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Noninvasive in vivo assessment of liver fat on a mouse model of diet-induced fatty liver disease using 3-Tesla MRI.

Non-Invasive Prostate Metabolic and Cytometric Imaging: Insights from Activity MRI [aMRI]

Author:Xin Li  Eric Baker  Brendan Moloney  Ryan Kopp  Fergus Coakley  Mark Garzotto  Charles Springer  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Methods  

Program Number:4097  

Room Session:Concurrent 5  

Institution:Oregon Health & Science University  Portland VA Center  

Nonlinear projection imaging with the Bloch-Siegert shift in an inhomogeneous B0 at low-field

Author:Kartiga Selvaganesan  Yonghyun Ha  Basong Wu  Kasey Hancock  Charles Rogers III  Sajad Hosseinnezhadian  Gigi Galiana  Todd Constable  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Novel Acquisitions  

Session Name:Novel Encoding Strategies  

Program Number:0899  

Room Session:Concurrent 1  

Institution:Yale University  

Nonparametric 5D D-R2 distribution imaging with single-shot EPI at 21.1 T: Initial results for in vivo rat brain

Nonparametric D(O)-distributions for model-free analysis of b(O)-encoded multidimensional diffusion MRI on ex vivo rat brain

Non-regularized Dipole Inversion with streaking suppression via L1-norm optimization

Non-Uniform Dielectric Substrate (NODES) Antenna Design for Cardiac Imaging at 7T

Author:Alireza Sadeghi-Tarakameh  Bahram Khalichi  Xiaoping Wu  Gregory Metzger  Yigitcan Eryaman  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:RF Design I  

Session Name:Developments in RF Components  

Program Number:1398  

Room Session:Concurrent 2  

Institution:Bilkent University  University of Minnesota  

Non-uniform Fast Fourier Transform via Deep Learning

NORDIC denoising before image reconstruction.

No-Reference Quality Assessment of MRIs for Clinical Application

Normal fetal development of the cervical, thoracic and lumbar spine: a post-mortem study based on magnetic resonance imaging

Normalization of Temperature Effects for Improved Quantitative Prostate Apparent Diffusion Coefficient (ADC) Imaging Across Multiple Sites

A novel characterization method of HTS non-linear electrical properties using MRI

A novel clinically viable method to quantify T2 of intra and extra axonal compartmental tissue properties

A Novel Fast Quantitative Parameter Distribution Estimator Applied to Diffusion Tensor Distribution Imaging

Author:Anders Garpebring  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Diffusion: Encoding & Estimation  

Session Name:Diffusion: Encoding & Estimation  

Program Number:2460  

Room Session:Concurrent 3  

Institution:Umeå University  

A Novel High Density 32-channel Sleeve Antenna Receiver Array for the Human Head Imaging at 10.5 T

A Novel Hybrid Score Integrating Clinical and MR Features to Predict Lumbar Vertebral Osteoporosis in Female

Novel insights on SSA-FARY: Amplitude-based respiratory binning in self-gated cardiac MRI

Novel machine learning method for clinically significant cortical lesion detection in multiple sclerosis

A novel method for temperature mapping in fatty tissues based on Z-Spectrum MRI with binomial pulse

Author:Alessandro Scotti  Jin Gao  Weiguo Li  Mehran Shaghaghi  Fred Damen  Kejia Cai  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Fat & Metabolism  

Session Name:Fat & Metabolism II  

Program Number:3870  

Room Session:Concurrent 4  

Institution:University of Illinois at Chicago  

A novel MOLLI T1 analysis method with data matching for reduced T1 underestimation

A novel MRI phantom to study the fluid dynamics of the glymphatic system: a proof-of-concept study

A novel multi-filter convolutional neural network for prediction of cognitive deficits using structural connectome in very preterm infants

A Novel Specific Absorption Rate Prediction Framework Using Multi-Task Feedback Generative Adversarial Learning: Application to 10.5 T Head MRI

Novel Technique for Assessment of Patellar Tracking During Weight-Bearing Knee Flexion Using Dynamic Upright MRI

A novel unsupervised domain adaptation method for deep learning-based prostate MR image segmentation

Author:Cheng Li  Hui Sun  Taohui Xiao  Xin Liu  Hairong Zheng  Shanshan Wang  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Prostate  

Session Name:Prostate: Deep Learning  

Program Number:4109  

Room Session:Concurrent 5  

Institution:Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences  

Numerical Fit of Extrapolated Semisolid Magnetization Transfer Reference Signal (NEMR) for Improved pH-Weighted Imaging of Ischemic Stroke

Numerical Modelling of a Close-fitting 8-channel Transceiver Head Coil and EEG Electrodes for Safety Validation at 7T

Numerical Simulation study on the effects of intentionally inhomogeneous E-field distributions on RF-induced heating of implants

Numerical simulations to investigate the contribution of arteries and veins to the relative BOLD-fMRI signal change by means of SO2 and CBV changes

ODF-Fingerprinting Improves Reconstruction of Fibers Crossing at Shallow Angles: A Study on Diffusion Phantom

Off-resonance correction of non-cartesian SWI using internal field map estimation

Off-Resonance Correction with Self-Estimated Field Map for Hyperpolarized 13C Metabolic Imaging

Oil-in-water emulsions for tissue simulation in magnetic resonance imaging: Determination of MR-properties of emulsifiers

On the effect of fat spectrum complexity in Dixon MR Fingerprinting

On the generalizability of diffusion MRI signal representations across acquisition parameters: chronicles of the MEMENTO challenge.

Author:Alberto de Luca  Andrada Ianus  Alexander Leemans  Marco Palombo  Hui Zhang  Daniel Alexander  Markus Nilsson  Geert-Jan Biessels  Mauro Zucchelli  Matteo Frigo  Enes Albay  Sara Sedlar  Abib Alimi  Samuel Deslauriers-Gauthier  Rachid Deriche  Rutger Fick  Maryam Afzali  Tomasz Pieciak  Fabian Bogusz  Santiago Aja-Fernandez  Evren Özarslan  Derek Jones  Haoze Chen  Mingwu Jin  Zhijie Zhang  Fengxiang Wang  Vishwesh Nath  Prasanna Parvathaneni  Jan Morez  Jan Sijbers  Ben Jeurissen  Shreyas Fadnavis  Stefan Endres  Ariel Rokem  Eleftherios Garyfallidis  Irina Sanchez  Vesna Prchkovska  Paulo Rodrigues  Bennett Landman  Kurt Schilling  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Diffusion in the Brain  

Session Name:New Advances in Diffusion for the Brain  

Program Number:1728  

Room Session:Concurrent 5  

Institution:AGH University of Science and Technology  Cardiff University  Champalimaud Centre for the Unknown  Indiana University Bloomington  Linköping University  Lund University  National Institute of Health  North University of China  NVIDIA Corporation  QMENTA Inc  Therapanacea  Universidad de Valladolid  Université Côte d'Azur  University College London  University Medical Center Utrecht  University of Antwerp  University of Bremen  University of Texas at Arlington  University of Washington  Vanderbilt University  Istanbul Technical University  

On the impact of B0 map resolution and undersampling on reconstructions using expanded encoding models

On the possibility of reconstructing arbitrary FOVs using gradient waveforms with low-coherent aliasing properties

Author:Tobias Speidel  Patrick Metze  Kilian Stumpf  Thomas Hüfken  Volker Rasche  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Constrained & Model-Based Reconstructions  

Session Name:Model-Based Reconstruction  

Program Number:1182  

Room Session:Concurrent 1  

Institution:Ulm University Hospital  

On the predictability of B0 maps at ultra-high fields using deep learning

On the repeatability and reproducibility of SPECIAL-based in-vivo spectroscopy with different adiabatic inversion pulses