, United States

Hepatic iron content (HIC) is linearly correlated with R2*. Currently, there is little data on in vivo human liver iron assessment via longitudinal relaxation T1 (or R1) although an animal study previously suggested linear association, too. This study investigates hepatic T1 quantification in a breathhold by using ShMOLLI.  T1 and T2* liver mapping were performed in 124 iron loaded patients. We found linear association between R1 and R2*/HIC values for mild-moderate HIC at 1.5T and 3T. No association between T1 and T2* was found for high HIC, which is most likely due to technical limits of ShMOLLI for short T2*.


Oral

Spinal Cord Injury & Myelopathy

Room 312 Wednesday 16:15 - 18:15 Moderators: Gary Miller & Jason Talbott

912
16:15
Regional and structural integrity of the whole cervical spinal cord using 3D-T1 MP2RAGE and multi-slice multi angle DTI and ihMT sequences at 3T: preliminary investigations on age-related changes.
Henitsoa RASOANANDRIANINA1,2,3, Guillaume DUHAMEL1,2, Thorsten FEIWEIER4, Manuel TASO1,2,3, Aurélien MASSIRE1,2,3, Olivier GIRARD1,2, Maxime GUYE1,2, Jean-Philippe RANJEVA1,2, and Virginie CALLOT1,2,3

1Aix Marseille Univ, CNRS, CRMBM, Marseille, France, 2AP-HM, Pôle d'Imagerie Médicale, Hopital de La Timone, CEMEREM, Marseille, France, 3iLab-Spine International Associated Laboratory, Marseille, France, 4Siemens Healthcare GmbH, Erlangen, Germany

In this study, we present a 3T multi-parametric MR protocol allowing structural and diffuse evaluation of the whole cervical spinal cord (SC), within a clinically acceptable scan-time. The MRI protocol includes high-resolution anatomical T2*-weighted images allowing WM/GM atrophy evaluation, a MP2RAGE sequence allowing T1-mapping, a Multi-Slice Multi-Angle (MSMA) DTI sequence allowing evaluation of tissue structural organization and, last but not least, a MSMA inhomogeneous Magnetization transfer (ihMT) sequence allowing myelin-content evaluation in whole cervical SC. This protocol was combined with a template-based automated post-processing pipeline in a preliminary study investigating age- and region-related microstructural differences in specific regions along the cervical SC. 

913
16:27
Quantitative measurement of myelin in distinct pathways of the spinal cord: Implications for assessing neuropathic pain after spinal cord injury
Hanwen Liu1,2, Emil Ljungberg3, Erin MacMillan3, Laura Barlow4, Shannon Kolind3, John Kramer2,5, and Cornelia Laule2,6,7

1Physics, University of British Columbia, Vancouver, BC, Canada, 2International Collaboration on Repair Discoveries, Vancouver, BC, Canada, 3Medicine, University of British Columbia, Vancouver, BC, Canada, 4UBC Hospital, University of British Columbia, Vancouver, BC, Canada, 5Kinesiology, University of British Columbia, Vancouver, BC, Canada, 6Radiology, University of British Columbia, Vancouver, BC, Canada, 7Pathology and Laboratory Medicine, University of British Columbia, BC, Canada

Neuropathic pain is common in people with spinal cord injury (SCI). To better understand the type and severity of damage in the spinal cord associated with neuropathic pain, we used myelin water imaging (MWI) combined with spinal cord toolbox to study myelin content in specific pathways of spinal cord for both healthy and SCI subjects. Results show that MWI can distinguish different pathways of spinal cord and reduced myelin content in some specific pathways is found in SCI subjects. Our findings suggest that MWI with pathway-based analysis is capable of examining the correlation between damage pattern and neuropathic pain.

914
16:39
Multi-Parametric Spinal Cord MRI Detects Subclinical Tissue Injury in Asymptomatic Cervical Spinal Cord Compression
Allan R. Martin1, Benjamin De Leener2, Julien Cohen-Adad2, David W. Cadotte3, Jefferson R. Wilson1, Lindsay Tetreault1,4, Aria Nouri1, Adrian Crawley5, David J. Mikulis5, Howard Ginsberg1, and Michael G. Fehlings1

1Neurosurgery, University of Toronto, Toronto, ON, Canada, 2Electrical Engineering, École Polytechnique de Montréal, Montréal, QC, Canada, 3Neurosurgery, University of Calgary, Calgary, AB, Canada, 4Medicine, University College Cork, Cork, Ireland, 5Medical Imaging, University of Toronto, Toronto, ON, Canada

Degenerative cervical myelopathy (DCM) involves extrinsic spinal cord (SC) compression causing tissue injury and neurological dysfunction. Asymptomatic SC compression is much more common (8-26%), but it is unknown if tissue injury occurs in this group. Our multi-parametric MRI protocol previously identified 10 measures of tissue injury in DCM. Using these techniques, we demonstrate that asymptomatic SC compression subjects show a similar pattern of tissue injury, with 8/10 measures (p=0.05) showing the same direction of changes and MTRRostral (p=0.002), MTRMCL (p=0.03), and T2*w WM/GMRostral (p=0.04) showing significant univariate differences. A logistic regression model retaining 3 MRI measures shows 86% discrimination between compressed and uncompressed subjects.

915
16:51
Ventral and dorsal horn grey matter neurodegeneration remote from stenosis in cervical spondylotic myelopathy
Patrick Grabher1, Siawoosh Mohammadi2, Gergely David1, and Patrick Freund1,3,4,5

1Spinal Cord Injury Center, University of Zurich, Zurich, Switzerland, 2Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 3Department of Neurophysics, Max Planck Insitute for Human Cognitive and Brain Sciences, Leipzig, Germany, 4Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, United Kingdom, 5Department of Brain Repair and rehabilitation, UCL Institute of Neurology, London, United Kingdom

Cervical spondylotic myelopathy (CSM) is the most frequent spinal cord disorder. Next to focal degeneration at the compression site, the rostral cervical white and grey matter undergo atrophic changes, the magnitude relating to clinical impairment. In this study, we assess above stenosis regional grey matter changes and demonstrate that next to bilateral dorsal horn atrophy, the normal appearing ventral horns show diffusivity changes which relate to white matter integrity loss.

916
17:03
Statistical combinations of T1, MTR, MTsat and Macromolecular Tissue Volume to improve myelin content estimation in the human spinal cord at 3T
Simon Lévy1, Ali Khatibi2,3,4,5, Gabriel Mangeat1, Jen-I Chen2,6, Kristina Martinu2, Pierre Rainville2,6, Nikola Stikov1,7, and Julien Cohen-Adad1,8

1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 2Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montreal, QC, Canada, 3Psychology Department, Bilkent University, Ankara-06800, Turkey, 4Interdisciplinary program in Neuroscience, Bilkent University, Ankara-06800, Turkey, 5National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara-06800, Turkey, 6Department of Stomatology, Faculty of Dentistry, Université de Montréal, Montreal, QC, Canada, 7Montreal Heart Institute, Montreal, QC, Canada, 8Functional Neuroimaging Unit, Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montreal, QC, Canada

Several quantitative MRI metrics have been proposed to quantify myelin in the central nervous system but each of them includes confounding factors that impair their sensitivity and specificity. Because these factors are different across metrics, data driven approaches developed for blind source separation problems to extract the common component between recordings of the same sources seem appropriate. This study compares linear and nonlinear methods to combine myelin-sensitive metrics: T1, MTR, MTsat, MTV (1 – PD). The repeatability of the resulting combined metrics as well as their sensitivity to different microstructural features are tested. A higher sensitivity is achieved with linear combinations.

917
17:15
Multi-Parametric Cervical Spinal Cord MRI Provides An Accurate Diagnostic Tool for Detecting Clinical Myelopathy
Allan R. Martin1, Benjamin De Leener2, Julien Cohen-Adad2, David W. Cadotte3, Jefferson R. Wilson1, Lindsay Tetreault1,4, Stefan F. Lange1, Aria Nouri1, Adrian Crawley5, David J. Mikulis5, Howard Ginsberg1, and Michael G. Fehlings1

1Neurosurgery, University of Toronto, Toronto, ON, Canada, 2Electrical Engineering, École Polytechnique de Montréal, Montréal, QC, Canada, 3Neurosurgery, University of Calgary, Calgary, AB, Canada, 4Medicine, University College Cork, Cork, Ireland, 5Medical Imaging, University of Toronto, Toronto, ON, Canada

ddd

918
17:27
Fully automatic segmentation of spinal cord gray matter on patients with degenerative cervical myelopathy
Sara M. Dupont1, Allan R. Martin2,3, Nikola Stikov1,4, Michael G. Fehlings2,3, and Julien Cohen-Adad1,5

1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 2Division of Neurosurgery, Department of Surgery, University of Toronto, Toronto, ON, Canada, 3Toronto Western Hospital, University Health Network, Toronto, ON, Canada, 4Montreal Heart Institute, Montreal, QC, Canada, 5Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada

Degenerative cervical myelopathy (DCM) occurs when arthritic changes cause extrinsic spinal cord (SC) compression, inducing motor and sensory disabilities due to gray matter (GM) and white matter (WM) injury. GM segmentation of MR images can quantify atrophy of both GM and WM and may offer biomarkers to improve diagnosis, monitoring of disease progression, and prognosis. In this study, the GM of 33 DCM patients and 8 healthy subjects was automatically segmented using the method included in the Spinal Cord Toolbox (SCT). GM segmentation results were in good accordance with the underlying anatomy, demonstrating the feasibility of automatic GM segmentation in DCM patients exhibiting severe SC compression.

919
17:39
The use of 3D FSE in place of 2D T2-FSE, 2D T2*-GRE in the diagnosis of cervical spinal non-neoplastic lesion
tianyong xu1, guang han2, songguo liu2, mingzhi pan3, yang li4, zhenyu zhou5, and bing wu5

1MR application, GE healthcare china, shanghai, People's Republic of China, 2radiology, Chinese medicine hospital of Linyi, shandong, People's Republic of China, 3radiology, the second affiliated hospital of Shandong university of traditional Chinese medicine, shandong, People's Republic of China, 4radiology, the second hospital of Shandong university, shandong, People's Republic of China, 5MR modality, GE healthcare china, beijing, People's Republic of China

Magnetic resonance imaging has been accepted as the predominant imaging tool for diagnosis of spinal disease, such as protrusion of intervertebral disc, tumor, inflammation, trauma [1]. T2 weighted imaging is commonly used for diagonosis in many medial centers, however 2D fast spin echo (FSE) image quality is often limited by several practical factors including low fat content, high susceptibility effect and vunerability to motion and pulsation. T2* weighted imaging is another popular choice [2]. Improved contrast may be obtained between gray matter and white matter of medullar. The drawback of T2* imaging is the hyperintense gray matter signal may may cause the small cervical spinal cord lesion to be overlooked. In this work, the use of 3D FSE is assessed and compared to 2D T2 and T2* imaging, and hypothesized to overcome their shortcomings.

920
17:51
Anthropomorphic Spinal Cord Phantom with Induced Field Inhomogeneity
Alan C Seifert1,2,3, Vaishali Patel1, Merin Grace1, Robin Li1, Mohammad Molla4, Joseph Borrello1,2,3, and Junqian Xu1,2,3,5

1Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 4Department of Mechanical Engineering, The City College of New York, New York, NY, United States, 5Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, United States

The human spinal cord exists in a particularly unfavorable magnetic field environment.  Technical development of diffusion and functional MRI methods would be facilitated by a phantom to model spatially and temporally periodic field inhomogeneities.  We have designed a phantom capable of simulating these specific field disturbances.  The spinal canal was machined from acrylic, and the cord was cast of polyvinyl alcohol.  The phantom was imaged using anatomical CT and MRI, and functional and diffusion EPI protocols.  The phantom has relaxation and diffusion properties similar to the human cord, and air-filled vials create spatially periodic frequency shifts of -100 Hz.

921
18:03
Longitudinal MRS, MRI and DTI of the spinal cord in Friedreich’s Ataxia
Pierre-Gilles Henry1, James M Joers1, Dinesh K Deelchand1, Diane Hutter1, Khalaf O Bushara1, Gülin Öz1, and Christophe Lenglet1

1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States

We report the first longitudinal MRS, structural MRI, and diffusion MRI data in the cervical spinal cord of subjects with Friedreich’s ataxia. We were able to detect significant changes in spinal cord area (-18%), tNAA/mIns ratio (-17%), fractional anisotropy (-11%) and mean diffusivity (+26%) in a group of 10 patients over 24 months. Our data suggest that MR of the spinal cord could be useful to assess the impact of potential treatments on neurodegeneration in upcoming clinical trials in FRDA.


Oral

Structure & Function Imaging of the Heart

Room 313A Wednesday 16:15 - 18:15 Moderators: Martijn Froeling & David Sosnovik

922
16:15
Quantification of Increased Myocardial Stiffness in Patients with Hypertrophic Cardiomyopathy Using 3D High Frequency Cardiac Magnetic Resonance Elastography
Shivaram Poigai Arunachalam1, Arvin Arani1, Ian Chang2, Yi Sui1, Phillip Rossman1, Kevin Glaser1, Joshua Trzasko1, Kiaran McGee1, Armando Manduca3, Richard Ehman1, Richard Ehman1, and Philip Araoz1

1Radiology, Mayo Clinic, ROCHESTER, MN, United States, 2Cardiovascular Diseases, Mayo Clinic, ROCHESTER, MN, United States, 3Biomedical Engineering and Physiology, Mayo Clinic, ROCHESTER, MN, United States

Abnormal thickening of myocardium in patients with hypertrophic cardiomyopathy impairs the pump function, and in particular affects diastolic filling with a known increase in myocardial stiffness. The purpose of this work was to determine if 3D high frequency cardiac MR elastography (MRE) can quantitatively differentiate increased myocardial stiffness in HCM patients compared to healthy volunteers. 36 patients with clinical diagnosis for hypertrophic cardiomyopathy (HCM) and 47 healthy volunteers were studied. The myocardial stiffness of HCM patients (mean: 12.01 kPa) was found to be significantly stiffer (p < 0.01) than healthy controls (mean: 7.79 kPa). 

923
16:27
CMR Demonstrates Structure-Function Relationship in Patients after Heart Transplantation
Ryan Dolan1, Amir Rahsepar1, Julie Blaisdell1, Kai Lin1, Kenichiro Suwa1, Allen Anderson2, Kambiz Ghafourian2, Esther Vorovich2, Jonathan Rich2, Jane Wilcox2, Clyde Yancy2, Jeremy Collins1, James Carr1, and Michael Markl1

1Radiology, Northwestern University, Chicago, IL, United States, 2Cardiology, Northwestern University, Chicago, IL, United States

Cardiac MRI demonstrates differences between heart transplant recipients and controls using tissue phase mapping (TPM), T2, and T1.  Significant correlations between myocardial velocities and dyssynchrony obtained from TPM (myocardial function) and T2 and T1 (myocardial tissue structure) suggest a relationship between impaired structure and function among transplant recipients.

924
16:39
4D Flow MRI, Cardiac Function, and Myocardial T1-Mapping: Ventricular-arterial coupling in Patients with Bicuspid Aortic Valve (BAV)
Julia Geiger1, Amir Rahsepar1, Kenichiro Suwa1, Alex Powell1, Alex J Barker1, Jeremy D Collins1, James Carr1, and Michael Markl1,2

1Radiology, Northwestern University, Chicago, IL, United States, 2Biomedical Engineering, Northwestern University, Chicago, IL, United States

BAV is the most prevalent congenital cardiovascular malformation. Its association with progressive ascending aortic dilatation and concomitant aortic valve stenosis or regurgitation with increasing age has a critical impact on patients’ morbidity. We applied a comprehensive CMR protocol in 50 BAV patients consisting of cine-imaging, T1-mapping and 4D flow MRI to simultaneously assess cardiac parameters and aortic hemodynamics. We observed significant relationships between LV mass and WSS as well as peak velocities in the AAo and arch, likewise in the sub-cohort with normal valve function, leading us to the hypothesis that there is proof for ventricular-aortic coupling in BAV patients.

925
16:51
Feature tracking myocardial strain analysis in acute myocarditis: Diagnostic value and association with myocardial inflammation and edema
Julian A. Luetkens1, Ulrike Schlesinger-Irsch1, Daniel L. Kütting1, Darius Dabir1, Rami Homsi1, Jonas Doerner1, Frederic C. Schmeel1, Alois M. Sprinkart1, Claas P. Naehle1, Hans H. Schild1, and Daniel K. Thomas1

1Radiology, University of Bonn, Bonn, Germany

Cardiac magnetic resonance (CMR) can detect inflammatory myocardial alterations in patients with acute myocarditis. The addition of myocardial strain analysis might further broaden the diagnostic targets of CMR. We investigated myocarditis patients using multiparametric CMR including a feature-tracking analysis of myocardial strain parameters. We could demonstrate that myocardial strain measurements can reliable discriminate between diseased and healthy patients. Furthermore, strain measurements are associated with the extent of myocardial edema/inflammation. These findings indicate that CMR feature-tracking strain analysis adds important diagnostic information, and might serve as a new tool for the assessment of myocardial dysfunction in patients with acute myocarditis.

926
17:03
Impact of eddy-currents and cardiac motion in DTI of the in-vivo heart - a comparison of second-order motion compensated SE versus STEAM
Christian Torben Stoeck1, Constantin von Deuster1, Robbert van Gorkum1, and Sebastian Kozerke1

1Institute for Biomedical Engineering / University and ETH Zurich, Zurich, Switzerland

Motion-compensated (M2) spin-echo (SE) and stimulated-echo acquisition mode (STEAM) sequences have been proposed to generate diffusion contrast in in-vivo cardiac imaging. When comparing measured fractional anisotropy and mean diffusivity of cardiac tissue, marked differences have been reported between SE and STEAM. Cardiac motion, perfusion, different mixing times and eddy-currents have been discussed as potential source of discrepancies. In this study it is shown that signal dephasing due to eddy-currents play a minor role. While SE is more prone to motion-induced dephasing compared to STEAM, reported differences in mean diffusivity can only marginally be explained by motion-induced signal loss in SE.

927
17:15
In Vivo Assessment of Cardiomyocyte Performance Using Combined Cardiac DENSE and cDTI
Patrick Magrath1,2, Luigi E. Perotti 1,2, Eric Aliotta 2,3, Ilya A. Verzhbinsky 2, Kévin Moulin2, and Daniel B. Ennis1,2,3

1Department of Bioengineering, University of California, Los Angeles, CA, United States, 2Department of Radiological Sciences, University of California, Los Angeles, CA, United States, 3Biomedical Physics IDP, University of California, Los Angeles, CA, United States

Circumferential strain (Ecc) derived from cardiac DENSE 3D displacement maps is a promising biomarker for diagnosing early stages of cardiac disease. Ecc is commonly evaluated only in the mid-wall where it is expected to align with the local myofiber direction. Our aim was to combine cDTI and DENSE displacement data to directly characterize strain along the fiber direction (Eff) throughout the heart. Across all healthy subjects (N=9), Eff had a smaller peak systolic transmural gradient than Ecc (-0.035±0.041 vs. -0.097±0.030 (unitless), p<0.001). Eff is a more spatially uniform measure of regional LV function in healthy volunteers and provides a microstructurally anchored measure of cardiomyocyte performance.

928
17:27
Self-Gated Golden Angle Spiral CINE MRI for Endothelial Function Assessment
Gabriele Bonanno1,2, Allison G Hays1, Robert G Weiss1,2, and Michael Schär2

1Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Division of MR Research, Russel H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, United States

A novel self-gated 2D spiral CINE MRI method is proposed to assess coronary endothelial function (CEF) and was tested in healthy volunteers. Cardiac self-gating data were extracted from the k-space center and showed high correlation with simultaneously-recorded ECG. High coronary image quality and CEF measures, in good agreement with a standard ECG-triggered method, can now be obtained without the need for ECG.

929
17:39
Characterisation of in-vivo and ex-vivo cardiac Diffusion Tensor Imaging scalar measures of cardiac microstructure in healthy swine
Sonia Nielles-Vallespin1,2, Pedro F Ferreira2, Andrew D Scott2, Ranil de Silva2, Philip Kilner2, Daniel B Ennis3, Dudley J Pennell2, David N Firmin2, and Andrew E Arai1

1NHLBI, NIH, Bethesda, MD, United States, 2Royal Brompton Hospital, Imperial College of London, London, United Kingdom, 3Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States

In-vivo cDTI was performed at several cardiac phases in healthy swine (N=16), followed by ex-vivo cDTI in two contractile states. The three eigenvalues (L1, L2, L3), MD, FA and Mode were compared. All trends between in-vivo diastole and systole matched those between ex-vivo relaxed and contracted states, except for MD, which decreased ~10% in-vivo from diastole to systole, with no significant differences ex-vivo between relaxed and contracted states. These results provide a useful baseline for future preclinical studies with cardiac disease models, and might contribute towards formulating a strain correction model that accounts for the microstructural constraints and deformations of the myocardium.

930
17:51
Strain analysis methods from CMR more sensitive than echocardiographic methods to small differences in cardiotoxicity remodeling between risk groups of cancer survivors.
Delphine Perie1, Hadi Begdouri1, Mohamed Aissiou1, Farida Cheriet1, Tarik Hafyane2, Matthias Friedrich3, Caroline Laverdière4, Maja Krajinovic5, Daniel Sinnett5, Gregor Andelfinger6, and Daniel Curnier7

1Mechanical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 2Research Center, Montreal Heart Institute, Montreal, QC, Canada, 3Health Center, McGill University, Montreal, QC, Canada, 4Pediatric Oncology, CHU Sainte-Justine, Montreal, QC, Canada, 5Research Center, CHU Sainte-Justine, Montreal, QC, Canada, 6Pediatric Cardiology, CHU Sainte-Justine, Montreal, QC, Canada, 7Kinesiology, Université de Montréal, Montreal, QC, Canada

The use of cardiac strain mapping may provide useful knowledge that may help in detecting doxorubicin-induced cardiotoxicity at a functional scale. Although the feasibility of CMR has been established, there are no standard acquisition protocols or processing pipelines to assess cardiac strain maps. Compared to echocardiography, strain analysis methods from CMR are more sensitive to small differences in cardiotoxicity between risk groups in cancer survivors. While strain mapping from echocardiography remains adequate to detect large differences between healthy volunteers and patients with diseases, our study highlighted the necessity to combine different strain mapping methods to fully describe small cardiac damages

931
18:03
Longitudinal study of myocardial T1 and T2 relaxation times in aortic stenosis patients: before, and 3- and 12 months after aortic valve replacement
Sofia Kvernby1,2, Mattias Rönnerfalk1, Marcel Warntjes2, Carl-Johan Carlhäll1,2, Eva Tamás1, Jan Engvall1,2, and Tino Ebbers1,2

1Institution for Medicine and Health, Linköping University, Linköping, Sweden, 2Center for Medical Image Science and Visualization, Linköping, Sweden

The purpose of this pilot study is to investigate whether myocardial relaxation times (T1 and T2), alter over time in patients with severe aortic valve stenosis, from pre-surgery to 12 months after aortic valve replacement.  Myocardial relaxation times were measured pre surgery, and 3 months and 12 months post surgery with 3D-QALAS, T1-MOLLI and T2-GraSE. The results demonstrated significant changes in myocardial relaxation times over time after surgery in this patient group. 


Oral

Fingerprinting & Parameter Quantification

Room 313BC Wednesday 16:15 - 18:15 Moderators: Dan Ma & Martin Uecker

932
16:15
Dictionary-free MR Fingerprinting with low-pass balanced-GRE sequences.
Alessandro Sbrizzi1, Tom Bruijnen1, Peter R. Luijten1, and Cornelis A.T. van den Berg1

1UMC Utrecht, Utrecht, Netherlands

We reconsider balanced gradient-echo (GRE) sequence for MR fingerprinting and design an excitation scheme which is very robust to off-resonance. The corresponding data can be accurately reconstructed  by standard least-squares fitting methods, a novelty for MRF. Construction of the pre-computed dictionary and exhaustive search are thus no longer needed.

933
16:27
Improved spiral trajectory correction using the gradient impulse response function (GIRF) with application to MR Fingerprinting
Martin Berzl1,2, Antoine Pfeil1, Craig Meyer3, Adrienne Campbell-Washburn4, Gregor Körzdörfer1, Mathias Nittka1, Andreas Maier2, and Josef Pfeuffer1

1Application Development, Siemens Healthcare, Erlangen, Germany, 2Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany, 3Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 4Biochemistry and Biophysics Center, Division of Intramural Research, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, MD, United States

The purpose of this study is to evaluate different spiral trajectory prediction models - isotropic, Tan-Meyer and GIRF - to mitigate image artifacts for spiral MRI and improve accuracy of quantitative T1/T2 values for MR Fingerprinting. GIRF scan parameters were optimized to allow a total measurement time of only six minutes for a one-time calibration. GIRF similarly provided excellent results for vastly different trajectory types, varying in max. slew rate, gradient amplitude and number of interleaves, and showed some advantages against Tan-Meyer for trajectory designs with high k-space center slew rate, both for qualitative and quantitative results.

934
16:39
Spiral-out and -in Double Echoes (SOIDE) Magnetic Resonance Fingerprinting with Improved T2 Mapping
Huihui Ye1, Congyu Liao1, Qing Li1, Xiaozhi Cao1, Bo Zhao2, Berkin Bilgic2, Kawin Setsompop2, Hongjian He1, Huafeng Liu1, and Jianhui Zhong1

1Zhejiang University, Hangzhou, People's Republic of China, 2Massachusetts General Hospital

Magnetic resonance fingerprinting (MRF) provides fast and simultaneous mapping of parameters including T1 and T2. However, T2 mapping in MRF has been less robust and accurate than T1 in its current form. In this work, we propose a new sequence with spiral-out and -in double echoes (SOIDE) for MRF in each TR block which provide double echo signal with better T2 contrast. The proposed SOIDE-MRF shows improved performance over FISP-MRF, as demonstrated in Monte Carlo simulation on a numerical brain phantom (at Tacq=6s/slice, NRMSE of T2 reduced to 9.41% in SOIDE-MRF, and FISP-MRF ~11% at Tacq=12s/slice) and in vivo brain (less biased and more stable T2).

935
16:51
Motion corrected Magnetic Resonance Fingerprinting using Soft-weighted key-Hole (MRF-McSOHO)
Gastao Cruz1, René Botnar1, and Claudia Prieto1

1Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom

Magnetic Resonance Fingerprinting (MRF) estimates multi-parametric maps from a large amount of highly undersampled time-point images. MRF has been shown to be robust to the presence of abrupt motion occurring towards the end of the acquisition. In this work we further study the effects of different types of motion on MRF, showing high sensitivity to periodic motion and motion occurring at the beginning of the MRF scan. A method for 2D translational motion correction in MRF is proposed and validated in vivo, showing significant improvements when compared with no motion correction.

936
17:03
On optimizations of MRF patterns based on generalized MRI sequence schemes
Mathies Breithaupt1,2, Sebastian Flassbeck1, and Mark E. Ladd1

1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Institute for Forensic Medicine and Traffic Medicine, University Hospital Heidelberg, Heidelberg, Germany

Within this study, we introduce an MRF pattern generation by the incorporation of a generalized MRI sequence scheme. Optimizations of these patterns lead to a higher matching accuracy and a potential for higher efficiency.

937
17:15
Calculation of Large MRF Dictionaries with Low Memory Overhead Using Randomized SVD
Mingrui Yang1, Dan Ma1, Yun Jiang2, Jesse Hamilton2, Nicole Seiberlich2, Mark Griswold1, and Debra McGivney1

1Department of Radiology, Case Western Reserve University, Cleveland, OH, United States, 2Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States

Direct calculation of MRF dictionaries can be prohibitive when high resolution or multi-component chemical exchange effects are taken into account. To address this problem, we propose a new approach based on the randomized SVD (rSVD) to generate a low rank approximation of the large sized dictionary without the need of pre-calculating, storing, or loading the dictionary. This in return saves significant amounts of memory, and speeds up the template matching process of MRF. In addition, when combined with polynomial fitting, one can generate MRF maps with arbitrary high resolution dictionaries.

938
17:27
Off-Resonance Correction for MR Fingerprinting Using Multiple Frequency Interpolation
Jason Ostenson1,2, Ryan K. Robison3, Nicholas R. Zwart3, and E. Brian Welch1,4,5

1Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 2Program in Chemical and Physical Biology, Vanderbilt University, Nashville, TN, United States, 3Neuroimaging Research, Barrow Neurological Institute, Phoenix, AZ, United States, 4Department of Radiology and Radiological Sciences, Vanderbilt University, 5Department of Biomedical Engineering, Vanderbilt University

While T1 and T2 parameter mapping using fast imaging with steady-state precession (FISP) magnetic resonance fingerprinting (MRF) has shown consistency with classic relaxometry techniques under static field (B0) inhomogeneity, the use of spiral k-space trajectories blurs parameter map boundaries in regions of high B0 variability. This work shows deblurring in phantom and in vivo relaxation maps generated using a published MRF sequence in conjunction with multi-frequency interpolation (MFI) acquired using undersampled and fully sampled spirals on a 3 Tesla human MR scanner.

939
17:39
Multiparametric T2* MR Fingerprinting
Cory Robert Wyatt1,2, Travis Smith3, Manoj K Sammi2, William Rooney2, and Alexander Guimaraes1

1Radiology, Oregon Health and Science University, Portland, OR, United States, 2Advanced Imaging Research Center, Oregon Health and Science University, Portland, OR, United States, 3Casey Eye Institute, Oregon Health and Science University, Portland, OR, United States

Previous magnetic resonance fingerprinting studies have focused on T1 and T2 relaxation times, relying solely on flip angle and repetition time changes, leaving the TE as short as possible for optimal SNR and phase.  In this study, T1 and T2 MR fingerprinting is extended to include T2* relaxation by varying echo times across acquisitions. The resulting T1, T2, T2*, and B0 maps are then compared to maps obtained with conventional sequences, showing good spatial and quantitative agreement.  A novel phase dictionary is used to before the full T1/T2/T2* dictionary to produce B0 maps with fine resolution and reduce computational time.

940
17:51
Effect of diffusion weighting due to spoiler gradients in MR Fingerprinting
Yasuhiko Terada1 and Yuta Kobayashi1

1University of Tsukuba, Tsukuba, Japan

MR fingerprinting based on a fast imaging with steady-state precession (MRF-FISP) is immune to banding artifacts due to the inhomogeneous field, and thus has been widely used for rapid quantification of tissue parameters. However, the MRF-FISP could still be affected by banding artifacts for high-field-strengths, insufficient shimming, and wide field-of-view scanners. In such cases, use of much stronger spoiler gradients could alleviate the banding artifacts, but it would increase the diffusion weighting of the spoiler gradients and lead to the underestimation of T2 values. In this study, we examined the effect of the diffusion weighting and showed the correction methods.

941
18:03
A model-based velocity mapping of blood flow using MR fingerprinting
Xiaozhi Cao1, Congyu Liao1, Zhixing Wang1, Qing Li1, Huihui Ye1, Ying Chen1, Hongjian He1, and Jianhui Zhong1

1Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, Zhejiang University, Hangzhou, People's Republic of China

A hemodynamic mode was embedded into the extended phase graph algorithm for introducing the recognition ability of flow velocity into MR fingerprinting. The results of phantom and in-vivo experiments demonstrate that the proposed method can quantify the flow velocity, T1, T2 and proton density simultaneously.


Oral

Breast Imaging

Room 314 Wednesday 16:15 - 18:15 Moderators: Christiane Kuhl & Elizabeth Morris

942
16:15
Saturated fatty acid fraction in breast adipose tissue is higher in patients with cancer than in those with benign lesions
Sungheon Gene Kim1, Neeti Bagadiya1, Pippa Storey1, Melanie Moccaldi1, and Linda Moy1

1Center for Advanced Imaging Innovation and Research, Radiology, New York University School of Medicine, New York, NY, United States

Gradient-echo Spectroscopic Imaging (GSI) was used to conduct voxel-wise analysis of fatty acid composition in breast adipose tissue in postmenopausal women. Parametric maps of fatty acid fractions show significantly higher saturated fatty acids in women with malignant tumors than in those with benign lesions. This result is consistent with a previous study based on manually selected regions of interest, and suggests that, for post-menopausal women, higher saturated fatty acids may be related to breast cancer development. Non-invasive evaluation of lipid composition using GSI may aid in breast cancer risk assessment and provide insight into physiological mechanisms that facilitate cancer development.     

943
16:27
Diffusion Kurtosis Imaging with Readout-Segmented SE-EPI for Breast Lesions: Comparison with Single-shot SE-EPI at 3T
TAO AI1, Ya-guang Li1, and Li-ming Xia1

1Radiology, Tongji Hospital, Tongji Medical College, HUST, Wuhan, People's Republic of China

As an effective and sensitive diagnostic modality for tumor imaging, routine DWI and DKI based SS-EPI are limited by image distortion and poor spatial resolution at 3T, which can be significantly improved by RESOLVE technique.

944
16:39
Correlation between Breast Cancer Molecular Subtypes and Parameters of Dynamic Contrast Enhanced (DCE) MRI and Intravoxal Incoherent Motion (IVIM): Implication for Breast Cancer Anti-angiogenesis Treatment Guidance
WanChen Tsai1, KaiMing Chang2, and KuoJang Kao2

1Radiology, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan, 2Research, Koo Foundation Sun Yat-Sen Cancer Center, Taipei, Taiwan

This prospective study correlates DCE MRI and IVIM with breast cancer molecular subtypes by examine the differences in vascular normalization signature genes. We found molecular subtype III and VI with higher pericyte gene scores to have significantly lower perfusion related parameters, higher extracellular extra-vascular space on DCE MRI and IVIM. These associations may be used to guide anti-angiogenesis treatment for breast cancer.

945
16:51
Multi-parametric Diffusion-weighted Imaging Models: Useful Tools for Diagnosis and Prognosis in Breast Cancer?
Shiteng Suo1, Fang Cheng1, Jia Hua1, Qing Lu1, Lyu Li2, and Jianrong Xu1

1Department of Radiology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China, 2MR Clinical Science, Philips Healthcare, Greater China, Shanghai, People's Republic of China

Multi-parametric diffusion-weighted imaging (DWI) has shown potential in characterizing breast cancer. In this study, we for the first time evaluated the four common diffusion models in various breast lesions. Results showed that (1) optimal DWI signal attenuation behaviors differ between benign and malignant breast lesions (kurtosis model suited for benign and stretched-exponential model suited for malignant); (2) for predicting the malignancy of breast lesions, or the invasive nature of breast cancer, mono-exponential ADC is still the most preferred parameter; and (3) parameters based on non-mono-exponential DWI models may be more related with prognostic factors in invasive breast cancer.

946
17:03
Complementary value of contralateral parenchymal enhancement on DCE-MRI to conventional prognostic models and molecular assays of breast cancer
Bas H.M. van der Velden1, Tycho Bismeijer2, Claudette E. Loo3, Lodewyk F.A. Wessels2, Max A. Viergever1, and Kenneth G.A. Gilhuijs1

1Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands, 2Division of Molecular Carcinogenesis, the Netherlands Cancer Institute–Antoni van Leeuwenhoek Hospital, Amsterdam, Netherlands, 3Department of Radiology, the Netherlands Cancer Institute–Antoni van Leeuwenhoek Hospital, Amsterdam, Netherlands

The purpose of this study was to assess whether MR contrast-enhancement in healthy stromal tissue of the breast is able to further stratify survival of patients considered to be at high risk according to prognostic models derived from the tumor. In 415 patients with pathology proven unilateral invasive ER+HER2- breast cancer, the contralateral parenchymal enhancement was automatically extracted. Contralateral parenchymal enhancement appears to complement existing prognostic models derived from the tumor. In patients at high risk according to conventional prognostic models or molecular assays, contralateral parenchymal enhancement was able identify a subgroup with a relative good survival.

947
17:15
Quantitative non-Gaussian diffusion and IVIM MRI: Correlation between synthetic parameters and breast cancer biomarkers
Mami Iima1,2, Masako Kataoka1, Shotaro Kanao1, Natsuko Onishi1, Makiko Kawai1, Akane Ohashi1, Rena Sakaguchi1, Ayami Ohno Kishimoto1, Masakazu Toi3, and Kaori Togashi1

1Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 2Hakubi Center for Advanced Research, Kyoto University, Kyoto, Japan, 3Department of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan

The association of IVIM/non-Gaussian diffusion MRI parameters with biological feature or subtypes in breast cancer was evaluated. For 144 malignant lesions, IVIM (fIVIM,D*) and non-Gaussian diffusion (ADCo,K) parameters were estimated from DWI series with 16 b values (0-2500sec/mm2), as well as syntheticADC (sADC) (b=200,1500sec/mm2) and ADC (b=0,800sec/mm2). sADC and K values were significantly different between ER,PgR,andHer2 status (p<0.05,0.01,0.05 for sADC and p<0.05,0.05,0.05 for K). There was a significant difference of ADC values between PgRandHer2 status (p<0.05,0.01). No significant difference of IVIM was found. ADCo, sADC, and ADC showed the statistical significance in differentiating subtypes of breast cancer (p<0.05,<0.01,<0.01).

948
17:27
B1 Mapping for Breast Sodium MRI at 7T- A Comparison between Double Angle and Phase-sensitive Method
Olgica Zaric1,2, Lenka Minarikova1, Sefan Zbyn1,3, Armin Nagel4,5, Lena Gast4, and Siegfrid Trattnig1

1Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 2Christian Doppler Laboratory for Clinical Molecular MRI, Christian Doppler Forschungsgesellschaft, Vienna, Austria, 3Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland, 4Institute of Radiology, University Hospital Erlangen, Erlangen, Germany, 5Division of Medical Physics in Radiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany

Absolute values of sodium content in tumors is one of the most important biomarkers for cancer diagnostics and therapy monitoring. An accurate quantitative values are influenced by B1 inhomogeneity that must be evaluated and corrected. In this work, we compared two mapping methods DAM and PS. On the basis of our results, we found that DAM gives overestimated flip angle values (approximately 30% higher than PS). Also, after correction is applied, DAM shows higher signal drop in comparison with PS.  Accompanied with longer measurement time necessary for DAM, this findings give advantages to PS in clinical studies and routine implementation.

949
17:39
Reproducibility of ADC measures by Breast DWI: Results of the ACRIN 6698 Trial
David C Newitt1, Zheng Zhang2, Jessica Gibbs1, Savannah C Partridge3, Thomas L Chenevert4, Patrick J Bolan5, Mark Rosen6, Helga Marques2, and Nola Hylton1

1Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States, 2Biostatistics, Brown University, Providence, RI, United States, 3Radiology, University of Washington, Seattle, WA, United States, 4Radiology, University of Michigan Health System, Ann Arbor, MI, United States, 5Radiology, University of Minnesota, Minneapolis, MN, United States, 6University of Pennsylvania, Philadelphia, PA, United States

The multi-institutional ACRIN 6698 trial investigates quantitative diffusion weighted imaging (DWI) for assessment of breast cancer response to treatment. A secondary aim is to perform a test/retest study to evaluate reproducibility of ADC measures. In a subset of 91 subjects, DWI was acquired twice in the same exam, before and after patient repositioning. Tumor ADC was measured separately for each acquisition. 80% of cases were found analyzable by a standardized quality-control procedure. Reproducibility of ADC was excellent, with intraclass correlation coefficient of 0.97 (95%CI 0.95, 0.98) and agreement index of 0.83 (95%CI 0.76,0.87). Results were similar for subgroups by field strength or study visit.

950
17:51
Earlier detection of breast cancer by abbreviated MRI screening using color intensity projections (CIP) applied to high spatiotemporal resolution imaging
Keith S Cover1, Katya M Duvivier2, Pim de Graaf2, Ben J Slotman3, Joost PA Kuijer1, Mark BM Hofman1, and Rudolf M Verdaasdonk1

1Physics and Medical Technology, VU University Medical Center, Amsterdam, Netherlands, 2Radiology, VU University Medical Center, Amsterdam, Netherlands, 3Radiotherapy, VU University Medical Center, Amsterdam, Netherlands

Dynamic contrast enhancement (DCE) MRI is more sensitive than X-ray based mammography for detecting breast cancer especially for the 10% of women with extremely dense breasts. However, full diagnostic protocol (FDP) MR exams are too expensive for screening. Recent abbreviated MR protocols - which require only one quarter of the acquisition time - use high spatial temporal resolution (HSTR) sequences that generate thousands of images. We found color intensity projections (CIP) reduces radiologist reading time for detection of malignant tumours by visualizing their amount and time of enhancement (TOE) especially in combination with the value of the maximum slope (VMS).

951
18:03
Validation of contralateral parenchymal enhancement on DCE-MRI as a biomarker of survival in patients with ER-positive/HER2-negative breast cancer
Bas H.M. van der Velden1, Elizabeth J. Sutton2, Luca A. Carbonaro2,3, Ruud M. Pijnappel4, Elizabeth A. Morris2, and Kenneth G.A. Gilhuijs1

1Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands, 2Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 3Unità di Radiologia, IRCCS Policlinico San Donato, Milan, Italy, 4Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands

This study was performed to validate whether MR contrast-enhancement in stromal tissue of the disease-free breast is related to the survival of patients with cancer in the other breast. A recent study in 398 patients with estrogen-receptor positive and human-epidermal-growth-factor-2 negative invasive breast cancer showed that more pronounced contralateral parenchymal enhancement (CPE) was associated with improved patient survival. In this study, we extracted CPE to re-test the finding in a comparable patient population from an independent cancer center. In 287 patients, CPE reproduces as a biomarker for long-term survival. This reproducible imaging finding has potential towards the personalization of care. 


Oral

fMRI Connectivity

Room 316BC Wednesday 16:15 - 18:15 Moderators: James Pekar & Stephen Smith

952
16:15
Individual identification using brain functional fingerprint detected by recurrent neural network
Shiyang Chen1 and Xiaoping Hu2

1The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, United States, 2Department of Bioengineering, University of California, Riverside, Riverside, CA, United States

We introduce a deep learning approach to derive functional fingerprint of the brain that can identify individuals. By investigating the features extracted by our model, we noticed that they mostly resemble the existing resting state networks, and three networks (default mode, attention, and frontopariental control networks) contribute the most to individual discriminability.

953
16:27
Generalized Recurrent Neural Network accommodating Dynamic Causal Modelling for functional MRI analysis
Yuan Wang1, Yao Wang2, and Yvonne W Lui3

1Tandon School of Engineering, New York University, Brooklyn, NY, United States, 2Tandon School of Engineering, New York University, 3School of Medicine, New York University

We propose DCM-RNN, a new model for effective connectivity estimation from fMRI signal that links the strengths of traditional Dynamic Casual Modelling (DCM) and deep learning. It casts DCM as a generalized Recurrent Neural Network (RNN) and estimates the effective connectivity using backpropagation. It extends DCM with a more flexible framework, unique estimation methods, and neural network compatibility. In simulated experiments, we demonstrate that DCM-RNN is feasible and can be used to estimate the effective connectivity.

954
16:39
A simple data driven predictive dynamical model of whole brain resting state fMRI signal behavior
Eric Wong1

1Radiology/Psychiatry, UC San Diego, La Jolla, CA, United States

In this work we present a simple dynamical model that learns from resting state fMRI data to predict future brain states using information from one or more past brain states. We use a fully connected neural network model, and data from the Human Connectome Project. Our group model explains over 45% of the variance across 472 subjects, is very consistent when trained on subsets of the subjects, predicts realistic dynamics, gravitates towards the default mode when started in nearly any simulated brain state, and is complementary to correlation analysis.

955
16:51
Selection of node-based graph metrics to predict symptom severity in mild traumatic brain injury (mTBI) using recursive feature elimination
Bharath Ram Sundar1, Hariharan Ravishankar1, Suresh E Joel1, Luca Marinelli2, Teena Shetty3, Pratik Mukherjee4, Joseph Masdeu5, Rakesh Mullick1, and Radhika Madhavan1

1GE Global Research, Bangalore, Karnataka, India, Bangalore, India, 2GE Global Research, Niskayuna, NY, 3Hospital for Special Surgery, New York City, NY, 4University of California, San Francisco, CA, 5Houston Methodist, Houston, TX

Recursive feature elimination (RFE), a machine learning technique, is used to sub-select node-based graph theoretical features that correlate with symptom severity in mTBI. Resting state functional connectivity was represented as a binary graph by thresholding correlation values computed between time courses of functional ROIs. Node-based graph theoretical metrics were computed and fed to the feature elimination model to regress on mTBI symptom scores. Using RFE we identified top features correlated to symptom severity in mTBI, which include eigen centrality and closeness of nodes within the salience and default-mode networks. Top features were analyzed for repeatability over multiple runs and multiple thresholds.

956
17:03
Dynamic parcellation of cortical functional networks in developing preterm brains
Qinmu Peng1,2, Risheng Liu3, Minhui Ouyang1, Chenying Zhao4, Xin Fan3, Bo Hong4, and Hao Huang1,2

1Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, United States, 2Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 3School of Software, Dalian University of Technology, People's Republic of China, 4Biomedical Engineering, Tsinghua University, People's Republic of China

Connectivity is a major organizing principle of the central nervous system. However, little is known on how the cortical functional connectivity emerges in the network organization in the preterm brain. Here, we aimed to demonstrate emergence of primary functional regions using a parcellation method based on measurements from resting-state fMRI. Our results showed the clear emergence of primary sensorimotor and visual regions at 32, 36 and 40 postmenstrual weeks, while coherent parcellations of higher-order network regions are not apparent. The study demonstrated that dynamic parcellation based on resting-state fMRI can effectively delineate differentiated emergence of cortical networks during preterm development. 

957
17:15
Spontaneous Activity Patterns Reveal Non-Retinotopic Functional Parcellation and Organization of Human Visual Cortex
Kun-Han Lu1, Jun Young Jeong1, Haiguang Wen1, and Zhongming Liu1,2

1Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States, 2Biomedical Engineering, Purdue University, West Lafayette, IN, United States

We applied Independent Component Analysis (ICA) for mapping cortical visual areas and networks based on resting-state fMRI signals within the visual cortex. We found that spontaneous brain activity at rest exhibits reliable network patterns not only in the whole-brain scale but also in much finer scales. These networks show notable differences compared to the classical visual regions defined with retinotopic mapping or cytoarchitecture. In addition, these networks are anatomically segregated and functionally specialized into three modules: the dorsal pathway, the ventral pathway, and the early visual areas shared by these two pathways.

958
17:27
Hyper Network Analysis on Paired Images
Moo K Chung1, Victoria Vilalta-Gil2, Paul J Rathouz1, Benjamin B Lahey3, and David H Zald2

1Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI, United States, 2Department of Psychology, Vanderbilt University, Nashville, TN, United States, 3Department of health Studies and Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, United States

We present a new integrative framework for analyzing paired images using hyper-networks. The method is applied to twin fMRI study in characterizing the amount of heritability in the functional network.

959
17:39
Sparse Network Analysis of Individual Resting-State BOLD-fMRI
Michael Hütel1, Andrew Melbourne1, David Thomas1, Jonathan Rohrer1, and Sebastien Ourselin1

1UCL, London, United Kingdom

Functional Magnetic Resonance Imaging (fMRI) is a key neuroimaging technique in large cohort studies, allowing the analysis of healthy and pathological networks of spontaneous brain function. However, resting stage fMRI analysis is often limited by the requirement for image registration and the resulting spatial smoothing used to ensure spatial consistency between subjects. We propose an analysis strategy to overcome these limitations using a novel non-linear Sparse Autoencoder to produce functional network decompositions in each subject without the need for spatial smoothing nor registration. This technique applied at both the group and individual level retains the capability to obtain unique single subject functional network representations. We use this technique to reveal consistent individual-level network differences between a group of healthy controls and individuals diagnosed with young-onset dementia; most strikingly in areas representing a working-memory network.

960
17:51
A novel method for extracting hierarchical subnetworks based on a multi-subject spectral clustering approach
Xiaoyun Liang1, Chun-Hung Yeh1, Alan Connelly1, and Fernando Calamante1

1Florey Institute of Neuroscience and Mental Health, Melbourne, Australia

Brain-network has an intrinsic hierarchical structure, which, however, cannot be uncovered using the current methods exclusively for modularity analysis. A recent study has investigated hierarchical structure of brain-network using a hierarchical-clustering approach, which, nevertheless, has the following issues: (i) it relies on applying somewhat arbitrary thresholds to cross-coefficients (different thresholds likely yield distinct clustering outcomes); (ii) individual-level clustering results at early steps are likely to introduce biases at later stages, compromising the final clustering. We propose a method, Network Hierarchical Clustering (NetHiClus), based on a multi-subject spectral-clustering approach, which can robustly identify functional sub-networks at hierarchical-level, without thresholding the cross-coefficients.

961
18:03
Dynamic resting state fMRI in mice: detection of Quasi-Periodic Patterns
Michaël Belloy1, Maarten Naeyaert1, Georgios Keliris1, Anzar Abbas2, Shella Keilholz2, Annemie Van Der Linden1, and Marleen Verhoye1

1Bio-Imaging Lab, Antwerpen, Belgium, 2MIND lab, Atlanta, GA

We report, to our knowledge, the first application of a dynamic rsfMRI approach in mice and show the reliable detection of Quasi-Periodic Patterns (QPP) at both the group-level as well as in single-subject data. These patterns are consistent with QPPs detected previously in humans and rats, displaying a high intensity wave spreading across the cortex from lateral towards upward medial, followed by a low intensity wave in the same direction. These findings are promising for the application of QPPs towards investigating mouse resting state functional connectivity and its development as a potential new pre-clinical tool.


Oral

B0 Systems & Shimming

Room 320 Wednesday 16:15 - 18:15 Moderators: Vincent Boer & Johanna Vannesjo

962
16:15
Real-time B0 concomitant field compensation for a compact 3T MR scanner with asymmetric transverse gradients
Paul Weavers1, Shengzhen Tao1, Joshua D Trzasko1, Yunhong Shu1, John Huston III1, Louis M Frigo2, Erin M Gray1, Thomas K.F. Foo3, and Matt A Bernstein1

1Radiology, Mayo Clinic, Rochester, MN, United States, 2GE Healthcare, Waukesha, WI, United States, 3MRI, GE Global Research, Niskayuna, NY, United States

A prototype, high-performance gradient system capable of 80 mT/m and 700 T/m/s with asymmetric design has been installed.  Zeroth-order concomitant field terms endemic to MRI systems employing asymmetric gradient designs cause blurring and ghosting in spiral scans, as well as image quality degradation in fast-spin-echo imaging.  The theory is reviewed, and a real-time hardware compensation is demonstrated to correct for the effect. 

963
16:27
Combined imaging and shimming with the Dynamic Multi-Coil Technique
Umesh Suryanarayana Rudrapatna1, Fabian Fluerenbrock2, Terence W Nixon1, Robin A de Graaf1, and Christoph Juchem1

1Yale School of Medicine, New Haven, CT, United States, 2RWTH Aachen University, Aachen, Germany

Spatial encoding and shimming in MRI commonly use dedicated coils that generate spherical harmonic fields. Recently introduced dynamic multi-coil technique (DYNAMITE) demonstrates that MRI-relevant magnetic fields can also be created by a generic set of coils that produce non-linear and non-orthogonal fields, through successful implementation of dynamic shimming, linear and non-linear encoding. Here, purely DYNAMITE-based, concurrent spatial encoding and B$$$_{0}$$$ shimming is demonstrated. The successful synthesis of all encoding and shimming fields with DYNAMITE encourages the simplification of MR scanner architecture by substitution of multi-layer spherical harmonic coil systems with a single-layer multi-coil array.

964
16:39
Real-time shimming of the human spinal cord using a 24-channel shim array coil
Ryan Topfer1, Alexandru Foias1, Nikola Stikov1,2, and Julien Cohen-Adad1,3

1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 2Montreal Heart Institute, Université de Montréal, Montreal, QC, Canada, 3Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada

Pathologies of the spinal cord are a primary cause of functional disability and chronic pain. Although MRI already plays a role in the evaluation of these pathologies, it continues to be hampered by artifacts due to magnetic field inhomogeneity. This study reports the first results from applying a specially designed 24-channel shim array to compensate respiration-induced magnetic field inhomogeneity in the human spinal cord in real-time. This approach has the potential to improve the quality of EPI and spectroscopy in the spinal cord.  

965
16:51
Tracking head movement inside an MR scanner using voltages induced in coils by time-varying gradients
E. H. Bhuiyan1, G. S. Spencer1, P. M. Glover1, and R. Bowtell1

1Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom

We evaluate a new approach for monitoring head movement inside an MR scanner, which exploits the linear variation of the voltages induced in a set of coils by time-varying magnetic field gradients with respect to small changes in position/orientation. This approach was tested by attaching five coils to a structured agar phantom and a healthy volunteer’s head. The results suggest that it is possible to estimate the position and orientation with 0.22mm and 0.24° root-mean-square error using this set-up. The new approach could be used for prospective or retrospective motion correction.

966
17:03
Combined multi-band z-shimming using a novel auto-calibration routine
Michael Schwerter1, Seong Dae Yun1, and N. Jon Shah1,2

1Institute of Neuroscience and Medicine, Medical Imaging Physics (INM-4), Forschungszentrum Juelich, Juelich, Germany, 2Faculty of Medicine, Department of Neurology, JARA, RWTH Aachen University, Aachen, Germany

EPI images suffer from signal dropouts and z-shimming is an effective technique to recover parts of the lost signal. Its inherent drawbacks are a scan time prolongation and the necessity to estimate subject-specific z-shim gradient moments. We introduce multi-band imaging to z-shimming to eliminate the scan time prolongation and propose a novel method to estimate optimal z-shim gradient moments. The results show less signal dropout in the z-shimmed images and prove our z-shim gradient moment estimation to be robust and efficient. Due to a reduced anatomical contrast, our multi-band z-shim approach might be most beneficial for BOLD-contrast based fMRI.

967
17:15
An integrated 32ch RF-shim array coil for improved B0 shimming of the brain at 7 Tesla
Jason Stockmann1,2, Thomas Witzel1,2, Nicolas Arango3, Azma Mareyam1, Charlotte Sappo1, Jiazheng Zhou4, Joshua Park1, Boris Keil1, Lucas Jenkins1, Markus May5, Jonathan R Polimeni1,6, Jacob White7, and Lawrence L Wald1,6

1A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 4Institute of Biomedical Engineering, National Taiwan University, Taiwan, 5Electronic and Mechatronic Systems, Technische Hochschule Nürnberg, Nürnberg, Germany, 6Harvard Medical School, Boston, United States, 7Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States

Dual-purpose arrays of close-fitting coils, used to both receive RF and shim B0 to high spatial order, have recently been demonstrated in brain imaging at 3T. We extend this approach to 7T with an array comprised of: six RF coils, twenty-six RF/B0-shim coils, and six shim-only coils.  The shim coils are driven by an array of low-cost current-feedback amplifiers that can steer up to fifty amps of shimming currents rapidly and accurately enough to allow for slice-by-slice adjustments. The resulting slice-optimal high-order shim capability (wires and chokes) improves σB0 in brain slices by up to 60% (as compared to static 2nd-order global shimming), while worsening SNR by less than 10%, and increasing coil coupling by less than 3%.

968
17:27
Monolithic Transmit Line Resonator as a Combined B1/B0-shim Coil Element
Riccardo Stara1, Mihir Pendse2, Jason Stockmann3, and Brian K. Rutt1

1The Richard M. Lucas Center for Imaging, Radiology Department, Stanford University, Stanford, CA, United States, 2The Richard M. Lucas Center for Imaging, Electrical Engineering Department, Stanford University, Stanford, CA, United States, 3A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States

In this work we propose and evaluate, for the first time, the use of a single-turn-single-gap Transmit Line Resonator as a combined RF-transceive and B0-shim element. We compare this design to a standard loop in terms of both RF and B0-shimming performance. The benefits of our combined TLR/B0-shim design are improved RF performance due to the fixed and smaller number of lumped elements, and the increase in B0-shim efficiency. Our results show the TLR element design to be an ideal building block for high-channel-count integrated Parallel Reception, Excitation and Shimming (iPRES) arrays.

969
17:39
The Design and Implementation of a 64 Channel Arbitrary Gradient Waveform Controller
Terence W Nixon1, Scott McIntyre1, and Robin A de Graaf1

1MRRC Yale University, New Haven, CT, United States

Generating additional magnetic fields independently from the MR scanner’s hardware requires additional controllers, current amplifiers and DC coils. Here we present the design and implementation of a 64 channel arbitrary gradient waveform controller that can be used to drive current amplifiers with analog inputs. We describe the controller’s architecture and how sequences are developed. We will also discuss the important criteria needed to synchronize the waveforms with the MR scanner. Finally, we will show the completed controller and the first MR result.

970
17:51
Dynamic permanent magnet array for ultra-low field magnetic resonance imaging
Michael W. Vogel1, Viktor Vegh1, Ruben Pellicer Guridi1, and David C. Reutens1

1University of Queensland, St Lucia, Australia

Conventional MRI scanners rely on superconducting magnets making them heavy and expensive and putting MRI beyond the reach of much of the world’s population. Ultra-low field (ULF) MRI instruments offer the possibility of novel image contrast mechanisms, are less costly and are potentially portable, enabling use in unconventional situations. This project addresses ULF-MRI’s biggest challenge, low signal-to-noise ratio, by using the novel approach of dynamic, mechanically-operated small permanent magnet arrays to generate the magnetic fields required for prepolarisation and spatial encoding.

971
18:03
Multi-slice metabolite mapping with Very-High Degree Dynamic B0 Shim Updating at 9.4T using Accelerated 1H FID MRSI
Sahar Nassirpour1,2, Paul Chang1,2, and Anke Henning1,3

1MPI for Biological Cybernetics, Tuebingen, Germany, 2IMPRS for Cognitive and Systems Neuroscience, Eberhard Karls University of Tübingen, Tuebingen, Germany, 3Institute of Physics, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany

In this work, we address the problem of B0 inhomogeneity in the human brain at 9.4T by using dynamic very high order B0 shimming. This enables multi-slice metabolite mapping in the human brain at this field strength. Furthermore, we investigate the advantage of low (2nd) versus very high (4th+) degree dynamic B0 shimming directly with respect to the quality of the metabolite maps.


Combined Educational & Scientific Session

Evaluation of Tissue Properties in Cancer: Heterogeneity and Structure

Room 315 Wednesday 16:15 - 18:15 Moderators: Arvind Pathak & Christopher Quarles

16:15
MR Elastography in Cancer
Ralph Sinkus1

1Imaging Sciences & Biomedical Engineering Division, King's College London


972
16:45
Characterization of Renal Tumors: Integrating Biomechanical, Functional and Morphological Assessment Using 3 Tesla Magnetic Resonance Elastography
Davide Prezzi1, Radhouene Neji2,3, James J Stirling3, Sami Jeljeli3, Hema Verma4, Tim O'Brien5, Benjamin Challacombe5, Archana Fernando5, Ashish Chandra6, Vicky Goh1, and Ralph Sinkus7

1Cancer Imaging, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare, Frimley, United Kingdom, 3King's College London, London, United Kingdom, 4Radiology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom, 5Urology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom, 6Pathology, Guy's and St Thomas' NHS Foundation Trust, London, United Kingdom, 7Biomedical Engineering, King's College London, London, United Kingdom

Incidentally detected renal tumors are overtreated surgically: up to 20% of them are benign, most frequently oncocytomas. We hypothesize that integrating biomechanical assessment with functional/morphological MRI can improve lesion characterization, precluding unnecessary surgery. Initial experience in 5 resected renal oncocytomas and 13 renal cell carcinomas (RCC) demonstrates that MR Elastography (MRE) at 30Hz with shear modulus parametric mapping is feasible and adds value within a multiparametric MRI assessment: oncocytoma displays higher median shear attenuation (α) and lower shear velocity (C) than RCC. MRE parameters appear to be stronger classifiers than quantitative DCE MRI parameters (Ktrans, kep), ADC and T2 signal intensity.

973
16:57
Using non-linear tissue biomechanics to infer static forces within tissue: towards quantifying IFP
Daniel Fovargue1, Jack Lee1, Adela Capilnasiu1, Marco Fiorito1, David Nordsletten1, and Ralph Sinkus1

1Division of Imaging Sciences and Biomedical Engineering, King’s College London, London, United Kingdom

Quantifying static forces in the context of oncology, such as interstitial fluid pressure, would represent a valuable biomarker in therapy monitoring. Nonlinear tissue mechanics leads to distinct signatures of apparent anisotropic changes in mechanical shear properties in the vicinity of an object that exerts pressure onto its surroundings. Tissue nonlinearity can be modelled for instance via hyper elasticity. We show that the apparent modulation in tissue stiffness can be accounted for when incorporating the nonlinear anisotropic model into the estimation of the biomechanics via MR-Elastography. Knowledge of the deformation tensor enables direct quantification of underlying static forces, hence pressure.

974
17:09
Monitoring Glioblastoma Progression in Mouse Brain with Magnetic Resonance Elastography
Navid Nazari1, Michal Nowicki2, Katharina Shregel2,3, Sean Lawler2,4, Ralph Sinkus5, Paul Barbone1, and Samuel Patz2,4

1Boston University, Boston, MA, United States, 2Brigham and Women's Hospital, Boston, MA, United States, 3University Medicine Goettingen, Goettingen, Germany, 4Harvard Medical School, Boston, MA, United States, 5King's College, London, United Kingdom

The longitudinal progression of glioblastoma was monitored in a cohort of mice with MRE and conventional RARE MRI. Increasing tumor size was easily seen with both modalities. In most cases, MRE maps showed a tumor margin that was sharper than RARE. Results were registered with histology, and variation of the shear modulus was compared with histology features. Both MRE and RARE demonstrated tumor regions with varying levels of heterogeneity, and in one animal, both homogeneous and heterogeneous parts were found to be growing separately as sub-populations of the same glioblastoma cell line within the brain.

17:21
Addressing Tumor Heterogeneity by Multi-Parametric MRI
Richard Carano1

1Biomedical Imaging, Genentech, CA, United States

The presentation will focus on addressing tumor heterogeneity by a multi-parametric MRI approach.

975
17:51
Quantitative characterization of brain tumor heterogeneity using diffusion basis spectrum imaging with extended isotropic spectrum (DBSI_EIS)
Qing Wang1, Gloria Guzman2, Yong Wang1, Maria R. Ponisio1, Yi Su1, Pamela LaMontagne1, Sheng-Kwei Song1, Keith M. Rich1, Sonika Dahiya1, Jon McConathy3, and Tammie Benzinger1

1Washington University in St. Louis, St. Louis, MO, United States, 2University of Arizona, AZ, United States, 3The university of Alabama at Birmingham, Birmingham, AL, United States

Tumors are typically heterogeneous, and may contain different grades of tumor cells, different types of tumor cells, edema and/or abnormal vascular structures. A noninvasive, non-radioactive technique to provide multiple parametric and quantitative images for better profiling the heterogeneity of tumors is highly needed. We demonstrated that diffusion basis spectrum imaging with extended isotropic spectrum (DBSI-EIS) is capable to identify structural heterogeneity in brain tumor lesions, including various grades of tumor cells and perfusion, which make it a new and unique technique to clinically evaluate tumors for comprehensive diagnosis and accurate treatment evaluation.

976
18:03
Automated identification of hypoxia-related regional variations in tumour microenvironment using dynamic contrast-enhanced MRI and oxygen-enhanced MRI
Adam K Featherstone1,2, James P B O'Connor2,3,4, Ross A Little1, Yvonne Watson1, Sue Cheung1, Muhammad Babur5, Victoria Tessyman2,5, Roben Gieling2,5, Kaye J Williams2,5, Julian C Matthews1,2, and Geoff J M Parker1,2,6

1Division of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, United Kingdom, 2CRUK & EPSRC Cancer Imaging Centre in Cambridge and Manchester, Cambridge and Manchester, United Kingdom, 3Division of Molecular and Clinical Cancer Studies, The University of Manchester, Manchester, United Kingdom, 4Department of Radiology, The Christie NHS Foundation Trust, Manchester, United Kingdom, 5Division of Pharmacy & Optometry, The University of Manchester, Manchester, United Kingdom, 6Bioxydyn Ltd., Manchester, United Kingdom

Hypoxia is an important prognostic indicator in most solid tumours. We present here automated, data-driven methods, using principal component analysis (PCA) and Gaussian mixture modelling (GMM), that consistently locate functionally distinct sub-regions in preclinical tumours, some of which are postulated to be relevant to hypoxia. Methods are based on dynamic contrast-enhanced (DCE)-MRI (reflecting perfusion) and oxygen-enhanced (OE)-MRI (reflecting oxygen delivery). We demonstrate the utility and stability of our methods through a combination of evaluation metrics, which may be incorporated in similar studies elsewhere.


Other

Hands-On Workshop: GE Healthcare 2

Room 322AB Wednesday 16:15 - 18:15 (no CME credit)


Other

Hands-On Workshop: Philips Healthcare 2

Room 324 Wednesday 16:15 - 18:15 (no CME credit)


Other

ISMRM Business Meeting

Room 314 Wednesday 18:30 - 19:30 (no CME credit)


Other

Women's Forum

Room 310 Wednesday 19:30 - 21:30 (no CME credit)



Thursday, 27 April 2017

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Sunrise Session

Cardiovascular MR: "More is Better": More Modalities

Organizers: Sonia Nielles-Vallespin, Ph.D., Daniel K. Sodickson, M.D., Ph.D., & Bernd J. Wintersperger, M.D.

Room 310 Thursday 7:00 - 7:50 Moderators: Claudia Calcagno & Rohan Dharmakumar

7:00
MR-PET
Georges El Fakhri

7:25
X-MR
Dara Kraitchman

7:50
Adjournment & Meet the Teachers


Sunrise Session

Quantitative Susceptibility Mapping

Organizers: Herbert Köstler, Dipl.-Phys. & N. Jon Shah, Ph.D.

Room 311 Thursday 7:00 - 7:50 Moderators: Ute Goerke & Jürgen Reichenbach


Sunrise Session

MR Imaging of Small Joints: Arthritis & Diabetic Arthropathy

Organizers: Jenny T. Bencardino, M.D., Eric Y. Chang, M.D., Christine Chung, M.D. & Philip Robinson, M.D.

Room 312 Thursday 7:00 - 7:50 Moderators: Kimberly Amrami & John Crues

7:00
Inflammatory Arthritis
Leon Lenchik

7:25
Diabetic Arthropathy
Parmanand Naidoo

7:50
Adjournment & Meet the Teachers


Sunrise Session

Magnetic Resonance Elastography: Abdominal & Cardiac

Organizers: Guoying Liu, Ph.D. & Joshua D. Trzasko, Ph.D.

Room 313A Thursday 7:00 - 7:50 Moderators: Curtis Johnson & Joshua Trzasko

7:00
Abdominal
Jin Wang

7:25
Cardiac
Arunark Kolipaka

7:50
Adjournment & Meet the Teachers


Sunrise Session

Individualized Brain MRI: Metabolic Imaging

Organizers: Christopher P. Hess, M.D., Ph.D.

Room 313BC Thursday 7:00 - 7:50 Moderators: Yan Li & Eva-Maria Ratai

7:00
MR/PET – Clinical Applications
Timothy Shepherd

7:25
MR Spectroscopy - New Metabolites
Dorothee Auer

7:50
Adjournment & Meet the Teachers


Sunrise Session

Imaging Tumor Response to Therapy

Organizers: Linda Moy, M.D. & Valeria Panebianco, M.D.

Room 314 Thursday 7:00 - 7:50 Moderators: Linda Moy & Valeria Panebianco


Sunrise Session

Local vs. Global Tractography

Organizers: Daniel C. Alexander, Ph.D. & Jennifer A. McNab, Ph.D.

Room 315 Thursday 7:00 - 7:50 Moderators: Fulvia Palesi & Jacques-Donald Tournier

7:00
Local Tractography
Lauren O'Donnell

7:12
Global Tractography
Marco Reisert

7:24
Integration of Local & Global Tractography
Robert Smith

7:36
Panel Discussion

7:50
Adjournment & Meet the Teachers


Sunrise Session

The Consequence of Inter-Compartmental Water Exchange in the DCE-MRI Time-Course

Organizers: Linda Knutsson, Ph.D. & Steven P. Sourbron, Ph.D.

Room 316A Thursday 7:00 - 7:50 Moderators: Joseph Ackerman & Kathleen Schmainda

7:00
DCE-MRI is Enriched by Water Exchange
Charles Springer, Jr.

7:15
Data Acquired Using DCE-MRI are Unsuitable for Measuring Water Exchange
David Buckley

7:30
Debate

7:50
Adjournment & Meet the Teachers


Sunrise Session

Cases with the Aces: Female Pelvis

Organizers: Kathryn Fowler, M.D., Kartik Jhaveri, M.D., F.R.C.P.C., Lorenzo Mannelli, M.D., Ph.D. & Edwin J.R. van Beek, M.D., Ph.D., M.Ed., FRCR

Room 320 Thursday 7:00 - 7:50 Moderators: Gabriele Masselli & Iva Petkovska

7:00
Benign Diseases of the Uterus & Ovaries
Akiko Takahata

7:25
Malignant Diseases of the Uterus & Ovaries
Seung Hyup Kim

7:50
Adjournment & Meet the Teachers


Traditional Poster: Cardiovascular

Exhibition Hall 2719-2767 Thursday 8:15 - 10:15 (no CME credit)

Electronic Poster: fMRI

Exhibition Hall Thursday 8:15 - 9:15 (no CME credit)

Study Groups

Interventional MR Study Group

Room 323ABC Thursday 8:15 - 10:15 (no CME credit)


Study Groups

X-Nuclei Imaging Study Group

Room 317AB Thursday 8:15 - 10:15 (no CME credit)


Educational Course

Clinical & Technical Perspectives on Trends in MR

Organizers: Sebastian Kozerke, Ph.D. & James G. Pipe, Ph.D.

Room 315 Thursday 8:15 - 10:15 Moderators: Sebastian Kozerke & James Pipe

8:15
The Ideal MR Scanner - a Clinician's Perspective
Daniel Sodickson


8:35
The Ideal MR Scanner - an Engineer's Perspective
Cecilia Possanzini1

1MRI Systems, Philips Healthcare

In considering what an ideal MRI system might be, it is helpful to evaluate the user needs. No system is ideal for everything and most MRI system designs represent a balance of both requirements and constraints. This paper analyses the opportunities and the limitations offered by some selected recent technical trends in MRI systems and examines a strategy to reach the definition of what might be an optimal MRI system design.

8:55
Future of MR Systems & Applications - Ultra High Field
Franz Schmitt1

1Former Siemens Healthcare now Lakeside Imaging/e

Ultra-High Field MRI has developed from a plain research instrument for mastering the required technology to a clinically recognised MR imaging field strength. Besides stronger magnets, the entire RF transmit and receive chain needed to be updated to the higher MR frequencies. The mitigation of the transmit B1+ inhomogeneity by means of parallel transmission is now fully understood and utilized in almost every UHF site in some sort or another. Beside the significantly higher resolution achieved with UHF, unique contrast and imaging possibilities opened up: better susceptibility weighting, quantitative susceptibility mapping, CEST imaging and sodium imaging, aiming for better diagnosis in neuro degenerative diseases, tumour imaging, musculoskeletal imaging and much more. All these aspects of UHF imaging will be considered in this educational talk.

9:15
Future MR Magnets - Beyond NbTi
Mark D Bird1

1National High Magnetic FIeld Lab, Florida State University, Tallahassee, FL, United States

An overview of the challenges associated with development of higher field human MRI magnets is presented.

9:35
All at Once - Finger- & Footprints
Mariya Doneva1

1Philips Research, Hamburg, Germany

In recent years, the field of quantitative MRI has been expanded by the introduction of MR Fingerprinting as well as several quantitative MRI  methods applying extensive signal  modeling. This lecture will give an overview of these recently introduced methods.

9:55
Beyond Images - The Future of MR Diagnostics
Tim Leiner1

1Utrecht University Medical Center, Utrecht, Netherlands


10:15
Adjournment & Meet the Teachers


Educational Course

MR Physics & Techniques for Clinicians

Organizers: Marcus T. Alley, Ph.D. & Bernd Jung, Ph.D.

Room 316BC Thursday 8:15 - 10:15 Moderators: Nicole Seiberlich & Matthias Weigel

8:15
Artifacts to Artefacts: Causes & Cures from Clinical Perspective
Vikas Gulani1

1Radiology, Case Western Reserve University, Cleveland, United States


8:55
Contrast Agents
Val M. Runge1

1Universitätsinstitut für Diagnostische Radiologie, Inselspital, Bern, Switzerland

“The gadolinium chelates (the GBCAs) are critical to disease diagnosis by MR, indeed to clinical medicine worldwide, and have proven to be overall a very safe class of contrast media.” This review focuses on the current knowledge regarding accumulation of gadolinium in the brain (dentate nucleus and other structures) and body, with clinical recommendations based on that and other safety data, including the recent European Agency recommendation.

9:35
High Field Imaging
Sebastian Schmitter1

1Department of Biomedical Magnetic Resonance, Physikalisch-Technische Bundesanstalt, Berlin, Germany

The MRI main field strenth has been constantly increased over the past decades. Today, scanners with 3T, 7T and even beyond are in use, however ultra-high field (≥7T) systems are mostly used in research centers although the transition into hospitals is expected. The reasons for using (ultra-)high fields are multifold and will be outlined in this presentation. Along with these benefits go a larger range of challenges, which are among the reasons for the rather slow transition of UHF into clinical applications. Solutions to most of these challenges will be presented and applications will be highlighted.

10:15
Adjournment & Meet the Teachers


Power Pitch

Pitch: Breakthrough Methods & Applications in Cancer Imaging

Power Pitch Theater A - Exhibition Hall Thursday 8:15 - 9:15 Moderators: Catalina Arteaga de Castro & Joel Garbow (no CME credit)

977
8:15
High resolution imaging of the optic chiasm at 7T MRI improves lesion detection and tumour delineation compared to 3T
Guido van Haren1, Lorna Grech-Fonk2,3, Marco Verstegen4, Wouter Teeuwisse2, Teresa Ferreira1, Irene Notting3, Wouter van Furth4, Alberto Pereira5, Gregorius Luyten3, Andrew Webb2, and Jan-Willem Beenakker2,3

1Radiology, LUMC, Leiden, Netherlands, 2Radiology, CJ Gorter center for high field MRI, LUMC, Leiden, Netherlands, 3Ophthalmology, LUMC, Leiden, Netherlands, 4Neurosurgery, LUMC, Leiden, Netherlands, 5Endocrinology, LUMC, Leiden, Netherlands

978
8:15
Accelerated 3D bSSFP Imaging for Treatment Planning on an MRI-Guided Radiotherapy System
Yu Gao1,2, Ziwu Zhou1, Fei Han1, Percy Lee2,3, Daniel Low2,3, Peng Hu1,2, and Yingli Yang2,3

1Radiology, University of California, Los Angeles, Los Angeles, CA, United States, 2Physics and Biology in Medicine IDP, University of California, Los Angeles, Los Angeles, CA, United States, 3Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, United States

979
8:15
Feasibility of magnetic resonance colonography for an immune check-point inhibitor in orthotopic colorectal rechallenge tumor models
Jinil Kim1, Yoon Seok Choi2, Dong-Cheol Woo1, Chul-Woong Woo1, Sang Tae Kim1, Jae Im Kwon1, and Kyung Won Kim3

1Asan Institute for Life Sciences, ASAN Medical Center, Seoul, Korea, Republic of, 2Medical research institute, Gangneung Asan Hospital, Gangneung, Korea, Republic of, 3Department of Radiology, ASAN Medical Center, Seoul, Korea, Republic of

980
8:15
Multi-modal and multi-scale measurement of metabolism in vivo in a breast cancer model
Benjamin L Cox1,2,3, Joseph M Szulczewski3,4, David R Inman4, Erin B Adamson1, Kai D Ludwig1, Justin J Jeffery5, Stephen A Graves1, Alison B Roth1, David B Mummy1,6, Patricia J Keely4, Kevin W Eliceiri1,2,3,5,6, and Sean B Fain1,7

1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Medical Engineering, Morgridge Institute for Research, Madison, WI, United States, 3Laboratory for Optical and Computational Instrumentation (LOCI), University of Wisconsin - Madison, Madison, WI, United States, 4Cell and Regenerative Biology, University of Wisconsin - Madison, Madison, WI, United States, 5UW Carbone Cancer Center, Madison, WI, United States, 6Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, United States, 7Radiology, University of Wisconsin - Madison, Madison, WI, United States

981
8:15
Dynamic Glucose Enhanced MRI - A prospective study in healthy volunteers and glioblastoma patients
Daniel Paech1, Patrick Schuenke2, Christina Koehler1, Johannes Windschuh2, Sibu Mundiyanapurath3, Sebastian Bickelhaupt1, Philipp Bäumer1, David Bonekamp1, Martin Bendszus4, Wolfgang Wick3, Peter Bachert2, Mark E. Ladd2, Heinz-Peter Schlemmer1, Moritz Zaiss5, and Alexander Radbruch1

1Radiology, German Cancer Research Center, Heidelberg, Germany, 2Medical Physics in Radiology, German Cancer Research Center, Heidelberg, Germany, 3Neurology, University Hospital Heidelberg, Heidelberg, 4Neuroradiology, University Hospital Heidelberg, Heidelberg, 5Max-Planck-Institut Tübingen, Tübingen, Germany

982
8:15
3D printed Breast DCE-MRI phantom to mimic structure and pharmacokinetics
Nithin N Vajuvalli1, Chethan Kumar M1, Amaresha Shridhar Konar1,2, Shivaprasad Ashok Chikop1, Darshan Shivaramu Keelara1, Ashwini Kumnoor1, Ramesh Venkatesan2, and Sairam Geethanath1

1Medical Imaging Research Centre, Dayananda Sagar Institution, Bangalore, India, 2Wipro GE healthcare, Bangalore, India

983
8:15
Recurrent Neural Network on DCE-MRI in Prostate Cancer
Xia Li1, Vivek Vaidya2, Sandeep Gupta1, Rakesh Mullick2, Oguz Akin3, and Dattesh Shanbhag2

1GE Global Research Center, Niskayuna, NY, United States, 2GE Global Research Center, Bengaluru, India, 3Memorial Sloan-Kettering Cancer Center, NY, United States

984
8:15
In vivo assessment of tumour invasion of the visual pathway in optic pathway glioma patients using multi-shell diffusion tensor MRI
Patrick W Hales1, Victoria Smith2, Patricia O'Hare3, Kshitij Mankad4, Felice d'Arco4, Jessica Cooper4, Ramneek Kaur1, Kim Phipps3, Darren Hargrave3, and Christopher A Clark1

1Developmental Imaging & Biophysics Section, University College London, London, United Kingdom, 2Ophthalmology Department, Great Ormond Street Children’s Hospital, London, United Kingdom, 3Haematology and Oncology Department, Great Ormond Street Children’s Hospital, London, United Kingdom, 4Radiology Department, Great Ormond Street Children’s Hospital, London, United Kingdom

985
8:15
Pipeline for longitudinal assessment of patient-derived mouse xenografts using 3D magnetization transfer-weighted MRI
Kimberly L. Desmond1, David Bakhshinyan2, Maleeha Qazi2, Parvez Vora2, Chirayu Chokshi2, Sheila K. Singh2, and Nicholas A. Bock1

1Psychology, Neuroscience and Behaviour, McMaster University, Hamilton, ON, Canada, 2McMaster Stem Cell and Cancer Research Institute, McMaster University, Hamilton, ON, Canada

986
8:15
Tumor Interstitial Fluid Pressure and Hydraulic Conductivity Estimates by DCE-MRI in a Rat Model of Cerebral Tumor
Rasha Elmghirbi1,2, Nagaraja N. Tavarekere3, Stephen L. Brown4, Swayamprava Panda1, Kelly A. Keenan3, Glauber Cabral1, Hassan Bagher-Ebadian2,4, and James R. Ewing1,2

1Neurology, Henry Ford Hospital, Detroit, MI, United States, 2Physics, Oakland University, Rochester Hills, MI, United States, 3Neurosurgery, Henry Ford Hospital, Detroit, MI, United States, 4Radiation Oncology, Henry Ford Hospital, Detroit, MI, United States

987
8:15
A preclinical MRI study investigating the impact of the local microenvironment on the progression of diffuse intrinsic pontine glioma in patient-derived xenografts
Mariama Fofana1, Jessica KR Boult1, Maria Vinci1, Valeria Molinari1, Kathryn Taylor1, Sergey Popov1, Alan Mackay1, Chris Jones1, and Simon P Robinson1

1The Institute of Cancer Research, London, United Kingdom

988
8:15
Multi-parametric MRI Radiomics for Pre-treatment Prediction of the Progression-Free Survival in Advanced Nasopharyngeal Carcinoma
Bin Zhang1

1Guangdong General hospital, Guangzhou, People's Republic of China

989
8:15
MR Elastography and Perfusion MRI for the Early Assessment of Treatment Response in Soft Tissue Sarcomas
Kay Pepin1, Roger Grimm2, Soudabeh Kargar3, Sarah James1, Matthew Howe2, Karen Fritchie4, Matthew Frick2, Doris Wenger2, Richard Ehman2, Nadia Laack1, Michael Herman1, and Deanna Pafundi1

1Radiation Oncology, Mayo Clinic, Rochester, MN, United States, 2Radiology, Mayo Clinic, Rochester, MN, United States, 3Mayo Graduate School, Mayo Clinic, Rochester, MN, United States, 4Pathology, Mayo Clinic, Rochester, MN, United States

990
8:15
Quantitative Imaging for Radiotherapy on an MR-Linac Scanner
Folkert Koetsveld1, Leon C. ter Beek2, Petra J. van Houdt1, Laurens D. van Buuren1, and Uulke A. van der Heide1

1Radiotherapy, Netherlands Cancer Institute, Amsterdam, Netherlands, 2Radiology, Netherlands Cancer Institute, Amsterdam, Netherlands

991
8:15
Support vector machine for breast cancer classification using DWI histogram features: preliminary study
Igor Vidić1, Liv Egnell1, Jose R. Teruel2, Torill E. Sjøbakk3, Neil P. Jerome3, Agnes Østlie4, Hans E. Fjøsne5,6, Tone F. Bathen3, and Pål Erik Goa1

1Department of Physics, Norwegian University of Science and Technology (NTNU), Trondheim, Norway, 2Department of Radiology, University of California, La Jolla, CA, United States, 3Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway, 4Clinic of Radiology and Nuclear Medicine, St. Olavs University Hospital, Trondheim, Norway, 5Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway, 6Department of Surgery, St. Olavs University Hospital, Trondheim, Norway


Power Pitch

Pitch: Contrast Mechanisms: New Horizons

Power Pitch Theater B - Exhibition Hall Thursday 8:15 - 9:15 Moderators: Richard Dortch & Jongho Lee (no CME credit)

992
8:15
On the decay of SSFP configurations
Damien Nguyen1,2, Rahel Heule1,2, Carl Ganter3, and Oliver Bieri1,2

1Radiological Physics, University of Basel Hospital, Basel, Switzerland, 2Department of Biomedical Engineering, University of Basel, Basel, Switzerland, 3Department of Diagnostic Radiology, Klinikum rechts der Isar, Technical University Munich, Munich, Germany

993
8:15
Asymmetries of the balanced SSFP profile allow to probe microstructure anisotropy at 9.4 Tesla
Philipp Ehses1,2, Mario Gilberto Báez-Yánez2,3, Michael Erb1, and Klaus Scheffler1,2

1Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany, 2Dept. of High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 3Graduate Training Centre of Neuroscience, University of Tübingen, Tübingen, Germany

994
8:15
Quantitative modeling of exchange in bSSFPX
Shu Zhang1, Robert E Lenkinski1,2, and Elena Vinogradov1,2

1Department of Radiology, UT Southwestern Medical Center, Dallas, TX, United States, 2Advanced Imaging Research Center, UT Southwestern Medical Center, Dallas, TX, United States

995
8:15
Spin-lock imaging of exogenous exchange-based contrast agents to assess tissue pH
Zhongliang Zu1, Hua Li1, Xiaoyu Jiang1, and John C Gore1

1Vanderbilt University, Nashville, TN, United States

996
8:15
Quantification of trans-endothelial water exchange and vessel geometry using contrast-enhanced MRI and alterations in a transgenic rat model of Alzheimer’s disease
Ben Dickie1, Hervé Boutin1,2, Jose Ulloa3,4, Laura M Parkes1, and Geoff JM Parker3

1Division of Neuroscience and Experimental Psychology, University of Manchester, Manchester, United Kingdom, 2The Wolfson Molecular Imaging Centre, University of Manchester, Manchester, United Kingdom, 3Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester, United Kingdom, 4Bioxydyn, Manchester

997
8:15
CEST-weighted MRI at 21.1 T: application to glioma and ischemic rat model
Tangi Roussel1,2, Jens T. Rosenberg3, Samuel C. Grant 3,4, and Lucio Frydman2

1NeuroSpin, Commisariat à l'Energie Atomique et aux Energies Alternatives, Gif-sur-Yvette, France, 2Department of Chemical Physics, Weizmann Institute of Science, Rehovot, Israel, 3National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL, United States, 4Department of Chemical & Biomedical Engineering, The Florida State University, Tallahassee, FL, United States

998
8:15
Offset-Saturation-Induced (osi-) Variations in Multiexponential T2 at 16.4T: A New Dimension for Probing White Matter Contrast
Teresa Serradas Duarte1 and Noam Shemesh1

1Champalimaud Neuroscience Programme, Champalimaud Centre for the Unknown, Lisbon, Portugal

999
8:15
Magneto-Caloric Materials as Tunable and Switchable Labels for MRI
Mladen Barbic1, Tim D Harris1, Stephen Dodd2, H Douglas Morris3, Alan P Koretsky2, Barbara Marcheschi4, Alan Huston4, and Neil R Dilley5

1Applied Physics and Instrumentation Group, HHMI-Janelia Research Campus, Ashburn, VA, United States, 2Laboratory of Functional and Molecular Imaging, NIH/NINDS, Bethesda, MD, United States, 3NIH Mouse Imaging Facility, NIH/NINDS, Bethesda, MD, United States, 4Code 5611, Optical Sciences Division, Naval Research Laboratory, Washington, DC, United States, 5Quantum Design, Inc., San Diego, CA, United States

1000
8:15
The T1-Dispersion Curve as a Biomarker of Colorectal Cancer
Vasileios Zampetoulas1, Lionel M. Broche1, Graeme I. Murray2, and David J. Lurie1

1Aberdeen Biomedical Imaging Centre, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, AB25 2ZD, Scotland, United Kingdom, 2Department of Pathology, University of Aberdeen, AB25 2ZD, Scotland, United Kingdom

1001
8:15
Detecting regional changes in brain tissue quantitative T1 values due to hydration status
Sofia Chavez1,2

1Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada, 2Psychiatry, University of Toronto, Toronto, ON, Canada

1002
8:15
In vivo whole-blood $$$T_2$$$ versus $$$HbO_2$$$ calibration by modulating blood oxygenation level in the femoral vein through intermittent cuff occlusion
Michael C Langham1, Ana E Rodríguez-Soto1, Nadav Schwartz2, and Felix W Wehrli1

1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Obstetrics and Gynecology, University of Pennsylvania, Philadelphia, PA, United States

1003
8:15
Visualizing local mechanical properties of agar phantoms and meningioma patients using magnetic resonance rheology
Sebastian Theilenberg1, Jakob Bindl1, Anna-Lisa Kofahl1, Carsten Urbach1, and Karl Maier1

1Helmholtz-Institut für Strahlen- und Kernphysik, University of Bonn, Bonn, Germany

1004
8:15
Early Cancer Detection Using Paramagnetic Liposome by a Novel Contrast Mechanism with Active-feedback Magnetic Resonance Imaging
Sayoni Ray1, Chao-Hsiung Hsu2, Zhao Li1, Fang-Chu Lin1, Ying-Chih Lin2, and Yung-Ya Lin1

1DEPARTMENT OF CHEMISTRY AND BIOCHEMISTRY, University Of California, Los Angeles, Los Angeles, CA, United States, 2Department of Chemistry, National Taiwan University, Taiwan

1005
8:15
Analysis of magnetohydrodynamic effects in current injection induced magnetic flux density images at very high magnetic fields
Atul S Minhas1, Munish Chauhan2, and Rosalind J Sadleir2

1Centre for Pre-clinical Imaging, Department of Cellular and Molecular Physiology, University of Liverpool, Liverpool, United Kingdom, 2School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, United States

1006
8:15
Quadrupolar jump-and-return sequence for sodium knee MRI at 7 tesla
Jae Seung Lee1, Ding Xia1, and Ravinder Regatte1

1Radiology, New York University, New York, NY, United States


Oral

Prostate Cancer

Room 310 Thursday 8:15 - 10:15 Moderators: Daniel Margolis

1007
8:15
PI-RADS Version 2: Preoperative Role in the Detection of Normal-sized Pelvic Lymph Node Metastasis in Prostate Cancer
Young Taik Oh1, Sung Yoon Park1, and Dae Chul Jung1

1Radiology, Yonsei University College of Medicine, Seoul, Korea, Republic of

Although the identification of pelvic lymph node metastasis (PLNM) is important in prostate cancer, sometimes PLNM are often not so enlarged on imaging. Therefore, we were trying to identify normal sized PLNM through PI-RADS v2 scores of 221 patients with prostate cancer. In our study, a threshold of PI-RADS v2 score of 5 seems to be associated with an increased risk of normal-sized PLNM, which may help identify the need for further node-specific imaging studies or pelvic lymph node dissection when a patient with prostate cancer has only normal-sized pelvic lymph nodes on preoperative imaging.

1008
8:27
Sparse Prostate Cancers on Whole-Mount Histopathology and Multiparametric MRI
Olga Starobinets1,2, Jeffry P Simko3, Kyle Kuchinsky3, Peter R Carroll4, Kirsten L Greene4, John Kurhanewicz1,2, and Susan M Noworolski1,2

1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Graduate Group in Bioengineering, University of California, San Francisco and Berkeley, San Francisco, CA, United States, 3Department of Pathology, University of California, San Francisco, San Francisco, CA, United States, 4Department of Urology, University of California, San Francisco, San Francisco, CA, United States

The study purpose was to establish incidence and Gleason Score of sparse lesions on whole-mount histopathology in post-prostatectomy samples and to identify imaging characteristics associated with sparse cancers detected on multiparametric MRI (mpMRI). Based on histopathology, sparse lesions were smaller than dense lesions (0.065cc vs 0.916cc), with the majority (56/57 sparse) being low-grade (GS3+3). On imaging, we found statistically significant differences between sparse GS3+3 and benign tissues on apparent diffusion coefficient and peak enhancement maps. This combined with small-size and low-grade, and thus low clinical importance [1] of sparse lesions suggests that current mpMRI capabilities are sufficient to characterize these lesions. 

1009
8:39
Microstructural Diffusion-Weighted (VERDICT) MRI Metrics are Repeatable and Show Potential at Characterising Gleason 7 Prostate Cancer Non-Invasively
Edward William Johnston1, Elisenda Bonet-Carne2, Hayley Pye3, Joey Clemente1, Ben Yvernault2, Dominic Patel4, Susan Heavey3, Mrishta B Appayya1, Alexandra Saborowska5, Ashwin Sridhar6, Greg Shaw6, Sebastien Ourselin2, David Hawkes2, Caroline Moore6, Hayley Whitaker3, Manuel Rodriguez-Justo4, Alexander Freeman4, Eleftheria Panagiotaki2, Daniel Alexander2, and Shonit Punwani1

1Centre for Medical Imaging, University College London, London, United Kingdom, 2Centre for Medical Image Computing, University College London, London, United Kingdom, 3Research Department for Tissue & Energy, University College London, London, United Kingdom, 4Department of Pathology, University College London Hospital, University Street, United Kingdom, 5Radiology, University College London Hospitals, London, United Kingdom, 6Department of Urology, University College London Hospital, London, United Kingdom

In this study we we assess the repeatability of VERDICT (Vascular, Extracellular, and Restricted Diffusion for Cytometry in Tumours) MRI parameters in prostate cancer consider their ability to distinguish between Gleason grades compared with the standard ADC model in 71 patients. Four of the parametric maps derived from the VERDICT technique were found to be satisfactorily repeatable for use as a clinical tool, and are capable of identifying a Gleason 7 component in prostate cancer where ADC failed to do so. VERDICT therefore holds great potential for use in clinical prostate cancer management pathways in the future.

1010
8:51
Machine learning analysis of multi-parametric MRI helps to improve the predictive performance in prostate cancer
Rui Wang1 and Xiaoying Wang1

1Peking University First Hospital, Beijing, People's Republic of China

We first investigated the systemic outcome of a crowd underwent PSA-based screening and pre-biopsy mp-MRI, and demonstrated the predictive role of pre-biopsy mp-MRI for PCa by using an advanced machine learning-based approach. Here we answer one important question at the beginning of the paper: (1) mp-MRI coupled with PSA screening program can be used to detect PCa. By the constructed nomogram, the outcome of most patients could be accurately predicted in the first 1-yr follow-up period if they received a pre-biopsy mp-MRI examination, even without invasive TRUS biopsy.

1011
9:03
A comprehensive study of machine-assisted classifiers for predicting prostate cancer Gleason grade
Jing Wang1, Yang Fan2, and Yudong Zhang3

1Center for Medical Device Evaluation, CFDA, Beijing, People's Republic of China, 2MR Research China, GE Healthcare, Beijing, People's Republic of China, 3Department of Radiology, the First Affiliated Hospital with Nanjing Medical University, Nanjing, People's Republic of China

We performed comprehensive study of eight popularized classifiers for predicting prostate cancer (PCa) Gleason score (GS). The multi-parametric MRI data was obtained from 205 histopathology-confirmed PCa. The MR features were modeled using eight classifiers to predict high-GS (4+4) PCa, including Logistic Regression (LR), Artificial Neural Network (ANN), Support Vector Machine (SVM), Naive Bayes (NB), Relevance Vector Machine (RVM), Least Absolute Shrinkage and Selection operator (LASSO), Discriminant Analysis (DA) and Decision Tree (DT) analysis. Results showed that LASSO and DA had significantly higher area under curve than other classifiers, thus could be valuable for automatic prediction of PCa grade.

1012
9:15
The value of multiparametric MR Imaging in predicting the volume of clinically significant prostate cancer: a whole-mount step-section analysis
Jian Jiang1, Huihui Wang1, and Xiaoying Wang1

1Peking University First Hospital, Beijing, People's Republic of China

This study is to assess the factors influencing multiparametric (MP) MR Imaging occuracy in estimating the volume of clinically significant prostate cancer (Vh) by using whole-mount step-section slides as standard of reference.

1013
9:27
MRI guided biopsy in Patients with positive TRUS-biopsy: Necessity or Overkill?
Kareem K Elfatairy1, Christopher P Filson2, Adeboye O Osunkoya3, Rachel L Geller3, and Sherif G Nour1

1Radiology, Emory University-School of Medicine, Atlanta, GA, United States, 2Urology, Emory University-School of Medicine, Atlanta, GA, United States, 3Pathology, Emory University-School of Medicine, Atlanta, GA, United States

TRUS biopsy (TRUS-Bx) is the standard of care for prostate cancer diagnosis but has several limitations. Multiparameteric MRI and MRI guided biopsy (MRGB) show considerable added benefits with better disease detection and stratification. The purpose of this study is to evaluate the role of in-bore MRI guided biopsy in patients with positive TRUS-Bx. 40 patients with 71 TRUS-Bx positive lesions were analyzed for cancer detection rate, false negative rate, and Gleason score upgrade by MRGB. MRGB showed 65% cancer detection rate, 35 % false negative rate, and upgraded disease status in 40% of the whole sample

1014
9:39
Effects of 5 alpha-Reductase Inhibitors on Detection of Prostate Cancer on MRI
Lori Mankowski Gettle1, Shivashankar Damodaran 2, David F. Jarrard2, and Frederick Kelcz1

1Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States, 2Urology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States

5 alpha reductase inhibitors have shown promise in increasing the detection of prostate cancer in prior ultrasound studies.  No studies have been performed looking at the effect of 5 alpha reductase inhibitors on increasing the conspicuity of prostate cancer in MRI.   The purpose of this study was to determine if treatment with a 5 alpha reductace inhibitor could increase sensitivity for the detection of prostate cancer in the background setting of benign prostatic hypertrophy. 

1015
9:51
Improved Accuracy of Apparent Diffusion Coefficient (ADC) Quantification: Evaluation in Prostate Diffusion Imaging without Using Endorectal Coils
Xiaodong Zhong1,2, Marcel D. Nickel3, Stephan A.R. Kannengiesser3, Alto Stemmer3, Brian M. Dale4, Berthold Kiefer3, and Mustafa R. Bashir5

1MR R&D Collaborations, Siemens Healthcare, Atlanta, GA, United States, 2Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, United States, 3MR Application Predevelopment, Siemens Healthcare, Erlangen, Germany, 4MR R&D Collaborations, Siemens Healthcare, Cary, NC, United States, 5Center for Advanced Magnetic Resonance Development, Duke University Medical Center, Durham, NC, United States

In prostate DWI, low SNR often causes inaccuracy in ADC quantification if not compensated, especially when using surface array coils. Endorectal coils can be used, although associated with substantial setup time, patient discomfort and complications. In this work, a noise bias correction framework was developed and validated in a Monte Carlo simulation, a diffusion phantom, and 14 prostate imaging subjects. Using data acquired with an endorectal coil as a reference, this framework showed improved accuracy of ADC quantification in the prostate when only non-endorectal coils were used. This framework may allow quantitative prostate diffusion imaging without requiring endorectal coils.

1016
10:03
Multi-Parametric/-Nuclear 1H/23Na Clinical Protocol of the Prostate at 3T using a Double Resonant Coil
Nadia K Paschke1, Daniel Hausmann2, Lothar R Schad1, Stefan O Schönberg2, and Frank G Zöllner1

1Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, 2Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany

Prostate cancer is the most common malignancy in men. T2-weighted magnetic resonance imaging (MRI) has been shown to provide detailed information about anatomical structures but suffers from low specificity of morphological abnormalities. To enhance identification of malignant lesions, we set up a multi-parametric and multi-nuclear clinical protocol, in which sodium (23Na-) MRI and diffusion weighted imaging with standard and high b-values are added to the morphological T2-weighted sequences. Using a double resonant 23Na/1H abdominal coil allows acquiring sodium images directly after high resolution clinical proton sequences. Coil changes become unnecessary, which improves clinical feasibility.


Oral

Motion Correction: No Brainer

Room 311 Thursday 8:15 - 10:15 Moderators: Martina Callaghan & Daniel Gallichan

1017
8:15
T1-weighted two-point fat/water separated PROPELLER acquired with dual bandwidths
Henric Rydén1, Johan Berglund2,3, Enrico Avventi1,4, Ola Norbeck1,4, and Stefan Skare1,4

1Neuroradiology, Karolinska University Hospital, Stockholm, Sweden, 2Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden, 3Department of Medical Radiation Physics, Karolinska University Hospital, Stockholm, Sweden, 4Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden

A PROPELLER sequence with dual bandwidths was developed for T1-weighted fat/water separated imaging. The bandwidth of the second readout was adjusted to remove dead time related to shifted readouts in order to improve SNR efficiency. Before PROPELLER reconstruction, bladewise fat/water separation was performed in k-space to remove chemical shift displacement artifacts. This enabled low bandwidth acquisitions without smearing of the fat signal, which further improved SNR efficiency. Strong fat suppression insensitive to B0 inhomogeneity was demonstrated in imaging of the neck and orbits.

1018
8:27
Fast, non-local temporally regularized elastic group-wise motion correction for improved fidelity of liver DCE-MRI
Ks Shriram1, Dattesh D Shanbhag1, Jeong Hee Yoon2, Uday Patil1, Moon Jung Hwang3, Jeong Min Lee 2, Rakesh Mullick1, and Sheshadri Thiruvenkadam1

1GE Global Research, Bangalore, India, 2Seoul National University Hospital, Seoul, Korea, Republic of, 3GE Healthcare, Seoul, Korea, Republic of

A novel group-wise registration methodology using non-local regularization is presented for liver DCE-MRI data that can provide robust motion correction even in cases of large deformations,  restores DCE data characteristics, generates physiologically relevant PK maps and is feasible for clinical practice due to short computation time. 

1019
8:39
A novel fat and iron quantification technique with non-rigid motion-corrected averaging based on non-local means
Huiwen Luo1,2, Curtis Wiens1, Ann Shimakawa3, Scott B. Reeder1,4,5,6,7, Kevin M. Johnson1,4, and Diego Hernando1,4

1Radiology, University of Wisconsin-Madison, Madison, WI, United States, 2Electronic engineering, Tsinghua University, Beijing, People's Republic of China, 3Global MR Applications and Workflow, GE Healthcare, Madison, WI, United States, 4Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 5Biomedical engineering, University of Wisconsin-Madison, Madison, WI, United States, 6Medicine, University of Wisconsin-Madison, Madison, WI, United States, 7Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States

In this study, we developed and validated a free-breathing fat and R2* quantification technique using a multi-average 2D sequential acquisition with non-rigid motion-corrected averaging based on a non-local means (NLM) approach. The proposed technique was applied to simulated data as well as free-breathing liver acquisitions in volunteers. Both direct averaging and the proposed NLM technique were applied to the data to improve SNR. Compared to direct averaging, the proposed NLM technique resulted in improved image quality without motion artifacts, as well as accurate fat and R2* measurements in both simulations and in vivo acquisitions. 

1020
8:51
Investigation of Simultaneous Multi-slice Imaging Utilized for Respiratory Gating: A Golden Angle Radial CAIPI Free-Breathing Cine Method
Dana C Peters1, Chenxi Hu2, Yuqing Wan1, and Maolin Qiu1

1Yale University, New Haven, CT, United States, 2Yale University

We investigated simultaneous multi-slice as a method for performing respiratory-gating. One slice is used to monitor respiration, while another slice is targeted for imaging. Radial CAIPI data was acquired using a golden angle ordering for free-breathing 2D cine.  At each cardiac phase and at each heart-beat, images of the heart and the diaphragm were obtained.  Finally, a composite image of the heart was reconstructed using data from all frames acquired at end-expiration, with more projections and higher quality than a single heart-beat image.

1021
9:03
Silent Navigator-Triggered Silent-MRI in Abdomen
Yuji Iwadate1, Atsushi Nozaki1, Yoshinobu Nunokawa2, Shigeo Okuda3, Masahiro Jinzaki3, and Hiroyuki Kabasawa1

1Global MR Applications and Workflow, GE Healthcare Japan, Hino, Japan, 2Office of Radiation Technology, Keio University Hospital, Tokyo, Japan, 3Department of Radiology, Keio University School of Medicine, Tokyo, Japan

We incorporated a silent navigator (sNav) with the whole volume excitation into zero-TE pulse sequence for respiratory motion corrected silent abdominal imaging. The sNav signals showed an excellent correlation between the bellows signals, and resultant zero-TE images had better contrasts than those acquired without respiratory triggering. The sNav-triggered zero-TE technique is expected to be used in abdominal MRI where acoustic noise is problematic (e.g. pediatric patient imaging with anesthesia).

1022
9:15
Accelerated motion compensated 3D isotropic coronary MRA using variable density Cartesian sampling
Teresa M Correia1, Gastao Cruz1, Camila Munoz1, Rene Botnar1, and Claudia Prieto 1

1Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom

Accelerated whole-heart 3D isotropic coronary MR angiography (CMRA) is achieved by undersampling the acquisition using a variable-density radial Cartesian (VDRC) trajectory and performing non-rigid respiratory motion correction directly in the low-dimensional-structure self-learning and thresholding (LOST) reconstruction. The proposed approach corrects for 2D beat-to-beat translational and 3D bin-to-bin non-rigid motion. The former is estimated from interleaved image navigators and the latter directly from the CMRA data. The VDRC trajectory provides improved respiratory bin reconstructions and initial image estimate for LOST. The proposed approach produces good quality images, comparable to those of a two-fold accelerated navigator-gated acquisition with ~4x longer scan time.

1023
9:27
Evaluation of Self-Navigated Golden-Angle Ordered Conical Ultrashort Echo Time (UTE) MRI of the Abdomen on Pediatric Patients in Multiple Sedation States
Anshul Haldipur1, Evan James Zucker1, Joseph Y. Cheng1, Michael Carl2, and Shreyas S. Vasanawala1

1Radiology, Stanford University, Stanford, CA, United States, 2Applied Science Laboratory, GE Healthcare, San Diego, CA, United States

To assess the feasibility of conical k-space trajectory free-breathing UTE abdominal MRI and the effects on image quality of 50% data subsampling (thereby potentially shortening scans) and soft-gated motion correction reconstruction techniques, 42 consecutive pediatric patients were recruited and scanned. The images were scored in blinded fashion by two readers. Adequate delineation was obtained for all evaluated abdominal structures except the hepatic artery. 50% subsampling decreased image quality only slightly, favoring the implementation of a shorter scan time with negligible diagnostic compromise. Overall, motion correction mildly degraded image quality, possibly due to greater noise from data subsampling.

1024
9:39
Quantification, Analysis, and Correction of Nonrigid Motion in Free-Breathing, Non-Contrast-Enhanced Renal Angiography using 3D Image-Based Navigators
Srivathsan P. Koundinyan1, Corey A. Baron1, Mario O. Malavé1, Nii Okai Addy1, Jieying Luo1, R. Reeve Ingle1, and Dwight G. Nishimura1

1Electrical Engineering, Stanford University, Stanford, CA, United States

We present a method that leverages 3D image-based navigators (iNAVs) for nonrigid motion correction in free-breathing, non-contrast-enhanced renal angiography scans. We begin by performing an ROI-based analysis of 3D iNAV motion, with ROI selection based on published biomechanical simulations of the renal arteries during respiration. Then, we demonstrate that localized motion estimates derived from different ROIs agree with the findings of the simulations. Finally, we combine the extracted motion information with an autofocusing technique for respiratory motion compensation. Across all patient studies, the proposed method significantly improves the depiction of the renal arteries as compared to 3D translational motion correction.

1025
9:51
Highly efficient respiratory motion corrected dual-phase coronary MR angiography in a 3T PET-MR system
Camila Munoz1, Radhouene Neji1,2, Rene Botnar1, and Claudia Prieto1

1Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare, Frimley, United Kingdom

Respiratory motion remains a major challenge for dual-phase coronary MR angiography (CMRA). Here we propose an efficient acquisition and reconstruction scheme, that allows for inline 2D translational and offline 3D non-rigid motion-corrected systolic and diastolic CMRA using image-based navigators. Results from healthy volunteers show that motion correction improves visualization of the right and left coronary arteries in both cardiac phases. The proposed scheme potentially allows for comprehensive diagnosis of coronary artery disease using simultaneous PET-MR by acquiring coronary anatomy and left-ventricular function with the dual-phase CMRA and myocardial perfusion/viability with PET in an efficient cardiac and respiratory motion-compensated framework.

1026
10:03
Respiratory Motion Compensation in the Liver using Fat-Only Self Gated Signal
Thomas Martin1,2, Tess Armstrong1,2, Ely Felker2, James Sayre2, Steve Raman2, Holden Wu2, and Kyunghyun Sung2

1Biomedical Physics, University of California, Los Angeles, Los Angeles, CA, United States, 2Radiological Sciences, University of California, Los Angeles, Los Angeles, CA, United States

A multi-echo 3D golden angle radial gradient echo (GRE) sequence for fat-only respiratory motion extraction is a promising technique for liver dynamic contrast enhancement MRI (DCE-MRI), because it has inherent motion robustness, while providing other advantages, such as water-only images and R2* mapping. In this work we demonstrate that respiratory motion correction in the liver can be achieved using a fat-only self-navigated signal with minimal error in the fat-water separation (< 5%). Using this technique has implications of a more robust motion correction for liver DCE-MRI due to its inherent separation between respiratory motion signal and contrast uptake.


Oral

Preclinical Molecular Imaging

Room 313A Thursday 8:15 - 10:15 Moderators: Xiaoping Hu & Paula Foster

1027
8:15
Quantitative four-dimensional motility tracking of individual immune cells in living mouse brain
Yuki Mori1,2, Daniela Martinez de la Mora1,2, Atsuki Tashita3, Syoji Kobashi3, Ikuhiro Kida2, Yutaka Hata4, and Yoshichika Yoshioka1,2

1Biofunctional Imaging, WPI Immunology Frontier Research Center, Osaka University, Suita, Osaka, Japan, 2Center for Information and Neural Networks, National Institute of Information and Communications Technology and Osaka University, 3Graduate School of Engineering, University of Hyogo, 4Graduate School of Simulation Studies, University of Hyogo

Improved imaging techniques are being used to broaden the scope and better understanding of the complex cell behaviours in the body. Nonetheless, the migratory behavior of immune cells after CNS injury is still poorly understood. In this study, we employed four-dimensional (4D) MRI to monitor the dynamic migration of infiltrating monocytes/macrophages in the living mouse brain. Our results demonstrate the possibility of non-invasive long-term monitoring of individual live cells. Moreover, this innovative technique furthers our understanding of the cellular mechanisms occurring in the normal and injured brain tissues.

1028
8:27
A gene reporter detected using MRI measurements of reporter-mediated increases in transmembrane water exchange
Franz Schilling1, Susana Ros1, De-En Hu1, Paula D'Santos1, Sarah McGuire1, Richard Mair1, Alan Wright1, Elizabeth Mannion1, Robin J.M. Franklin2, André A. Neves1, and Kevin M. Brindle1

1Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom, 2Wellcome Trust-Medical Research Council Stem Cell Institute and Department of Clinical Neurosciences, University of Cambridge

Non-invasive imaging of gene expression can be used to track cells in vivo but often requires the addition of an exogenous contrast agent that may have limited tissue access. We show that the urea transporter (UT-B) can be used as a gene reporter, where reporter expression was detected using 1H MRI measurements of UT-B-mediated increases in plasma membrane water exchange. AXR values measured in UT-B-expressing HEK cell xenografts, were significantly higher compared with non-expressing controls. Transduction of rat brain cells with a lentiviral vector expressing UT-B resulted in a ≈ 2-fold increase in AXR at the site of virus injection.

1029
8:39
Brain-wide Interaction of Low Frequency Hippocampal Activity with Layer-specific Cortical and Subcortical Regions:  An Optogenetic Manganese-enhanced MRI Study
Yongrong Qiu1,2, Leon C. Ho1,2, Russell W. Chan1,2, Alex T.L. Leong1,2, Xunda Wang1,2, Celia M. Dong1,2, and Ed X. Wu1,2

1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong, SAR, People's Republic of China, 2Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, SAR, People's Republic of China

The hippocampus, including the dentate gyrus (DG), and the sensory cortices, which consist of six distinct layers, have reciprocal connections with the entorhinal cortex (EC). However, the low frequency hippocampal-cortical interactions and layer-specific cortical responses remains largely unknown. Combining the optogenetic stimulation and manganese-enhanced MRI, the present study revealed layer-specific responses of sensory cortices and EC involvement in hippocampal-cortical interactions during low frequency stimulation, but not high frequency, at dorsal DG. In summary, we demonstrated an effective combination of optogenetic stimulation and manganese-enhanced MRI to uncover the frequency-dependent and cortical layer-specific responses involved in brain-wide interactions.

1030
8:51
Novel Polymer and Peptide REACTION-based Theranostics for MRI.
Laura Szkolar Sienkiewicz1, Dorela Shuboni-Mulligan1, Christiane Mallett1, and Erik Shapiro1

1Radiology, Michigan State University, East Lansing, MI, United States

MRI offers a unique opportunity for theranostic agent development. By engineering both polymer and peptide materials, we have scope to successfully target, image and treat a range of biological conditions. Here we successfully demonstrate the use of targeted and triggered nanoparticles, encapsulating imaging and chemotherapeutic agents, as theranostics for MRI.


1031
9:03
Maternal and fetal glucose uptake followed by chemical exchange saturation transfer imaging (glucoCEST) on pregnant mice at 21.1T
Stefan Markovic1, Jens Rosenberg2, Shannon Helsper2, Tangi Roussel3, Michal Neeman4, Samuel Grant2,5, and Lucio Frydman1

1Department of Chemical Physics, Weizmann Institute of Science, Rehovot, Israel, 2National High Magnetic Field Laboratory, Florida State University, Tallahassee, FL, United States, 3NeuroSpin Centre CEA Saclay, Gif-sur-Yvette, France, 4Department of Biological Regulation, Weizmann Institute of Science, Rehovot, Israel, 5Chemical & Biomedical Engineering Department, FAMU-FSU College of Engineering, Tallahassee, FL

GlucoCEST generates a contrast that is sensitive to glucose uptake and metabolism. While previously shown with tumor models, a distinct glucose metabolism is also characteristic of pregnancy. This study explores the potential of glucoCEST under this condition. Glucose was administered to pregnant mice by gavage in a manner akin to that used in human pregnancy-induced diabetes tests, and subsequently monitored in-vivo by glucoCEST at 21.1T. Distinct differences were apparent upon instituting glucose, with organ-specific glucoCEST contrast exceeding 50-70%. Notable imaging differences were noted between dame and fetuses upon glucose gavage, as well as between pregnant and non-pregnant animals.

1032
9:15
Molecular MR imaging of pulmonary fibrogenesis using the novel probe GdOA
Philip Alan Waghorn1, Chloe Jones1, Clemens Probst2, Diego Ferreira1, Nicholas Rotile1, Howard Chen1, Andrew Tager2, and Peter Caravan1

1A.A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 2Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Charlestown, MA, United States

Fibrogenesis is a feature of idiopathic pulmonary fibrosis (IPF) that leads to the increased deposition and cross-linking of collagen. There remains a demand for non-invasive imaging of fibrogenesis in patients with suspected IPF to deliver earlier diagnoses and monitor treatment response. One universal feature of fibrogenesis is the oxidation of lysines on collagen to form allysine, which is a fundamental component for the cross-linking of collagen. We developed GdOA, a Gd-based MR probe that targets allysine as a marker for active fibrogenesis. We demonstrate that GdOA MR signal enhancement correlates with extent of disease and is sensitive to therapeutic response.

1033
9:27
Molecular imaging of inflammation and extracellular matrix remodeling in a murine model of myocardial infarction
Isabel Teixeira Ramos1,2, Markus Henningsson1, Maryam Nezafat1, Begoña Lavin1, Silvia Lorrio1, Alkystis Phinikaridou1,2, Ulrich Flögel3, Ajay Shah2,4, and René Botnar1,2

1Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 2Cardiovascular Division, The British Heart Foundation Centre of Excellence, King's College London, London, United Kingdom, 3Heinrich Heine University Düsseldorf, Düsseldorf, Germany, 4Cardiovascular Division, James Black Centre, King's College London, London, United Kingdom

A suitable degree and timely resolution of inflammation and extracellular matrix (ECM) deposition are requirements for optimal healing and remodeling after myocardial infarction (MI). In this study, we explored the merits of multinuclear 1H/19F MRI for the simultaneous assessment and quantification of cardiac inflammation and elastin deposition in a murine model of MI. 19F containing particles, uptaken by macrophages, were used to investigate inflammatory cell recruitment into injured myocardium and an elastin-specific MR contrast agent was used to evaluate changes in elastin content in the ECM post-MI.

1034
9:39
MR molecular imaging of extradomain-B fibronectin for characterizing prostate cancer aggressiveness
Zheng Han1, Sarah Roelle1, Yuchi Liu1, Xin Yu1, and Zheng-Rong Lu1

1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States

Accurate risk stratification is critical to the clinical management of prostate cancer. The objective of our study is to investigate the effectiveness of MR molecular imaging of EDB-FN for non-invasive localization and characterization of prostate cancer aggressiveness. An EDB-FN targeting Gd-based contrast, ZD2-Gd(HP-DO3A), was designed and synthesized. Molecular MRI of EDB-FN with ZD2-Gd(HP-DO3A) can specifically improve contrast enhancement in high-risk prostate tumors, not low-risk tumors, enabling accurate characterization of prostate cancer aggressiveness. Molecular MRI with the contrast agent has great promise for detection of high-risk prostate cancer, and non-invasive differential diagnosis and risk stratification of human prostate cancer. 

1035
9:51
The Role of the L-type calcium channel Cav1.2 in MEMRI
Benedikt Bedenk1, Suellen Almeida-Correa1, Carsten T Wotjak1, and Michael Czisch1

1Max Planck Institute of Psychiatry, Munich, Germany

L-type voltage-dependent Ca2+ channels of type Cav1.2, but not Cav1.3, are essential for Mn2+ accumulation in MEMRI. Cav1.2 conditional knock-out animals were exploited to show that a bias exists towards Mn2+ accumulation in axon terminals and highly dense output structures. Our results have strong implications for the analysis of activity dependent Mn2+ accumulation.

1036
10:03
Detecting in vivo urokinase Plasminogen Activator activity with a catalyCEST MRI contrast agent
Sanhita Sinharay1, Christine M. Howison2, Amanda F. Baker3, and Mark D. Pagel2

1Chemistry and Biochemistry, University of Arizona, Tucson, AZ, United States, 2Medical Imaging, University of Arizona, Tucson, AZ, United States, 3University of Arizona Cancer Center, University of Arizona, Tucson, AZ, United States

SYNOPSIS: We have designed a nonmetallic contrast agent, GR-4Am-SA, that can detect the activity of urokinase Plasminogen Activator with CEST MRI.  uPA cleaves a peptide of the agent which causes CEST at 5.0 ppm to decrease, but CEST at 9.5 ppm is unchanged.  The two CEST signals were used to determine a reaction coordinate, representing the extent of enzyme-catalyzed cleavage of the GR-4Am-SA agent. GR-4Am-SA detected uPA activity in solution, and in a flank xenograft model of Capan-2 pancreatic cancer. 


Oral

All But Cartesian

Room 313BC Thursday 8:15 - 10:15 Moderators: Pablo Irarrazaval & Craig Meyer

1037
8:15
Wave-LORAKS for faster Wave-CAIPI MRI
Tae Hyung Kim1, Berkin Bilgic2,3, Daniel Polak4, Kawin Setsompop2,3, and Justin P. Haldar1

1Electrical Engineering, University of Southern California, Los Angeles, CA, United States, 2A. A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 3Radiology, Harvard Medical School, Charlestown, MA, United States, 4Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany

Wave-CAIPI is a novel technique that enables accelerated acquisition with negligible g-factor penalty by using corkscrew readout trajectories, while LORAKS (LOw-RAnk modeling of local K-Space neighborhoods) is a powerful approach to constrained reconstruction that integrates sparse support, phase, and parallel imaging constraints into a unified linear prediction framework.  In this work, we propose a new fast imaging technique called Wave-LORAKS, which combines Wave-CAIPI acquisition with LORAKS-based reconstruction.  Retrospective undersampling experiments with 3D T1-weighted data show that Wave-LORAKS enables higher acceleration and more flexible sampling compared to traditional Wave-CAIPI, allowing up to 15-fold acceleration with similar quality as 9-fold accelerated Wave-CAIPI.

1038
8:27
Variable Density Single-Shot Fast Spin Echo with Auto-Calibrated Wave Encoding
Feiyu Chen1, Valentina Taviani2, Joseph Y Cheng3, Tao Zhang4, Brian A Hargreaves3, John M Pauly1, and Shreyas S Vasanawala3

1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Global MR Applications and Workflow, GE Healthcare, Menlo Park, CA, United States, 3Radiology, Stanford University, Stanford, CA, United States, 4Global MR Applications and Workflow, GE Healthcare, Houston, TX, United States

Wave encoding was implemented in a variable-density single-shot fast spin echo (VD-SSFSE) pulse sequence. Auto-calibrated estimation of the wave-encoding point-spread function (PSF) and coil sensitivity maps was used. Images were reconstructed with parallel imaging and compressed sensing reconstruction. Compared to non-wave-encoded Cartesian imaging, wave-encoded VD-SSFSE achieves improved image quality with reduced aliasing artifacts at higher acceleration factors and with full k-space coverage, providing fast acquisitions and clinically relevant echo times.

1039
8:39
Wave-CAIPI ViSTa: Accelerated mapping for direct visualization of myelin water
Zhe Wu1, Berkin Bilgic2,3, Hongjian He1, Yi Sun4, Kawin Setsompop2,3, and Jianhui Zhong1

1Center for Brain Imaging Science and Technology, Department of Biomedical Engineering, Zhejiang University, Hangzhou, People's Republic of China, 2Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, United States, 3Department of Radiology, Harvard Medical School, Boston, MA, United States, 4MR Collaboration NE Asia, Siemens Healthcare, Shanghai, People's Republic of China

Direct Visualization of Short Transverse relaxation time component (ViSTa) is a new myelin water imaging method, which directly extracts myelin water signal through double inversion RF pulses (DIR) to preserve signal from short T1 components. This method is robust and sensitive to demyelinated lesions, but suffers from extremely long scan time. Herein, we propose accelerated ViSTa acquisition through Simultaneous Multi-Slice (SMS) wave-CAIPI while keeping the high fidelity of ViSTa and MWF maps. As the average/maximum g-factor noise amplification is only 3/10% at MultiBand-4, further acceleration is likely to shorten whole brain MWF acquisition to within 5 minutes.

1040
8:51
Novel 3D Yarn-Ball k-space Acquisition for Fast High-Resolution T1-Weighted Brain Imaging
Robert W. Stobbe1, Peter Seres1, and Christian Beaulieu1

1Biomedical Engineering, University of Alberta, Edmonton, AB, Canada

Novel 3D Yarn-Ball k-space acquisition is applied for the first time in vivo with application to T1-weighted human brain imaging and a goal of 0.9x0.9x0.9 mm3 voxels in ~2 minutes at 3T. This efficient, large-looping trajectory allows much more of k-space to be sampled following each excitation than the 1 line of 3D-Gradient-Echo (3D-GRE), facilitating longer repetition times (TR), greater acquisition duty cycle, and full sampling. We demonstrate that as a result images created with Yarn-Ball yield better resolution phantom element distinction, and considerably higher SNR (2x on average) in vivo than the three different 3D-GRE methods tested.

1041
9:03
Flexibility and Robustness of Cones UTE for Pediatric Abdominal and Chest Imaging
Joseph Y. Cheng1, Wenwen Jiang2, Michael Carl3, Michael Lustig4, and Shreyas S. Vasanawala1

1Department of Radiology, Stanford University, Stanford, CA, United States, 2Department of Bioengineering, University of California, Berkeley, CA, 3Applied Science Laboratory, GE Healthcare, San Diego, CA, 4Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, United States

Three-dimensional cones k-space sampling trajectory in UTE imaging is ideal for pediatric abdominal and chest MRI which are often hindered by patient motion and lengthy scan durations. The scan-time efficiency of the trajectory reduces scan durations with little to no subsampling. With the repeated sampling and oversampling of the k-space center, the acquisition is robust to motion and can flexibly retrospectively tradeoff spatial and temporal resolutions. Lastly, the method enables retrospective delineation of physiological dynamics. These features of cones UTE enable flexibility and robustness that is ideal for pediatric MRI.

1042
9:15
Single-Shot Spiral Arterial Spin Labeling MRI Enabled by Concurrent Field Monitoring
Mustafa Cavusoglu1, Lars Kasper1, and Klaas Paul Pruessmann1

1Institute of Biomedical Engineering, ETH Zurich, Zurich, Switzerland

Spiral k-space sampling holds great potential for many MRI applications particularly for arterial spin labeling which has inherently very low SNR. Besides providing significant increase in SNR by reducing the echo time and readout durations, spiral trajectories with single shot acquisitions are highly robust against motion artifacts. However their sensitivity to encoding deficiencies such as B0 off-resonance, field drifts, eddy currents, gradient coupling, gradient delays and concomitant fields prevents their utilization effectively in practice. In this work, we provide ASL with single-shot spiral readouts that are robust against all those deficiencies by using dynamic field monitoring concurrent with image acquisition.

1043
9:27
Looping Star
Florian Wiesinger1, Anne Menini1, and Ana Beatriz Solana1

1GE Global Research, Munich, Germany

This abstract describes a novel imaging method called Looping Star.  The unique imaging characteristics are 1) continuous 3D radial imaging with close to 100% sampling efficiency, 2) inaudible/silent scanning, and produces 3) multi-gradient echo images at equidistant echo times including an FID image at TE=0.  Looping Star is demonstrated in phantom, and in-vivo experiments for T2* weighted imaging and T2* BOLD fMRI.

1044
9:39
Dynamic imaging of eye and optic nerve with golden angle radial MRI.
Saikat Sengupta1,2, David Smith1,2, Alex Smith2,3, E. Brian Welch1,2, and Seth Smith1,2

1Department of Radiology, Vanderbilt University Medical Center, Nashville, TN, United States, 2Vanderbilt University Institute of Imaging Science, 3Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States

In this abstract we present dynamic imaging of the eyes and the optic nerves in humans using golden angle radial MRI. Continuous 15 s radial scans with azimuthal profile steps of 111.246 degrees are acquired under various eye motion states. Qualitative analyses of the images reveal features of basic eye and nerve mechanics. Image-based characterization of eye mechanics can improve understanding eye physiology and disease. 

1045
9:51
A scalable composite through-time radial GRAPPA method
Seng-Wei Chieh1, Steen Moeller2, Mehmet Akcakaya1, and Mostafa Kaveh1

1Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, United States, 2Center for Magnetic Resonance Research, University of Minnesota

Through-time radial GRAPPA showed promising reconstruction for cardiac imaging. However, it's challenging to extend 3D Kooshball trajectory because of long calibration scans. We propose a novel and flexible data-driven calibration method. The MRXCAT numerical phantom image results show image similarity with through-time radial GRAPPA.     

1046
10:03
Exploring various radial trajectories for optimal relative phase correction in dual-echo subtraction ZTE MRI
Hyo Min Lee1, Markus Weiger1, and Klaas Paul Pruessmann1

1Institute for Biomedical Engineering, University and ETH Zürich, Zürich, Switzerland

In dual-echo subtraction ZTE MRI, it is crucial to correct for gradient delays and phase offsets induced by eddy currents for high image quality. Relative phase correction is a data-driven approach to correct for the gradient hardware imperfection, but it requires that phase offsets induced by eddy current in positive and negative projections to be exact opposite of each other. This work has explored various radial trajectories to satisfy this condition in order to achieve optimal correction for gradient hardware imperfection in dual-echo subtraction ZTE MRI.


Oral

Novel Engineering & Technology

Room 314 Thursday 8:15 - 10:15 Moderators: Gang Chen & Fraser Robb

1047
8:15
In vivo MRI with Concurrent Excitation and Acquisition using Dynamic Analog Cancellation with Real-time Feedback
Ali Caglar Özen1, Jan Korvink2, Ergin Atalar3, and Michael Bock1

1Deptartment of Radiology, Medical Physics, Medical Center – University of Freiburg, Freiburg, Germany, 2Institute of Microstructure Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany, 3Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey

In this work concurrent excitation and acquisition (CEA) was realized in a clinical MRI system using a fully automated analog cancellation unit to suppress the unwanted transmit signal leakage during acquisition. The cancellation circuit is composed of a voltage-controlled phase shifter and attenuator, which changes phase and amplitude of a small copy of the transmit signal with a real-time feedback from MRI system. 90 dB on-resonant isolation was achieved within 2 s, where an isolation threshold was set to trigger re-adjustment of decoupling parameters when coil loading changes. To demonstrate feasibility, CEA MR data of a phantom and in vivo wrist were acquired.

1048
8:27
Ratio-adjustable power splitters for array-compressed parallel transmission and RF shimming
Xinqiang Yan1,2, Zhipeng Cao1,3, and William A. Grissom1,2,3

1Institute of Imaging Science, Vanderbilt University, Nashville, TN, United States, 2Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, United States, 3Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, United States

Array-compressed parallel transmission was recently proposed as a way to reduce the number of RF power amplifiers required for many-coil parallel transmission. This is achieved by connecting a large number of coils to a small number of channels via an array compression network that implements optimized coil-to-channel combinations using power splitters, attenuators and phase shifters. Previous array compression networks used tunable attenuators, but this resulted in significant power dissipation in the network. Here we propose novel ratio-adjustable power splitters (RAPS), which perform the combined duties of power splitting and attenuating, and will enable array compression networks with minimal power loss. The splitters could also be useful for RF shimming with a single amplifier, with the ability to tune the shims by adjusting transmission line lengths.

1049
8:39
Improved uniformity of the spatial PSF for portable MRI using an optimized rotating magnet
Clarissa Zimmerman Cooley1,2, Jason P Stockmann1,2, Patrick C. McDaniel3, Charlotte Sappo1, Christopher Ha1, Christopher E. Vaughn1, Matthew S. Rosen1,2, Thomas Witzel1,2, and Lawrence L. Wald1,2

1A.A. Martinos Center for Biomedical Imaging, Massachusettts General Hospital, Charlestown, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3EECS, Massachusetts Institute of Technology, Cambridge, MA, United States

The development of a low-cost portable MRI scanner for brain imaging could facilitate imaging in new sites with insufficient space, power, or funding for traditional scanners. To address this need, we previously established a 3D encoding method using a rotating inhomogeneous B0 field and RF phase gradients, but uncontrolled field patterns showed encoding problems near the object center. Here we show this problem can be fixed in an optimized 122 kg head-sized permanent magnet with a built-in approximately linear encoding field in 2D images with improved resolution homogeneity across the field of view.

1050
8:51
Plasma antennas in MRI: A four-channel transmit-receive plasma array at 3T
Markus Düring1,2, Sebastian Außenhofer3,4, Daniel Gensler2,5, Cord Meyer1, Andrew G. Webb3, Peter Michael Jakob1,2, and Florian Fidler2

1Experimental Physics 5, University of Wuerzburg, Würzburg, Germany, 2Magnetic Resonance and X-ray Imaging MRB, Developement Center X-ray Technology EZRT Fraunhofer Institute for Integrated Circuits IIS, Würzburg, Germany, 3C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, Netherlands, 4Noras MRI products GmbH, Höchberg, Germany, 5Comprehensive Heart Failure Center (CHFC), University of Wuerzburg, Würzburg, Germany

In this work a new type of antenna array based on plasma columns was designed, and the feasibility of using such an array for both transmit and signal reception was investigated. A four-channel plasma antenna array for a 3T whole-body scanner was designed and constructed. Images were successfully acquired for the first time, and negligible mutual coupling of the individual array elements was observed. Both acquired signal-to-noise maps and the acquired images show a great potential, particularly due to the absence of mutual coupling of the individual array elements.

1051
9:03
A  Geometrically Adjustable Loop-Dipole (LD) Head Array for 10.5T
Myung Kyun Woo1, Russell L Lagore1, Lance DelaBarre1, Byeong-Yeul Lee2, Yigitcan Eryaman1, Jerahmie Radder1, Arcan Erturk1, Gregory Metzger1, Pierre- Francois van de Moortele1, Kamil Ugurbil 1, and Gregor Adriany1

1University of Minnesota, Center for Magnetic Resonance Research (CMRR), Minneapolis, MN, United States, 2University of Minnesota, Center for Magnetic Resonance Research (CMRR)

We designed a geometrically adjustable 16 channel transceiver head Loop-Dipole (LD) array which allowed for variation in element placement. Functionality was established without inter element decoupling circuitry. We simulated the resulting 16-channel LD array and compare to 8 channel dipole only and 8 channel loop only configurations. Finally we acquired in-vivo porcine images from a 10.5T whole-body imaging system to demonstrate principle functionality.

1052
9:15
Combined Transmit Array and 8-channel Receive Coil Array for 19F/1H for Human Lung Imaging at 1.5 T Utilizing MEMS Transmit-receive Detuning
Adam Maunder1, Madhwesha Rao1, Fraser J. L. Robb1,2, and Jim M Wild1

1Unit of Academic Radiology, University of Sheffield, Sheffield, United Kingdom, 2GE Healthcare Inc., Aurora, OH, United States

MRI of inert fluorinated gases is a developing method for pulmonary ventilation imaging, but image quality is constrained by low spin density. Additionally, proton imaging is desirable for complementary structural information from the lungs. Here, an 8-element transmit/receive coil array for 1.5 T is presented, which is capable of imaging both 19F and 1H nuclei with higher SNR when compared to single-element alternatives. Microelectromechanical systems (MEMS) switches are utilized to provide broadband transmit-receive isolation over the frequency range of both nuclei. Coil channel isolation is demonstrated and MEMS switching performance with phantom imaging of both nuclei. 

1053
9:27
Size-adaptable 13-channel receive array for brain imaging in human neonates at 3 T
Nibardo Lopez Rios1,2, Alexandru Foias1, Gregory Lodygensky3,4,5, Nikola Stikov1,5, Mathieu Dehaes3,6,7, and Julien Cohen-Adad1,8

1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada, 2Medical Biophysics Center, University of Oriente, Santiago de Cuba, Cuba, 3Sainte-Justine Hospital University Center, Montreal, QC, Canada, 4Department of Pediatrics, Faculty of Medicine, University of Montreal, Montreal, QC, Canada, 5Montreal Heart Institute, Montreal, QC, Canada, 6Department of Radiology, Radio-oncology and Nuclear Medicine, University of Montreal, Montreal, QC, Canada, 7Institute of Biomedical Engineering, University of Montreal, Montreal, QC, Canada, 8Functional Neuroimaging Unit, CRIUGM, University of Montreal, Montreal, QC, Canada

A size-adaptable receive array that can accommodate a variety of heads in a pediatric population (27-week-premature to 1.5-month-old) is proposed. Thirteen spherically distributed loops can move in radial and axial directions to maximize their proximity to the subject. Decoupling between elements is ensured by strong preamplifier decoupling (-27 to -33 dB). Tests on a scanner with two phantoms (8 and 10 cm in diameter) resulted in higher SNR with the proposed coil compared to 8-Ch and 32-Ch commercial head coils. The method restricts head motion and could be of interest for other size-varying body parts, such as breast and limbs.

1054
9:39
A 16 channel head-only pTX array using high efficiency in-bore RFPAs at 3T
Michael Twieg1, Bhairav B Mehta1, Simone Coppo1, Jan Ruff2, Rene Gumbrecht2, and Mark A Griswold1

1Dept of Radiology, Case Western Reserve University, Cleveland, OH, United States, 2Siemens Healthcare GmbH, Erlangen, Germany

Parallel transmit (pTX) has been proposed as a solution to flip angle inhomogeneity and SAR at ultrahigh fields, as well as safety hazards with implantable devices. However, pTX systems come at high cost, partially due to the use of remotely located linear RF power amplifiers (RFPAs), which have poor power efficiency and rely on costly RF power cables to couple power to the subject. Here we demonstrate a 16 channel transmit array utilizing high efficiency RFPA modules inside the scanner bore. They RFPAs can deliver a total of over 1kW to the array while only cooled by natural convection.

1055
9:51
COSI Transmit: Open Source Soft- and Hardware Transmission System for traditional and rotating MR
Christian Blücher1, Haopeng Han1, Werner Hoffmann2, Reiner Seemann2, Frank Seifert2, Thoralf Niendorf1,3,4, and Lukas Winter1

1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2Physikalische Technische Bundesanstalt (PTB), Berlin, Germany, 3Experimental and Clinical Research Center (ECRC), a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine, Berlin, Germany, 4MRI.TOOLS GmbH, Berlin, Germany

As part of the open source imaging initiative (www.opensourceimaging.org), a collaborative effort to build an open source MRI, we proposed and built a transmission/reception RF system mostly consisting of open source components for traditional and rotating spatial encoding schemes. COSI Transmit is based on a GNU Radio compatible software defined radio (SDR) as a spectrometer, a 1kW RF-power amplifier, T/R switch, low noise preamplifier and a transmit/receive solenoid RF coil. The system operates in the frequency range from 1.8-30MHz (B0=0.042-0.7T) and can potentially be extended to B0=1.27T. Material cost of the system is ~3000€. 

1056
10:03
Correction of Gradient Induced Clock Phase Modulation for In-Bore Sampling Receivers
Jonas Reber1, Josip Marjanovic1, Christoph Schildknecht1, David Otto Brunner1, and Klaas Paul Pruessmann1

1ETH Zuerich and University of Zuerich, Institute for Biomedical Engineering, Zuerich, Switzerland

With increasing receive channel counts, moving digitizer electronics close to the coil is desirable for reduced cabling and cable coupling and improved patient safety. However, gradient induction degrades in-bore operated circuit performance. Particularly vulnerable are high quality sampling or mixing clocks, required for digitization or demodulation. Gradient induced oscillator modulations add to the already stringent jitter requirements and therefore directly reduce SNR. We present a method which corrects large parts of clock modulations and therefore increases phase SNR of in-bore acquired data e.g. 18 dB for a sinewave corrupted by EPI gradients.


Oral

Novel MRS Methods & Applications

Room 316A Thursday 8:15 - 10:15 Moderators: Ovidiu Andronesi & Melissa Terpstra

1057
8:15
A new pulse sequence for single-voxel 1H MRS measurement of cerebral Nicotinamide adenine dinucleotide (NAD+) in humans at 7T using 32-channel volume coil
Puneet Bagga1, Hari Hariharan1, Kevin D'Aquilla1, Ravi Prakash Reddy Nanga1, Mohammad Haris2, and Ravinder Reddy1

1Department of Rediology, University of Pennsylvania, Philadelphia, PA, United States, 2Research Branch, Sidra Medical and Research Center, Doha, Qatar

Nicotinamide adenine dinucleuotide (NAD+) is a ubiquitous molecule present in all cells and tissues of the body with an important role in the redox reactions and metabolism. Small changes in NAD+ levels may lead to oxidative stress and may be a cause for various disorders. Currently, NAD+ can be detected in vivo only by 31P NMR spectroscopy. Recently, NAD+ measurement with 1H MRS in the human brain with a surface coil was demonstrated. In the present study, we show a novel MR pulse sequence for the in vivo, single voxel localized detection of NAD+ from the human brain at 7T.

1058
8:27
Detection of MM using metabolite-nulled MEGA-LASER at 3T – A possible effect on GABA+ signal
Michal Považan1,2, Petra Hnilicová3, Gilbert Hangel1, Bernhard Strasser1, Ovidiu Andronesi4, Stephan Gruber1, Siegfried Trattnig1,2, and Wolfgang Bogner1,2

1Department of Biomedical Imaging and Image-guided Therapy, High Field MR Centre, Medical University Vienna, Vienna, Austria, 2Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, 3Jessenius Faculty of Medicine in Martin, Biomedical Center Martin, Division of Neurosciences, Comenius University in Bratislava, Martin, Slovakia, 4Harvard Medical School, Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States

In GABA-edited spectroscopy signal of macromolecules overlaps the signal of GABA. This macromolecular contribution to GABA signal (GABA+) is variable throughout the brain and can bias the quantification. We aimed to map the signal of macromolecules at 2.99 ppm using metabolite-nulled 3D MEGA-LASER MRSI. We found the GABA+/total creatine to be higher in white matter (45%), which contradicts the literature. The MM2.99ppm was found higher in white matter as well (24%). The macromolecular tissue distribution is among other factors affecting the GABA+ signal, therefore the detection of GABA is preferable to GABA+ if the removal of macromolecules is possible.

1059
8:39
High resolution maps of individual macromolecule components in the human brain at 9.4T
Sahar Nassirpour1,2, Paul Chang1,2, and Anke Henning1,3

1MPI for Biological Cybernetics, Tuebingen, Germany, 2IMPRS for Cognitive and Systems Neuroscience, Eberhard Karls University of Tübingen, Tuebingen, Germany, 3Institute of Physics, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany

Although ultra-short TE spectroscopy sequences enhance the information content of the spectrum, they are, in their nature, prone to quantification biases if the macromolecular (MM) components are not taken into account The aim of this study, was to 1) perform macromolecule mapping at 9.4T using an ultra-short TE double-inversion recovery (DIR) MRSI sequence, 2) model and parametrize the individual MM components, and 3) extract high resolution maps of individual MM components using the modelled MM basis set.

1060
8:51
Simultaneous Measurement of T1 and T2 Relaxation Times of Glutamate in the Frontal Cortex at 7T
Li An1, Shizhe Li1, and Jun Shen1

1National Institute of Mental Health, National Institutes of Health, Bethesda, MD, United States

Many central nervous system (CNS) abnormalities lead to significant changes in the microenvironment of glutamatergic neurons, which may alter relaxation times of glutamate. In this study, a method for simultaneously determining T1 and T2 of glutamate at 7T was presented. The method uses a point resolved spectroscopy (PRESS) sequence with multiple echo times, inversion-recovery times and RF suppression of aspartyl moiety of N-acetyl-aspartate (NAA). 


1061
9:03
Metabolite cycled semi-LASER and STEAM at 9.4T. Comparison and in vivo results.
Ioannis-Angelos Giapitzakis1,2, Tingting Shao1, Nikolai Avdievitch1, Nicole Fichtner3,4, Ralf Mekle5, Roland Kreis 3, and Anke Henning1,6

1High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Graduate School of Neural and Behavioural Sciences, Tuebingen, Germany, 3Departments of Radiology and Clinical Research, University Bern, Bern, Switzerland, 4Institute for Biomedical Engineering, UZH and ETH Zurich, Zurich, Switzerland, 5Center for Stroke Research Berlin (CSB), Charité Universitätsmedizin Berlin, Berlin, Germany, 6Institute of Physics, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany

The purpose of this study was the development of two new localization schemes for ultra high field (UHF) spectroscopic applications while utilizing the advantages of the Metabolite Cycling (MC) technique. In particular, a semi-adiabatic asymmetric pulse optimized for MC at 9.4T was incorporated into STEAM and semi-LASER localization schemes. In this study, these two new sequences along with the appropriate hardware setup were used to acquire in vivo 1H MRS data from the occipital lobe of the human brain and compare the corresponding results. In addition, the effect of frequency and phase correction based on the MC water spectra on data quality was investigated.

1062
9:15
Paediatric brain lesion classification using 3T MRS: Comparison of different pattern recognition techniques, A multi-centre study.
Niloufar Zarinabad1,2, Laurence J J Abernethy3, Dorothee P Auer4,5,6, Theodoros N Arvanitis2,7, Simon Bailey8, Nigel P Davies1,2,9, Daniel Rodriguez Gutierrez 4,5, Richard G. Grundy 4, Tim Jaspan 4,6, Dipayan Mitra 10, Paul S Morgan4,6,11, Barry Pizer 12, Martin Wilson1, Lesley MacPherson2, and Andrew Peet1,2

1University of Birmingham, Birmingham, United Kingdom, 2Birmingham children hospital, Birmingham, United Kingdom, 3Department of Radiology, Alder Hey Children's NHS Foundation Trust, 4The Children‘s Brain Tumour Research Centre, University of Nottingham, Nottingham, United Kingdom, 5Radiological Sciences, Department of Clinical Neuroscience, University of Nottingham, Nottingham, United Kingdom, 6Neuroradiology, Nottingham University Hospital, Queen’s Medical Centre, Nottingham, United Kingdom, 7Institute of Digital Healthcare, WMG, University of Warwick, Coventry, United Kingdom, 8Paediatric Oncology Department, Great North Children’s Hospital, Newcastle upon Tyne, United Kingdom, 9Department of Imaging and Medical Physics, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom, 10Neuroradiology Department, Newcastle upon Tyne Hospitals, Newcastle upon Tyne, United Kingdom, 11Medical Physics, Nottingham University Hospital, Queen’s Medical Centre, Nottingham, United Kingdom, 12Department of Paediatric Oncology, Alder Hey Children's NHS Foundation Trust, Liverpool, United Kingdom

The purpose of the study was to investigate the discriminative potential of metabolites obtained from 3T scanners in classifying paediatric posterior fossa brain tumours by comparing performance of three different pattern recognition techniques on a multicentre data set. A total of 52 paediatric patients with cerebellar tumours (16 Medulloblastomas, 31 Pilocytic Astrocytomas and 5 Ependymomas) were scanned using PRESS, TE 30-46 ms, across 4 different hospitals. Achieved balanced classification accuracy were 88% with random-forest, 84 % for the support-vector-machine and 81% for naïve-bays classifier. The achieved accuracy was better than the balanced accuracy previously reported for multi-centre datasets at 1.5T. 

1063
9:27
Diurnal variability of cerebral metabolites with 2D L-COSY
Jameen ARM1, Karen Ribbons2, Jeannette Lechner-Scott3, Kate Skehan3, Shiami Luchow3, and Saadallah Ramadan4

1University of Newcastle, Newcastle, Australia, 2Neurology, John Hunter Hospital, Australia, 3Hunter Medical Research Institute, Australia, 4University of Newcastle, Australia

Diurnal factors such as brain temperature, hydration and osmotic regulation have the potential to change metabolic profiles in two dimensional localised correlation spectroscopy (2D L-COSY).  Ten Healthy subjects underwent repeated 2D L-COSY on a 3T system over a 10hour period at three time points (0700, 1200 and 1700) to evaluate diurnal effects on brain neurometabolites. Results show significant diurnal effects between morning and evening scans. The present findings highlight the importance of maintaining a specific time when spectral data is acquired, especially in longitudinal studies where the dynamic nature of subject can present a confounding factor.

1064
9:39
Transcranial direct current-induced modulation of GABA levels and resting-state functional connectivity in older subjects
Florian Schubert1, Daria Antonenko2, Florian Bohm2, Semiha Aydin1, Dayana Hayek2, Ulrike Grittner3, Agnes Flöel2,3, and Bernd Ittermann1

1Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany, 2Department of Neurology, NeuroCure Clinical Research Center, Charité, Berlin, Germany, 3Center for Stroke Research, Charité, Berlin, Germany

Transcranial direct current stimulation (tDCS) modulates human behavior, neuronal patterns and metabolite concentrations. To unravel tDCS-induced alterations on the neuronal level we investigated tDCS-induced effects in older adults (50-79 years) using MRS to quantify GABA levels and resting-state fMRI to assess sensorimotor network strength and inter-hemispheric connectivity. Anodal, cathodal and sham tDCS were applied over the left sensorimotor region in a randomized, cross-over design. Compared to sham, anodal tDCS induced significantly reduced GABA levels, representing local plasticity, as well as lower large-scale network coupling and inter-hemispheric connectivity.

1065
9:51
The effect of high-intensity interval training on brain lactate levels during subsequent hypoglycemia in type 1 diabetes
Evita Wiegers1, Hanne Rooijackers2, Cees Tack2, Arend Heerschap1, Bastiaan de Galan2, and Marinette van der Graaf1,3

1Radiology and Nuclear Medicine, Radboud university medical center, Nijmegen, Netherlands, 2Internal Medicine, Radboud university medical center, Nijmegen, Netherlands, 3Pediatrics, Radboud university medical center, Nijmegen, Netherlands

Adaptations in brain lactate handling in response to hypoglycemia may play a role in the pathophysiology of impaired awareness of hypoglycemia (IAH). Therefore, we determined the effect of high-intensity interval training (HIIT)-induced hyperlactatemia on brain lactate  during subsequent hypoglycemia in type 1 diabetic (T1DM) patients with IAH, in T1DM patients with normal awareness of hypoglycemia (NAH) and in healthy controls. Brain lactate concentration was determined using a J-difference editing semi-LASER 1H-MRS sequence. After HIIT, brain lactate concentration increased most in T1DM IAH, consistent with an enhanced lactate transport capacity, and also dropped most during subsequent hypoglycemia, suggestive for increased lactate oxidation. 

1066
10:03
Long-term Effects of Recurrent Neonatal Hyperglycemia on the Hippocampal Neurochemical Profile of Rats.
Raghavendra Rao1 and Ivan Tkac2

1Department of Pediatrics, University of Minnesota, Minneapolis, MN, United States, 2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States

Hyperglycemia is common in extremely low-gestational-age neonates (ELGAN) and increases the risk of serious health problems in the neonatal period. However, the long-term effects are not well understood. The purpose of this study was to assess long-term effects of the recurrent neonatal hyperglycemia on the hippocampal neurochemical profile. Metabolite changes were quantified by in vivo 1H MRS at 9.4T using a rat model of neonatal hyperglycemia. The results of this study indicate that the recurrent hyperglycemia during neonatal period may alter energy metabolism and glutamatergic neurotransmission, which can contribute to delayed hippocampal development and cognitive deficits in ELGANs.


Oral

GI, Diabetes, & Metabolism

Room 320 Thursday 8:15 - 10:15 Moderators: Chris Flask & Houchun Hu

1067
8:15
Evaluation of the Vascular Perfusion in Activated Brown Adipose Tissue by Dynamic Contrast Enhanced MR Imaging
Jadegoud Yaligar1, Sanjay Kumar Verma 1, Venkatesh Gopalan 1, Anantharaj Rengaraj1, Tian Xianfeng1, and S. Sendhil Velan 1

1Laboratory of Metabolic Imaging, Singapore Bioimaging Consortium, A*STAR, Singapore

Vasculature plays an important role in white and brown adipose tissue (WAT and BAT) metabolism. In expanding WAT, abnormal vasculature may lead to energy (fat) deposition whereas in activated BAT it may potentially facilitate the energy consumption by oxidizing the fat. Understanding the vascular network and blood perfusion properties of the activated BAT is important for triglyceride clearance, increased blood flow and oxygen. In this feasibility study we have investigated the vascular properties and blood perfusion rate constant of the activated BAT by quantitative dynamic contrast enhanced MR imaging in a rodent model.

1068
8:27
Functional Assessment of Brown Adipose Tissue by T2 Mapping
Ulrich Flögel1, Christoph Jacoby1, Jens W. Fischer2, and Maria Grandoch2

1Experimental Cardiovascular Imaging, Heinrich Heine University, Düsseldorf, Germany, 2Pharmacology and Clinical Pharmacology, Heinrich Heine University, Düsseldorf, Germany

Within the last decade, the scientific interest in brown adipose tissue (BAT) was greatly invigorated by the discovery of functional BAT in adult humans. Importantly, reduced BAT activity has recently been associated with predisposition to obesity and abnormal glucose homeostasis. The current gold standard for functional BAT imaging is CT-guided 18FDG-PET. Here, we describe a robust T2 mapping method to assess the metabolic activity of BAT independent of substrate selection and without the need of harmful radiation or contrast agents. Compared to previous T2*-based techniques the present approach is less prone to susceptibility and physiological artifacts especially at high fields.

1069
8:39
Hyperpolarized 13C-pyruvate MRI of the liver and kidneys in rodent models of type 1 and type 2 diabetes
Cornelius von Morze1, Prasanna KR Allu2, Gene-Yuan Chang2, Irene Marco-Rius1, Eugene Milshteyn1, Catherine Gleason2, Daniel B Vigneron1, and David Pearce2

1Radiology & Biomedical Imaging, UCSF, San Francisco, CA, United States, 2Nephrology, UCSF, San Francisco, CA, United States

The purpose of this study was to characterize changes in hyperpolarized 13C-pyruvate spectra in the liver and kidneys of two contrasting models of diabetes, obese Zucker diabetic fatty (ZDF) rats and streptozotocin(STZ)-treated (insulin-deficient) wild type Zucker rats. The results were interpreted in combination with transcriptional analysis of freeze-clamped tissue samples from these animals. Hyperpolarized lactate levels were elevated in both models while hyperpolarized alanine signals clearly diverged, decreasing in the type 1 model but increasing in type 2. Overall, the results suggest a complex interplay of transcriptional and substrate-level effects in determining the metabolic phenotype in diabetes.

1070
8:51
Multinuclear in vivo MR spectroscopy at 7T reveals differences in liver and muscle metabolism in NAFLD patients and healthy controls
Martin Gajdošík1,2, Sabina Smajiš2, Christian Kienbacher3, Lorenz Pfleger1,2, Anton Luger2, Siegfried Trattnig1,4, Michael Trauner3, Michael Krebs2, and Martin Krššák1,2

1High-field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 2Division of Endocrinology and Metabolism, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria, 3Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria, 4Christian Doppler Laboratory for Clinical Molecular MR Imaging, Vienna, Austria

Recent developments at 7T allowed for qualitative assessment of the hepatic lipids, faster measurement of glycogen and ATP turnover. Improved spectral resolution also enabled better separation and quantitation of hepatic metabolites. The aim of the study was to employ the advanced methods of multinuclear in vivo MR spectroscopy at 7T in the liver and muscles in non-alcoholic fatty liver disease (NAFLD) patients and healthy controls. Static and dynamic multinuclear MRS data, supported by mixed meal test and euglycemic-hyperinsulinemic clamp study, showed metabolic changes and disturbed interorgan crosstalk in NAFLD patients.


1071
9:03
Renal Arterial Spin Labeling in Diabetes Mellitus
José M. Mora-Gutierrez1, Nuria García-Fernández1, María F. Slon2, Danny JJ Wang3, Alberto Benito4, José Páramo5, and María Fernández-Seara4,6

1Nephrology, University of Navarra Hospital, Pamplona, Spain, 2Nephrology, Navarra Hospital, Pamplona, Spain, 3Laboratory of Functional MRI Technology, Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, United States, 4Radiology, University of Navarra Hospital, Pamplona, Spain, 5Hematology, University of Navarra Hospital, Pamplona, Spain, 6Biomedical Engineering, TECNUN, University of Navarra, San Sebastian, Spain

Diabetic nephropathy (DN) is a microvascular complication of diabetes mellitus (DM) and a leading cause of chronic kidney disease (CKD). However evidence of renal damage is not detected until the advanced disease stages, using current clinical diagnostic tools. The goal of this study was to investigate renal hemodynamic changes in diabetic patients using ASL and evaluate whether the technique is sensitive enough to detect renal dysfunction early in the disease course, which could have relevant clinical and therapeutic implications. The results demonstrated detection of hemodynamic changes in kidney microvasculature in diabetic patients. Moreover, ASL was able to detect small changes in kidney perfusion across different stages of CKD in the diabetic population.

1072
9:15
Dynamic Contrast-Enhanced Magnetic Resonance Imaging: A Pre-Clinical Approach to Detect and Monitor Diabetes
Dorela Doris Shuboni-Mulligan1, Christiane L Mallett2, Maciek Parys3, Barbara Blanco-Fernandez4, and Erik M Shapiro1

1Radiology, Michigan State University, East Lansing, MI, United States, 2Radiology, Michigan State University, East Lansing, MI, 3Department of Comparative Medicine and Integrative Biology Program, Michigan State University, East Lansing, MI, United States, 4Radiology, East Lansing, MI, United States

The link between diabetes and dysregulation of OATP transporters provides an avenue for imaging the disease with MRI. The aim of this work was to use DCE-MRI to non-invasively measure decreases of OATPs during the onset of diabetes. The data presented here verifies that both Gd-EOB-DTPA and Gd-BOPTA enhanced MRI reveals underlying alterations in OATPs that are present in the liver and kidney as a result of diabetes. Preliminary data further suggests that there could be a link between changes in organ enhancement and disease onset. Thus, there is the potential to monitor diabetes and perhaps even diagnose pre-diabetes.

1073
9:27
Preliminary Analysis of Longitudinal Functional MRI Data in Diabetic Nephropathy and Healthy Controls
Lu-Ping Li1,2, Jon Thacker3, Wei Li1,2, Huan Tan1, Chi Wang4, Orly Kohn5, Stuart Sprague1,2, and Pottumarthi Prasad1,2

1Northshore University HealthSystem, Evanston, IL, United States, 2Pritzker School of Medicine, University of Chicago, Chicago, IL, United States, 3Biomedical Engineering, Northwestern Univerisity, Evanston, IL, United States, 4Research Institute, Northshore University HealthSystem, Evanston, IL, United States, 5University of Chicago, Chicago, IL, United States

BOLD, Diffusion and ASL MRI data were acquired in diabetic nephropathy (DN) patients with stage-3 chronic kidney disease and healthy subjects. Consistent with the chronic hypoxia model for progression of DN, kidneys in subjects with DN had significantly lower blood flow and medullary R2* compared to controls.  Intra-subject coefficient of variation (CV) for R2* and ADC was less than 10% in the control group when comparing baseline and 18 month data, suggests R2* and ADC measurements were reproducible over 18 month. CV was higher for blood flow.  

1074
9:39
Parametric mapping with spatial registration of abdominal MRI is feasible and may inform upon the spatial distribution of fibrosis in intestinal lesions of patients with Crohn’s Disease
Elizabeth Li1, Jordi Rimola, MD PhD2, Timothy Lu, MD1, Alexandre Coimbra, PhD1, and Alex De Crespigny, PhD1

1Genentech Inc, South San Francisco, CA, United States, 2Department of Radiology, Hospital Clínic de Barcelona, IDIBAPS, University of Barcelona, Barcelona, Spain

Parametric mapping may provide estimates of the degree and spatial distribution of fibrosis in Crohn’s Disease (CD) patients but is subject to respiratory and peristaltic motion. Validation of out-of-the-box registration strategies and their impact on quality and robustness of parametric maps-delayed gain of enhancement (DGE) and magnetization transfer ratio (MTR) were evaluated.

1075
9:51
Quantitative IVIM-DWI and DCE-MRI for assessment of bowel inflammation in Crohn’s disease
Stefanie Hectors1, Sonja Gordic1, Octavia Bane1, Joana Torres2, Judy Cho2,3, Jean-Frederic Colombel2, and Bachir Taouli1

1Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 2Division of Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, 3Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States

The aims of this study were to quantify intravoxel incoherent motion DWI (IVIM-DWI) and DCE-MRI metrics and to assess the correlation between IVIM-DWI and DCE-MRI metrics in abnormal and normal appearing bowel segments in Crohn’s disease (CD) patients. ADC was significantly reduced in abnormal vs. normal bowel wall segments. A significant negative correlation between Ktrans (measured with DCE-MRI) and perfusion fraction f (measured with IVIM-DWI) was observed. Our preliminary results suggest that IVIM-DWI could potentially be used for simultaneous assessment of perfusion and diffusion in the bowel wall of CD patients, which needs to be verified in a larger cohort of patients.  

1076
10:03
Inflammatory activity of Crohn's disease: Evaluation by MR T2*mapping without intravenous enhancement
Si yun Huang1, Xue hua Li1, Zhong wei Zhang2, Jin jiang Lin1, Li Huang1, Zhuang nian Fang1, Meng chen Zhang1, Meng jie Jiang3, Hua song Cai1, Margaret H. Pui4, Shi ting Feng1, Can hui Sun3, and Zi ping Li3

1Department of Radiology, The First Affiliated Hospital of Sun Yat-Sen University,Guangzhou, China, Guangzhou, People's Republic of China, 2Department of Biomedical Engineering, Cancer Biology and Radiology, Wake Forest School of Medicine, 3Department of Radiology, Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Stomatology, 4Department of Radiology, Conde de S. Januario Central Hospital, Macau

Crohn's disease (CD) is a chronic relapsing inflammatory bowel disease leading to structurally irreversible bowel damage. The incidence of CD had been increasing in the past century epidemiologically . Accurate evaluation of CD activity is crucial for new therapeutic goals of mucosal healing, preventing bowel damage, limiting disability, and improving quality of life . Although colonoscopy remains the gold standard for assessing CD activity, it is invasive, limited to assessment of the small bowel, and not suitable for continuing monitoring of CD activity . Thus, seeking for alternative noninvasive and accurate approaches to assess CD activity is necessary.


Combined Educational & Scientific Session

Combining Structural and Functional Brain Connectivity

Organizers: Fernando E. Boada, Ph.D. & John D. Port, M.D., Ph.D.

Room 312 Thursday 8:15 - 10:15 Moderators: John Port & Michael Zeineh

8:15
DTI & rsFMR Imaging Acquisition Strategies for Connectivity Analysis
An Vu1

1San Francisco VA Health Care System

The Human Connectome Project (HCP) relies primarily on resting state functional MR imaging (rfMRI) and diffusion MR imaging (dMRI) to generate detailed maps of brain connectivity. Technical improvements and optimization of these methods have enabled significant increases in the spatial and temporal resolutions of fMRI and dMRI at both 3T and 7T. Ongoing technical developments for acquisition will be presented, targeting higher spatial resolution while maintaining adequate SNR and sensitivity to functional signals.

1077
8:45
Dissociation of structural and functional dysconnectivity in first-episode drug-naive schizophrenia
Jieke Liu1, Li Yao1, Wenjing Zhang1, Su Lui1, and Qiyong Gong1

1Radiology, Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, People's Republic of China

Combining DTI and fMRI data sets, the present study revealed the dissociation of structural and functional dysconnectivity in a large cohort of first-episode drug-naive schizophrenia patients.

1078
8:57
Altered effective connectivity of dorsolateral prefrontal cortex in obsessive-compulsive disorder: a Granger causality analysis with resting-state fMRI
Hailong Li1, Xinyu Hu1, Ming Zhou1, Lu Lu1, Lianqing Zhang1, Xiaoxiao Hu1, Xuan Bu1, Xiaoqi Huang1, and Qiyong Gong1

1Huaxi Magnetic Resonance Research Centre(HMRRC),West China Hospital of Sichuan University, Chengdu, People's Republic of China

In current study, we demonstrated the altered effective connectivity between bilateral dorsolateral prefrontal cortex(DLPFC) and other brain regions in obsessive compulsive disorder(OCD) using the Granger causality analysis of resting-state functional MRI. We found that the effective connectivity from the bilateral DLPFC to some brain regions are increased or decreased in OCD ,and DLPFC is the important information flow center. We also observed positive correlations between the abnormal causal effect and clinical symptoms such as obsession. These findings provide insight into OCD-related neural network disorders and may potentially guide clinical diagnosis and treatment of OCD in the future.

1079
9:09
Reduced Functional Network Segregation is Associated with Reduced Structural Network Integration and Cost Pre-Operatively in Neonates with Complex Congenital Heart Disease (CHD)
Vincent Schmithorst1, Vince Lee1, Jodie K. Votava-Smith2, Richard Kim3, Rafael Ceschin4, Shahida Sulaiman1, Hollie Lai5, Jennifer Johnson6, Joan Sanchez De Toledo7, Stefan Bluml5, Lisa Paquette8, and Ashok Panigrahy1

1Radiology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, United States, 2Division of Cardiology, Children's Hospital Los Angeles, 3Division of Pediatric Cardiothoracic Surgery, Children's Hospital Los Angeles, 4Department of Biomedical Informatics, University of Pittsburgh, 5Radiology, Children's Hospital Los Angeles, 6Division of Pediatric Cardiology, University of Pittsburgh School of Medicine, 7Department of Critical Care, University of Pittsburgh School of Medicine, 8Division of Neonatology, Children's Hospital Los Angeles

Neonates with complex congenital heart disease (CHD) pre-operatively show alterations in both structural network topology (as assessed via DTI) and functional network topology (as assessed via rs-fcMRI).  Structurally, decreases in global efficiency, transitivity, and nodal efficiency are driven by decreased network cost and reflect alterations in white matter microstructure such as reduced fiber density.  Functionally, CHD neonates display decreased network segregation in the later-developing frontal and temporal lobes, independent of cost, which likely reflect alterations at a more hierarchical level of architecture.  These results may stem from different etiologies of brain dysmaturation (hypoperfusion vs. genetic factors).

9:21
Connectivity Analysis Methods Optimized to Identify Structural/Functional Brain Connectivity
R. Todd Constable1

1Yale University


1080
9:51
Functional and structural connectivity of the cingulate bundle related to future cognitive performance in MS
Katherine A Koenig1, Erik Beall2, Jian Lin1, Ken Sakaie1, Lael Stone3, Stephen Rao4, Micheal Phillips1, and Mark Lowe1

1Imaging Institute, The Cleveland Clinic, Cleveland, OH, United States, 2HemaImaging, 3Neurological Institute, The Cleveland Clinic, Cleveland, OH, United States, 4Center for Brain Health, The Cleveland Clinic, Cleveland, OH, United States

This work assesses the relationship of resting state fMRI (rs-fMRI) and DTI of the posterior cingulum bundle to future cognitive performance. We find that rs-fMRI is related to performance on measures related to episodic memory, and radial diffusivity is related to performance on a measure of speed of processing.

1081
10:03
A multivariate machine learning framework for psychosis: integrating diffusion and structural MRI
Vasiliki Chatzi1, Rui Pedro A.G.Teixeira2, and Jacques Donald Tournier2

1Psychosis Studies, King's College London, London, United Kingdom, 2Centre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, King's College London

Machine learning is increasingly being used in psychiatric research for patient classification and stratification. Current machine learning approaches are largely univariate with main focus on structural MRI and do not account for the significant white matter connectivity alterations associated with the disorder. With the steady growth of multi-centre multi-modal neuroimaging studies there is a need for multivariate machine learning frameworks that can integrate these different types of information. Here, we propose an automated multivariate machine learning pipeline to integrate state-of-the-art structural and diffusion features, based on well-established widely-available software packages to keep implementation and replication as simple as possible.


Other

Hands-On Workshop: GE Healthcare 1 (repeat)

Room 322AB Thursday 8:15 - 10:15 (no CME credit)


Other

Hands-On Workshop: Philips Healthcare 2 (repeat)

Room 324 Thursday 8:15 - 10:15 (no CME credit)


Plenary Session

Brain at Work: Understanding Neural Circuits Through Advancing Neuroimaging

Organizers: Gregor Adriany, Ph.D., Hanzhang Lu, Ph.D. & Ed X. Wu, Ph.D.

Plenary Hall Thursday 10:45 - 11:45

10:45
Visions of the BRAIN Initiative
Walter Koroshetz

11:05
Imaging at the Level of Neural Circuits
Anna Wang Roe1

1Interdisciplinary Institute of Neuroscience & Technology, Zhejiang University, Hangzhou, People's Republic of China

11:25
Human Brain Mapping: Challenges & Opportunities
Heidi Johansen-Berg1

1University of Oxford, United Kingdom

11:45
Adjournment & Meet the Teachers


Traditional Poster: General Cancer Imaging

Exhibition Hall 2888-2910 Thursday 13:00 - 15:00 (no CME credit)

Traditional Poster: MR Spectroscopy

Exhibition Hall 2931-2965 Thursday 13:00 - 15:00 (no CME credit)

Traditional Poster: Molecular Imaging

Exhibition Hall 3030-3046 Thursday 13:00 - 15:00 (no CME credit)

Electronic Poster: Interventional MRI

Exhibition Hall Thursday 13:00 - 14:00 (no CME credit)

Electronic Poster: MRI Safety

Exhibition Hall Thursday 13:00 - 14:00 (no CME credit)

Electronic Poster: MR Spectroscopy

Exhibition Hall Thursday 13:00 - 14:00 (no CME credit)

Study Groups

Molecular & Cellular Imaging Study Group

Room 323ABC Thursday 13:00 - 15:00 (no CME credit)


Study Groups

MR Flow & Motion Quantitation Study Group

Room 317AB Thursday 13:00 - 15:00 (no CME credit)


Educational Course

Advanced Techniques in Pediatric Neuroimaging

Organizers: Christopher D. Smyser, M.D.

Room 316A Thursday 13:00 - 15:00 Moderators: Silvina Ferradal & Chris Smyser

13:00
Unique Methodological Challenges in Pediatric Neuroimaging
Duan Xu1

1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States

This educational session will introduce and discuss challenges for brain imaging of pediatric subjects.  A brief overview of key differences between the developing brain and adult brain will be discussed.  The presentation will be address logistics of patient handling, image acquisition, post-processing techniques and analyses for improved characterization of the maturing brain.  Translational studies will also be presented to highlight the importance of advancing pediatric brain imaging not only in research but also in clinical care, and further identify the area of needs to spur interests from the audience.

13:30
Structural Insights Using Surface Based & Volumetric Analyses
Patricia Ellen Grant1

1Boston Children's Hospital, United States


14:00
Microstural Investigation Using Diffusion Tensor Imaging
Serena J Counsell1

1Centre for the Developing Brain, King's College London, London


14:30
Functional Assessment Using Resting State Functional MRI
Damien Fair


15:00
Adjournment & Meet the Teachers


Power Pitch

Pitch: Cutting Edge Diffusion

Power Pitch Theater A - Exhibition Hall Thursday 13:00 - 14:00 Moderators: Hua Guo & Markus Nilsson (no CME credit)

1082
13:00
Approaching free intracellular diffusion by diffusion-weighted MRS at ultra-short time scales: initial results in the rodent brain using a 1.5 T/m gradient
Clémence Ligneul1, Marco Palombo1, Julien Flament2, and Julien Valette1

1Molecular Imaging Research Center (MIRCen), Commissariat à l'Energie Atomique, Fontenay-aux-Roses, France, 2UMS 27, INSERM, Fontenay-aux-Roses, France

1083
13:00
Accurate estimation of intra-axonal diffusivity and anisotropy of NAA in humans at 7T
Henrik Lundell1, Carson Ingo2, Tim Bjørn Dyrby1,3, and Itamar Ronen4

1Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Copenhagen, Denmark, 2Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, United States, 3Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark, 4C. J. Gorter Center for High Field MRI, Department of Radiology, Leiden University Medical Center, Leiden, Denmark

1084
13:00
Glutamate diffusion at high b-values in the rat brain in vivo under light and deep anesthesia conditions
Xi Chen1, Siddartha Moktan Tamang1, Fei Du1, and Dost Ongur1

1McLean Hospital, Belmont, MA, United States

1085
13:00
Bias in the apparent exchange rate measurements: insight from numerical simulations
Patricia Ulloa1, Vincent Methot1, and Martin A. Koch1

1University of Lübeck, Lübeck, Germany

1086
13:00
Microscopic anisotropy with spectrally modulated q-space trajectory encoding
Henrik Lundell1, Markus Nilsson2, Tim Bjørn Dyrby1,3, Geoff JM Parker4,5, Penny L Hubbard Cristinacce4, Fenglei Zhou4, Daniel Topgaard6, and Samo Lasic1,7

1Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark, 2Clinical Sciences Lund, Radiology, Lund University, Lund, Sweden, 34. Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark, 4Centre for Imaging Sciences, The University of Manchester, Manchester, United Kingdom, 5Bioxydyn Limited, Manchester, United Kingdom, 6Division of Physical Chemistry, Department of Chemistry, Lund University, Lund, Sweden, 7CR Development AB, Lund, Sweden

1087
13:00
Can we detect the effect of spines, leaflets and beads on the diffusion of brain intracellular metabolites? A confrontation between high b-values and high-frequencies diffusion-weighted MRS in the mouse brain in vivo.
Marco Palombo1, Clemence Ligneul1, Edwin Hernandez-Garzon1, and Julien Valette1

1Molecular Imaging Research Center (MIRCen), Commissariat à l'Energie Atomique, Fontenay-aux-Roses, France

1088
13:00
Diffusion MRI of axonal degeneration in areas of fiber crossing: Histological correspondence.
Luis Concha1, Jorge Larriva-Sahd1, Gilberto Rojas-Vite1, Ramsés Noguez-Imm1, Ricardo Coronado-Leija2, Alonso Ramírez-Manzanares2, and José Luis Marroquín2

1Institute of Neurobiology, Universidad Nacional Autonoma de Mexico, Queretaro, Mexico, 2Computer Science, Centro de Investigación en Matemáticas, Guanajuato, Mexico

1089
13:00
Diffusion anisotropy in breast cancer tissue corresponds to spatial patterns of collagen alignment from structure tensor analysis of histology
Colleen Bailey1, Francesco Grussu2, Bernard Siow3,4, Thomy Mertzanidou1, John H Hipwell1, Julie Owen5, Patrycja Gazinska5, Sarah E Pinder5, Daniel C Alexander1, David J Hawkes1, and Eleftheria Panagiotaki1

1Centre for Medical Image Computing, University College London, London, United Kingdom, 2Institute of Neurology, University College London, London, United Kingdom, 3Centre for Advianced Biomedical Imaging, University College London, London, United Kingdom, 4Imaging, Francis Crick Insitute, London, United Kingdom, 5Breast Research Pathology, King's College London and Guy's Hospital, London, United Kingdom

1090
13:00
A 3D electron microscopy segmentation pipeline for hyper-realistic diffusion simulations
Michiel Kleinnijenhuis1, Errin Johnson2, Jeroen Mollink1,3, Saad Jbabdi1, and Karla Miller1

1Oxford Centre for Functional MRI of the Brain, University of Oxford, Oxford, United Kingdom, 2Sir William Dunn School of Pathology, University of Oxford, Oxford, United Kingdom, 3Department of Anatomy, Donders Institute for Brain, Cognition & Behaviour, Radboud University Medical Center, Nijmegen, Netherlands

1091
13:00
Rotationally invariant mapping of microstructural and orientational neuronal tissue parameters in human brain
Dmitry S Novikov1, Jelle Veraart1, Ileana O Jelescu1, and Els Fieremans1

1Radiology, NYU School of Medicine, New York, NY, United States

1092
13:00
Isotropic Diffusion Weighted MRI (IDWI) – a novel, efficient clinical method for quantifying orientationally-averaged features of water diffusion in tissues
Alexandru Vlad Avram1, Joelle Sarlls2, Elizabeth Hutchinson3, and Peter Basser3

1NIBIB, National Institutes of Health, Bethesda, MD, United States, 2NINDS, National Institutes of Health, Bethesda, MD, United States, 3NICHD, National Institutes of Health, Bethesda, MD, United States

1093
13:00
Diffusion MRI differentiated acute inflammation from axonal injury but missed axonal loss
Tsen-Hsuan (Abby) Lin1, Michael Wallendorf2, Peng Sun1, and Sheng-Kwei Song1,3,4

1Radiology, Washington University School of Medicine, St. Louis, MO, United States, 2Biostatistics, Washington University School of Medicine, St. Louis, MO, United States, 3The Hope Center for Neurological Disorders, Washington University School of Medicine, St. Louis, MO, United States, 4Biomedical Engineering, Washington University in St. Louis, St. Louis, MO

1094
13:00
Three-Dimensional Multiplexed Sensitivity Encoding and Reconstruction (3D-MUSER): 3D Phase Correction for 3D Multi-shot DWI
Hing-Chiu Chang1, Edward S. Hui1,2, Xiaoxi Liu1, Pui-Wai Chiu1, and Nan-kuei Chen3,4

1Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, Hong Kong, 2The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, 3Department of Biomedical Engineering, University of Arizona, Tucson, AZ, United States, 4Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, United States

1095
13:00
Visualizing Axonal Damage in Multiple Sclerosis Using Double Diffusion Encoding MRI in a Clinical Setting
Grant Kaijuin Yang1,2, Qiyuan Tian1,2, Christoph Leuze2, Max Wintermark2, and Jennifer McNab2

1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States

1096
13:00
Accelerated Diffusion-Sensitized MR Imaging of the Eye and Orbit at 3.0 T and 7.0 T free of Geometric Distortions Using a Combined RARE-EPI Acquisition Technique
Katharina Paul1, Helmar Waiczies2, André Kuehne2, Till Huelnhagen1, Eva Oberacker1, Oliver Stachs3, and Thoralf Niendorf1,2,4

1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2MRI.TOOLS GmbH, Berlin, Germany, 3Department of Ophthalmology, University of Rostock, Rostock, Germany, 4Experimental and Clinical Research Center (ECRC), a joint cooperation between the Charité Medical Faculty and the Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany


Power Pitch

Pitch: Emerging Neuroimaging Techniques

Power Pitch Theater B - Exhibition Hall Thursday 13:00 - 14:00 Moderators: Peter Bandettini & Jennifer McNab (no CME credit)

1097
13:00
Characterization of White Matter Tortuosity using High-Resolution gSlider-SMS Diffusion Imaging
Choukri Mekkaoui1, Marcel P Jackowski2, Kawin Setsompop1, Qiuyun Fan1, Ned A Ohringer1, William J Kostis3, Timothy G Reese1, Alexandra J Golby4, and Susie Y Huang1

1Harvard Medical School - Massachusetts General Hospital, Boston, MA, United States, 2University of São Paulo, São Paulo, Brazil, 3Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, United States, 4Brigham and Women's Hospital, Harvard Medical, Boston, MA, United States

1098
13:00
In Vivo Characterization of an Ultrashort-T2 Component in the Brain Reveals a Chemical Shift
Peder Eric Zufall Larson1, Tanguy Boucneau2, Shuyu Tang1, Misung Han1, Peng Cao1, and Roland G Henry3

1Radiology and Biomedical Imaging, University of California - San Francisco, San Francisco, CA, United States, 2Ecole normale supérieure de Cachan, Paris, France, 3Neurology, University of California - San Francisco, San Francisco, CA, United States

1099
13:00
Improved Differentiation of Low- and High-Grade Gliomas by APT Contrast Fitted from Z-Spectrum
Jiaxuan Zhang1,2, Rongwen Tain1,3, Xiaohong Joe Zhou1,4, Wenzhen Zhu2, and Kejia Cai1,5

1Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 2Department of Radiology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, People's Republic of China, 3Department of Radiology, University of Illinois at Chicago, Chicago, IL, United States, 4Departments of Radiology, Neurosurgery, and Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 5Departments of Radiology and Bioengineering, University of Illinois at Chicago, Chicago, IL, United States

1100
13:00
3T 1H PRESS (TE 68 ms) reveals elevated cerebral glucose in patients with diabetes mellitus type 2, which is associated with fasting blood glucose
Frank C.G. van Bussel1, Tamar M van Veenendaal1, Miranda T Schram2, Coen D.A. Stehouwer2, Walter H Backes1, and Jacobus F.A. Jansen1

1Radiology, Maastricht University Medical Center, Maastricht, Netherlands, 2Internal Medicine, Maastricht University Medical Center, Maastricht, Netherlands

1101
13:00
Towards opto-fMRS:  Ultra high field MRS measurement of T2* changes due to optogenetic stimulation
Jamie Near1,2, Dan Madularu1,2, Jennifer Robinson3, Chathura Kumaragamage4, Axel Mathieu2, Sylvain Williams1,2, M Natasha Rajah1,2, and Uzay Emir5

1Department of Psychiatry, McGill University, Montreal, QC, Canada, 2Centre d'Imagerie Cérébrale, Douglas Mental Health University Institute, Montreal, QC, Canada, 3Integrated Program in Neuroscience, McGill University, Montreal, QC, Canada, 4Biomedical Engineering, McGill University, Montreal, QC, Canada, 5Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom

1102
13:00
Glycine, a marker of survival in paediatric brain tumours measured with non-invasive Magnetic Resonance Spectroscopy: A five-year survival analysis.
Ben Babourina-Brooks1, Sarah Kohe1, Simrandip K Gill1, Martin Wilson2, Lesley Macpherson3, Nigel P Davies4, and Andrew C Peet1,3

1University of Birmingham, Birmingham, United Kingdom, 2Birmingham University Imaging Centre, University of Birmingham, Birmingham, United Kingdom, 3Birmingham Children's Hospital NHS Foundation Trust, Birmingham, United Kingdom, 4Imaging & Medical Physics, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom

1103
13:00
About the complementarity of gluCEST and 1H-MRS for the study of neurodegenerative diseases using animal models
Jérémy Pépin1, Clémence Ligneul1, Julien Valette1, Emmanuel Brouillet1, and Julien Flament1,2

1Molecular Imaging Research Center (MIRCen), Commissariat à l’Energie Atomique (CEA), Fontenay-aux-Roses, France, 2UMS27, INSERM, Fontenay-aux-Roses, France

1104
13:00
A "Glycolytic Index" for quantifying abnormal metabolism in human gliomas using multi-echo amine chemical exchange saturation transfer spin-and-gradient echo echoplanar imaging (ME-aCEST-SAGE-EPI) at 3T
Robert J Harris1, Kevin Leu, Timothy F Cloughesy, Whitney B Pope, Phioanh L Nghiemphu, Albert Lai, Linda M Liau, and Benjamin M Ellingson2

1University of California Los Angeles, Los Angeles, CA, United States, 2Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States

1105
13:00
Qualitative and quantitative analysis of amide proton transfer-weighted MR images at 3 Tesla of adult gliomas
Xianlong Wang1, Hao Yu2, Shanshan Jiang2, Yu Wang3, Yanyu Wang2, Ge Zhang4, Chunxiu Jiang2, Guodong Song5, Yi Zhang6, Hye-Young Heo6, Jinyuan Zhou6, and Zhibo Wen2

1Radiology, Zhujiang Hospital of Southern Medical University, Guangzhou, People's Republic of China, 2Radiology, Zhujiang Hospital of Southern Medical University, 3Pathology, Zhujiang Hospital of Southern Medical University, 4Radiology, Hainan General Hospital, 5Radiology, Beijing Hospital, 6Radiology, Johns Hopkins University

1106
13:00
Cerebral Sodium (23Na) Magnetic Resonance Imaging in Patients with Migraine
Melissa M Ong1, Alexander Schmidt1, Simon Konstandin2, Justus Benrath3, Mathias Meyer1, Lothar R Schad4, Stefan O Schoenberg1, and Stefan Haneder1,5

1Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, University of Heidelberg, Mannheim, Germany, 2University of Bremen, MR-Imaging and Spectroscopy, Faculty 01 (Physics/Electrical Engineering), Bremen, Germany, 3Clinic for Anaesthesiology and Operative Intensive Care, University Medical Center Mannheim, University of Heidelberg, Mannheim, Germany, 4Computer Assisted Clinical Medicine, University Medical Center Mannheim, University of Heidelberg, Mannheim, Germany, 5Institute of Diagnostic and Interventional Radiology, University Hospital Cologne, Cologne, Germany

1107
13:00
Differentiating subtypes of multiple sclerosis lesions using sodium MR imaging
Yulin Ge1, Yongxian Qian, Jean-Christophe Brisset, and Fernando E Boada

1New York University School of Medicine, New York, NY, United States

1108
13:00
Imaging of the Brachial Plexus using a 3D Dixon-TSE Pulse Sequence with Blood Vessel and CSF Signal Suppression: Preliminary Experience in Children
Barbara Cervantes1, Amber L. Pokorney2, Jan S. Kirschke3, Patricia Cornejo2, Jeffrey H. Miller2, Dimitrios C. Karampinos1, and Houchun Harry Hu2

1Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technische Universitat Munchen, Munich, Germany, 2Department of Radiology, Phoenix Children's Hospital, Phoenix, AZ, United States, 3Department of Neuroradiology, Klinikum rechts der Isar, Technische Universitat Munchen, Munich, Germany

1109
13:00
Diffusion-Tensor-Imaging MR-Neurography for the detection of polyneuropathy in Type 1 diabetes
Michael Vaeggemose1, Mirko Pham2, Steffen Ringgaard3, Hatice Tankisi4, Niels Ejskjaer1, Sabine Heiland5, Per L. Poulsen6, and Henning Andersen1

1Dept. of Neurology, Aarhus University Hospital, Aarhus C, Denmark, 2Dept. of Neuroradiology, Würzburg University Hospital, Würzburg, Germany, 3MR Research Centre, Aarhus University Hospital, Aarhus N, Denmark, 4Dept. of Neurophysiology, Aarhus University Hospital, Aarhus C, Denmark, 5Heidelberg University Hospital, Heidelberg, Germany, 6Dept. of Endocrinology, Aarhus University Hospital, Aarhus C, Denmark

1110
13:00
Optimal quantitative mapping of Cerabral Metabolic Rate of Oxygen (CMRO2) by combining quantitative susceptibility mapping (QSM)-based method and quantitative BOLD (qBOLD)
Junghun Cho1, Youngwook Kee2, Pascal Spincemaille2, Thanh Nguyen2, Jingwei Zhang1, and Yi Wang1,2

1Cornell University, Ithaca, NY, United States, 2Weill Cornell Medical College, New York, NY, United States

1111
13:00
Asynchronous Local Analysis of simultaneous BOLD ASL Multislice Acquisition (ALABAMA): Toward Whole-Brain Noninvasive Estimation of Resting-State Neuronal-Vascular Coupling
Vincent Schmithorst1, Vince Lee1, and Ashok Panigrahy1

1Radiology, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA, United States


Oral

Cancer Treatment Response

Room 310 Thursday 13:00 - 15:00 Moderators: Ferdia Gallagher & Jana Kim

1112
13:00
Eigentumors of dynamic contrast-enhanced MR images of the breast for prediction of treatment failure
Hui Shan Chan1, Claudette Loo2, and Kenneth Gilhuijs1

1Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands, 2Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Amsterdam, Netherlands

A method is proposed for predicting long-term treatment failure using “eigentumors”: principal components computed from volumes surrounding breast tumors in contrast-enhanced images. The dataset contains pre-treatment scans of 563 consecutively included patients with early-stage breast cancer with median follow-up of 86 months. Principal components of washin and washout in box-shaped regions surrounding the tumors were computed, and LASSO and logistic regression were used to construct a model for predicting the probability of treatment failure. ROC analysis yields a bootstrapped performance of 0.73, and bootstrapped Kaplan-Meier survival curves based on the model’s outcome show significant separation (χ=32.89, P < 0.0001).

1113
13:12
Radiomic Analysis Differentiates between True Progression and Pseudo-progression in Glioblastoma patients: A Large Scale Multi-institutional Study
Aikaterini Kotrotsou1, Srishti Abrol1, Nabil A Elshafeey1, Islam Hassan1, Dunia Giniebra Camejo2, Ahmed Hassan1, Tagwa Idris1, Ahmed Salem1, Kamel El Salek1, Ahmed Elakkad1, Kristin D Alfaro-Munoz3, Shiao-Pei Weathers3, Fanny E Moron4, John F deGroot3, Meng Law5, Pascal O Zinn6, and Rivka R Colen1,2

1Diagnostic Radiology, MD Anderson Cancer Center, Houston, TX, United States, 2Cancer Systems Imaging, MD Anderson Cancer Center, Houston, TX, United States, 3Neuro-Oncology, MD Anderson Cancer Center, Houston, TX, United States, 4Neuroradiology, Baylor College of Medicine, Houston, TX, United States, 5Neuroradiology, University of Southern California Keck Medical Center, Los Angeles, CA, United States, 6Neurosurgery, Baylor College of Medicine, Houston, TX, United States

The benign treatment-related imaging changes may pose a challenge in appropriate clinical decision making for the neuro-oncologists. The post-treatment changes are usually benign and differ largely in management approach from a progressive tumor. In this study, 304 glioblastoma patients were evaluated retrospectively to study the ability of radiomic analysis to distinguish the post-treatment changes from a truly progressive disease. 3D volumetrics using 3D Slicer 4.3.1 and texture analysis of the lesions were performed. On LOOCV, sensitivity and specificity of 97% and 72% were obtained respectively. We concluded that radiomics can differentiate between the progressive disease and pseudo-progression in glioblastoma patients.

1114
13:24
Supervised machine-learning enables segmentation and evaluation of heterogeneous post-treatment changes in multi-parametric MRI of soft-tissue sarcoma
Matthew David Blackledge1,2, Jessica M Winfield1,2, Aisha Miah3, Dirk Strauss4, Khin Thway5, Veronica A Morgan1,2, David J Collins1,2, Dow-Mu Koh1,2, Martin O Leach1,2, and Christina Messiou1,2

1Cancer Research UK Cancer Imaging Centre, The Institute of Cancer Research, London, United Kingdom, 2MRI Unit, The Royal Marsden NHS Foundation Trust, Sutton, United Kingdom, 3Department of Radiotherapy, The Royal Marsden NHS Foundation Trust, London, United Kingdom, 4Department of Surgery, The Royal Marsden NHS Foundation Trust, London, United Kingdom, 5Department of Histopathology, The Royal Marsden NHS Foundation Trust, London, United Kingdom

Multi-parametric MRI enables non-invasive response assessment in heterogeneous soft-tissue sarcomas, but evaluation of post-treatment changes in MRI parameters requires segmentation of cellular tumour-tissue, which might be expected to respond to treatment, from necrotic/cystic regions and fat. Six supervised Machine-Learning methods were explored using a randomized cross-validation approach, from which a candidate method (automatic Kernel Density Estimation) was selected owing to its high validation accuracy and automatic selection of hyper-parameters. The automatic-KDE method enabled evaluation of post-radiotherapy changes in volumes and ADCs of each tumour component, and provided visual depiction of heterogeneous changes in multi-parametric MR-images.

1115
13:36
Hyperpolarized 13C Dynamic Breath-held Molecular Imaging to Detect Targeted Therapy Response in Patients with Liver Metastases
Zihan Zhu1,2, Irene Marco-Rius3, Michael A Ohliger1, Lucas Carvajal1, Jeremy W Gordon1, Hsin-Yu Chen1,2, Ilwoo Park1, Peng Cao1, Peter J Shin1, Eugene Milshteyn1,2, Cornelius von Morze1, Marcus Ferrone4, James B Slater1, Zhen Wang1, Peder E.Z. Larson1, Rahul Aggarwal5, Robert Bok1, John Kurhanewicz1, Pamela Munster5, and Daniel B Vigneron1

1Department of Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 2UC Berkeley-UCSF Graduate Program in Bioengineering, UC Berkeley and UCSF, San Francisco, CA, United States, 3University of Cambridge, United Kingdom, 4Department of Clinical Pharmacy, UCSF, San Francisco, CA, United States, 5Department of Medicine, UCSF, San Francisco, CA, United States

New clinical trials are using hyperpolarized 13C molecular imaging technology to evaluate tumor metabolic activity and response to targeted drug therapies. The goal of this work was to develop and apply an experimental setup for HP 13C MR investigations of cancer metastases to liver. In this study, patients with liver metastases were imaged and the results demonstrated sufficient SNR and data quality for the quantification of the localized conversion rate of [1-13C]pyruvate to [1-13C]lactate through lactate dehydrogenase (LDH), which is a pathway targeted by numerous emerging pharmaceutical agents and currently prescribed Everolimus.

1116
13:48
Assessing Response Heterogeneity following Radium 223 administration using Whole Body Diffusion Weighted MRI
Matthew David Blackledge1,2, Dow Mu Koh1,2, David J Collins1,2, Erica Scurr2, Julie Hughes2, Martin O Leach1,2, Chris Parker1,3, and Nina Tunariu1,2

1Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, United Kingdom, 2MRI Unit, The Royal Marsden NHS Foundation Trust, Sutton, United Kingdom, 3Urology Department, The Royal Marsden NHS Foundation Trust, Sutton, United Kingdom

Whole-Body Diffusion-Weighted-MRI is emerging as an imaging response biomarker in metastatic bone disease. Documentation of mixed therapeutic response is a key recommendation of the Prostate Cancer Working Group as recognition of coexistence of mixed response to therapy and clinical benefit. Radium-223 has shown efficacy in prostate cancer patients with symptomatic bone metastases. Monitoring Radium-223 therapy efficacy treatment is challenging, as Radium-223 administration can be associated with flare in pain, PSA and Bone Scan. These pilot data demonstrate that Radium-223 administration is associated with an increase in bone metastases ADC values together with a mixed response pattern.

1117
14:00
Whole-Body Diffusion-Weighted Imaging at 1.5T for assessment of treatment response in non-Hodgkin lymphoma
Xiaoyi Wang1, Yanfeng Zhao1, Ning Wu1, Han Ouyang1, and Lizhi Xie2

1National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China, 2GE Healthcare, MR Research China, BeiJing, People's Republic of China

The diagnostic capability between WBDWI with contrast enhanced CT was compared in malignant lymphoma diagnosis. We found that WBDWI is a powerful tool on diagnosing non-Hodgkin(NHL) lymphoma by comparing with contrast enhanced CT. Chemotherapy causes rapid decrease of the restriction of water molecules diffusion movement, ADC-min could be valuable tools for treatment response evaluation of NHL. We recommended WBDWI examination for patients with NHL.

1118
14:12
Intravoxel incoherent motion diffusion-weighted MRI during chemoradiation therapy to monitor treatment response in human papillomavirus head and neck squamous cell carcinoma
Ramesh Paudyal1, Jung Hun Oh1, Nadeem Riaz2, Praveen Venigalla2, Jingao Li3, Vaios Hatzoglou4, Jonathan Leeman2, David Aramburu Nunez1, Yonggang Lu5, Joseph O. Deasy1, Nancy Lee2, and Amita Shukla-Dave1,4

1Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Radiation Oncology, Memorial Sloan Kettering Cancer Center, NY, United States, 3Radiation Oncology, Jiangxi Cancer Hospital, Chile, 4Radiology, Memorial Sloan Kettering Cancer Center, NY, United States, 5Radiation Oncology, Washington University in St. Louis, MO, United States

This study aims to monitor treatment response in human papillomavirus (HPV) head and neck squamous cell carcinoma using pre- and intra-treatment (TX) week 1, 2 and 3 imaging metrics derived from intravoxel incoherent motion (IVIM) DW-MRI. An unsupervised hierarchical clustering with a distance based on the Pearson correlation coefficient was performed using the relative percentage changes in D, f and D* to investigate similarities among features and samples. D showed a significant increase during treatment in complete response (CR) group. A heat map generated from the unsupervised hierarchical clustering identified subtypes in HPV positive [+] HNSCC patients. 

1119
14:24
Multiparametric MRI with spatiotemporal evaluation reveals potential therapy response biomarkers for 177Lu-octreotate therapy of mice with human neuroendocrine tumor
Mikael Montelius1, Johan Spetz1, Oscar Gustafsson1, Evelin Berger2, Ola Nilsson3, Maria Ljungberg1, and Eva Forssell-Aronsson1

1Department of Radiation Physics, University of Gothenburg, Gothenburg, Sweden, 2Proteomics Core Facility, University of Gothenburg, Gothenburg, Sweden, 3Department of Pathology, University of Gothenburg, Gothenburg, Sweden

Tissue parameters derived from multiparametric MRI were evaluated as potential imaging biomarkers for therapy response assessment in mice with human neuroendocrine tumor treated with 177Lu-octreotate. Animals were imaged before and repeatedly after 177Lu-octreotate treatment, using T2w, IVIM-DWI, DCE-MRI, T1- and T2*-mapping techniques. MR-parameters were evaluated regionally and longitudinally, and quantitative proteomics was used to evaluate underlying biological response in central and peripheral tumor separately. Several MR-parameters showed strong correlation with tumor response, as verified by MRI-based tumor volume measurements, but also with proteins associated with radiobiological effects on tumor tissue. Spatial and temporal evaluation increased sensitivity of the methods.

1120
14:36
Irradiated Brain Parenchyma Promotes Virulent Proliferation of Naive Glioma Cells: Mouse Model of Recurrent Glioblastoma
Chong Duan1, Ruimeng Yang2,3, Liya Yuan4, John A Engelbach2, Sonika Dahiya5, Christina I Tsien6, Keith Rich4, Joseph JH Ackerman1,2, and Joel R Garbow2,7

1Chemistry, Washington University in St. Louis, St. Louis, MO, United States, 2Radiology, Washington University in St. Louis, St. Louis, MO, United States, 3Radiology, Guangzhou First People's Hospital, Guangzhou, People's Republic of China, 4Neurosurgery, Washington University in St. Louis, St. Louis, MO, United States, 5Pathology and Immunology, Washington University in St. Louis, St. Louis, MO, United States, 6Radiation Oncology, Washington University in St. Louis, St. Louis, MO, United States, 7Alvin J Siteman Cancer Center, Washington University in St. Louis

For many years, research on recurrent glioblastoma has largely focused on therapy-induced cancer-cell changes. Herein, we show that gliomas resulting from naïve, non-irradiated DBT tumor cells implanted into irradiated mouse brains grow more rapidly than tumors resulting from naïve DBT cells implanted into non-irradiated mouse brains. Likewise, survival post-implantation is reduced, and MRI and histology document striking differences between naïve tumors implanted in irradiated vs. non-irradiated brain. Collectively, these data provide new insights into the enhanced invasiveness of recurrent gliomas and, importantly, demonstrate a novel recurrent glioblastoma model for further investigation of the long-term effects of radiotherapy on tumor microenvironment.

1121
14:48
Assessing Metabolic Intervention in Acute Myeloid Leukemia with a Glutaminase Inhibitor by Hyperpolarized Magnetic Resonance
Niki Zacharias Millward 1,2, Sriram Shanmugavelandy1, Jaehyuk Lee 1, Natalia Baran3, Juliana Velez3, Prasanta Dutta 1, Marina Konopleva 3, and Pratip Bhattacharya1

1Cancer Systems Imaging, MD Anderson Cancer Center, Houston, TX, United States, 2Bioengineering, Rice University, Houston, TX, 3Leukemia, MD Anderson Cancer Center, Houston, TX, United States

Acute myeloid leukemia (AML) is glutamine addicted cancer.  We determined if hyperpolarized pyruvate could be utilized to detect in vivo metabolic changes in AML (OCI-AML3 cell line) bearing mice after CB839 (glutaminase inhibitor) treatment.  We found a reduction of pyruvate to lactate conversion after treatment.  In vitro analysis of OCI-AML3 reveal that NADH/NAD+ ratio, ATP, hydrogen peroxide levels and respiratory capacity reduce in CB839 treated cells compared to vehicle controls.  Our data supports the hypothesis that in AML glutamine generates reducing equivalences by the citric acid cycle and inhibiting this process with CB839 reduces the rate of conversion of pyruvate to lactate.


Oral

UHF Applications & Technology

Room 311 Thursday 13:00 - 15:00 Moderators: Özlem Ipek & Benedikt Poser

1122
13:00
Homogeneous high-flip-angle 3D localization by parallel transmission at 9.4T
Tingting Shao1, Yun Zhang2, Nikolai I. Avdievich1, Christian Mirkes1, Klaus Scheffler1, Steffen Glaser2, and Anke Henning1,3

1Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2Department of Chemistry, Technical University of Munich, Garching, Germany, 3Institute of Physics, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany

This work presents in vivo experimental result of high-flip-angle multi-dimensional parallel transmission at a 9.4T human whole-body MRI scanner. A 2D pTx saturation pulse (90°) and a slice selective 3D pTx excitation pulse (60°) were designed by using an algorithm that combines LSQR and optimal control (OC) methods and enables high-flip-angle pTx pulse design with a strict constraint of transmit power. An actual flip angle imaging (AFI) sequence was coded to measure the flip angle map of the pre-saturated slice excitation profile achieved by the sequentially implemented pTx pulses.

1123
13:12
High Resolution Multi-shot Diffusion Imaging at 7T without Navigators
Merry Mani1, Mathews Jacob2, Baolian Yang3, and Vincent Magnotta2

1Department of Radiology, University of Iowa, Iowa City, IA, United States, 2University of Iowa, Iowa City, IA, United States, 3GE Healthcare

The higher signal-to-noise ratio (SNR) offered by the ultra-high field (UHF) strengths are often exploited to improve the spatial resolution capabilities of several MR imaging modalities. However, SNR advantage of UHF scanners do not often translate to improved diffusion weighted images (DWIs), especially using conventional single-shot echo-planar imaging-based acquisitions. The presence of diffusion gradients limit the lowest echo-time (TE) achievable, while the shortened T2 and T2* values lead to faster decay of the MRI signal, both of which are detrimental to the already signal-starved DWIs. We propose a short-TE acquisition based on multi-shot EPI and partial Fourier acquisition to enable high resolution diffusion imaging at 7T that does not need navigator scans or phase calibration.

1124
13:24
Initial experiences with a fully-removable whole-body birdcage transmit coil and 16-element receive array for cardiac 31P-MRS at 7T
Ladislav Valkovic1, Iulius Dragonu2, Karsten Wicklow2, Ulrich Joerg Fontius2, Salam Almujayyaz3, Alex Batzakis3, Liam Young1, Lucian AB Purvis1, William T Clarke1, Tobias Wichmann4, Titus Lanz4, Stefan Neubauer1, Matthew D Robson1, Dennis WJ Klomp3,5, and Christopher T Rodgers1

1Oxford Centre for Clinical MR Research (OCMR), RDM Cardiovascular Medicine, University of Oxford, Oxford, United Kingdom, 2Siemens Healthcare GmbH, Erlangen, Germany, 3MR Coils BV, Zaltbommel, Netherlands, 4Rapid Biomedical GmbH, Rimpar, Germany, 5Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands

This abstract describes our experiences implementing a volume transmit, local receive setup for cardiac 31P-MRS on a Siemens research 7T MRI scanner. Two strands of development work have been performed in tandem: (i) development of a fully removable whole-body transmit RF-coil and testing with the standard 8kW RFPA and SAR monitoring and combined with a 16ch receive array, and (ii) integration of a 35kW RF power amplifier, a new energy chain, and adapted SAR monitoring.

1125
13:36
Abdominal Imaging with Heterogeneous Radiofrequency Fields at 7 Tesla
Martijn A Cloos1,2, Jan Paška1,2, Zidan Yu1,2,3, Jakob Assländer1,2, Tiejun Zhao1,2,4, Riccardo Lattanzi1,2,3, Graham C Wiggins1,2, and Daniel K Sodickson1,2,3

1Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States, 2Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, United States, 3The Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, NY, United States, 4Siemens Medical Solutions USA, Inc., Siemens Healthineers, New York, NY, United States

Body imaging using ultra-high field systems operating at 7T or more is extremely challenging due to the non-uniformities in the excitation field. Traditionally, these field variations are seen as a nuance that must be calibrated out, leading to a formidable engineering challenge. Recently, a new paradigm was proposed which deliberately interweaves multiple uncalibrated non-uniform RF fields into the scan. In this work we demonstrate these principles in-vivo and show that it is possible to obtain artifact free cross-sectional quantitative maps of the abdomen at 7T across a variety of different subject sizes without the need for any specific calibrations.

1126
13:48
An 8/15-Channel Tx/Rx Head Neck RF Coil Combination with Semi-Dynamic B1 Shimming for Improved fMRI of the Cerebellum at 7 T
Viktor Pfaffenrot1,2, Sascha Brunheim1,2, Stefan H.G. Rietsch1,2, Thomas M. Ernst1,3, Oliver Kraff1, Stephan Orzada1, and Harald H. Quick1,2

1Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany, 2High Field and Hybrid MR Imaging, University Hospital Essen, Essen, Germany, 3Department of Neurology, University Hospital Essen, Essen, Germany

Functional MRI of the human cerebellum is challenging at ultrahigh fields, since conventional RF head coils hardly cover the cerebellum with sufficient signal-to-noise ratio and B1+-inhomogeneities introduce challenges. In order to overcome these problems, a coil combination consisting of an 8ch transceiver head coil and a 7ch receive only array are combined to improve imaging of the whole brain with special focus on the cerebellum. A ‘semi-dynamic’ B1+-shimming technique is introduced which provides a tSNR-gain of 29 % and voxels with higher significance in a finger tapping fMRI experiment when comparing the coil combination to a 32ch receive head coil.

1127
14:00
Panning for Salt: One Millimeter Resolution In Vivo Sodium MRI of the Human Eye at 7.0 Tesla Using a Six Channel Transceiver Array
Daniel Wenz1, Oliver Weinberger1, Andre Kuehne2, Helmar Waiczies2, Armin Nagel3,4, Celal Oezerdem1, Till Huelnhagen1, Darius Lysiak2, Lukas Winter1, Oliver Stachs5, Soenke Langner6, Erdmann Seeliger7, Bert Flemming7, and Thoralf Niendorf1,8

1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany, 2MRI.TOOLS GmbH, Berlin, Germany, 3Institute of Radiology, University Hospital Erlangen, Erlangen, Germany, 4Division of Medical Physics in Radiology, German Cancer Research Centre (DKFZ), Heidelberg, Germany, 5Department of Ophthalmology, University of Rostock, Rostock, Germany, 6Institute for Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany, 7Institute for Physiology, Charité University Medicine, Berlin, Germany, 8Experimental and Clinical Research Center, a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine in the Helmholtz Association

Sodium quantification in the eye may be a valuable aid not only in diagnosis of ocular diseases, but in follow-up after proton therapy of eye tumors. Recognizing this potential, this is the first report on high fidelity in vivo sodium (23Na) MRI of the human eye at 7.0 Tesla. To achieve this goal a six-channel 23Na transceiver array was designed, simulated, built and validated in phantoms. The in vivo studies demonstrated the feasibility of 1 mm isotropic spatial resolution 23Na MRI of the eye and provided encouragement for clinical studies.

1128
14:12
High dielectric constant (HDC) disk dipoles for 10.5T imaging
Russell L Lagore1, Lance DelaBarre1, Qing X Yang2, Michael Lanagan3, Yigitcan Eryaman1, Sebastian Rupprecht2, Wei Luo3, Byeong-Yeul Lee1, Xiao-Hong Zhu1, Kamil Ugurbil1, Wei Chen1, and Gregor Adriany1

1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 2Center of NMR Research, Department of Radiology and Neurosurgery, Penn State College of Medicine, University Park, PA, United States, 3Materials Science and Engineering, Pennsylvania State University, University Park, PA, United States

A small coil element is developed for 10.5T imaging by affixing an end-loaded 82mm long dipole to a high dielectric constant (HDC) flat disk. This coil element produces localized but very high B1 fields similar to a loop of a similar diameter without suffering from diverging B1+ and B1- that loops experience at high field. Furthermore, these elements are inherently highly decoupled in all possible spatial configurations, making them well suited to use in large, densely packed transmit arrays.

1129
14:24
Lighter is better: A Flexible Lightweight Eight Channel Slot Antenna Array for Cardiac MRI at 7.0 Tesla
Celal Oezerdem1, Till Huelnhagen1, Andre Kuehne2, Daniel Wenz1, Jason Millward1, Lukas Winter1, and Thoralf Niendorf1,3,4

1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2MRI.TOOLS GmbH, Berlin, Germany, 3Experimental and Clinical Research Center (ECRC), a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine in the Helmholtz Assosciation, Berlin, Germany, 4DZHK (German Centre for Cardiovascular Research, partner site Berlin, Germany

The wave length in tissue at ultrahigh fields allows for practical realization of RF antenna architectures such as dipole elements, high dielectric resonators and slot antennae. This work presents a novel flexible eight channel slot antenna array customized for cardiac MRI at 7.0 T. The proposed array is lightweight, easy to build, and affords a tight fit for a broad range of upper torso geometries while ensuring good matching and tuning. The in vivo study demonstrated the feasibility of the array for high fidelity, whole heart coverage MRI at 7.0 T and showed rather uniform signal intensity across the heart.

1130
14:36
Shape-Optimization of Electric Dipoles for Human Head Imaging at 7 Tesla
Ian Robert Oliphant Connell1,2 and Ravi S Menon1,2

1Centre for Functional and Metabolic Mapping, Robarts Research Institute, London, ON, Canada, 2Medical Biophysics, University of Western Ontario, London, ON, Canada

Dipole antennae have been proposed as an alternative solution for RF transmission at ultra-high field (UHF) strengths. However, adapting dipoles to achieve self-resonance, while minimizing SAR for a given transmission field homogeneity, is challenging given the geometry of the human head. In this study, the design of dipole elements is performed via computer aided shape optimization and is demonstrated to meet several of these design parameters. The final design relies upon meandered-conductor paths to produce electromagnetic fields that minimize local SAR without the use of additional RF shimming or pulse design algorithms.

1131
14:48
Evaluating the Influence of B1-Shimming on Contact-free Cardiac Gating using Scatter of a Parallel Transmit Coil at 7T MRI
Sven H.F. Jaeschke1, Matthew D. Robson1, and Aaron T. Hess1

1Oxford Centre for Magnetic Resonance, University of Oxford, Oxford, United Kingdom

We propose a contact-free cardiac MRI triggering method based on reflected power measurements that requires no additional hardware other than that provided with a commercial parallel transmit (pTx) MRI scanner and evaluate the influence of B1+ shim on the cardiac information extracted. Time series of scattering matrices of the pTx monitoring system were used with random, uniformly distributed phases to simulate B1+ shims. Preliminary results in 7T MRI are shown with successfully, retrospectively gated 2D-CINE images using the proposed method.


Oral

Elastography

Room 312 Thursday 13:00 - 15:00 Moderators: Arvin Arani & Lynne Bilston

1132
13:00
Simultaneous Multislice Acquisition for Magnetic Resonance Elastography
Christian Guenthner1, Jurgen H Runge2,3, Ralph Sinkus2, and Sebastian Kozerke1

1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland, 2Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 3Department of Radiology, Academic Medical Center, Amsterdam, Netherlands

We propose the use of simultaneous multislice acquisition for Magnetic Resonance Elastography (MRE) of the full displacement vector field. To this end, multiband composite RF pulses are used for slice excitation in a fast, “eXpresso” type gradient echo based MRE acquisition. Slice and k-line dependent RF-phases are used to shift simultaneously acquired slices leading to improved unfolding performance (CAIPIRINHA). In this abstract, we demonstrate that multiband MRE with CAIPIRINHA can be used to acquire up to three slices simultaneously with only little SNR penalty in a gel phantom and show the feasibility to acquire full-brain images in-vivo.

1133
13:12
Towards single-shot 3D MR elastography: Application to intrinsically activated motion fields in the human brain.
Sebastian Hirsch1, Rüdiger Stirnberg2, Tony Stöcker2,3, Florian Dittmann4, Jing Guo4, Eric Barnhill1, Jürgen Braun1, and Ingolf Sack4

1Department of Medical Informatics, Charité - Universitätsmedizin Berlin, Berlin, Germany, 2German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, 3Department of Physics and Astronomy, University of Bonn, Germany, 4Department of Radiology, Charité - Universitätsmedizin Berlin, Berlin, Germany

This study introduces a single-shot 3D EPI sequence for rapid motion field acquisition. The method can be applied for MRE under pulsatile motion or for directly analyzing intrinsic motion fields in pulsatile organs such as the brain. Through 3D k-space sampling, inter-slice phase offset artifacts, which essentially result from 2D k-space MRE, are most effectively avoided. In a first application we used the new method for the measurement of intrinsic brain pulsation in the human brain and analyzed the intensity of deflection field components by stochastic sampling at rest and during Valsalva maneuver.

1134
13:24
Preoperative assessment of tumor stiffness and tumor-brain adhesion in patients with vestibular schwannoma using MR elastography-based method
Prateek Kalra1, Arunark Kolipaka, PhD1, Brian Raterman1, Oliver Adunka, MD2, Michael Harris, MD2, and Daniel M. Prevedello, MD3

1Department of Radiology, Ohio State University Wexner Medical Center, Columbus, OH, United States, 2Department of Otolaryngology, Ohio State University Wexner Medical Center, Columbus, OH, United States, 3Department of Neurological Surgery, Ohio State University Wexner Medical Center, Columbus, OH, United States

Microsurgery in vestibular schwannoma patients aims to complete tumor resection without compromising any neurological functionality. Inadequate preoperative knowledge of tumor may prolong surgical time and increase risk of postoperative complications. Previous studies have used magnetic resonance elastography (MRE) based method to determine tumor stiffness and tumor-brain adhesion, separately. But none of the studies have investigated tumor stiffness and tumor-brain adhesion together. The aim of this study is to bring together the two MRE-based outcomes – tumor stiffness and tumor-brain adhesion – and correlate with surgical findings. Preliminary results show a good correlation between preoperative assessment of tumor and surgical findings. 

1135
13:36
Assessing tumor mechanical nonlinearity by MR elastography at different strain levels
Marion Tardieu1, Laurent Besret2, Lydia Blot2, Joaquim Lopes2, Ralph Sinkus3, Bernard Van Beers1, and Philippe Garteiser1

1'Laboratory of Imaging Biomarkers CRI UMR1149, INSERM, Paris, France, 2Sanofi oncology, Vitry-sur-Seine, France, 3Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom

In this study we attempt to access nonlinear mechanical properties of tumors by applying external loads. Experiments were performed on subcutaneous tumors implanted in mice. MR elastography acquisitions were realized at 600 Hz while deformations were applied, in order to obtain apparent elasticity (G’) values for each strain application. Results showed nonlinear G’ values increasing with loads, when deformations were clearly observed. Some results showed a decrease of G' potentially due to wave displacement polarization. We showed the feasibility of assessing the nonlinear regime of tumor mechanical properties that may potentially be an indicator of internal tumor forces.

1136
13:48
Measurement of Human Brain, Scalp, and Skull Motion in vivo using Magnetic Resonance Elastography and Triaxial Accelerometers
Andrew A Badachhape1, Ruth J Okamoto2, Curtis L Johnson3, and Philip V Bayly1,2

1Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, United States, 2Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO, United States, 3Biomedical Engineering, University of Delaware, Newark, DE, United States

Characterizing motion transmission from the skull to the brain and from skull to external soft tissue would provide valuable insight into traumatic brain injury mechanics and injury assessment by external sensors. In this study, we estimated rigid-body displacement components of brain and scalp using magnetic resonance elastography for comparison with skull motion estimated from three triaxial accelerometers. Comparison of the relative amplitudes and phases of harmonic motion in the skull, scalp, and brain of five human subjects indicated differences between each region. These measured amplitude and phase relationships can improve both simulations and experimental characterization of head biomechanics. 

1137
14:00
Quadrature Motion Encoding (QuME): A Novel Motion Encoding Scheme for MR Elastography
Yi Sui1, Kevin J. Glaser1, Ziying Yin1, Joshua D. Trzasko1, Jun Chen1, Richard L. Ehman1, and John Huston III1

1Radiology, Mayo Clinic, Rochester, MN, United States

We propose a novel approach to motion encoding for spin-echo-based MR elastography called quadrature motion encoding (QuME) in which the second motion-encoding gradient (MEG) after the refocusing pulse is used to measure the quadrature component of the in vivo harmonic motion induced by an external mechanical vibration. Unlike the conventional encoding method that shifts the temporal relation between the motion and MEGs, QuME alters the amplitudes of MEGs from one time step to the next. This concept was implemented on a 3T GE scanner and demonstrated the ability to shorten the echo time of SLIM-MRE for human brain MRE.

1138
14:12
Fibrosis in a Renal Allograft: The Role of Magnetic Resonance Elastography as a Non- Invasive Measurement Tool
Jin Kyu Kim1,2, Darren Yuen3, General Leung1,2, Serge Jothy4, Jeffrey Zaltzman3, Ramesh Prasad3, and Anish Kirpalani1,2

1Medical Imaging, St. Michael's Hospital, Toronto, ON, Canada, 2Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada, 3Medicine – Division of Nephrology, St. Michael's Hospital, Toronto, ON, Canada, 4Pathology, St. Michael's Hospital, Toronto, ON, Canada

A major reason for poor long-term kidney transplant outcomes is interstitial fibrosis. Currently, percutaneous biopsy, an invasive procedure that samples <1% of the allograft, is the gold standard for detecting renal allograft fibrosis. As the allograft scars, it stiffens due to the deposition of stiff extracellular matrix. This stiffening can be imaged non-invasively using magnetic resonance elastography (MRE). We used serial renal stiffness MRE imaging and serial percutaneous biopsies to measure whole allograft fibrosis preogression in a kidney transplant recipient. We show that renal allograft MRE can detect changes in overall fibrotic burden, as confirmed by biopsy.

1139
14:24
Inversion Parameters based on Convergence and Error Metrics for Nonlinear Inversion MR Elastography
Aaron T Anderson1,2, Curtis L Johnson3, Matthew DJ McGarry4,5, Keith D Paulsen4,6, Bradley P Sutton2,7, Elijah EW Van Houten4,8, and John G Georgiadis9

1Mechanical Science & Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 3Biomedical Engineering, University of Delaware, Newark, DE, United States, 4Thayer School of Engineering, Dartmouth College, Hanover, NH, United States, 5Biomedical Engineering, Columbia University, New York, NY, United States, 6Radiology, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States, 7Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 8Génie Mécanique, Université de Sherbrooke, Sherbrooke, QC, Canada, 9Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, United States

Nonlinear inversion (NLI) of brain MRE data has shown the promise in sensitive detection of complex neurodegenerative disease by showing repeatable and accurate assessments of both white matter and gray matter regions in healthy subjects. This study looks to further improve the accuracy of the NLI-MRE framework by characterizing two major inversion parameters: subzone size and conjugate gradient iterations. Additionally, two convergence criteria are proposed as means to quantify the confidence in final reported statistics while fully capturing the distribution of heterogeneity within white matter regions.

1140
14:36
Magnetic Resonance Elastography of Emphysematous Rat Lung in vivo
Hongchen Wang1, Catherine Sebrié1, Georges Willoquet1, Jinlong Yue1, Felicia Julea1, Rose-Marie Dubuisson1, Sébastien Judé2, Anne Maurin2, and Xavier Maître1

1Imagerie par Résonance Magnétique Médicale et Multi-Modalités (UMR8081) IR4M, CNRS, Univ. Paris-Sud, Université Paris-Saclay, Orsay, France, 2Centre de Recherches Biologiques, CERB, Baugy, France

Emphysema is a chronic respiratory disease, which has become the fifth most common cause of death worldwide. Emphysema is characterized by alveolar wall destruction, leading to distal airspace enlargement and decreased elastic recoil. The altered structure and function of the lung is related to modified mechanical properties of pulmonary tissues, which are difficult to probe in vivo by standard techniques. Magnetic Resonance Elastography (MRE) allows to characterize the mechanical properties correlated with lung physiopathologies. Here, we implemented MRE lung imaging in vivo on emphysematous rat models.

1141
14:48
Multifrequency MR elastography of the human prostate by multiple surface-based compressed-air drivers: reproducibility and first patient results
Florian Dittmann1, Jing Guo1, Heiko Tzschätzsch1, Sebastian Hirsch2, Rolf Reiter1, Patrick Asbach1, Andreas Maxeiner3, Jürgen Braun2, and Ingolf Sack1

1Institute of Radiology, Charité, Berlin, Germany, 2Department of Medical Informatics, Charité, Berlin, Germany, 3Department of Urology, Charité, Berlin, Germany

A new setup for prostate MR Elastography is proposed that uses surface-based wave excitation by compressed-air drivers. The post-processing with tomoelastography combining wave fields at drive frequencies of 60, 70, and 80 Hz leads to highly resolved elasticity maps. A study in healthy volunteers demonstrates the good reproducibility of the method. Furthermore, the first patient results show excellent agreement with contrast-enhanced reference images, which motivates future patient studies.


Oral

The Bee's Knees

Room 313A Thursday 13:00 - 15:00 Moderators: Elisabeth Garwood & Valentina Taviani

1142
13:00
Three-dimensional Ultrashort Echo Time Cones Imaging with Magnetization Transfer Modeling (3D UTE-Cones-MT): Simulation, Specimen and Volunteer Studies of the Knee Joint
Yajun Ma1, Eric Y Chang1,2, Michael Carl3, and Jiang Du1

1Radiology, University of California, San Diego, San Diego, CA, United States, 2Radiology Service, VA San Diego Healthcare System, San Diego, CA, United States, 3GE Healthcare, San Diego, CA, United States

A major limitation associated with conventional clinical MRI sequences is the magic angle effect . The conventional T2 and T1rho measures may increase more than 100% when the fibers are oriented from 0º to the magic angle (~55º) relative to the B0 field, far more than that associated with osteoarthritis (OA). Magnetization transfer (MT) imaging has shown less sensitivity to the magic angle effect, and can indirectly evaluate macromolecules which have extremely short T2 (~10 us) and invisible with all MRI sequences. However, conventional MT techniques cannot be applied to short T2 tissues such as menisci, ligaments, tendons and bone. Ultrashort echo time (UTE) sequences with TEs 100-1000 times shorter than those of clinical sequences have been developed to image these short T2 tissues. In this study, we aimed to develop 3D UTE with Cones sampling and MT (3D UTE-Cones-MT) imaging and signal modeling to quantify water and macromolecules in both short and long T2 tissues in the knee joint at 3T.

1143
13:12
Two compartmental diffusion model of skeletal muscle: application to aging and chronic limb suspension induced DTI changes in the medial gastrocnemius
Usha Sinha1, Vadim Malis2, and Shantanu Sinha3

1Physics, San Diego State University, San Diego, CA, United States, 2Physics, UC San Diego, San Diego, CA, United States, 3Radiology, UC San Diego, San Diego, CA, United States

Diffusion tensor imaging (DTI) is a powerful technique that allows one to probe tissue at the microstructural level.  Though microarchitecture determines the DTI indices, a diffusion model is required to make inferences about the microstructure.  We applied a two compartmental diffusion model for muscle to explain differences in the DTI indices with age and with atrophy induced by limb suspension.  The model qualitatively explains the changes in DTI seen in limb suspension that is linked to decrease in muscle fiber diameter and in intracellular volume fraction. Extensions to the model are required to explain the age related changes in DTI.

1144
13:24
In Vivo Follow-up of Low-Grade Femoral Cartilage Defects using Sodium MRI at 7T
Stefan Zbyn1,2,3, Vladimir Mlynarik1, Vladimir Juras1, Markus Schreiner1,4, Pavol Szomolanyi1, Didier Laurent5, Celeste Scotti5, Harry Haber5, Joerg Goldhahn5, Ewa Kubiak5, Oliver Bieri6, Stefan Marlovits7, Miika T. Nieminen2,8,9, and Siegfried Trattnig1,3

1High Field MR Center, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria, 2Research Unit of Medical Imaging, Physics and Technology, University of Oulu, Oulu, Finland, 3CD Laboratory for Clinical Molecular MR Imaging, Vienna, Austria, 4Department of Orthopaedics, Medical University of Vienna, Vienna, Austria, 5Novartis Institutes for Biomedical Research, Basel, Switzerland, 6Division of Radiological Physics, Department of Radiology, University of Basel Hospital, Basel, Switzerland, 7Department of Traumatology, Medical University of Vienna, Vienna, Austria, 8Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland, 9Medical Research Center, University of Oulu and Oulu University Hospital, Oulu, Finland

Sodium (23Na) MRI was employed for the evaluation of patients with ICRS Grade I-II cartilage defects at 7T. 23Na data from defect, weight-bearing, and non-weight-bearing region of femoral cartilage were obtained at baseline, 8-days, 3-months and 6-months follow-up. Significantly lower 23Na values were found in defect than in weight-bearing and non-weight-bearing regions at all time-points. While 23Na values in weight-bearing and in non-weight-bearing regions were stable over time, a significant decrease was found in the defects. 23Na-MRI allows noninvasive follow-up of changes in the cartilage GAG content and thus might be particularly useful for the evaluation of cartilage regenerating therapies.

1145
13:36
Cluster Analysis of Cartilage T2 and T1rho Relaxation Times: Can the Contralateral Knee be used as a Control in the ACL-injured population?
Uchechukwuka Monu1,2, Emily McWalter3, Caroline Jordan4, Brian Hargreaves1,2,5, and Garry Gold2,5

1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Radiology, Stanford University, Stanford, CA, United States, 3Mechanical Engineering, University of Saskatchewan, SK, Canada, 4Radiology and Biomedical Imaging, University of California San Francisco, CA, United States, 5Bioengineering, Stanford University, Stanford, CA, United States

In an ACL-injured population, longitudinal studies that use advanced MRI techniques such as T2 and T1rho mapping to assess cartilage health, typically compare ACL-injured knees with a separate healthy group or the contralateral knees. It is still unclear whether the contralateral knees can be used as a control group. Using a cluster analysis-based technique, we identify in the contralateral knees, significant increase in T1rho relaxation times over 1-year that is comparable to the increase in the ACL-injured knees. These focal cluster areas may represent degenerative changes and demonstrate that the contralateral knees may not be good controls. 

1146
13:48
Novel NMR biomarkers characterizing human knee synovial fluid after ACL-injuries: correlation with immunoassay and longitudinal cartilage MR T1ρ and T2 imaging
Kaipin Xu1, Keiko Amano1, Matthew Tanaka1, Subramaniam Sukumar1, John Kurhanewicz1, Virginia Kraus2, Benjamin Ma1, and Xiaojuan Li1

1University of California, San Francisco, San Francisco, CA, United States, 2Duke University, Durham, NC, United States

Subjects with acute anterior cruciate ligament (ACL) injury have a high risk of developing post-traumatic osteoarthritis (PTOA) even after ACL reconstruction. To identify novel NMR biomarkers of synovial fluid that may predict cartilage degeneration after acute injury and to develop potential preventative strategies for PTOA, human knee synovial fluid harvested from 25 anterior cruciate ligament (ACL) injured subjects were studied using high resolution magic angle spinning (HR-MAS) NMR spectroscopy and correlated to immunoassay and longitudinal cartilage MR T1ρ and T2 imaging.

1147
14:00
Biomechanical properties of bovine knee cartilage under compressive loading: A study at high field MRI (9.4T) using T1, T2 and T1rho relaxometry combined with DENSE-FID.
Willy Gsell1, Willy Zevenbergen2, Tom Dresselaers1, Deva Chan3, Corey Neu4, Uwe Himmelreich1, and Ilse Jonkers5

1Biomedical MRI group, KU Leuven, Leuven, Belgium, 2Human Movement Biomechanics Research Group, KU Leuven, Leuven, 3Rensselaer Polytechnic Institute, 4Mechanical Engineering, University of Colorado Boulder, 5Human Movement Biomechanics Research Group, KU Leuven

The aim of this study was to correlate the cartilage displacement pattern during cartilage on cartilage contact through displacement encoding imaging during compressive loading with the T1, T2 and T1rho changes, indices of changes in collagen matrix, water and proteoglycan contents. We demonstrated that local mechanical changes in the cartilage during loading were correlated to global molecular changes assessed through T1, T2 and T1rho. The localized cartilage deformation and strain fields suggest a differential response to loading of the different regions of the cartilage which could help in further optimizing cell based therapy for osteoarthritis.

1148
14:12
Intratissue Strains Increase in a Full Thickness and Critical Sized Ovine Cartilage Defect Model
Deva Chan1, Luyao Cai2, Kent Butz2, Eric Nauman2, Darryl Dickerson2, Ilse Jonkers3, and Corey Neu4

1Rensselaer Polytechnic Institute, Troy, NY, United States, 2Purdue University, 3KU Leuven, 4University of Colorado Boulder, Boulder, CO, United States

Functional imaging of intratissue strain in articular cartilage provides an opportunity to probe the healthy or diseased state of the tissue. We utilized displacement encoded MRI to document the increase in deformation following creation of a critical sized femoral defect in a large animal model ex vivo. Strain heterogeneity indicated that the implant replacement is critical to long-term repair success and restoration of physiological cartilage strain and mechanical function. This study represents a crucial step toward the evaluation of biomechanical imaging biomarkers to evaluate tissue damage, repair, and regeneration in the intact joint of a clinically-relevant and translational animal model.

1149
14:24
Dynamic knee imaging using 4D self-gated MRI with compressed sensing reconstruction
Valentina Mazzoli1,2,3, Jasper Schoormans4, Martijn Froeling5, Andre M Sprengers3, Klaas Nicolay2, Bram F Coolen4, Nico Verdonschot3, Aart J Nederveen1, and Gustav J Strijkers4

1Department of Radiology, Academic Medical Center, Amsterdam, Netherlands, 2Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands, 3Orthopaedic Research Lab, Radboud UMC, Nijmegen, Netherlands, 4Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, Netherlands, 5Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands

Knee abnormalities and pain are sometimes elucidated during motion, therefore the ability to obtain 4D images of the moving knee could add diagnostic value to the conventional static MRI scans. In this work we present a method to obtain 4D imaging of the human knee during motion, without the use of an external gating system.

1150
14:36
Rapid knee MRI using TSE sequences accelerated with a combination of simultaneous multislice, multicoil compressed sensing and elongated echo trains
Akio Yoshimoto1,2, Steven H Baete1,3, Mary Bruno4, Mitchell Kline4, Elisabeth Garwood4, Fernando Boada1,4, Ricardo Otazo1,4, and Michael Recht4

1Center for Advanced Imaging Innovation and Research (CAI2R), NYU School Of Medicine, New York, NY, United States, 2Biomedical Engineering, School of Engineering, New York University, Brooklyn, NY, United States, 3Center for Biomedical Imaging, Dept of Radiology, NYU School Of Medicine, New York, NY, United States, 4Department of Radiology, NYU School Of Medicine, New York, NY, United States

Turbo spin echo imaging is accelerated with a novel combination of simultaneous multislice, multicoil compressed sensing and elongated echo times to reduce the scan time of routine knee examinations to 7 minutes. The accelerated protocol is validated against the conventional technique in a cohort of 10 patients based on the opinion of expert radiologists. Diagnostic accuracy was found to be similar despite the reduction in scan time. This might be useful to expand the utilization of MRI and to increase patient throughput.

1151
14:48
3D MRI of Knee in Pediatric Patients with CAIPIRINHA SPACE: Diagnostic Performance Assessment with Arthroscopic Correlation
Jan Fritz1, Shivani Ahlawat1, Gaurav K Thawait1, Esther Raithel2, Wesley Gilson3, and Rushyuan J Lee1

1The Johns Hopkins University School of Medicine, Baltimore, MD, United States, 2Siemens Healthcare GmbH, 3Siemens Healthcare USA

3D CAIPIRINHA SPACE permits the acquisition of 4-fold accelerated, high quality data sets and has been shown to be feasible for efficient 3D MRI of the knee; however, the clinical application has not been demonstrated. We report the performance of 3D CAIPIRINHA SPACE MRI for the diagnosis of internal derangement of the knee in children and adolescents using arthroscopy correlation as the standard of reference. 3D CAIPIRINHA SPACE enables clinically feasible isotopic 3D MRI of the knee in children and adolescents with an acquisition time of 10 min and high accuracy for the diagnosis of meniscal, ligamentous and cartilage abnormalities.


Oral

fMRI: Multimodal & Neuromodulation

Room 313BC Thursday 13:00 - 15:00 Moderators: Kai-Hsiang Chuang & Shella Keilholz

1152
13:00
On- and off-target circuit effects of high frequency electrical deep brain stimulation at the subthalamic nucleus
SungHo Lee1, Daniel L. Albaugh1, You-Yin Chen2, and Yen-Yu Ian Shih1,3

1Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 2National Chiao-Tung University, 3Neurology, UNC at Chapel Hill, Chapel Hill, NC, United States

This study introduces a novel hybrid methodology for DBS-fMRI research. Our findings demonstrate robust stimulus evoked fMRI and fcMRI responses during STN-DBS, which should shed light on how DBS exerts its therapeutic effects on whole-brain functional networks and delineate a road-map for future optimization of DBS therapy to enhance outcomes and reduce side-effects. 

1153
13:12
Combined fMRI-MRS measures simultaneous glutamate and BOLD-fMRI signals in the human brain at 7T
Betina Ip1,2, Adam Berrington2, Aaron T Hess3, Andrew Parker1, Holly Bridge2, and Uzay E Emir2

1Department of Physiology, Anatomy & Genetics, University of Oxford, Oxford, United Kingdom, 2Oxford Centre for Functional MRI of the Brain (FMRIB), University of Oxford, Oxford, United Kingdom, 3Centre for Clinical Magnetic Resonance Research (OCMR), University of Oxford, Oxford, United Kingdom

We quantified neural activity using a novel method for simultaneous acquisition of blood-oxygenationlevel dependent (BOLD)-fMRI signals and proton magnetic resonance spectroscopy (1H -MRS)-MRI at 7 Tesla. We have demonstrated the correlation of glutamate, the principal excitatory neurotransmitter in the nervous system, with BOLD-fMRI responses during brief (64 s) periods of visual stimulation. These results establish the feasibility of concurrent measurements of BOLD-fMRI and neurochemicals at a temporal resolution compatible with human fMRI studies.

1154
13:24
GABA promotes beta-Amyloid related changes in dynamic network expression of elderly subjects at risk for Alzheimer's disease
Frances-Catherine Quevenco1, Simon J. Schreiner2,3, Maria Giulia Preti4, Jiri van Bergen1, Thomas Kirchner5, Michael Wyss5, Stephanie C. Steininger1,3, Anton Gietl1, Sandra Leh1,3, Alfred Buck6, Klaas P. Pruessman5, Christoph Hock2,3, Roger M. Nitsch2, Anke Henning5,7, Dimitri Van de Ville4, and Paul Gerson Unschuld2,8

1Institute of Regenerative Medicine, University of Zurich, Zurich, Switzerland, 2Institute for Regenerative Medicine, University of Zurich, Switzerland, 3Hospital for Psychogeriatric Medicine, University of Zurich, Switzerland, 4Institute of Bioengineering, École polytechnique fédérale de Lausanne, Switzerland, 5Institute for Biomedical Engineering, ETH Zurich, Switzerland, 6Division of Nuclear Medicine, University of Zurich, Switzerland, 7Max Planck Institute for Biological Cybernetics, Tubingen, Germany, 8Hospital for Psychogeriatric Medicine, University of Zurich, Zurich, Switzerland

This study observes dynamic functional connectivity changes in an elderly AD-risk population mediated by both regional Aß-deposits and GABA levels, using PiB-PET and MRSI. The sample is grouped into subjects with high regional Aß and high GABA, and changes in dynamic network expression are compared between groups. Our preliminary findings show dynamic network changes specific to high Aß-deposits in the neocortex and the frontal and temporal lobe. This indicates region-specific network changes that may in part explain the weak correlation between global Aß and AD progression.

1155
13:36
Chemogenetic fMRI and 18F-FDG PET Reveal Functional Projections of Hoxb1-Derived Noradrenargic Neurons
Manasmita Das1, Esteban Oyarzabal1, Yu-Wei Chen2, Sung Ho Lee1, Lars Chen1, Weiting Zhang1, Patricia Jensen2, and Yen-Yu Ian Shih1

1Biomedical Research Imaging Center, Department of Neurology, University of North Carolina Chapel Hill, Chapel Hill, NC, United States, 2Developmental Neurobiology, NIEHS/NIH

In this study, we show that chemogenetic fMRI and 18 F FDG PET can sensitively dissect the functional neurocircuits of noradrenergic cells derived from rhombomere 4 expressing Hoxb1 during neurodevelopment. To address this, we used a novel genetically engineered mouse line expressing Designer Receptors Exclusively Activated for Designer Drugs (DREADD) in Hoxb1-derived noradrenargic neurons in several subpopulations throughout the pons and medulla. For the first time, we used ICA-based fMRI analaysis to dissect the complex polysynaptic pathways associated with chemogenetic modulation of Hoxb-1 derived noradrenargic neurons.  

1156
13:48
Low frequency hippocampal-cortical activity contributes to brain-wide connectivity as measured by resting-state fMRI
Russell W. Chan1,2, Alex T. L. Leong1,2, Leon C. Ho1,2, Xunda Wang1,2, Anthea To1,2, and Ed X. Wu1,2

1Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong, Hong Kong, 2Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, Hong Kong

The hippocampus, including dorsal dentate gyrus (dDG), and cortex engage in bidirectional communication. We propose that low frequency activities in hippocampal-cortical pathway underlie brain-wide resting-state fMRI (rsfMRI) connectivity to mediate distinct cognitive functions and integrate sensory information. Using optogenetics and fMRI, we determined large-scale spatiotemporal specific hippocampal-cortical activity. Low, but not high, frequency optogenetic stimulation of dDG excitatory neurons evoked robust cortical and subcortical responses, and enhanced interhemispheric hippocampal and cortical rsfMRI connectivity. In addition, pharmacological inactivation of dDG decreased rsfMRI connectivity. These findings directly indicate that low frequency activity propagates in hippocampal-cortical pathway and contributes to brain-wide rsfMRI connectivity.

1157
14:00
Brain regions associated with reward induced by optogenetic stimulation at the medial prefrontal cortex
Yuzheng Hu1, Aleksandr Talishinsky1, Hanbing Lu1, Satoshi Ikemoto1, and Yihong Yang1

1National Institute on Drug Abuse (NIDA-IRP), NIH, BALTIMORE, MD, United States

Optogenetics and fMRI were combined to examine the neural activity underlying the rewarding behavior mediated by the medial prefrontal cortex (MPFC) in rats. Animals were trained to press lever for optogenetic self-administration in MPFC. FMRI showed that MPFC photostimulation activated many regions known to receive MPFC afferents. Notably, the activation of hypothalamus, agranular insula, and ventral striatum was positively correlated with the lever press. Our finding may shed light on brain circuits involved in therapeutic effects of recent deep brain stimulation studies in major depression, in which the MPFC plays an important role.

1158
14:12
Decipher the hippocampal neurovascular coupling with simultaneous fMRI and GCaMP-mediated calcium recording
XuMing Chen1,2, Yi Chen1, and Xin Yu1

1High-Field Magnetic Resonance, Max Planck Institute for Bioilogical Cybernetics, Tuebingen, Germany, 2Neurology, Renmin Hospital of Wuhan University, Wuhan, People's Republic of China

Decipher the hippocampal neurovascular coupling with simultaneous fMRI and GCaMP-mediated calcium recording

Previously, we have developed a single-vessel fMRI method to visualize the hemodynamic signal propagation from individual venules and arterioles in the deep layer cortex and hippocampus. Here, we combined the single-vessel SSFP-fMRI with the GCaMP-mediated calcium recording to decipher the hippocampal neurovascular coupling events. Optogenetic stimulation led to epileptic activity, which could be detected as the bursting calcium spikes coupled to elongated fMRI signal from individual hippocampal arterioles and venules up to 20-30s following the epileptic events. This work establishes a multi-modal fMRI platform to characterize the hippocampal vascular dynamics of both normal and optogenetically driven seizure-like states.

1159
14:24
GPR88 signatures on the reward resting state brain networks after alcohol exposure in mice
Tanzil Mahmud Arefin1,2,3, Sami Ben Hamida3,4, Thomas Bienert1, Thiago Marques De Melo1,5, Hsu-Lei Lee1, Jürgen Hennig1, Dominik von Elverfeldt1, Brigitte Kieffer3,4, and Laura-Adela Harsan1,6,7

1Advanced Molecular Imaging Center, Medical Physics, Department of Radiology, University Medical Center Freiburg, Freiburg, Germany, 2Faculty of Biology, University of Freiburg, Freiburg, Germany, 3Department of Translational Medicine and Neurogenetics, Institute of Genetics and Molecular and Cellular Biology (IGBMC), Illkirch-Graffenstaden, Strasbourg, France, 4Department of Psychiatry, Douglas Hospital Research Center, School of Medicine, McGill University, Montreal, QC, Canada, 5Spemann Graduate School of Biology and Medicine, University of Freiburg, Germany, 6Department of Biophysics and Nuclear Medicine, University Hospital Strasbourg, Strasbourg, France, 7Laboratory of Engineering, Informatics and Imaging, University of Strasbourg, Strasbourg, France

Identifying the genetic and molecular factors regulating the development and the dynamics of brain functional connectivity (FC) networks in health and disease is important to develop novel therapeutic strategies. Resting state functional magnetic resonance imaging (rsfMRI) can reveal the FC remodeling in psychiatric disorders and drug addiction. Emerging studies suggest that neuronal responses to alcohol involve several G protein-coupled receptors (GPCR)-mediated signaling pathways, inducing short-term to long-term changes in behavioral and neuronal plasticity. This study investigates the role of GPR88 in the acquisition and development of alcohol dependence and unravels the rsFC modifications underpinning this processes in the mouse brain.

1160
14:36
Systematically mapping anatomical connectivity in the macaque using combined electrical microstimulation and fMRI
Atsushi Mark Takahashi1, Rui Xu1, Narcisse P. Bichot1, Pauline K. Weigand1, and Robert Desimone1

1McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States

Connectivity of prefrontal cortex was studied with electrical microstimulation and fMRI in the macaque.


1161
14:48
Assessing the repeatability of absolute CMRO2 measurements from calibrated fMRI
Alberto Merola1, Michael A Germuska1, Kevin Murphy1, and Richard G Wise1

1CUBRIC, Cardiff University, Cardiff, United Kingdom

O2 metabolism is a crucial biomarker of brain physiology. We aim at measuring the repeatability of estimates of O2 metabolism obtained with a dual calibrated fMRI experiment and a newly proposed parameter estimation approach based on a forward model. The analysis is carried out on two datasets from volunteers scanned at rest. The performances are shown to depend on the physiological parameter considered, resolution (bulk or voxel-wise level) and decreasing from within- to between-sessions repeatability. Overall the repeatability is demonstrated to be comparable with PET and a previous calibrated fMRI method, but supplying a more complete mapping of brain O2 metabolism.


Oral

Multimodal & Multiparametric

Room 314 Thursday 13:00 - 15:00 Moderators: Dimitrios Karampinos & Christopher Roy

1162
13:00
Multimodal multiparametric 18F-Fluciclovine PET/MRI improves computer-assisted detection of primary prostate cancer
Mattijs Elschot1, Kirsten M Selnæs1,2, Elise Sandsmark1, Jose R Teruel3, Brage Krüger-Stokke1,4, Øystein Størkersen5, May-Britt Tessem1, Siver A Moestue1,6, Helena Bertilsson7,8, and Tone F Bathen1,2

1Department of Circulation and Medical Imaging, NTNU, Norwegian University of Science and Technology, Trondheim, Norway, 2St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway, 3Department of Radiology, University of California San Diego, La Jolla, CA, United States, 4Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway, 5Department of Pathology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway, 6Department of Laboratory Medicine, Children’s and Women’s Health, NTNU, Norwegian University of Science and Technology, Trondheim, Norway, 7Department of Cancer Research and Molecular Medicine, NTNU, Norwegian University of Science and Technology, Trondheim, Norway, 8Department of Urology, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway

Computer-assisted algorithms have been proposed to support radiological reading of multiparametric MRI (mpMRI) images for the detection of primary prostate cancer, but have limited sensitivity. In this work, we investigated if standardized uptake values (SUV) from combined 18F-Fluciclovine PET/mpMRI can improve automated tumor detection. We found that, at the same number of false positives, a model based on combined PET/mpMRI correctly detected more tumors  than models based on mpMRI only or PET only. These findings suggest that there is a potential role for multimodal multiparametric 18F-Fluciclovine PET/MRI for computer-assisted detection of primary prostate cancer.

1163
13:12
Hybrid MR-PET of Brain Tumours with amino acid-PET and Amide Proton Transfer MRI
Nuno André da Silva1, Philipp Lohmann1, James Fairney2,3, Arthur W. Magill1, Ana-Maria Oros-Peusquens1, Chang-Hoon Choi1, Rüdiger Stirnberg 1,4, Xavier Golay2,3, Karl-Josef Langen1,5,6, and N Jon Shah1,7,8

1Institute of Neuroscience and Medicine - 4, Forschungszentrum Jülich, Jülich, Germany, 2Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, 3Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, United Kingdom, 4German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, 5Jülich Aachen Research Alliance (JARA), Section JARA Brain, Aachen, Germany, 6Department of Nuclear Medicine, RWTH University of Aachen, Aachen, Germany, 7Department of Neurology, Faculty of Medicine, RWTH Aachen University, JARA, Aachen, Germany, 8Department of Electrical and Computer Systems Engineering, and Monash Biomedical Imaging, School of Psychological Sciences, Monash University, Melbourne, Australia

Information on amino acid metabolism has become an important component of the diagnostic and prognostic precision in the investigation of brain tumours. Both MRI and PET present methods to obtain amino acid weighted images, such as chemical exchange saturation transfer (CEST) or O-(2-18F- fluoroethyl)-L-tyrosine (FET), respectively. In this work, FET-PET and CEST imaging of brain tumours is investigated using hybrid MR-PET in 8 patients with brain tumours. The results suggest that the tumour-to-brain ratio of magnetization transfer ratio asymmetry (MTRasym) encodes different information than that from FET PET. 

1164
13:24
Management of complex regional pain syndrome (CRPS) with [18F]FTC-146 PET/MRI
Daehyun Yoon1, Peter Cipriano1, Trine Hjoernevik1,2,3, Bin Shen1, Dawn Holley1, Harsh Gandhi1, Vivianne Tawfik4, Catherine Curtin5, Ian Carroll4, Christopher McCurdy6, Brian Hargreaves1, Frederick Chin1, and Sandip Biswal1

1Department of Radiology, Stanford university, Palo Alto, CA, United States, 2The Intervention Centre, Oslo University Hospital, Oslo, Norway, 3The Norwegian Medical Cyclotron Centre, Oslo, Norway, 4Department of Anesthesiology, Stanford university, Palo Alto, CA, United States, 5Department of Surgery, Stanford university, Palo Alto, CA, United States, 6Department of BioMolecular Sciences, The University of Mississippi

Complex regional pain syndrome (CRPS) is a debilitating chronic pain condition affecting millions of patients worldwide. However, no specific diagnosis is currently available to accurately detect the pain generators in CRPS, and thus successful pain management for CRPS is very challenging. In this abstract, we propose a PET/MRI approach with a novel pain-specific PET tracer for identifying pain generators in CRPS. Our early experience with the proposed PET/MRI approach demonstrates that the image findings could alter the pain management for CRPS patients to achieve better pain-relief outcome.

1165
13:36
Using simultaneous PET-MRI to investigate the mechanisms of neurodegeneration in frontotemporal dementia
Esther AH Warnert1, Udunna C Anazodo2, Kristy Coleman1, Julia MacKinley1, John Butler2, Frank S Prato2,3, Elizabeth C Finger1, and Keith St. Lawrence2,3

1Clinical Neurological Sciences, University of Western Ontario, London, ON, Canada, 2Lawson Health Research Institute, London, ON, Canada, 3Medical Biophysics, University of Western Ontario, London, ON, Canada

Frontotemporal dementia (FTD) is a neurodegenerative disease characterized by progressive degeneration of brain function and structure. We present a proof-of-principle study in which simultaneous PET-MRI is used to inform on the pathophysiology of progressive neurodegeneration. By correlating glucose metabolism (PET) with functional connectivity (MRI), we found altered neuronal signaling in brain regions known to be critical in progression of FTD. 

1166
13:48
The MRI signature of glial activation: a PET-MRI study using PBR28 radioligand and MR relaxometry
Guillaume Bonnier1, Tom Hilbert2,3,4, Daniel Albrecht1, Marco L. Loggia1, and Cristina Granziera1,5

1MGH/MIT/HMS Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States, 2Siemens Healthcare AG, Advanced Clinical Imaging Technology, Lausanne, Switzerland, 3Department of Radiology, University Hospital (CHUV), Lausanne, Switzerland, 4LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 5Neuroimmunology Unit, Neurology, Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland

Radioligands used in PET imaging and binding to the translocator protein (TSPO) have proved to be useful to study inflammatory brain processes. Relatedly, quantitative Magnetic Resonance Imaging provides metrics of tissue-level microstructure, which permit to study the consequences of brain inflammation. In this work, we have investigated the relationship between PBR28 radioligant uptake and T1 and T2 metric of brain tissue microstructure based on analysis of PET images, T1 and T2 relaxometry images of 5 HIV subjects.


1167
14:00
Accelerated parameter mapping with compressed sensing: an alternative to MR Fingerprinting
Pedro A. Gómez1,2, Guido Buonincontri3, Miguel Molina-Romero1,2, Jonathan I. Sperl2, Marion I. Menzel2, and Bjoern H. Menze1

1Technical University of Munich, Munich, Germany, 2GE Global Research, Munich, Germany, 3Imago7 Foundation, Pisa, Italy

We introduce a method for MR parameter mapping based on three concepts: 1) an inversion recovery, variable flip angle acquisition strategy designed for speed, signal, and contrast; 2) a compressed sensing reconstruction which exploits spatiotemporal correlations through low rank regularization; and 3) a model-based optimization to simultaneously estimate proton density, T1, and T2 values from the acquired measurements. Compared to MR Fingerprinting, the proposed method achieves a five-fold acceleration in acquisition time, reconstructs an unaliased series of images, and does not rely on dictionary matching for parameter estimation.

1168
14:12
Ultra-high resolution in vivo multi-parameter mapping of the human brain
Kerrin J Pine1, Luke J Edwards1, Martina F Callaghan2, Pierre-Louis Bazin1, and Nikolaus Weiskopf1

1Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 2Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, United Kingdom

We present the first multi-parameter maps of R1, R2* and effective proton-density (PD*) acquired at 400 µm isotropic resolution at 7T. Prospective motion correction (PMC) by external optical tracking was used to reduce motion artifacts, as well as to avoid a co-registration step during calculation of the maps. The maps allow for characterizing of subtle subcortical and cortical features such as the line of Gennari in the visual cortex.

1169
14:24
Changes in Hippocampal Subfield Volumes, Diffusivity and Brain Metabolism after Electroconvulsive Therapy: a Pilot PET/MR Study
Chuan Huang1,2,3, Laura Kunkel1, Adeeb Yacoub1, Jie Ding3, Christine DeLorenzo1,3, and Ramin Parsey1

1Psychiatry, Stony Brook Medicine, Stony Brook, NY, United States, 2Radiology, Stony Brook Medicine, Stony Brook, NY, United States, 3Biomedical Engineering, Stony Brook University, Stony Brook, NY, United States

Major depression disorder is a highly prevalent illness with low treatment response rates. Fortunately, electroconvulsive therapy (ECT) is an effective treatment for patients with pharmacotherapy resistant depression, although its mechanism of action remains unclear. There is disagreement regarding the predictive value of amygdala and hippocampal volumes and whether ECT causes neuroplastic effects on these regions in patients with MDD. In this study, we used simultaneous PET/MR to look at structural, diffusion and metabolism changes in brain before and after ECT.

1170
14:36
In-vivo and ex-vivo R2* and Quantitative Susceptibility Mapping in Alzheimer’s Disease at Ultra-High Magnetic Field compared to Histology
Elisa Tuzzi1, Gisela Elisabeth Hagberg2, David Balla3, Joana Loureiro1, Manuela Neumann4, Christoph Laske5, Rolf Pohmann6, Matthias Valverde1, and Klaus Scheffler1

1High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 2High-field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 3Physiology of Cognitive Processes, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, 4Division of Neuropathology, University Hospital Tuebingen, Tuebingen, Germany, 5Section for Dementia Research, DE,Hertie-Institute for Clinical Brain Research, Tuebingen, Germany, 6High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tuebingen

Amyloid-β plaques are classical hallmarks of the post-mortem Alzheimer’s Disease (AD) brain. Ultra-High-Field (UHF) MRI provides a compelling means to investigate pathological processes at an unprecedented level of detail. ß-amyloid plaques can be detected in T2* weighted images at UHF, ex-vivo, due to the local iron content and to the plaque geometry per sè. With this study we aim to explore the source of the observed MR signal changes in AD at UHF using quantitative MRI methods in-vivo and ex-vivo.

1171
14:48
Simultaneous T1, T2 and Diffusion Quantification using Multiple Contrast Prepared Magnetic Resonance Fingerprinting
Yun Jiang1, Jesse Ian Hamilton1, Wei-Ching Lo1, Katherine L. Wright2, Dan Ma2, Andrew J. Coristine1,3, Nicole Seiberlich1, Vikas Gulani1,2, and Mark A. Griswold1,2

1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Department of Radiology, University Hospitals of Cleveland, Cleveland, OH, United States, 3Department of Radiology, University Hospital (CHUV), Lausanne, Switzerland

A novel MRF sequence is designed for generating high quality, distortion-free T1, T2 and apparent diffusion coefficient (ADC) maps simultaneously in less than 60 seconds per slice. The method inserts multiple magnetization preparation modules in a FISP-based MRF sequence. The use of magnetization preparation modules shortens the preparation time to achieve variable image contrast. Accurate T1, T2 and ADC quantification is demonstrated in a phantom and in vivo in human brains. This method enables the simultaneous collection of T1, T2 and diffusion maps for tissue characterization without the need to co-register separately acquired maps as in conventional MRI.


Oral

Thermometry & Focused Ultrasound

Room 315 Thursday 13:00 - 15:00 Moderators: Clemens Bos & Christiaan Overduin

1172
13:00
Efficiency improvement in multi-point MR acoustic radiation force impulse imaging
Henrik Odéen1, Joshua de Bever2, Lorne W Hofstetter3, and Dennis L Parker1

1Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States, 2Department of Radiology, Stanford University, 3Department of Radiology and Imaging Sciences, University of Utah

Focused ultrasound (FUS) treatment endpoint can potentially be evaluated using MR acoustic radiation force impulse (MR-ARFI) imaging, which can non-invasively and with very low energies interrogate tissue mechanical properties. In this work we investigate two ways of improving the efficiency of a previously published multi-point (MP)-MR-ARFI pulse sequence which simultaneously measure ARFI displacement and PRFS temperature maps. We investigate view-sharing of higher k-space frequencies from FUS-OFF images to FUS-ON images, and focusing in multiple positions during a single motion encoding gradient lobe as ways to speed up acquisition. Combining these methods full 3D MP-displacement maps could be achieved in a clinically acceptable time of 30-60s.

1173
13:12
MR guided High Intensity Focused Ultrasound for treating painful bone metastases: relating intra-procedural ADC changes and thermal dose to volume of ablated tissue
Sharon L Giles1,2, Matthew RD Brown3, Jessica Winfield1,2, David J Collins1, Ian Rivens4, John Civale4, Gail R ter Haar4, and Nandita M deSouza1

1CRUK Cancer Imaging Centre, Institute of Cancer Research, London, United Kingdom, 2CRUK Cancer Imaging Centre, Royal Marsden Hospital, London, United Kingdom, 3Pain Management Team, Department of Anaesthetics, Royal Marsden Hospital, 4Therapeutic Ultrasound, Institute of Cancer Research, London, United Kingdom

Thermal dose estimates and apparent diffusion coefficient (ADC) changes during MR-guided High Intensity Focused Ultrasound of painful bone metastases (n=11) were correlated with ablated tissue volumes assessed on Gd-T1W imaging acquired immediately, and at 30 days post-treatment. Thermal dose volume and mean maximum temperature were estimated from proton resonance frequency shift thermometry. Ablated tissue volume did not change significantly over 30 days. Mean maximum temperature and thermal dose volume were significant indicators of ablated volume, and mean maximum temperature was significantly higher in those with enduring ADC changes at Day 30. Further work will relate imaging changes to pain outcomes.

1174
13:24
Estimating Acoustic Velocity of Human Skull Bone with CT and MRI
Taylor D Webb1, Ethan M Johnson1, Steven Leung2, Jeremy Dahl3, Norbert Pelc3, John Pauly1, and Kim Butts Pauly1,2,3

1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Bionengineering, Stanford University, Stanford, CA, United States, 3Radiology, Stanford University, Stanford, CA, United States

Focusing of transcranial focused ultrasound requires knowledge of the speed of sound in the skull. Clinically, estimates of the speed of sound in the skull are obtained from a CT scan. We measure the acoustic velocity in several human skull fragments and correlate it to the average Hounsfield units, MR-Simulated-CT value (derived from an ultrashort echo time MR sequence), and R2* value of each fragment. Results show that both CT and MR can be used to accurately estimate the acoustic velocity in human skull bone and that replacing CT with MR to plan transcranial FUS treatments is feasible.

1175
13:36
Ultrashort Echo-Time Imaging based Skull Density Ratio Assessment for Transcranial MR guided Focused Ultrasound
Sijia Guo1, Jiachen Zhuo1, and Rao Gullapalli1

1Department of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, United States

Transcranial MRI-guided focused ultrasound (tcMRgFUS) applications have been growing steadily on treatment of brain diseases. Typically a CT skull scan is used with the MR scan to perform treatment planning in tcMRgFUS procedures.  In this study we examine the use of ultrashort echo time imaging to perform the skull imaging and assess the feasibility of using the information from MRI to perform treatment planning through acoustic and temperature modeling with skull characteristics generated from UTE imaging. We further compared the simulation results with existing data from tcMRgFUS treatment of essential tremor procedure that used CT images of the skull for treatment planning. We demonstrated that UTE based treatment planning is feasible and avoids the use of CT based images thus avoiding unnecessary radiation exposure.

1176
13:48
Focus Correction in MR thermography for Precise Targeting in Focused Ultrasound Thalamotomy for Essential Tremor
Chang-Sheng Mei1, Bruno Madore2, Shenyan Zong3, Pei-Hsin Wu2, Garth Rees Cosgrove2, and Nathan J. McDannold2

1Physics, Soochow University, Taipei, Taiwan, 2Radiology, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, United States, 3Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China

MRI-guided focused ultrasound thalamotomy has proved an effective method for the treatment of Essential Tremor. Precise alignment of the focus to the target in the thalamus is crucial. Proper targeting is complicated by artifactual shifts in hot spot location, with respect to anatomical images. We identified two sources of errors and proposed solutions to both; the correction scheme does not require any modification to the pulse sequence or imaging protocol. Shifts by 1.0±0.1 mm were detected and corrected, for three separate sonications in one given patient. The size of the shifts agreed with observations from the literature.

1177
14:00
Image-registered whole mount histology technique for validation of MRgFUS therapies
Allison Payne1, Sara Johnson2, Robb Merrill1, Nicole Winkler1, Rachel Factor3, and Jill Shea4

1Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, United States, 2Bioengineering, University of Utah, Salt Lake City, UT, United States, 3Pathology, University of Utah, Salt Lake City, UT, United States, 4Surgery, University of Utah, Salt Lake City, UT, United States

Clinical pathological review of histological samples is the gold standard for identification of tissue damage. For the development of new magnetic resonance-guided focused ultrasound (MRgFUS) procedures, in vivo post-treatment imaging assessment techniques require correlation to histopathology. Our study presents methodology and preliminary preclinical results of a new MRI-registered whole mount histology technique for efficacy evaluation of MRgFUS therapies.

1178
14:12
A Combined Intravascular MRI Endoscope and Intravascular Ultrasound (IVUS) Transducer for High-Resolution Image-Guided Ablation
Xiaoyang Liu1,2, Nicholas Ellens1, Emery Williams3, Everette Clif Burdette3, Parag Karmarkar1, and Paul Bottomley1,2

1Russell H. Morgan Department of Radiology, Johns Hopkins University, Baltimore, MD, United States, 2Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States, 3Acoustic MedSystems, Inc, Champaign, IL, United States

An intravascular MRI (IMRI) loopless antenna is combined for the first time with an intravascular water-cooled ultrasound ablation transducer as a possible tool for providing high-resolution MRI-guided ablations of pathological tissue via intravascular access. High resolution anatomical MRI, and real-time MRI thermometry were used to monitor ablation delivery in phantoms and tissue specimens. Results show that IMRI can guide IVUS-mediated directional ablation with minimal image artifacts. This permits the monitoring of thermal dose and therapy titration while minimizing potential thermal damage to the vessel wall.

1179
14:24
MRI-based myocardial ablation lesion extent relates to area of voltage reduction in MR-guided electroanatomical voltage maps
Philippa Krahn1,2, Venkat Ramanan2, Labonny Biswas2, Nicolas Yak2, Kevan Anderson2, Jennifer Barry2, Mihaela Pop1,2, and Graham A Wright1,2

1Medical Biophysics, University of Toronto, Toronto, ON, Canada, 2Sunnybrook Research Institute, Toronto, ON, Canada

In this study we investigated subtle features of acute RF ablation lesions using co-registered MR images and electroanatomic voltage maps (EAVM) acquired under MR guidance. Of particular interest was the relationship between the extent of edema detected in T2 maps and altered electrical activity surrounding the ablation site. The results from this study aim to elucidate mechanisms of high ventricular arrhythmia recurrence rates after successful RF ablation therapy, which may be driven by transient conduction block produced acutely by edema. 

1180
14:36
In-vivo Imaging of Ablation Lesions during MRI-guided Epicardial Ventricular Ablation in Swine
Sébastien Roujol1, Radhouene Neji1,2, Henry Chubb1, John Silberbauer1, Tom Lloyd3, Thomas Pohl4, Rainer Schneider4, Nick Kampa3, James Harrison1, Steven Williams1, Rahul Mukherjee1, Louisa O'Neill1, John Whitaker1, Matthew Wright1, Tobias Schaeffter1, Mark O'Neill1, and Reza Razavi1

1Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom, 2MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, 3Imricor Medical Systems, Burnsville, MN, United States, 4Siemens Healthcare GmbH, Erlangen, Germany

Cardiac MR (CMR) shows promise for the guidance of ventricular tachycardia (VT) ablation procedures and imaging of ablation lesions. CMR-thermometry is a promising approach for real-time tissue temperature monitoring and tissue characterization for prediction of permanent ablation lesions. In this study, we sought to develop an integrated multi-parametric framework for real-time, hyper-acute and acute imaging of ablation lesions using CMR-thermometry, native T1 mapping and late gadolinium enhancement (LGE), respectively. This framework is evaluated during MR-guided epicardial ventricular ablation in swine.

1181
14:48
Toward hybrid MR thermometry in aqueous and adipose tissue using simultaneous dual contrast weighting with double echo RARE imaging
Hendrik Paysen1, Katharina Paul1, Michal Pham1, Lukas Winter1, and Thoralf Niendorf1,2,3

1Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 2Experimental and Clinical Research Center (ECRC), a joint cooperation between the Charité Medical Faculty and the Max Delbrück Center for Molecular Medicine, Berlin, Germany, 3MRI.TOOLS GmbH, Berlin, Germany

Proton resonance frequency (PRF) shift is the most common MR thermometry (MRTh) technique for water based tissue. For adipose tissue MRTh exploits the temperature dependent relaxation times T1 and T2. Hybrid methods that allow simultaneous acquisition of water and fat based thermometry are of great clinical need. Recognizing this need this work investigates a hybrid temperature mapping technique, designated as 2in1-Thermometry, which combines simultaneous PRF and T2-based temperature mapping using simultaneous dual contrast weighting with double echo RARE imaging. 


Oral

Thoracic MRI: Lung & Mediastinum

Room 320 Thursday 13:00 - 15:00 Moderators: Scott Nagle & Edwin VanBeek

1182
13:00
Dynamic Spectroscopy of Dissolved-Phase Xenon-129 in the Human Kidney
G. Wilson Miller1, Gordon D. Cates Jr.1,2, David Keder2, Talissa A. Altes3, Jaime F. Mata1, Kun Qing1, Iulian Ruset4, F. William Hersman4, and John P. Mugler III1

1Radiology & Medical Imaging, University of Virginia, Charlottesville, VA, United States, 2Physics, University of Virginia, 3Radiology, University of Missouri, 4Xemed LLC

The increase in available dissolved-phase signal made possible by high-performing Xe-129 polarizers has led to renewed interest in dissolved-phase imaging of Xe-129 outside the lung. Here we examine the time course of the dissolved phase Xe-129 signal in the human kidney following gas inhalation, in order to optimize kidney image acquisition and explore the potential for studying kidney function using hyperpolarized Xe-129.  In addition to spectral peaks commonly associated with Xe-129 dissolved in tissue/plasma, red blood cells, and fat, we have identified an additional peak at 201 ppm that lags the blood peaks by a few seconds.

1183
13:12
Ventilation Defect Percent in Helium-3 MRI is Associated with Severe Outcomes in Asthma
David Mummy1, Stanley Kruger1, Michael Evans2, Wei Zha1, Ronald Sorkness3, Nizar Jarjour4, Mark Schiebler5, Loren Denlinger4, and Sean Fain1

1Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, 2Biostatistics & Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States, 3School of Pharmacy, University of Wisconsin-Madison, Madison, WI, United States, 4Medicine, University of Wisconsin-Madison, Madison, WI, United States, 5Radiology, University of Wisconsin-Madison, Madison, WI, United States

We assessed the ventilation defect percent (VDP) on hyperpolarized helium-3 MRI as an indicator of severe clinical outcomes (emergency department [ED] visits and hospitalizations as surrogates for significant asthma exacerbations). We compared VDP with conventional biomarkers of lung function and inflammation and found VDP was more strongly associated with both ED and hospitalizations as outcomes. VDP was correlated with spirometry, air trapping measured on CT, and eosinophil levels in sputum and peripheral blood. These findings suggest that VDP is a candidate biomarker associated with clinical outcomes of asthma exacerbation and stability.

1184
13:24
Regional Detection of Lung Injury using Hyperpolarized Xenon-129 Mapping of Blood Hematocrit in a Rat Model Involving Partial-Lung Irradiation
Brandon Zanette1,2, Elaine Stirrat1, Salomeh Jelveh3, Andrew Hope3,4, and Giles E. Santyr1,2

1Peter Gilgan Centre for Research and Learning, The Hospital for Sick Children, Toronto, ON, Canada, 2Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada, 3Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada, 4Department of Radiation Oncology, University of Toronto, Toronto, Canada

Dissolved 129Xe imaging holds promise for the detection of early functional decline due to radiation-induced lung injury through the extraction of regional quantitative parameters relating to lung physiology and gas exchange. In this work a spiral-IDEAL imaging technique was used with a partial-lung irradiation rat model to investigate regional changes lung function associated with injury and compare to histology. A significant reduction in capillary hematocrit (HCT) was observed in the vicinity of irradiation. These results were in agreement with quantitative histology of red blood cells. Imaging results were more sensitive than whole-lung spectroscopy, which was performed simultaneously.

1185
13:36
Ventilation heterogeneity of pediatric cystic fibrosis accessed via lung clearance index and hyperpolarized 129Xe MRI
Laura L Walkup1, Robert P Thomen1, Emily Bell2, Beth Decker2, Zackary I Cleveland1, John Paul Clancy2, and Jason C Woods1

1Center for Pulmonary Imaging Research, Division of Pulmonary Medicine and Department of Radiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Division of Pulmonary Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States

Quantitative hyperpolarized 129Xe ventilation MRI was compared to FEV1, the spriometric gold standard for assessing lung function, and lung clearance index (LCI), an emerging pulmonary function test to assess global ventilation heterogeneity, in 12 pediatric cystic fibrosis subjects. A range of severity and spatial distributions of 129Xe ventilation deficits were observed, with a 129Xe ventilation defect percentage (VDP) of 18.0% ± 8.1%. VDP did not correlate with FEV1 (p=0.45) but correlated very strongly with LCI (p=0.0001), suggesting that the spatial distribution of defects in the 129Xe images represents obstructed areas of the lung that give rise to elevated LCI.

1186
13:48
Quantitative ventilation-perfusion imaging using co-registered hyperpolarized gas and contrast enhanced 1H perfusion MRI
Paul John Clifford Hughes1, Bilal Tahir1,2, Felix C. Horn1, Alberto Biancardi1, Rob Ireland2, Helen Marshall1, and Jim Wild1,3

1POLARIS, Academic Unit of Radiology, University of Sheffield, Sheffield, United Kingdom, 2Academic Unit of Clinical Oncology, University of Sheffield, Sheffield, United Kingdom, 3Insigneo Institute for in silico Medicine, Sheffield, United Kingdom

Analysis of the matching of ventilation and perfusion using MRI is an important area of research in the pulmonary MRI community. This work presents a quantitative method of voxelwise analysis of ventilation from hyperpolarized gas MRI and perfusion from dynamic contrast enhanced 1H MRI. The method developed allows for direct comparison of ventilation and perfusion including global measurements of ventilated and perfused volume.

1187
14:00
Oxygen-enhanced pulmonary relaxometry using ultra-fast steady-state free precession imaging
Grzegorz Bauman1,2, Orso Pusterla1,2, Francesco Santini1,2, and Oliver Bieri1,2

1Division of Radiological Physics, Department of Radiology, University of Basel Hospital, Basel, Switzerland, 2Department of Biomedical Engineering, University of Basel, Basel, Switzerland

This study demonstrates the feasibility of fast and simultaneous T1 and T2 mapping of the lung parenchyma in oxygen-enhanced MRI. The data acquisition was performed using an adapted 2D inversion recovery ultra-fast steady-state free precession imaging in healthy human subjects. Relaxation time maps were generated for normoxic and hyperoxic acquisitions. Statistical analysis was performed to compare the relaxation times in the lung parenchyma for both gas conditions.

1188
14:12
Investigating regional pulmonary structure-function relationships using hyperpolarized 129Xe MRI and ultra-short echo-time MRI
Robert P Thomen1, Laura L Walkup1, David J Roach1, Zackary I Cleveland1, John Paul Clancy2, and Jason C Woods1

1Center for Pulmonary Imaging Research, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States, 2Pulmonology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States

We have quantified the extent of ventilation impairment in lungs due to specific pathologies associated with cystic fibrosis (CF) lung disease using ultrashort echo-time (UTE) MRI to identify structural abnormalities and hyperpolarized (HP) 129Xe MRI to identify ventilation deficits. We found that bronchiectasis demonstrates the best correlation with lung function decline, as measured by the percent predicted forced expiratory volume in 1 second (FEV1% predicted) and demonstrated the greatest deficit in HP 129Xe signal within corresponding defective regions. However, the greatest volume-percentage of defects identified were due to mucus plugging.

1189
14:24
Respiratory self-gating and estimation of gas/proton fractions in SF6 and proton lung imaging in free-breathing mice
Marta Tibiletti1 and Volker Rasche2

1Core Facility Small Animal MRI, Ulm University, Ulm, Germany, 2Internal Medicine II, University Hospital of Ulm, Ulm, Germany

Fluorinated gases are a promising alternative to hyperpolarized gases to study ventilation in clinical and preclinical applications. 3D Ultra Short Echo Time (UTE) acquisitions can be employed to visualize inhaled SF6 and lung parenchyma. DC self-gating was applied to discriminate between inspiration and expiration in free-breathing acquisitions. Proton and gas density were estimated in inspiration, expiration and in ungated data. The information derived from tissue-density changes matched the changes observed in the gas density, thus indicating the ventilation information can be derived from tissue density mapping.

1190
14:36
Pulmonary MRI Ventilation Defects in Asthma: Stochastic or Deterministic?
Rachel L Eddy1, Dante PI Capaldi1, Khadija Sheikh1, Sarah Svenningsen1, David G McCormack2, and Grace Parraga1

1Robarts Research Institute, London, ON, Canada, 2Division of Respirology, The University of Western Ontario, London, ON, Canada

Pulmonary MRI provides strong evidence of ventilation abnormalities that are temporally and spatially persistent; this has generated a paradigm shift in our understanding of asthma as a spatially and temporally heterogeneous, non-stochastic disease.  Based on these findings, here our objective was to develop image-processing methods to estimate and mathematically describe the spatial probability distribution of MRI-derived ventilation defects. To accomplish this, we generated functional lung MRI atlases based on asthmatics who were evaluated before and post-methacholine using hyperpolarized 3He static-ventilation MRI. This proof-of-concept evaluation showed that in asthmatics, ventilation abnormalities are not diffuse nor stochastic, but heterogeneous and deterministic. 

1191
14:48
Proton Density and R2* Estimation of Neonatal Lung Parenchyma During Free Breathing with UTE MRI
Andrew Hahn1, Nara Higano2,3, Jean Tkach4, Laura Walkup2, Robert Thomen2, Xuefeng Cao2,5, Stephanie Merhar6, Jason Woods2,3, and Sean Fain1

1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Center for Pulmonary Imaging Research, Division of Pulmonary Medicine and Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States, 3Department of Physics, Washington University in St. Louis, St. Louis, MO, United States, 4Imaging Research Center, Department of Radiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 5Department of Physics, University of Cincinnati, Cincinnati, OH, United States, 6Perinatal Institute, Division of Neonatology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States

The majority of patients in the neonatal intensive care unit (NICU) have pulmonary morbidities, yet little is known about the underlying parenchymal structure.  We quantify parenchymal proton density and R2* in the lungs of quiet breathing, non-sedated neonates in the NICU using a multi-echo 3D radial UTE MRI.  Results indicate that lung proton density decreases as expected with lung inflation, while R2* increases.  A positive relationship between gravitational dependence and tissue density is also apparent, while R2* decreases in more gravitationally dependent regions.  Overall, our findings support a negative relationship between tissue density and R2* in the neonatal lung. 


Combined Educational & Scientific Session

Body DWI

Organizers: Kathryn Fowler, M.D., Kartik Jhaveri, M.D., F.R.C.P.C. & Lorenzo Mannelli, M.D., Ph.D.

Room 316BC Thursday 13:00 - 15:00 Moderators: Hersh Chandarana & Giuseppe Palma

13:00
Liver DWI
Satoshi Goshima1

1Radiology, Gifu University Hospital, Gifu City, Japan

N.A.

1192
13:20
Efficient IVIM of the Liver using Convex Optimized Diffusion Encoding Waveforms With Variable Flow Encoding Strengths
Kévin Moulin1, Eric Aliotta1,2, and Daniel B. Ennis1,2

1Department of Radiological Sciences, University of California, Los Angeles, CA, United States, 2Biomedical Physics IDP, University of California, Los Angeles, CA, United States

Accounting for the flow encoding strength α in addition to the b-value in the Intra-Voxel Incoherent Motion (IVIM) technique enables robust perfusion estimation. However, this approach still requires long scan times and α is dependent on both the diffusion encoding waveform and the b-value. In this study, waveforms were generated using the convex diffusion encoding (CODE) framework and led to a range of α for a given b-value. By sampling of flow- and diffusion-encoding space, capillary blood velocity (Vb), perfusion fraction (f) and true diffusion (D) was estimated with higher precision without any cost in time compared to conventional IVIM.

1193
13:32
IVIM virtual MR elastography of the liver
Denis Le Bihan1, Shintaro Ichikawa2, and Utaroh Motosugi2

1NeuroSpin, I²BM/CEA-Saclay, Gif-sur-Yvette, France, 2Radiology Department, Yamanashi University, Kofu, Japan

We have investigated the potential of diffusion MRI to provide quantitative estimates of tissue stiffness and compared results with those obtained by standard MR elastography (MRE). We revealed that water diffusion, calculated from 2 key b values, can be directly and quantitatively converted into shear stiffness without using mechanical vibrations. Propagating shear waves can also be simulated leading to a new elasticity-driven IVIM attenuation contrast. Such virtual elastograms give a variety of contrasts by simulating various ranges of vibration frequencies and amplitudes or MRI gradient strengths not limited by MRE hardware capacities.

13:44
Prostate DWI
Daniel Margolis1

1Department of Radiology, Weill Cornell Medical College, New York, NY, United States

Diffusion-weighted imaging has gone from being a research tool to a correlate of cancer aggressiveness to a mainstay in routine prostate magnetic resonance imaging. From the basic components required for clinically useful imaging, to esoteric and technically demanding pulse sequences that tantalize us with the potential of obviating tissue diagnosis, diffusion-weighted imaging of the prostate runs the gamut from the mundane to the sublime.

1194
14:04
Gaussian and non-Gaussian diffusion models for Differential Diagnosis of Prostate Cancer with in bore Transrectal MR-Guided Biopsy as a Pathological Reference
Chunmei Li1, Min Chen1, and Bing Wu2

1Beijing Hospital, Beijing, People's Republic of China, 2GE Healthcare, China

This study is to compare the utility of various metrics derived from different models based DWI and DKI in the differential diagnosis of prostate cancer. ADC, ADCslow, DDC, and MD values were significantly lower while MK value was significantly higher in prostate cancer lesions than those of prostatitis and BPH. Parameters derived from both Gaussian and non-Gaussian models could characterize prostate cancer. Diagnosis performance benefit was observed for DKI model as compared to MEM. 

1195
14:16
In-vivo Reproducibility of Quantitative Diffusion MRI in the Prostate using Reduced Field-of-View and Multi-shot Acquisitions
Yuxin Zhang1,2, James H. Holmes2, Arnaud Guidon3, Shane A Wells2, and Diego Hernando1,2

1Medical Physics, University of Wisconsin, Madison, Madison, WI, United States, 2Radiology, University of Wisconsin, Madison, Madison, WI, United States, 3MR Applications & Workflow, GE Healthcare, Boston, MA, United States

Novel diffusion weighted MRI pulse sequences based on reduced FOV (rFOV) and multi-shot echo-planar imaging (msEPI), respectively, have been proposed to reduce distortions present in standard single-shot EPI. In this study, the quantitative reproducibility of prostate diffusion measurements with rFOV and msEPI is investigated with healthy volunteers. Diffusion parameters were estimated from different sequences (ssEPI, rFOV, msEPI), b-value groups, and diffusion models (mono-exponential, stretched exponential and kurtosis). Measurements from rFOV and msEPI are in good agreement with the standard ssEPI, demonstrating reproducibility across pulse sequences.

14:28
Renal DWI
Harriet Thöny1

1University of Bern


1196
14:48
Subtype Differentiation of Small (< 4 cm) Solid Renal Mass Using Histogram Analysis of Reduced Field-of-View Diffusion Weighted MRI at 3-T
Anqin Li1, Zhen Li1, Haojie Li1, and Daoyu Hu1

1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China

To evaluate the utility of volumetric histogram analysis originated from reduced field-of-view (r-FOV) diffusion-weighted (DW) imaging for small (< 4cm) solid renal mass subtypes at 3-T MR. Differences of ADC histogram parameters among different subtypes of renal tumor were compared. Benign tumors had significantly lower mean ADC, median ADC, 10th, 25th, 75th, 90th percentiles ADC, SD and entropy values compared to malignant tumors. ADC histogram analysis of the entire lesion was complementary to the mean ADC measure and may have a certain value to help differentiate the majority of subtypes of small solid renal tumor.


Study Groups

PET-MRI Study Group

Room 323ABC Thursday 15:30 - 17:30 (no CME credit)


Study Groups

Reproducible Research Study Group

Room 317AB Thursday 15:30 - 17:30 (no CME credit)


Educational Course

Imaging in Joint Health & Disease

Organizers: Jenny T. Bencardino, M.D., Eric Y. Chang, M.D., Christine Chung, M.D. & Philip Robinson, M.D.

Room 314 Thursday 15:30 - 17:30 Moderators: Emad Almusa & Karen Chen

15:30
Rotator Cuff Arthropathy
James Griffith


16:00
Osteoarthritis
Sharmila Majumdar1

1Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States

This session will cover quantitative MR imaging methods applied in the assessment of knee and hip osteoarthritis. It will explore the connection between making metrics, gait, skeletal biomechanics and diseases severity and progression. 

16:30
Crystal Deposition Disease
Marcelo Abreu1

1Hospital Mae de Deus

Several crystals (urate, CPPD and hydroxyapatite) can deposit in tissues of the musculoskeletal system in asymptomatic individuals. I in some cases, those deposits can be associated with diseases such as Gout, Pseudogout and Calcific Tendinitis. MRI examination can be very useful in the diagnosis of such entities, differential diagnosis and help treatment decisions.

17:00
Sacroiliac Joint Disorders
Mary Jesse


17:30
Adjournment & Meet the Teachers


Educational Course

Wait Wait… Don't Tell Me!: MRI Artifacts!

Organizers: Adrienne E. Campbell-Washburn, Ph.D., Michael S. Hansen, Ph.D., Eric G. Stinson, Ph.D., & Dominik Von Elverfeldt, Dr.Rer.Nat.

Room 316A Thursday 15:30 - 17:30 Moderators: Adrienne Campbell-Washburn & Eric Stinson

15:30
MRI Artifact Game Show


Oral

Frontiers in Reconstruction

Room 310 Thursday 15:30 - 17:30 Moderators: Dong Liang & Claudia Prieto

1197
15:30
Trajectory Correction of Radial Data Using MUSSELS
Merry Mani1, Sunrita Poddar2, Vincent Magnotta1, and Mathews Jacob2

1Department of Radiology, University of Iowa, Iowa City, IA, United States, 2Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, United States

Radial acquisitions are time efficient and flexible and enable several MR imaging applications. However, the sensitivity of radial acquisitions to trajectory deviations can result in severe artifacts in the images. We propose a trajectory correction method that can reconstruct the images for the ideal trajectory without the need for trajectory estimation or calibration.

1198
15:42
Echo-planar imaging with wave-CAIPI acquisition and reconstruction
Benedikt A Poser1, Berkin Bilgic2, Borjan A. Gagoski3,4, Kâmil Uludağ1, V Andrew Stenger5, Lawrence L Wald2,6,7, and Kawin Setsompop2,6

1Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 3Department of Radiology, Harvard Medical School, Boston, MA, United States, 4Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children’s Hospital, Boston, MA, United States, 5Department of Medicine, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI, United States, 6Harvard Medical School, Boston, MA, United States, 7Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States

wave-CAIPI allows for high undersampling factors and hence acquisition speed-up in anatomical imagines sequences including 3D GRE, 2D SMS-TSE and MP-RAGE (3D TFL). The coil array’s full 3D sensitivity encoding is exploited, resulting in negligible g-factor penalties even in highly accelerated scans. Echo-planar imaging (EPI) sequences, both 2D and 3D EPI with Cartesian blipped-CAIPI have recently brought tremendous speed-up to BOLD and diffusion imaging in the neurosciences. We here explore the potential of going beyond blipped-CAIPI EPI by incorporating sinusoidal z- and y- gradient wave perturbations into the EPI readout.  Initial results are shown for 3D wave-CAIPI EPI at 7T.

1199
15:54
Low-rank plus sparse tensor reconstruction for high-dimensional cardiac MRI
Rebecca Ramb1, Michael Zenge2, Li Feng1, Matthew Muckley1, Christoph Forman3, Leon Axel1, Dan Sodickson1, and Ricardo Otazo1

1Department of Radiology, New York University School of Medicine, New York, NY, United States, 2Siemens Medical Solutions USA, Inc., Malvern, PA, United States, 3Siemens Healthcare GmbH, Erlangen, Germany

The recently proposed general low rank tensor framework enabled a paradigm change, where data acquisition and image reconstruction are represented in a higher-dimensional space. The overall data space is sampled only as different states randomly coincide, which leads to data gaps. These gaps can introduce challenges in spatiotemporal fidelity for only low-rank- or only sparsity-based reconstructions. Here, a $$$\mathcal{L}+\mathcal{S}$$$ tensor decomposition is investigated, which offers a more robust solution as the sparse component captures updates on top of the overall dynamics represented in the low-rank component. A free-breathing, T1-sensitive cardiac MRI with real-time Cartesian data acquisition over multiple cardiac and inversion recovery phases is employed to investigate potentials for comprehensive cardiac MRI, including for instance late gadolinium scar cine imaging.

1200
16:06
Extended Hybrid-SENSE: off-resonance and eddy corrected joint blip up/down reconstruction with reduced g-factor penalty
Benjamin Zahneisen1, Murat Aksoy1, Julian Maclaren1, Christian Wuerslin1, and Roland Bammer1

1Stanford University, Stanford, CA, United States

Geometric distortions caused by off-resonant spins are a major issue in EPI based functional and diffusion imaging. We present a novel approach to the problem of geometric distortions. An extension of the model-based, algebraic hybrid-SENSE reconstruction method in combination with a known fieldmap, calculated from blip up/down scans, allows for correction of off-resonance effects during the reconstruction. This enables a joint blip up/down reconstruction that significantly reduces g-factor penalty if the blip-down trajectory is chosen to fill in missing k-space samples from the blip-up scan. The resulting high SNR images are automatically eddy-current corrected and geometric distortions are minimized.

1201
16:18
General Phase Regularized Reconstruction with Phase Cycling
Frank Ong1, Joseph Cheng2, and Michael Lustig1

1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 2Department of Radiology, Stanford University, Stanford, CA

We present  a general phase regularized image reconstruction method that is robust to phase wraps in initial solutions, with application to partial Fourier imaging, chemical shift imaging and flow imaging.  The problem of constraining phase structures in reconstruction was studied under a regularized inverse problem framework. Since phase regularized reconstruction is inherently non-convex and sensitive to phase wraps in the initial solution, a reconstruction technique, named phase cycling, was proposed. The proposed method was applied to in vivo datasets and compared with state of the art reconstruction methods.  The proposed phase cycling reconstruction provides an alternative way to perform phase regularized reconstruction, without the need of performing phase unwraping. It is robust to the choice of initial solutions and flexible to incorporate into different phase imaging applications. 

1202
16:30
Accelerated J-Resolved MRSI Using Joint Subspace and Sparsity Constraints
Fan Lam1, Bowen Cheng2, and Zhi-Pei Liang1,2

1Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States

A new reconstruction method for accelerated J-resolved MRSI acquisitions is proposed. The proposed method performs a joint reconstruction from the data acquired with multiple echo times (TEs), using a formulation that integrates a subspace representation of the entire J-resolved spatiospectral function and a joint sparsity constraint exploiting the correlation across different TEs. Both simulation and in vivo experiments have been performed to evaluate the proposed method, demonstrating its superior performance over methods using joint sparsity or subspace constraint alone.

1203
16:42
Accurate, Rank-Adaptive Reconstruction of Undersampled Dynamic MRI Data Using Bayesian Information Criterion
Julia Velikina1 and Alexey Samsonov2

1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Radiology, University of Wisconsin - Madison, Madison, WI, United States

Dynamic MRI must contend with imaging time limits imposed by physiological and physical constraints. Methods promoting low-rank solutions have become increasingly popular for dynamic MRI acceleration due to their ability to reconstruct from limited data. In this work we present a novel model-based reconstruction approach exploiting statistical machinery to spatially adapt the model to underlying signal. It overcomes deficiencies of low-rank techniques to preserve complex temporal dynamics of physiological processes.

1204
16:54
Low Rank Approximation of High Resolution MRF through Dictionary Fitting
Mingrui Yang1, Yun Jiang2, Mark Griswold1, and Debra McGivney1

1Department of Radiology, Case Western Reserve University, Cleveland, OH, United States, 2Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States

One of the challenges MRF faces is the amount of data needed to be stored, loaded, and processed, especially when a high resolution dictionary is needed or large multi-dimensional analyses need to be taken into account. A low rank approximation to the high resolution MRF dictionary using a coarse dictionary is an effective remedy to this problem. Here we present one of many possible ways to implement low rank approximation to an arbitrary fine MRF dictionary by a coarse dictionary equipped with polynomial fitting, so as to avoid the need of pre-calculating, storing, and processing the large, finely-resolved MRF dictionary.

1205
17:06
Accelerated z-Spectrum Imaging
Melany Mclean1, Matthew Ethan MacDonald2, R. Marc Lebel1,2,3, Mathieu Boudreau4, and Bruce Pike2

1Biomedical Engineering, University of Calgary, Calgary, AB, Canada, 2Radiology, University of Calgary, Calgary, AB, Canada, 3GE Healthcare, Calgary, AB, Canada, 4Montreal Neurological Institute, McGill University, Montreal, QC, Canada

Long acquisition times preclude many potential applications of z-spectrum based imaging techniques, and have hindered their widespread use. Using SparseSENSE, a combined parallel imaging and compressed sensing acceleration technique, we present a method to reduce the acquisition time of z-spectrum images by a factor of 16. Z-spectrum images have been retrospectively undersampled to simulate 2-20× acceleration factors. Sparsifying reconstruction algorithms enable high quality image reconstructions for ambitious acceleration factors and are shown to maintain z-spectrum accuracy.

1206
17:18
Reconstruction of DCE tracer kinetic parameters from under-sampled data with a flexible model consistency constraint
Yi Guo1, Sajan Goud Lingala1, and Krishna S Nayak1

1Electrical Engineering, University of Southern California, Los Angeles, CA, United States

Recently, it has been shown that DCE-MRI tracker-kinetic (TK) parameter maps can be directly estimated from under-sampled (k,t)-space data. Two major limitations of this approach are that 1) the gradient of a complicated cost function with respect to each TK parameter needs to be computed, and 2) it does not allow for any TK model deviation in the data. In this work, we present an alternative formulation where instead of forcing every voxel to follow the selected TK model, the model consistency is used as a constraint with a weighting penalty. This method is uniquely compatible with the use of multiple or nested TK models, and we show that it provides more accurate TK parameter restoration.


Oral

Susceptibility & QSM : Applications & Techniques

Room 311 Thursday 15:30 - 17:30 Moderators: Karin Shmueli & Hongfu Sun

1207
15:30
Assessing the cellular distribution of iron in deep gray matter based on R2* and Quantitative Susceptibility Mapping (QSM) - Application to healthy controls and patients with Multiple Sclerosis (MS)
Yanis Taege1, Robert Zivadinov1,2, Jannis Hanspach1, Jesper Hagemeier1, Michael G Dwyer1, Balint P Sule1, Nicola Bertolino1, Dhaval Shah1, Dejan Jakimovski1, Niels P Bergsland1,3, Bianca Weinstock-Guttman4, and Ferdinand Schweser1,2

1Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States, 2MRI Clinical and Translational Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States, 3MR Research Laboratory, IRCCS, Don Gnocchi Foundation ONLUS, Milan, Italy, 4BairdMS Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, The State University of New York at Buffalo, Buffalo, NY, United States

This work introduces a clinically applicable technique to assess the cellular distribution of iron based on R2* and Quantitative Susceptibility Mapping (QSM). The method was applied to 68 MS patients and 29 controls, showing significant differences in the cellular iron distribution with age and disability.

1208
15:42
Correlations of beta-Amyloid and brain iron load (QSM): preliminary results of simultaneous assessment in a large sample
Jiri MG van Bergen1, Xu Li2, Frances-Catherine Quevenco1, Sandra Leh1, Anton F Gietl1, Valerie Treyer1,3, Rafeal Meyer1, Alfred Buck3, Roger M Nitsch1, Peter CM van Zijl2, Christoph Hock1, and Paul G Unschuld1

1Institute for Regenerative Medicine, University of Zurich, Zurich, Switzerland, 2F.M. Kirby center for Functional Brain Imaging, Kennedy Krieger Institute and Johns Hopkins School of Medicine, MD, United States, 3Department of Nuclear Medicine, University of Zurich, Switzerland

To extend findings on the use of QSM in Alzheimer’s Disease and possible direct interactions with Amyloid-β, this study is investigating a growing sample of elderly subjects using simultaneous assessment of Amyloid-PET for Aβ-load and QSM for estimation of iron load (indicated by susceptibility) using a combined PET-MRI instrument.

Our preliminary data suggests a significant correlation between susceptibility and Aβ in subjects with high brain Aβ load or clinically diagnosed Mild Cognitive Impairment, in several cortical and sub-cortical regions. The sample is expected to grow considerably in the upcoming months.


1209
15:54
Discrimination of volumes with positive and negative functional QSM activation within fMRI-positive volumes in high-resolution, high-field task-based and resting-state data
Pinar Senay Özbay1,2, Lars Kasper2, Klaas Paul Pruessmann2, and Daniel Nanz1

1Department of Radiology, University Hospital Zürich, Zurich, Switzerland, 2Institute of Biomedical Engineering, ETH Zürich, Zurich, Switzerland

In this work, we wanted to explore the bidirectional activation in functional Quantitative Susceptibility Mapping (fQSM) via Independent Component Analysis (ICA) in various cases, hence we included i) visual paradigm, ii) motor task and iii) resting state experiments with high-resolution data acquired at 7-Tesla. We investigated the behavior in terms of activation patterns and temporal evaluations of functional-PHASE, fQSM and traditional fMRI. Furthermore, we compared regions of activation with phase-contrast-angiography data. In all scenarios, we have found out that the total (positive + negative) activated area in fQSM was well matching with positive activation in fMRI.

1210
16:06
Magnetic Susceptibility Anisotropy of Collagen Fibrils in the Articular Cartilage
Hongjiang Wei1, Kyle Decker 2, Yuyao Zhang1, and Chunlei Liu1

1Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, United States, 2Center for In Vivo Microscopy, Duke University, Durham, NC, United States

Articular cartilage with depth dependent ultra-layer structure is constructed by collagen fibrils, which is shown by histology having three distinct layers: the fibrils are mostly parallel to the surface, randomly distributed and mostly oriented perpendicular to the surface in superficial zone, middle zone and deep zone, respectively. Quantitative susceptibility mapping is particularly sensitive to molecular content and cellular arrangement, thus is suitable to probe such highly organized microstructure and evaluate its magnetic susceptibility. Our study shows a clear B0-orientation-dependent susceptibility contrast in the articular cartilage and that the collagen fibril orientations can be well measured by susceptibility tensor imaging.

1211
16:18
Quantitative Susceptibility Mapping (QSM) Overcomes R2* Confounding Factors for Measuring Liver Iron
Jianqi Li1, Qi Song2, Tian Liu3, Zhuwei Zhang4, Martin R Prince3, Kelly Gillen3, Xu Yan5, Shu Cheng6, Ting Hua4, Xiance Zhao1, Miao Zhang1, Yu Zhao1, Gaiying Li1, Guangyu Tang4, Guang Yang1, Gary M Brittenham7, and Yi Wang1,3,8

1Shanghai Key Laboratory of Magnetic Resonance and Department of Physics, East China Normal University, Shanghai, People's Republic of China, 2Department of Radiology, Ruijin Hospital,Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China, 3Department of Radiology, Weill Medical College of Cornell University, New York, New York, United States, 4Department of Radiology, Shanghai Tenth People's Hospital Affiliated to Tongji University, School of Medicine, Shanghai, People's Republic of China, 5MR Collaboration NE Asia, Siemens Healthcare, Shanghai, People's Republic of China, 6Department of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China, 7Department of Pediatrics, Columbia University, New York, New York, United States, 8Department of Biomedical Engineering, Cornell University, Ithaca, New York, United States

A major challenge in the R2 and R2* methods for mapping liver iron content is that they can be confounded by fat, fibrosis and other changes in cellularity that are known to contribute to R2 and R2*. In this paper, the fat contribution to liver susceptibility was estimated and removed from the measured liver susceptibility with validation on a gadolinium-fat-water phantom. In patients, fat-corrected QSM was found to be insensitive to liver diseases including fat and tumor, which had extensive effects on R2*. Therefore, QSM can overcome confounding factors in R2* for mapping liver iron content.

1212
16:30
The effect of white matter fiber orientation in Quantitative Susceptibility Mapping at 7T
Marta Lancione1, Mauro Costagli2, Graziella Donatelli1, Mirco Cosottini1, and Michela Tosetti2,3

1University of Pisa, Pisa, Italy, 2Imago7 Research Center, Pisa, Italy, 3IRCCS Stella Maris, Pisa, Italy

The tensorial nature of magnetic susceptibility affects frequency-shift images and quantitative maps (QSM), whose reliability should be questioned. Three healthy volunteers underwent 7T MRI exams including diffusion tensor imaging (DTI) and three QSM acquisitions, each with different orientation of the head. In order to assess the effect of susceptibility anisotropy, we sorted brain voxels depending on their fractional anisotropy (FA) and, by plotting their QSM values against the angle between the static field and the eigenvector corresponding to the largest eigenvalue in DTI, we observed an empirical threshold of FA that reflects the reliability of susceptibility measures.

1213
16:42
Signal compartments modelled from 7T multi-echo GE data showed variation across the corpus callosum
Kiran Thapaliya1, Steffen Bollmann1, Viktor Vegh1, and Markus Barth1

1University of Queensland, St. Lucia, Australia

Quantitative assessment of myelin water fraction using a multi-compartment model can be useful to improve our understanding of white matter diseases. Our work aims to explore tissue microstructure information contained in voxel signals by analysing voxel compartment volume fraction, frequency shift and $$$T_2^*$$$ from data acquired at 7T. We performed our analysis across from the rostrum to the splenium of corpus callosum. Parameterisation of tissue characteristics can potentially delineate structural and chemical changes in tissue with biologically meaningful information. This in turn provides a framework for new imaging biomarker development in neurodegenerative diseases and disorders, such as multiple sclerosis

1214
16:54
Nuclear susceptibility shift
Seung-Kyun Lee1,2, Jinil Park1,2, Jeongtaek Lee1,2, and Jang-Yeon Park1,2

1Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of, 2Center for Neuroscience Imaging Research (CNIR), Institute for Basic Science, Suwon, Korea, Republic of

We have observed in a clinical scanner that the center frequency of water MRI changed with the 1H spin flip angle. The amount of the change could be explained by the tip-angle dependent nuclear spin paramagnetic susceptibility, much the same way as the usual, tissue electronic para- and dia-magnetic susceptibility induces B0 shift in MRI. The observed shift, corresponding to nuclear susceptibility of +0.004 ppm in water, may affect the ultimate accuracy of MR-based tissue magnetic susceptibility measurements if not properly accounted for.

1215
17:06
An interleaved sequence for simultaneous MRA, SWI and QSM
Yongsheng Chen1,2, Saifeng Liu3, Yan kang1, and E. Mark Haacke1,2,3,4

1Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, People's Republic of China, 2Department of Radiology, Wayne State University, Detroit, MI, United States, 3The MRI Institute for Biomedical Research, Waterloo, ON, Canada, 4The MRI Institute for Biomedical Research, Detroit, United States

MRA, SWI and QSM are important for identifying thrombus, hemorrhage, CMBs and assessing oxygen saturation and iron deposition in diseases such as stroke and traumatic brain injury (TBI). Practically, it is important to acquire these data with sufficient resolution, good SNR, co-registered and rapidly. Therefore, we developed a 3D interleaved GRE sequence that produces MRA, SWI, R2* and QSM for imaging arteries, veins and the basal ganglia in 4 minutes at 3T for the entire brain with a resolution of 0.67x1.33x2.0mm3. Five healthy volunteers’ data were acquired approved by the local IRB to demonstrate the utility of this approach.

1216
17:18
Quantitative Susceptibility Mapping from Unsuppressed Water Signals in 1H-MRSI Data
Xi Peng1,2, Fan Lam2, Bryan Clifford2,3, Yudu Li2,3, and Zhi-Pei Liang2

1Shenzhen Institutes of Advanced Technology, Shenzhen, People's Republic of China, 2Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, IL, United States, 3Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL, United States

This work presents a new method to extract QSM from the unsuppressed water signals in 1H-MRSI data and enables  simultaneous MRSI and QSM in a single acquisition. The proposed method builds on the recently proposed subspace imaging method called SPICE (SPectroscopicImaging by exploiting spatiospectral CorrElation), which allows MRSI acquisition without water suppression, thus encoding susceptibility induced phase variations in the water spectroscopic signals. Parallel imaging, subspace-based modeling and constrained reconstruction are integrated to generate QSM and high-resolution MRSI reconstruction from such data. In-vivo experiment results demonstrate the capability of proposed method in producing susceptibility map along with metabolite spatiospectral distributions from a single 6-minute scan.


Oral

Highly Parallel RF Systems

Room 312 Thursday 15:30 - 17:30 Moderators: Mary McDougall & Bei Zhang

1217
15:30
Towards massively parallel multi-transmit for body imaging at 7 T
Bart R. Steensma1, J. Nuno Teixeira1, Ingmar Voogt1, Luijten R. Peter1, Dennis W.J. Klomp1, van den Berg A.T. Nico2, and Alexander J.E. Raaijmakers1,3

1Division Imaging, Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands, 2Division Imaging, Department of Radiotherapy, University Medical Center Utrecht, Utrecht, Netherlands, 3Biomedical Image Analysis, Eindhoven University of Technology, Eindhoven, Netherlands

A simulation study was done to assess optimal transmit setups for massively parallel (up to 32 channels) transmit body imaging at 7 tesla. Moving from 8 to 24 and 32 dipole setups increases transmit efficiency on a pelvis-shaped phantom. Our current multitransmit system was adapted to obtain 24 semi-phase controlled channels. A 24 channel transmit setup consisting of small dipoles was constructed and tested on a male volunteer. 

1218
15:42
An integrated 32-channel transmit and 64-channel receive 7 tesla MRI system
Edward Auerbach1, Lance DelaBarre1, Pierre-Francois Van de Moortele1, John Strupp1, Rene Gumbrecht2, Andreas Potthast2, Georg Pirkl2, Steen Moeller1, Brian Hanna1, Andrea Grant1, Gregor Adriany1, and Kâmil Uğurbil1

1Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 2Siemens Healthcare, Erlangen, Germany

At 7T, commercial MRI systems are currently available with a maximum of 8-16 transmit channels and 32 receive channels. To explore the potential benefits of increasing these numbers, which have been predicted by prior experimental and simulation work, we have developed and installed 32-channel RF transmitter and 64-channel receiver upgrades for a standard 7T commercial MRI system. These additions have been fully integrated into the system in a way that they can be reliably employed for routine studies without requiring significant workflow modifications or special user training.

1219
15:54
A 32-channel transmit system add-on for 7 Tesla body imaging
Stephan Orzada1, Andreas K. Bitz2, Marcel Gratz1,3, Sören Johst1, Samaneh Shooshtary4, Maximilian N. Voelker1, Stefan H. G. Rietsch1,3, Martina Flöser2, Ashraf Abuelhaija4, Mark Oehmigen3, Sascha Brunheim1,3, Thomas M. Fiedler2, Oliver Kraff1, Harald H. Quick1,3, Klaus Solbach4, and Mark E. Ladd1,2

1Erwin L. Hahn Institute for MRI, University Duisburg-Essen, Essen, Germany, 2Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 3High-Field and Hybrid MR Imaging, University Hospital Essen, Essen, Germany, 4RF & Microwave Technology, University Duisburg-Essen, Duisburg, Germany

At ultra-high field, severe transmit field inhomogeneities affect the quality of imaging. To cope with this, multi-channel solutions are necessary. In this work we present an add-on 32-channel transmit system including an integrated transmit/receive body coil for large field of view imaging. First phantom and in-vivo results are shown. A 50 cm field of view can be achieved and the system is capable of 100 kHz sampling, allowing parallel spatially selective transmit pulses for in-vivo imaging.

1220
16:06
A 64 Channel 3T Array Coil for Highly Accelerated Fetal Imaging at 22 Weeks of Pregnancy
Mark Spatz1,2, Pablo García-Polo1,3, Boris Keil1, Christopher Ha4, and Lawrence L. Wald1,5

1A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States, 2Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, United States, 3M+Visión Advanced Fellowship, Hospital Universitario de Fuenlabrada, Madrid, Spain, 4Boston Children’s Hospital, Boston, MA, United States, 5Harvard Medical School, Boston, MA, United States

MRI is an attractive tool for fetal imaging due to its unique ability to provide detailed anatomical and physiological data in an inherently safe manner. In practice, fetal MRI is limited by fetal motion, inherently poor SNR in the maternal abdomen, and widely varying body shapes. A 64 channel receive array designed to conform to a range of body shapes at 22 weeks of pregnancy was built and tested. Compared to standard product arrays, the coil provides 5% better SNR in the fetal brain region of an anthropomorphic phantom and allows increasing SENSE acceleration factor from R=4 to R=5.

1221
16:18
Receive Coil Array Considerations for Simultaneous Multislice Imaging in Cardiac MRI
Robin Etzel1, Laleh Golestanirad2, Choukri Mekkaoui2, Timothy G Reese2, David E Sosnovik2, Andreas H Mahnken3, and Boris Keil1

1Institute of Medical Physics and Radiation Protection, Department of Life Science Engineering, Mittelhessen University of Applied Sciences (THM), Giessen, Germany, 2A.A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 3Philipps University of Marburg, Department of Diagnostic and Interventional Radiology, Marburg, Germany

Receiver coil array simulation within realistic constrains are helpful for decision-making in coil design, especially when the array comprises many surface coil elements. Three coil array arrangements utilizing 64 loop elements were systematically evaluated regarding their encoding capabilities for accelerated simultaneous multi-slice cardiac acquisitions. Loop arrays consisting of small loop element near target region, but large once beyond the heart, seems to be best-suited for highly accelerated cardiac MRI.

1222
16:30
A 32-channel loop-dipole transceiver array for body imaging at 7.0 Tesla
M. Arcan Erturk1, Xiaoping Wu1, Gregor Adriany1, Pierre-Francois Van de Moortele1, Edward J Auerbach1, Andrea Grant1, Kamil Ugurbil1, and Gregory J Metzger1

1Radiology, University of Minnesota, Minneapolis, MN, United States

A 32-channel transmit/receive (transceiver) body array (32LD) was developed by combining eight dipole elements with 24 loops, 3 each stacked lengthwise under each dipole. The transmit/receive performance was compared against a 16-channel loop-dipole (16LD) array in numerical simulations and phantom experiments. The 32LD had improved SNR near the surface and enabled accelerations in foot-head dimension as expected. Inside deeply situated organs, SNR of 32LD was comparable to 16LD. Furthermore, the 32LD had ~30% higher local SAR than the 16LD with single-spoke RF shimming inside the kidneys and torso. High channel count body imaging arrays can be developed by combining dipoles and loops with geometric decoupling.

1223
16:42
In-vivo (8x4) 32-ch Tx-only Body Array for UHF MRI.
Shailesh B. Raval1,2, Tales Santini3, Sossena Wood3, Narayanan Krishnamurthy3, Tiejun Zhao4, and Tamer S. Ibrahim5,6

1Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 2Radiology, University of PIttsburgh, Pittsburgh, PA, United States, 3Bioengineering, University of Pittsburgh, 4MR Research & Collaboration, Siemens Healthineers, NY, 5Bioengineering, University of Pittsburgh, PA, 6Radiology, University of PIttsburgh

The Clinical and Research potential of MRI especially for Whole Body imaging is limitless.  Body MR exams are growing part of total clinical MRI exams today.  It however faces considerable challenges such as significant rise in RF power deposition  in tissue and daunting high field inhomogeneities/signal voids across the anatomy of interest most especially at 7T and higher.  This study aims at utilizing the intrinsic sensitivity advantage of 7T by exploring a 32-ch transmit coil design in order to generate a circularly polarized field with homogeneous and extended coverage in abdominal/body regions (liver, kidney, and abdomen in general) at 7T.  

1224
16:54
Sub-Millimeter Cortical Imaging at 7T using a High-Density Motor-Cortex 32-Channel Array Coil
Boris Keil1, Charlotte Sappo2, Berkin Bilgic2, Jonathan R Polimeni2,3, Laleh Golestanirad2, Robin Etzel1, Lawrence L Wald2,3, David A Feinberg4,5, and Kawin Setsompop2,3

1Institute of Medical Physics and Radiation Protection, Department of Life Science Engineering, Mittelhessen University of Applied Sciences (THM), Giessen, Germany, 2A.A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States, 3Harvard-MIT Division of Health Sciences and Technology, Cambridge, MA, United States, 4Helen Wills Neuroscience Institute, UC Berkeley, Berkeley, MA, United States, 5Advanced MRI Technologies, Sebastopol, CA, United States

A densely packed 32-channel motor cortex array coil was designed, constructed and compared to a 32-channel whole-head coil at 7T. The developed design allows coil adaptability to a wide range of head sizes, thereby minimizing the distance of the brain to the individual small loop elements. Using the high SNR and parallelism afforded by this array, a substantial gain in sensitivity and performance for imaging the human motor cortex was achieved, enabling 0.15x0.15x0.65 mm3 resolution SWI scans.

1225
17:06
31-Channel brain array for hyperpolarized  13C imaging at 3T
Azma Mareyam1, Lucas Carvajal2, Duan Xu2, Jeremy Gordon2, Ilwoo Park2, Daniel B Vigneron2, Sarah J Nelson2, Jason P Stockmann1,3, Boris Keil1,3, and Lawrence L Wald1,3

1Massachusetts General Hospital, A.A Martinos Center for Biomedical Imaging, Dept. of Radiology, Charlestown, MA, United States, 2Radiology and Biomedical Imaging, UCSF School of Medicine, San Francisco, CA, United States, 3Harvard Medical school, Boston, MA, United States

We describe the design and the performance of an integrated RF Tx and Rx coil to enable highly accelerated 13C imaging of the human brain at 3T. This system combines a 31-channel receive array with integrated preamps and a high-power transmit coil in an improved mechanical design, overcoming several longstanding design challenges that previously limited hyperpolarized 13C imaging. The shorter imaging times and more uniform spatial coverage attainable with our design will lead to a substantially increase in the range of hyperpolarized imaging applications, and enable the transition to clinical use.  

1226
17:18
Universal Size-Optimized 48-Channel Phased-Array Receive Head Coil for 3T Clinical fMRI/Silent Imaging Application
Yun-Jeong Stickle1, Victor Taracila1, Sarah Tenley1, Clyve Follante1, Balint Franko1, Nabeel Malik1, Patrick Quarterman2, Fotis Vlachos2, and Peter Roemer2

1Engineering, GE Healthcare Coils, Aurora, OH, United States, 2Engineering, GE Healthcare, Waukesha, WI, United States

Typical high density phased-array head coils are design to fit tightly around the head to achieve increasing SNR and improving acceleration limiting space and excluding its use for larger patients. This study shows the results for an optimized 48-Channel phased-array receive head coil design on a universally sized football helmet-shaped former (fitting to more than 99th - percentile US male) providing similar SNR and improved acceleration compared to a 32-Channel close-fitting design coil. The performance of this array is demonstrated in highly accelerated head images on variously sized human subjects. This coil is optimized for Hyperband, fMRI and Silent imaging.


Oral

Novel Abdominal Applications & Developments

Room 313A Thursday 15:30 - 17:30 Moderators: Houchun Hu & ChangHee Lee

1227
15:30
Probing bone marrow adipocyte cell size in vivo at a clinical 3 T scanner using high b-value DW-MRS at long diffusion times
Dominik J. Weidlich1, Andreas Hock2, Stefan Ruschke1, Daniela Franz1, Katja Steiger3, Thomas Skurk4, Hans Hauner4, Ernst J. Rummeny1, and Dimitrios C. Karampinos1

1Department of Diagnostic and Interventional Radiology, Technical University Munich, Munich, Germany, 2Philips Healthcare, Hamburg, Germany, 3Department of Pathology, Technical University Munich, Munich, Germany, 4Else Kröner Fresenius Center for Nutritional Medicine, Technical University Munich, Munich, Germany

Despite its strong relevance in metabolism, non-invasive measurement of adipocyte size remains an unmet need. High b-value DW-MRS has been previously applied to probe diffusion restriction effects of intramyocellular lipids or brown adipocytes using preclinical systems with strong gradient systems. The present work proposes a methodology to in vivo probe diffusion restriction effects in bone marrow adipocytes with high b-value long diffusion time DW MRS in a clinical system and examines the feasibility of bone marrow adipocyte size estimation in the tibia of healthy subjects.

1228
15:42
Quantifying Fat Mass and Energy Content in Brown Adipose Tissue
Jedrzej Burakiewicz1, Gustavo de Abreu Vieira2, Laura G.M. Janssen2, Kimberly J. Nahon2, Mariëtte R. Boon2, Andrew G. Webb1, Hermien E. Kan1, and Patrick C.N. Rensen2

1Gorter Center for High Field MRI, Radiology, Leiden University Medical Centre, Leiden, Netherlands, 2Endocrinology, Leiden University Medical Centre, Leiden, Netherlands

MRI of Brown Adipose Tissue (BAT) is gaining popularity as an alternative to PET-CT. Most commonly used marker in quantifying BAT is fat fraction, however there is no consensus to the range of fat fractions separating BAT and WAT. In this work we show how calculating energy content and total fat mass allows to avoid partial volume effect and provides more quantitative markers than fat fraction. We also argue that the fat fractions in the high end of the range (80% - 100%) contribute significantly to BAT activity. 

1229
15:54
Metabolic Imaging of Dynamic Fat Mobilization in Activated Brown Adipose Tissue
Jadegoud Yaligar1, Sanjay Kumar Verma 1, Venkatesh Gopalan 1, Tian Xianfeng1, Anantharaj Rengaraj1, and S. Sendhil Velan 1

1Laboratory of Metabolic Imaging, Singapore Bioimaging Consortium, A*STAR, Singapore

Brown adipose tissue (BAT) is a target fat compartment for  treatment of metabolic diseases due to its high metabolic capacity. BAT is major site for adaptive thermogenesis involving uncoupling protein-1. We have studied the dynamic oxidative fat metabolism in interscapular brown adipose tissue by activation of β3-adrenergic receptors. Progressive reduction of the lipids from iBAT region is indicative of oxidative metabolism by utilizing the lipids as fuel substrate. Evaluation of lipid mobilization in real time is important to assess the altered metabolic rate and mitochondrial biogenesis involving lipid oxidative metabolism.

1230
16:06
Measurement of Brown Adipose Tissue Activity in Response to Thermal Challenges Using Dixon MRI
Jie Deng1,2, Nicholas Rubert1, Lisa M Neff3, Richard Shore1,2, Christina Sammet1,2, and Jonathan Samet1,2

1Medical Imaging, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, United States, 2Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States, 3Division of Endocrinology, Metabolism and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States

Brown adipose tissue (BAT) is the primary site of adaptive thermogenesis, which may play a potential role in the pathogenesis and treatment of obesity, and related metabolic disorders. The purpose of this study is to use Dixon MRI to measure BAT tissue properties under pre-cold, post-cold individualized non-shivering thermogenesis, and re-warm-up conditions, in order to evaluate BAT activity among normal-weight, over-weight and obese subjects.

1231
16:18
Realistic 4D abdominal phantom for magnetic resonance imaging
Wei-Ching Lo1, Yong Chen2, Yun Jiang1, Vikas Gulani1,2, and Nicole Seiberlich1,2

1Dept. of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Dept. of Radiology, University Hospitals of Cleveland, Cleveland, OH, United States

Validation and evaluation of novel data acquisition and reconstruction strategies are major challenges in abdominal magnetic resonance imaging, and particularly in quantitative imaging. Here, a new 4D numerical abdominal phantom combining anatomical morphology, respiratory motion, tissue properties, and physiological function is introduced to enable comparison of different data collection and reconstruction schemes for abdominal MRI.

1232
16:30
Towards Addressing Unmet Needs in MR-only Radiotherapy Treatment Planning: The Feasibility of Estimating Electron Density from Quantitative Water/Fat Imaging
Abraam S Soliman1,2, Masoud Hashemi2, Alex Karotki2,3, and William Y Song1,2,3

1Physical Sciences, Sunnybrook Research Institute, Toronto, ON, Canada, 2Medical Physics, Sunnybrook Health Sciences Centre, Toronto, ON, Canada, 3Radiation Oncology, University of Toronto, ON, Canada

 MR-only treatment planning requires the knowledge of electron density to account for medium heterogeneities during dose calculation. This work introduces a novel perspective for electron density estimation by utilizing quantitative water/fat imaging. Water/fat phantoms with different percentages were scanned on MR and CT. Water/fat separation was performed while correcting (or minimizing) major sources of signal bias. A linear regression model between CT and corrected MR signals was calculated and used to derive MR-based electron density curve. This approach targets radiotherapy applications that require sensitive soft-tissue heterogeneity correction such as prostate and breast low-dose-rate (LDR) brachytherapy.


1233
16:42
A Hyperpolarized 13C MRI Approach for Calculating Glomerular Filtration Rate
Eugene Milshteyn1,2, Cornelius von Morze1, Jeremy W. Gordon1, Galen D. Reed3, Robert A. Bok1, and Daniel B. Vigneron1,2

1Radiology and Biomedical Imaging, UCSF, San Francisco, CA, United States, 2UC Berkeley-UCSF Graduate Program in Bioengineering, UCSF and University of California, Berkeley, San Francisco, CA, United States, 3HeartVista Inc., Los Altos, CA, United States

The feasibility of calculating glomerular filtration rate (GFR) using hyperpolarized 13C MRI is demonstrated in this project. HP001 is exhibited as a potential probe for GFR calculation due to its long T1, allowing for high spatiotemporal resolution, and favorable filtration properties. Multiple iterations of common clinical sequences, including EPI and bSSFP, were utilized, and each sequence yielded GFR values close to those found in literature. The results shown here indicate potential for a new noninvasive imaging measurement of GFR. 

1234
16:54
Measurement of placental oxygenation in a guinea pig model of intrauterine growth restriction
Kevin J Sinclair1, Lanette J Friesen-Waldner1, Trevor P Wade2, Cheryl Vander Tuin1, Barbra de Vrijer3,4, Timothy RH Regnault 3,4,5, and Charles A McKenzie1,2,4

1Medical Biophysics, University of Western Ontario, London, ON, Canada, 2Robarts Research Institute, London, ON, Canada, 3Obstetrics and Gynaecology, University of Western Ontario, London, ON, Canada, 4Division of Maternal, Fetal and Newborn Health, Children's Health Research Institute, London, ON, Canada, 5Physiology and Pharmacology, University of Western Ontario, London, ON, Canada

We sought to examine the placental oxygenation status in a guinea pig model of intrauterine growth restriction (IUGR). We measured T2* in placentae of IUGR and control fetuses during a maternal oxygen challenge, where imaging was performed at both 20% and 100% inhaled oxygen. IUGR was defined by an elevated brain to liver volume ratio, indicative of blood flow redistribution secondary to fetal hypoxia. No significant difference in ΔT2* was observed, indicating that the placentae of the IUGR fetuses were not hypoxic. Thus we concluded that placental hypoxia is not necessary to induce fetal hypoxia in the guinea pig.

1235
17:06
Two-dimensional susceptibility-weighted MRI at 1.5T: preliminary utility in the assessment of the fetal osseous spine
Xin Chen1, Guangbin Wang1, Tianyi Qian2, Wen Liu1, Xinhong Wei1, and Fei Gao1

1Shandong Medical Imaging Research Institute, Shandong University, Jinan, People's Republic of China, 2Siemens Healthcare, MR Collaborations NE Asia, Beijing, People's Republic of China

This study aimed to explore the utility of two-dimensional susceptibility-weighted imaging (2D-SWI) for assessing the fetal osseous spine. Whole-spine MRI was performed on fetuses, which included 2D-SWI and T2-weighted true fast imaging with steady-state precession (T2-TrueFISP) sequences. The image quality of the 2D-SWI was superior to the T2-TrueFISP, allowing for improved diagnostic accuracy in the diagnosis of spinal abnormities. 2D-SWI was valuable in elucidating the structures of the fetal osseous spine allowing for better assessment of spinal deformity, especially in the cervical segment of the spine.

1236
17:18
Mapping Abdominal Inflammatory Response Using Manganese-Enhanced MRI (MEMRI)
Kun-Han Lu1, Jiayue Cao2, Lauren Kelly Marussich2, Tom C.-C. Hu3, and Zhongming Liu1,2

1Electrical and Computer Engineering, Purdue University, West Lafayette, IN, United States, 2Biomedical Engineering, Purdue University, West Lafayette, IN, United States, 3Division of CBRN Countermeasures, Biomedical Advanced Research and Development Authority, DC, United States

We used in vivo Manganese-Enhanced MRI (MEMRI) to image and assess the increase in calcium influx into immune cells so as to report the cellular responses to systemically LPS-induced inflammation throughout the abdomen. We found that: (1) The contrast enhancement was dose- and time-dependent with variation across organs. (2) An increase in Mn2+ uptake was observed in the liver and the kidney, but not in the spleen or the muscle given inflammation. (3) The inflammation-induced enhancement was dependent on the time after the initial exposure to LPS.


Oral

fMRI Clinical & Neuroscience Applications

Room 313BC Thursday 15:30 - 17:30 Moderators: Victoria Morgan & Stefan Posse

1237
15:30
Time delay processing of BOLD cerebrovascular reactivity data in patients with moyamoya pre- and post-surgical revascularization reveals a potential new indicator of vascular compliance
Jennifer M Watchmaker1, Blaise deB Frederick2,3, Meher R Juttukonda1, Sarah K Lants1, Larry T Davis1, Matthew R Fusco4, and Manus J Donahue1,5,6

1Radiology & Radiological Sciences, Vanderbilt University, Nashville, TN, United States, 2Mclean Hospital, Brain Imaging Center, Belmont, MA, United States, 3Department of Psychiatry, Harvard Medical School, Boston, MA, United States, 4Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, United States, 5Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN, United States, 6Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, United States

Structural and BOLD-weighted hemodynamic imaging was performed in patients with intracranial steno-occlusion due to moyamoya disease before and after surgical revascularization. A novel data-driven time-delay analysis was performed using cross-correlation of functional imaging data to find the time at which maximum correlation occurs between the BOLD signal from each voxel and a reference regressor. This provides a novel metric of hemodynamic impairment (lagtime) that may be indicative of vascular smooth muscle dysfunction and therefore delayed reactivity. We found that in patients with successful revascularization on angiography, lagtimes decreased, and in patients with unsuccessful revascularization and progressive disease, lagtimes increased.  

1238
15:42
Top-down modulation in the visual cortex negatively correlates with duration of blindness and reaction time during sensory substitution
Kevin C. Chan1,2,3, Matthew C. Murphy1,2, Jasmine Kashkoush1, and Amy C. Nau2

1Neuroimaging Laboratory, University of Pittsburgh, Pittsburgh, PA, United States, 2Department of Ophthalmology, University of Pittsburgh, Pittsburgh, PA, United States, 3Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States

Visual cortex functionality in the blind has been shown to shift away from sensory networks toward task-positive networks that are involved in top-down modulation. However, how such modulation is shaped by experience and reflected behaviorally remains unclear. Using blood-oxygenation-level-dependent functional MRI with a sensory substitution task, we found that top-down visual cortex activity negatively correlates with duration of blindness and reaction time. Our results suggest that alterations in top-down brain activity due to visual deprivation progress as a function of time. Furthermore, the degree of top-down activity in the visual cortex may reflect the speed of performance during sensory substitution.

1239
15:54
Functional connectivity of DLPFC circuits predicts cocaine relapse
Tianye Zhai1, Hong Gu1, and Yihong Yang1

1Neuroimaging Research Branch, Intramural Research Program, National Institute on Drug Abuse, Baltimore, MD, United States

TMS targeting the DLPFC has been shown to effectively manipulate inter-temporal behaviors in healthy individuals and drug-using behaviors in cocaine users. However, the neural mechanism through which the DLPFC is involved in the alteration of these behaviors remains unclear. In the current study, we utilized resting-state fMRI to investigate the relationship between the DLPFC functional connectivity and relapse in cocaine addiction. Our voxel-wise Cox regression analyses revealed that two DLPFC circuits have protective effects against cocaine relapse.

1240
16:06
Thalamic functional connectivity in Multiple Sclerosis: the role of temporal thalamic sub-region in maladaptation
Paola Valsasina1, Alessandro D'Ambrosio1, Milagros Hidalgo1, Elisabetta Pagani1, Bruno Colombo2, Mariaemma Rodegher2, Andrea Falini3, Giancarlo Comi2, Massimo Filippi1, and Maria Assunta Rocca1

1Neuroimaging Research Unit, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy, 2Department of Neurology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy, 3Department of Neuroradiology, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy

We compared resting state (RS) functional connectivity (FC) of five thalamic sub-regions (frontal, motor, post-central, occipital and temporal) between patients with multiple sclerosis (MS) and healthy controls. There was an overall increase of intra- and inter-thalamic RS FC for almost all thalamic sub-regions, apart from the temporal thalamic sub-region, which showed reduced intra-thalamic RS FC and higher RS FC with the fronto-parietal somatomotor cortex. Compared to cognitively preserved, cognitively impaired MS patients had lower RS FC between thalamic sub-regions and caudate nucleus, anterior cingulate cortex, as well as higher RS FC between thalamic sub-regions and several temporal areas. 

1241
16:18
Acquisition of sensorimotor fMRI under general anaesthesia in neurosurgical patients: evaluation of the effect of anaesthesia on the BOLD response.
Adam Kenji Yamamoto1, Joerg Magerkurth2, Laura Mancini3, Mark J White4, Anna Miserocchi5, Andrew McEvoy5, Ian Appleby6, Martin Smith7, John Thornton3, Nikolaus Weiskopf8, and Tarek A Yousry1

1Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, United Kingdom, 2UCL Psychology and Language Sciences, Birkbeck-UCL Centre for Neuroimaging, London, United Kingdom, 3Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, London, United Kingdom, 4Medical Physics and Biomedical Engineering, University College London Hospital, London, United Kingdom, 5Department of Neurosurgery, National Hospital for Neurology and Neurosurgery, London, United Kingdom, 6Department of Neuroanaesthesia, National Hospital for Neurology and Neurosurgery, London, United Kingdom, 7Department of Neuroanaesthesia and Neurocritical Care, National Hospital for Neurology and Neurosurgery, London, United Kingdom, 8Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

fMRI performed intra-operatively has the potential to significantly improve the outcomes from neurosurgery. The question remains however as to whether the BOLD signal can be detected in anaesthetised patients and what effect anaesthesia has on the response. In 5 patients with brain tumours anaesthetised for surgery we performed a passive sensorimotor fMRI paradigm. Anaesthesia resulted in a reduction in the BOLD response relative to the awake state, but also reduced the variance in the statistical model resulting in significant, accurate activation in all patients.

We conclude that the fMRI BOLD signal can be accurately detected in anaesthetised neurosurgical patients.


1242
16:42
Olfactory suggestion capacity of colors: a functional MRI study
Céline Charroud1, Muriel Jacquot2,3, Romain Tonnelet4, Julie Boyer1, Léa Nehmé3, Faustine Noël2, Jacques Felblinger1,5, Marc Braun1,4, and Gabriela Hossu1,5

1IADI, INSERM U947, Université de Lorraine, CHRU Nancy, Nancy, France, 2Myrissi, Nancy, France, 3InnoCIM, ENSAIA, Université de Lorraine, Nancy, France, 4Department of Diagnostic and Interventional Neuroradiology, CHRU Nancy, Nancy, France, 5CIC 1433 Innovation Technologique, INSERM, Université de Lorraine, CHRU Nancy, Nancy, France

We know that colors modify odor’s perception. It demonstrates that colors arrangement (chromatic cards) could evoke the appropriate odor, but we have not neural evidence of these chromatic cards olfactory suggestion capacity. Our goal is to compare the olfactory suggestion capacity of picture with that of chromatic arrangements using functional MRI paradigm. We show that chromatic card visualization could suggest an odor more efficiently than picture visualization. Our results support the involvement of multiple cognitive processes (olfactory, emotional, visuospatial, language, memory, taste) which interact to produce olfactory suggestion from colors visualization. Therefore, chromatic card application could be varied (health, marketing…).

1243
16:54
Structured Brain “Chronnectome” Reveals New Brain Dynamic Patterns for Early Detection of Alzheimer’s Disease
Han Zhang1, Xiaobo Chen1, Lichi Zhang1, and Dinggang Shen1,2

1Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 2Department of Brain and Cognitive Engineering, Korea University, Seoul, Korea, Republic of

To understand dynamics of human brain connectome, we introduce a novel method named “structured brain chronnectome (SBC)”, which measures spatiotemporal architecture of dynamic functional connectivities, a pivotal mechanism for human to adapt to the outside world. From dynamic view angle, with graph theoretic analysis and blind-source separation, we detect meaningful SBCs with typical and atypical configurations compared with traditional networks. They reflect high-order brain functional organization. By applying SBC to an Alzheimer’s disease progression data, we revealed pre-symptomatic brain high-level function alterations from early mild cognitive impairment subjects which are difficult to detect using traditional methods. 

1244
17:06
Silent Sentence Completion Paradigm Shows Superiority in Localization of Wernicke’s Area and Changes in Functional Activation in the Distinct Language Paradigms Correlate with Key Genomic Markers: A Prospective Study
Kamel El Salek1, Islam Hassan1, Scott H Faro2, Srishti Abrol 1, Aikaterini Kotrotsou1, Feroze B Mohamed2, Pascal O Zinn3, Wei Wei4, Nan Li4, Ashok J Kumar1, Jeffrey S Weinberg5, Jeffrey S Wefel6, Shelli R Kesler6, Ho-Ling Anthony Liu7, Ping Hou7, Jason R Stafford7, Sujit Prabhu5, Raymond Sawaya5, and Rivka R Colen1,8

1Diagnostic Radiology, MD Anderson Cancer Center, Houston, TX, United States, 2Radiology, Temple University, Philadelphia, PA, United States, 3Neurosurgery, Baylor College of Medicine, Houston, TX, United States, 4Biostatistics, MD Anderson Cancer Center, Houston, TX, United States, 5Neurosurgery, MD Anderson Cancer Center, Houston, TX, United States, 6Neuro-Oncology, MD Anderson Cancer Center, Houston, TX, United States, 7Imaging Physics, MD Anderson Cancer Center, Houston, TX, United States, 8Cancer Systems Imaging, MD Anderson Cancer Center, Houston, TX, United States

The reliability of fMRI for preoperative mapping of language areas depends on the paradigms used, as different tasks harness distinct capabilities to activate areas of speech processing. By comparing 3 language tasks [Silent Sentence Completion (SSC), Category Naming (CAT) and Word Generation (FAS)], we seek to determine the most robust and consistent task in localizing Wernicke’s area. Further the association between genomic markers and functional activation was determined.  We included 15 healthy volunteers and 35 patients with gliomas. Results demonstrated that SSC is superior compared to other language paradigms and a correlation exists between tumor genomics and functional activation signals. 

1245
17:18
Altered BOLD fluctuations in gliomas and clinical possibilities
Lalit Gupta1, Rakesh K Gupta2, Prativa Sahoo2, Pradeep K Gupta2, Rana Patir2, Sunita Ahlawat2, Indrajit Saha3, and Walter H Backes1

1Departments of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands, 2Fortis Memorial Research Institute, Gurgaon, India, 3Philips India Ltd., Gurgaon, India

In this study, our primary objectives were to characterize the BOLD signal in gliomas using the temporal shift (TS), amplitude of low frequency fluctuations (ALFF) and regional homogeneity (ReHo) measures relative to the contralateral cortex, and to analyse the effectiveness of these measures in distinguishing high grade (HGG) from low grade glioma (LGG). Twenty-one patients with HGG and 13 patients with LGG were investigated. Abnormal hemodynamic fluctuations manifest in HGG, but not for LGG, and can be assessed using functional MRI. BOLD measures reflecting TS and ALFF show promise as an alternative to contrast-enhanced perfusion based techniques in future.

1246
17:30
Improved mapping of epileptic networks based on the correlation of BOLD-fMRI dynamic functional connectivity components with simultaneous EEG
Rodolfo Abreu1, Alberto Leal2, and Patrícia Figueiredo1

1ISR-Lisboa/LARSyS and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Lisbon, Portugal, 2Department of Neurophysiology, Centro Hospitalar Psiquiátrico de Lisboa, Lisboa, Portugal

We propose the use of BOLD dynamic functional connectivity (dFC) analyses to provide further insights into the dynamics of epileptic networks, in simultaneous EEG-fMRI studies. We performed brain parcellation using the AAL atlas and estimated dFC across brain regions using sliding-window correlation. We then tested different approaches for the extraction of functional networks related with the EEG epileptic activity. We found that PCA is a suitable tool to disentangle functional connectivity changes of different origins, and that epilepsy-related networks may be accurately identified based on the correlation of their weights time-courses with metrics of EEG epileptic activity in four patients.


Oral

MRSI Acquisition & Reconstruction

Room 316BC Thursday 15:30 - 17:30 Moderators: Wolfgang Bogner & Tom Scheenen

1247
15:30
Three-dimensional 31P Radial Echo-Planar Spectroscopic Imaging In Vivo at 7T
Dominik Ludwig1, Andreas Korzowski1, Loreen Ruhm1, Mark E. Ladd1, and Peter Bachert1

1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany

31P MR spectroscopic imaging (31P MRSI) in vivo suffers from low spatial resolution and long measurement times. The purpose of this study was to prove feasibility of a three-dimensional 31P radial Echo-Planar Spectroscopic Imaging sequence (3D radial EPSI) for 31P MRSI in vivo at 7T. The presented data with an isotropic spatial resolution of (10mm)3 in the human calf muscle and (18mm)3 in the human brain show well-resolved loaclized spectra proving feasibility of the 3D 31P radial EPSI sequence with measurement times of about 35min at 7T.

1248
15:42
Pushing the limits of ultra-high field MRSI: benefits and limitations of 9.4T for metabolite mapping of the human brain
Sahar Nassirpour1,2, Paul Chang1,2, and Anke Henning1,3

1MPI for Biological Cybernetics, Tuebingen, Germany, 2IMPRS for Cognitive and Systems Neuroscience, Eberhard Karls University of Tübingen, Tuebingen, Germany, 3Institute of Physics, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany

MRSI can benefit greatly from ultra-high field strengths. Given the higher SNR and higher chemical shift dispersion, metabolite mapping can be done with higher quantification precision and at higher spatial resolution. The aim of this work was to study the competing effects of spatial resolution, SNR, linewidth and higher field strengths by pushing the spatial resolution limits of 3T and 9.4T for metabolite mapping of the human brain.

1249
15:54
Simultaneous Mapping of Brain Metabolites, Macromolecules and Tissue Susceptibility Using SPICE
Fan Lam1, Yudu Li1,2, Bryan Clifford1,2, Xi Peng1, and Zhi-Pei Liang1,2

1Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States, 2Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, United States

In this work, we present a new imaging capability for simultaneous mapping of metabolites, macromolecules and tissue susceptibility in the brain, using a single scan for about 5 minutes. This new capability builds on the recently proposed subspace imaging framework SPICE (SPectroscopic Imaging by exploiting spatiospectral CorrElation) and uses a union-of-subspaces based approach to extract tissue susceptibility, metabolite and macromolecule spatiospectral distributions from an ultrashort-TE, short-TR, high-resolution MRSI scan without water suppression. In vivo results were used to demonstrate this exciting capability.

1250
16:06
Fast non-water suppressed metabolite cycled 1H FID MRSI at both 3T and 9.4T
Paul Chang1,2, Sahar Nassirpour1,2, and Anke Henning1,3

1MPI for Biological Cybernetics, Tuebingen, Germany, 2IMPRS for Cognitive and Systems Neuroscience, Eberhard University of Tuebingen, Tuebingen, Germany, 3Institute of Physics, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany

The purpose of this study is to use a metabolite cycling scheme combined with FID MRSI, acquire and compare spectra and metabolite maps from both water suppressed and non-water suppressed FID MRSI at 9.4T and 3T.

1251
16:18
Comparison of Acceleration Methods for Brain MRSI at 7T
Bernhard Strasser1, Lukas Hingerl1, Borjan A Gagoski2, Philipp Moser1, Gilbert Hangel1, Siegfried Trattning1,3, and Wolfgang Bogner1

1Department of Biomedical Imaging and Image-guided Therapy, High Field MR Centre, Medical University of Vienna, Vienna, Austria, 2Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, United States, 3Christian Doppler Laboratory for Clinical Molecular MR Imaging, Medical University of Vienna, Vienna, Austria

In this work three different acceleration methods, 2D-CAIPIRINHA with phase-encoding, spiral encoding and concentric circles (CONCEPT) for brain MRSI at 7T were compared. The metabolic maps were compared qualitatively, and the CRLB and SNR values were compared quantitatively. The metabolic maps of 2D-CAIPIRINHA with phase-encoding provided the best data with respect to metabolic maps, CRLB and SNR values.  Improving the PSF by increasing the matrix size from 48x48 to 64x64 enhanced the data quality again for CONCEPT. Spiral and CONCEPT encoding are prone to spectral baseline distortions. Nevertheless, CONCEPT has a high potential for high resolution brain MRSI at 7T.

1252
16:30
Accelerated Magnetic Resonance Spectroscopic Imaging Using Readout Segmentation (ASPIRES)
Marco Vicari1 and David Andrew Porter1

1Fraunhofer MEVIS, Bremen, Germany

ASPIRES is a novel method for accelerated, high-resolution, large-bandwidth echo-planar spectroscopic imaging. It uses readout segmentation to decouple the echo spacing from the spatial resolution and gradient-system performance. Readout segmentation is combined with blipped phase encoding to accelerate scans by random undersampling along the readout-segment, phase-encoding and time directions. An elliptical acquisition window in the readout-phase encoding plane reduces scan time further. Distributed-multisensory compressed sensing reconstruction efficiently restores signal properties in both spatial and frequency domains. ASPIRES promises to enhance the diagnostic performance of MR spectroscopic imaging in clinical routine and improve the study of metabolites at high field strengths.

1253
16:42
Spiral-accelerated short-TE MRSI with B1-insensitive 1D-semiLASER localization and real-time motion correction at 7T
Philipp Moser1, Bernhard Strasser1, Lukas Hingerl1, Michal Povazan1,2, Gilbert Hangel1, Ovidiu C. Andronesi3, Borjan Gagoski4, Aaron T. Hess5, Dylan M. Tisdall6, Andre van der Kouwe3, Siegfried Trattnig1,2, and Wolfgang Bogner1

1High Field MR Centre, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria, 2Christian Doppler Laboratory for Clinical Molecular MR Imaging, Medical University of Vienna, Vienna, Austria, 3Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA, United States, 4Fetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States, 5Centre for Clinical Magnetic Resonance Research, Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom, 6Perelman School of Medicine, Department of Radiology, University of Pennsylvania, Pennsylvania, PA, United States

In vivo MRSI at 7T offers advantages compared to lower field strengths, in particular higher SNR and improved spectral resolution. However, spectral quality is often limited by strong B1+ inhomogeneities, motion-related artifacts and scanner instability related B0 field drifts. To overcome these limitations, we have developed a 1D-semiLASER 2D-spiral-encoded MRSI sequence with real-time motion monitoring/correction using 3D EPI-based navigators (vNavs). Besides sequence stability we show that accurate B1-insensitive excitation can be achieved throughout the slice until the border of the brain. Using 7T-optimized motion correction, high spectral and metabolic map qualities are feasible even in the presence of motion.

1254
16:54
Brain-Structure-Specific Metabolite Quantification of MEGA-LASER 3D MRSI data
Ruoyun Ma1,2, Wolfgang Bogner3, Ovidiu C. Andronesi4, and Ulrike Dydak1,2

1School of Health Sciences, Purdue University, West Lafayette, IN, United States, 2Department of Radiology and Imaging Sciences, Indidana University School of Medicine, Indianapolis, IN, United States, 3Department of Biomedical Imaging and Image-guided Therapy, High Field MR Center, Medical University of Vienna, Vienna, Austria, 4Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States

To overcome box-shaped ROIs and enable brain-structure-specific comparison of metabolite levels across patient groups, a fully-automated brain-structure-specific metabolite quantification approach was developed and applied to the analysis of MEGA-LASER 3D MRSI data. Structure-specific GABA, Glx, NAA and tCho levels and their hemispheric variation in healthy volunteers was studied. The four metabolite levels varied significantly across different brain regions, but did not differ between left and right hemispheres. Correlations between the left and right hemisphere metabolite levels were observed only for some structures. 

1255
17:06
GABA-edited echo-planar spectroscopic imaging (EPSI) with MEGA-sLASER at 7T
Peter O Magnusson1, Vincent O Boer1, Anouk Marsman1, Henrik Lundell1, Lars G Hanson1,2, and Esben T Petersen1,2

1Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital, Hvidovre, Denmark, 2Center for Magnetic Resonance, DTU Elektro, Technical University of Denmark, Lyngby, Denmark

Magnetic resonance spectroscopy (MRS) benefits from increased magnetic field-strength in terms of increased sensitivity and spectral separation and human cerebral concentrations of neurotransmitters have been measured with improved precision at 7T. We utilize the high sensitivity at 7T for accelerated magnetic resonance spectroscopic imaging (MRSI) of the gamma-aminobutyric acid (GABA) inhibitory neurotransmitter in the human brain at 7T using spectral editing (MEGA) and a semi-localized by adiabatic selective refocusing (sLASER) with echo-planar readout (EPSI). The proposed method is shown to allow for localized GABA detection and demonstrate potential for efficient imaging of GABA.

1256
17:18
High-Resolution Phase Correction in Overdiscrete Spectroscopic Imaging Reconstruction using Piecewise Polynomial Interpolation
Eduardo Coello1,2, Fatih Sueleyman Hafalir1,2, Bjoern Menze1, Axel Haase1, and Rolf Schulte2

1Technische Universität München, Munich, Germany, 2GE Global Research, Munich, Germany

A full phase correction at high resolution is incorporated into the overdiscrete reconstruction for 1H MR Spectroscopic Imaging (MRSI). This allows to correct spectral artifacts generated by phase disturbances and increase SNR in one step, hence improving metabolite detection for fast MRSI acquisitions at short echo times. The phase correction term is approximated as a piecewise polynomial, fitted from a water reference scan that is acquired simultaneously with the metabolite signal. The method was applied to standard phase encoded MRSI and Echo-Planar Spectroscopic Imaging (EPSI) brain scans showing comparable improvements. 


Oral

Velocity & Flow Imaging: Novelty & Speed

Room 320 Thursday 15:30 - 17:30 Moderators: Alex Frydrychowicz & Susanne Schnell

1257
15:30
Simultaneous MultiSlab 4D Flow MRI for Quantification of Hemodynamics in the Carotid Bifurcation at 7 Tesla
Sebastian Schmitter1,2, Gregor Adriany1, Steen Moeller1, Edward Auerbach1, Pierre-Francois Van de Moortele1, Michael Markl3,4, Kamil Ugurbil1, and Susanne Schnell3

1University of Minnesota Medical School, Center for Magnetic Resonance Research, Minneapolis, MN, United States, 2Physikalisch-Technische Bundesanstalt (PTB), Braunschweig and Berlin, Germany, 3Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, IL, United States, 4Biomedical Engineering, Northwestern University, McCormick School of Engineering, Chicago, IL, United States

Simultaneous Multislice (SMS) imaging, also termed "Multiband" (MB), was integrated into slab-selective 4D flow MRI to quantify blood hemodynamics simultaneously in both carotid bifurcations at 7T. Therefore, sagittal oriented MB 4D flow acquisitions with 0.8mm isotropic resolution were performed in 4 volunteers using a dedicated carotid coil. The same protocol was then repeated twice, but only a single slab ("SingleBand" - SB) targeting the left or right carotid bifurcation was excited. Peak velocity and net flow quantification was performed for reconstructed MB and SB data on 3 planes each, one before and two after the bifurcation.

1258
15:42
4D Flow MRI in the Post-Myocardial Infarction Left Ventricle
Jacob Macdonald1, Jonathan Weinsaft2, Christopher J Francois3, and Oliver Wieben1,3

1Medical Physics, University of Wisconsin - Madison, Madison, WI, United States, 2Medicine, Cornell University, New York, NY, United States, 3Radiology, University of Wisconsin - Madison, Madison, WI, United States

Left ventricular thrombus (LVT) formation is a serious complication of anterior ST segment elevation myocardial infarction (MI) that impacts prognosis. LVT has been linked to blood stasis in the LV apex, but conventional predictors of LVT formation are limited. This study employed 4D-flow MRI as a new means of quantifying MI induced alterations in LV flow physiology. Among a mixed cohort of post-MI subjects and controls, 4D-flow MRI demonstrated MI to be associated with increased flow stagnance in the LV apex. These findings will inform use of 4D-flow MRI in future studies to predict longitudinal risk for post-MI LVT.

1259
15:54
Pushing the Boundaries of Low-Venc PC-MRI Acquisition Strategies with a Weighted, Regularized Optimization Reconstruction
Michael Loecher1 and Daniel B. Ennis1

1Department of Radiological Sciences, University of California, Los Angeles, CA, United States

We propose a novel reconstruction method for low-Venc (high-moment) PC-MRI reconstructions to allow for significant VNR gains while being more robust to the errors associated with these methods.  The reconstruction accounts for unequal signal variances due to intravoxel dephasing, and includes constraints to account for residual phase wrapping errors.  The method is tested in simulations, phantoms, and volunteers.

1260
16:06
Improving left ventricular 4D Flow MRI analysis using intensity based image registration with cine-bSSFP images
Vikas Gupta1,2, Mariana Bustamante1,2, Alexandru Fredriksson1, Carl-Johan Carlhäll1,2,3, and Tino Ebbers1,2

1Department of Medical and Health Sciences, Linköping University, Linköping, Sweden, 2Center for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden, 3Department of Physiology, Linköping University, Linköping, Sweden

Characterization of blood flow through the left ventricle (LV) using 4D Flow MRI requires accurate segmentation of the underlying anatomy. The combination of poor resolution and low contrast in 4D flow MR images, however, makes the LV segmentation challenging and prone to observer bias. We propose an image registration based approach that allows reliable and automatic correction of LV segmentations in 4D Flow images using the high contrast in routinely acquired 2D cine-MR images. The proposed approach is shown to achieve high in plane spatial accuracy and comparable values of blood flow parameters when evaluated against manually obtained expert segmentations of 4D flow MR images.

1261
16:18
High-Resolution 4D Real-Time Phase-Contrast Flow MRI with Sparse Sampling
Aiqi Sun1, Bo Zhao2, Rui Li1, and Chun Yuan1,3

1Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, People's Republic of China, 2Martinos Center for Biomedical Imaging, Harvard Medical School, Chalestown, MA, United States, 3Vascular Imaging Laboratory, Department of Radiology, University of Washington, Seattle, WA, United States

This work presents a model-based imaging method, which integrates low-rank modeling, sparse modeling with parallel imaging, to enable 4D real-time phase-contrast flow MRI without ECG gating and respiration control. The proposed method achieves real-time imaging at a spatial resolution of 2.4 mm, temporal resolution of 35 ms, with three directional flow encodings, and well resolves beat-by-beat flow variations, which cannot be achieved by the conventional cine-based method. The proposed has been evaluated by in vivo data with multiple healthy subjects and one arrhythmic patient. For the first time, we demonstrate the feasibility of real-time 4D PC flow MRI.

1262
16:30
Golden-Angle Spiral Sparse Parallel Phase-Ccontrast MR acquisition with an on-line fast GPU based reconstruction for high resolution real-time cardiovascular assessments
Grzegorz Tomasz Kowalik1, Adèle Courot1, Jennifer Anne Steeden1, and Vivek Muthurangu1,2

1Institute of Cardiovascular Science, University College London, London, United Kingdom, 2Great Ormond Street Hospital for Children, London, United Kingdom

Compressed Sensing for 2D spiral PCMR with golden angle acquisition schema.

The work presents a significant improvement in spatial-temporal resolution of the real-time spiral PCMR data, which are comparable with the standard high resolution cardiac gated sequences. The technique proved to be suitable for clinical use with the benefits of short acquisition times and no breathing artefacts.


1263
16:42
Compressed Sensing accelerated 4D flow MRI using a pseudo spiral Cartesian sampling technique with random undersampling in time
Lukas M. Gottwald1, Eva S. Peper1, Qinwei Zhang1, Valentijn Q. Pronk1, Bram F. Coolen2, Pim van Ooij1, Gustav J. Strijkers2, and Aart J. Nederveen1

1Department of Radiology, Academic Medical Center, Amsterdam, Netherlands, 2Department of Biomedical Engineering & Physics, Academic Medical Center, Amsterdam, Netherlands

Clinical applications of three-dimensional time-resolved (4D) flow MRI are still hindered by long acquisition times. Using compressed sensing image reconstruction, undersampled 4D flow data may be recovered without a notable loss of image quality. In this study pseudo-spiral sampling on a Cartesian grid was implemented on a Philips 3T Ingenia system to facilitate random undersampling in time. The technique was tested under controlled conditions in a pulsatile phantom for different acceleration factors. An additional in vivo volunteer data set confirmed the stability of this technique.

1264
16:54
Highly accelerated Multi-Directional Velocity Encoding 4D Flow MRI: feasibility and preliminary results
Henrik Haraldsson1, Evan Kao1, Yan Wang1, David Saloner1,2, and Jing Liu1

1Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States, 2Veteran Affairs Medical Center, San Francisco, CA, United States

Velocity-to-noise ratio in 4D flow improves with low velocity encoding (VENC), but is usually compromised to prevent velocity aliasing.  Dual-VENC and multi-directional velocity encoding schemes have been proposed to circumvent these issues, but result in an increased acquisition time.  In this study, we developed a motion-robust highly accelerated 4D flow acquisition with multi-directional velocity encodings to target applications with a wide range of velocities in clinically acceptable acquisition times, for applications such as imaging of abdominal aneurysms, and simultaneous assessment of cardiac tissue phase mapping and intracardiac blood flow.

1265
17:06
Simultaneous Multi-Slice Phase Contrast Imaging for Pulse Wave Velocity Measurement in the Vessel
Ning Jin1, Jianing Pang2, Shivraman Giri2, Peter Speier3, and Dingxin Wang4,5

1Siemens Healthcare, Columbus, OH, United States, 2Siemens Healthcare, Chicago, IL, United States, 3Application Development, Siemens Healthcare, Erlangen, Germany, 4Siemens Healthcare, Minneapolis, MN, United States, 5Center for Magnetic Resonance Research-Radiology, University of Minnesota, Minneapolis, MN, United States

Pulse wave velocity can be derived from sequential 2D phase contrast measurements in multiple breath-holds, resulting in a long scan time and patient discomfort. Physiological conditions, may change during the measurement series, leading to flow waveform shifts and hence errors in PWV estimation. We developed a prototype SMS cine-PC sequence to measure blood flow in multiple slices simultaneously and applied it to measure PWV in the aorta.

1266
17:18
Tridimensional Axial and Circumferential WSS from 4D flow data using a finite element method and a Laplacian approach
Julio Sotelo1,2, Jesús Urbina3, Bram Ruijsink4, David Nordsletten4, Joaquín Mura1, Reza Razavi4, Daniel Hurtado5, and Sergio Uribe1,3

1Biomedical Imaging Center, Pontificia Universidad Católica de Chile, Santiago, Chile, 2Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile, 3Department of Radiology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile, 4Department of Biomedical Engineering, King's College London, London, United Kingdom, 5Department of Structural and Geotechnical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile

The WSS and OSI play a critical role in the progression of different vascular diseases, the multidirectional nature of WSS, can alter the balance of the endothelial cells. But the multidirectional nature of WSS only has been analyzed in 2D section. In this work, we propose a new method based on 3D finite-element and a Laplacian approach to decompose the WSS vector in an axial (WSSA) and circumferential (WSSC) component in a 3D domain. The 3D method provides an excellent agreement of the quantification of WSSA and WSSC in comparison with the actual 2D method. 


Combined Educational & Scientific Session

Diffusion of the Changing Brain

Organizers: Stephan E. Maier, M.D., Ph.D & Jennifer A. McNab, Ph.D.

Room 315 Thursday 15:30 - 17:30 Moderators: Petra Huppi & Christopher Kroenke

15:30
Diffusion Imaging in Neurodevelopment
C. Lebel1

1University of Calgary

Diffusion imaging has been used extensively over the last decade or so to study healthy brain maturation during childhood and adolescence. Methods vary greatly across studies, but studies consistently report nonlinear maturation that continues into young adulthood, with the most protracted development occurring in frontal-temporal connections. These diffusion changes suggest increasing myelination, axonal packing, and/or coherence with age. Less consistent findings have been reported for specific timing of development (e.g., age at peak), and sex differences. Emerging new methods and large longitudinal or multi-site studies will greatly add to our understanding of brain development over the next few years. 

16:00
Diffusion Imaging in Aging
Konstantinos Arfanakis1

1Illinois Institute of Technology, United States

Diffusion MRI has an important role in research of the aging brain. Diffusion MRI can help elucidate the role of brain characteristics in the mechanisms supporting cognitive and motor health or leading to cognitive and motor decline in old age. Combining diffusion MRI with other imaging, clinical, neuropsychological, and most importantly neuropathologic information may provide invaluable insights towards the development of useful biomarkers of age-related diseases. To successfully accomplish the above, however, it is important to first realize the intricacies of conducting meaningful diffusion imaging investigations of the older adult brain.

1267
16:30
Differentiated maturation of white matter tracts in early developing brain aged 0-3 years
Qinlin Yu1,2,3,4, Huiying Kang1,5, Qinmu Peng1,2, Minhui Ouyang1,2, Michelle Slinger1,2, Yun Peng5, Fang Fang3,4, and Hao Huang1,2

1Department of Radiology, Children’s Hospital of Philadelphia, Philadelphia, PA, United States, 2Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States, 3School of Psychological and Cognitive Sciences, Peking University, Beijing, People's Republic of China, 4Peking-Tsinghua Center for Life Science, Peking University, Beijing, People's Republic of China, 5Department of Radiology, Beijing Children’s Hospital, Capital Medical University, Beijing, People's Republic of China

The brain development in the first several years after birth is perhaps most dynamic. However, the studies on white matter maturation of infants and toddlers with relatively evenly distributed ages in 0-3 years are rare. Here, we charted white matter development in subjects 0-3 years-of-age through measurements of DTI-derived metrics at the tract level and tract-group level. A 3-stage maturational pattern was revealed for all white matter tracts. The differentiated maturation among the white matter tracts and tract groups was found using DTI measurements.

1268
16:42
Multi-shell neonatal brain HARDI template
Maximilian Pietsch1, Jana Hutter1, Anthony Price1, Maria Kuklisova Murgasova1, Emer Hughes1, Johannes Steinweg2, Nora Tusor2, Jesper Andersson3, Matteo Bastiani4, Stamatios Sotiropoulos3, Joseph V Hajnal1, and J-Donald Tournier1

1Division of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom, 2Department of Perinatal Imaging & Health, King's College London, London, United Kingdom, 3FMRIB Centre, University of Oxford, Oxford, United Kingdom, 4Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom

We describe a method for creating a group template of the developing brain using advanced multi-shell high angular resolution diffusion (HARDI) data. We decompose the signal into an anisotropic CSF-like and a white matter-like directional component and build an unbiased template of those tissue types from 27 healthy term control babies acquired as part of the Developing Human Connectome Project (gestational age: 40.2+-1.4 weeks). This template will facilitate the analysis of microstructural features at a group level and allow longitudinal investigations into healthy and pathological brain maturation.

1269
16:54
Automated pre-processing pipeline and quality control for neonatal diffusion MRI in the developing Human Connectome Project (dHCP)
Matteo Bastiani1, Jesper Andersson1, Lucilio Cordero-Grande2, Maria Murgasova2, Jana Hutter2, Anthony N. Price2, Antonios Makropoulos3, Emer Hughes2, Johannes Steinweg2, Nora Tusor2, Daniel Rueckert3, A. David Edwards2, Stephen Smith1, Jacques-Donald Tournier2, Joseph V. Hajnal2, Saad Jbabdi1, and Stamatios Sotiropoulos1

1Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Oxford University, Oxford, United Kingdom, 2Centre for the Developing Brain, King’s College London, London, United Kingdom, 3Department of Computing, Imperial College London, London, United Kingdom

The developing Human Connectome Project (dHCP) is a collaborative 6-year project set to create a 4-dimensional map of structural and functional changes occurring throughout early development. Up to 1300 multi-modal MRI scans of foetuses and neonates (20 to 44 weeks gestational age) are currently being acquired. We present a fully automated pre-processing pipeline that allows us to efficiently analyse in-vivo diffusion MRI (dMRI) data despite the considerable technical challenges specific to neonatal imaging. We developed a quality control (QC) framework that allows us to identify issues or inconsistencies. This is especially useful when processing a very large number of subjects.

1270
17:06
Interpreting age-related changes based on the mean signal diffusion kurtosis
Rafael Neto Henriques1 and Marta Morgado Correia1

1Cognition and Brain Sciences Unit, MRC, Cambridge, United Kingdom

Previous studies have shown that measures of non-Gaussian diffusion from diffusion kurtosis images (DKI) provide unique information on age-related tissue changes. In this study, a novel non-Gaussian diffusion index invariant to the distribution of fibres is proposed and applied to 650 datasets from the Cam-CAN ageing project. The results show that the proposed biomarker is not only applicable to any tissue configuration but also less sensitive to noise and artefacts when compared to traditional DKI measures. Moreover, for white matter regions, age-related changes measured by this index seem to reflect axonal alterations likely related to axonal loss mechanisms. 

1271
17:18
Registration-free analysis of diffusion MRI tractography data across subjects through the human lifespan
Viviana Siless1, Juliet Y Davidow2, Jared Nielsen2, Qiuyun Fan1, Trey Hedden1, Marisa Hollinshead1, Constanza Vidal Bustamante2, Michelle K Drews1,2, Koene R.A. Van Dijk1, Margaret A Sheridan3, Randy L Buckner1,2, Bruce Fischl1,4, Leah Somerville2, and Anastasia Yendiki1

1Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 2Department of Psychology and Center for Brain Science, Harvard University, MA, United States, 3Department of Psychology, University of North Carolina at Chapel Hill, NC, United States, 4MIT Artificial Intelligence Laboratory, MIT, MA, United States

Diffusion MRI tractography produces massive sets of streamlines that need to be clustered into anatomically meaningful bundles. Conventional clustering techniques group streamlines based on their proximity in Euclidean space. We have developed an unsupervised method for clustering tractography streamlines based on their neighboring anatomical structures, rather than their coordinates in Euclidean space. In this work, we show how this approach can be extended to find corresponding clusters across subjects without inter-subject registration. We evaluate the approach on data from the MGH-Harvard-USC Lifespan Human Connectome Project, showing improved correspondence in tract clusters across subjects aged 8-90, without the need for registration.


Other

Hands-On Workshop: GE Healthcare 2 (repeat)

Room 322AB Thursday 15:30 - 17:30 (no CME credit)


Other

Hands-On Workshop: Philips Healthcare 1 (repeat)

Room 324 Thursday 15:30 - 17:30 (no CME credit)


Plenary Session

Mansfield Lecture

Plenary Hall Thursday 17:45 - 18:45

17:45
Young Investigator Awards Presentation

18:00
Mansfield Lecture
Penny Anne Gowland1

1University of Nottingham, SPMIC, Nottingham, United Kingdom


Other

Closing Party

Convention Center Rooftop Thursday 19:00 - 21:00 (no CME credit)