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Creating a robust BOLD fMRI phantom using microspheres: How well do microspheres approximate microvasculature?

Creating parallel-transmission-style MRI with deep learning (deepPTx): a feasibility study using high-resolution whole-brain diffusion at 7T

Author:Xiaodong Ma  Kamil Ugurbil  Xiaoping Wu  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Diffusion Acquisition & Post-Processing  

Session Name:Diffusion Acquisition  

Program Number:1317  

Room Session:Concurrent 6  

Institution:University of Minnesota  

Creation of a four-dimensional numerical phantom for Bloch simulations of water-fat systems

Cross Validation of a Deep Learning-Based ESPIRiT Reconstruction for Accelerated 2D Phase Contrast MRI

Cross-species homogeneity of brain structural covariance between humans and non-human primates based on a primate brain parcellation

Cube set for the quantification of 3-dimensional spatial resolution in MR- micro imaging and microscopy (a = 128 - 4 µm) using 2-photon lithography

The Current Status of Black-Blood Thrombus Imaging in Assessment of Cerebral Venous Thrombosis in a Real-word Clinical Practice

A Custom Loss Function for Deep Learning-Based Brain MRI Reconstruction

Damping acoustic noise for MRI in Radiotherapy Settings

Damping of acoustic noise for neonatal MRI at 7 Tesla

Data driven algorithm for multicomponent T2 analysis based on identification of spatially global sub-voxel features

Data-driven analysis of Cerebrovascular Reactivity Mappingwith Breath-Hold BOLDMRI in Patients with gliomas

Data-driven bases optimization for fitting of in vivo MR spectra

Data-driven modification of the LI-RADS major feature system: toward better sensitivity and simplicity

Data-driven separation of MRI signal components for tissue characterization

DCE-MRI for the Assessment of Outcome of CyberKnife Stereotactic Radiosurgery for Patients with Spinal Metastases

Author:Yongye Chen  Enlong Zhang  Qizheng Wang  Huishu Yuan  Hongqing Zhuang  Ning Lang  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Muscle MRI  

Session Name:Spine  

Program Number:3197  

Room Session:Concurrent 4  

Institution:Peking University International Hospital  Peking University Third Hospital  

DCE-MRI Topology for Early Prediction of Breast Cancer Response to Neoadjuvant Chemotherapy

Deblurring of spiral fMRI images using deep learning

Decline of both iron concentration and iron content within the thalamus of patients with multiple sclerosis over two years

Decomposition of the incomplete volume-surface integral equation matrices for MR coil simulations

Decoupling between global brain activity and cerebrospinal fluid flow is associated with Alzheimer's disease pathologies

Decoupling of global brain activity and cerebrospinal fluid (CSF) flow was evident in Parkinson's cognitive decline

Decreased collagen content in tendons of patients with osteoporosis and osteopenia detected with ultrashort echo time cones MRI

Decreased sciatic nerve fractional anisotropy in diabetes and prediabetes associated with lower and upper limb function impairment

A dedicated 3-ch breast coil for Microwave Tomography at 3T

A dedicated coil for cerebellar fMRI

A Dedicated Multichannel Head Coil Array for PET Insert on 3 T MRI

A Dedicated RF Coil System for 19F MRI of Myocardial Infarction at a 3 T Clinical MRI System

Deep 2D Residual Attention U-net for Accelerated 4D Flow MRI of Aortic Valvular Flows

Author:Ruponti Nath  Sean Callahan  Marcus Stoddard  Amir Amini  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Velocity & Flow  

Session Name:Velocity & Flow: Methods  

Program Number:2096  

Room Session:Concurrent 4  

Institution:University of Louisville  

Deep Artifact Suppression For Real Time Phase Contrast Cardiac Magnetic Resonance imaging.

Author:Olivier Jaubert  Grzegorz Kowalik  Javier Montalt-Tordera  Simon Arridge  Jennifer Steeden  Vivek Muthurangu  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Real-Time Cardiac MRI  

Session Name:Towards Real-Time Cardiac MRI  

Program Number:2885  

Room Session:Concurrent 2  

Institution:UCL  

Deep Cartilage UTE-T2* Shows Compositional Heterogeneity in Patients with Degenerative Meniscus Tears

Author:Ashley Williams  Karyn Chappell  Constance Chu  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Bone, Cartilage & Joint MRI  

Session Name:Cartilage I  

Program Number:2956  

Room Session:Concurrent 4  

Institution:Stanford University  Veterans Affairs Palo Alto Health Care System  

Deep CNNs with Physical Constraints for simultaneous Multi-tissue Segmentation and Quantification (MSQ-Net) of Knee from UTE MRIs

Deep generative manifold model: a novel approach for free breathing dynamic MRI

Author:Qing Zou  Abdul Ahmed  Prashant Nagpal  Rolf Schulte  Mathews Jacob  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Real-Time Cardiac MRI  

Session Name:Towards Real-Time Cardiac MRI  

Program Number:2872  

Room Session:Concurrent 2  

Institution:GE Global Research  University of Iowa  

Deep image reconstruction for MRI usingunregisteredmeasurement pairs without ground truth

Deep Image Synthesis for Extraction of Vascular and Gray Matter Metrics

Deep J-Sense: An unrolled network for jointly estimating the image and sensitivity maps

A Deep k-means Based Tissue Extraction from Reconstructed Human Brain MR Image

Author:Madiha Arshad  Mahmood Qureshi  Omair Inam  Hammad Omer  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning for Image Analysis  

Program Number:2398  

Room Session:Concurrent 1  

Institution:COMSATS University  

Deep Learner estimated isotropic volume fraction enables reliable single-shell NODDI reconstruction

Deep Learning 3D Convolutional Neural Network for Noninvasive Evaluation of Pathologic Grade of HCC Using Contrast-enhanced MRI

Deep Learning Algorithms May Aid In The Evaluation Of Cine Images In Patients With Atrial Arrhythmia – A Case Series

Deep Learning Approach for Lumbosacral Plexus Segmentation from Magnetic Resonance Neurography: Initial Study

A Deep Learning Approach for Robust Segmentation of Livers with High Iron Content from MR Images of Pediatric Patients