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Elliptical shells: a fast single-shot 3D readout for Arterial Spin Labeling perfusion imaging

Author:Joseph Woods  Divya Bolar  Eric Wong  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Novel Acquisitions  

Session Name:Data Acquisition Sampling Trajectories  

Program Number:0888  

Room Session:Concurrent 1  

Institution:University of California San Diego  

Enhancing diffusion tensor distribution imaging via denoising of tensor-valued diffusion MRI data

Enhancing the Reconstruction quality of Physics-Guided Deep Learning via Holdout Multi-Masking

ENSURE: Ensemble Stein's Unbiased Risk Estimator for Unsupervised Learning

eRAKI: Fast Robust Artificial neural networks for K-space Interpolation (RAKI) with Coil Combination and Joint Reconstruction

Established a rat model of discogenic low back pain for evaluating the paravertebral muscle functional magnetic resonance changes

Estimating tissue volume fractions and proton density in multi-component MRF

Estimating Uncertainty in Deep Learning MRI Reconstruction using a Pixel Classification Image Reconstruction Framework

Author:Kamlesh Pawar  Gary Egan  Zhaolin Chen  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:0276  

Room Session:Concurrent 1  

Institution:Monash University  

Evaluating Universal and Fast Online Customized Pulses for parallel transmission using two different RF coils

Evaluation of Automated Brain Tumor Localization by Explainable Deep Learning Methods

Evaluation of noise reduction performance using deep learning reconstruction: A phantom study

Exploring cyto-architecture of Brodmann areas with High-resolution 3D MR Fingerprinting

Exploring RF pulse design with deep reinforcement learning

Extended Accelerated Systematic Tracking using Experimental Radiology: an Encephalo-Graphic Generation

Author:S. T. Claus  Y. Eti  E. S. Terbuny  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Novel Acquisitions  

Session Name:Novel Encoding Strategies  

Program Number:0918  

Room Session:Concurrent 1  

Institution:Atopof Amountain  Greenfield Institute  North Pole Research Agency  

Extracting information from diffusion MRI models to visualize the adequacy of acquisition protocols

Fast $$$T_{2}^{*}$$$ Mapping Using Complementary Poisson Disk Sampling and ADMM Reconstruction

Author:Charles Iglehart  Ali Bilgin  Evan Levine  Manojkumar Saranathan  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Novel Acquisitions  

Session Name:Data Acquisition Sampling Trajectories  

Program Number:0881  

Room Session:Concurrent 1  

Institution:Microsoft Research  University of Arizona  

Fast 2D J-resolved MRSI combining echo planar imaging acquisition and turbo spin echo train evolution

Fast 3D whole Heart Imaging using low-discrepancy Sampling Strategies

Author:Tobias Speidel  Dagmar Bertsche  Patrick Metze  Kilian Stumpf  Wolfgang Rottbauer  Volker Rasche  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Novel Acquisitions  

Session Name:Data Acquisition Sampling Trajectories  

Program Number:0879  

Room Session:Concurrent 1  

Institution:Ulm University Hospital  

Fast abdominal T2 weighted PROPELLER using deep learning-based acceleration of parallel imaging

Fast acquisition of 31-P creatin kinease chemical exchange rate and relaxation rates of ?-ATP and PCr in vivo human brain at 7T using MRS-FP

Author:Mark Widmaier  Song-I Lim  Lijing Xin  

Session Type:Oral  

Session Date:Monday, 17 May 2021  

Topic:Advances in MR Fingerprinting  

Session Name:Advances in MR Fingerprinting  

Program Number:0174  

Room Session:Concurrent 1  

Institution:CIBM, EPFL  

Fast and Accurate Modeling of Transient-state Sequences by Recurrent Neural Networks

Author:Hongyan Liu  Oscar van der Heide  Cornelis van den Berg  Alessandro Sbrizzi  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:0329  

Room Session:Concurrent 1  

Institution:UMC Utrecht  

Fast and quiet 3D MPRAGE using a silent gradient axis - sequence development

Fast and repeatable multi-parametric mapping using 3D Echo-Planar Time-resolved Imaging (3D-EPTI)

Fast Calibrationless Image-space Reconstruction by Structured Low-rank Tensor Estimation of Coil Sensitivity and Spatial Support

Fast Deep Learning Motion-Resolved Golden-Angle Radial MRI Reconstruction

Fast Image Reconstruction for Non-Cartesian Acquisitions in the Presence of B0-inhomogeneities

Fast T1 mapping and weighting MRI in preclinical and clinical settings using subspace-constrained joint-domains reconstructions

FAST T1 MAPPING: ACCURACY AND REPRODUCIBILITY OF VOLUMETRIC SEQUENCES FOR BRAIN RELAXOMETRY

Fast T2 Mapping with Improved Accuracy Using Memory-Efficient Low-Rank Hankel Matrix Reconstruction

Fast T2-mapping in prostate cancer based on echo-time domain compressed sensing

Fast Variable Density Poisson-Disc Sample Generation with Directional Variation for Compressed Sensing

A faster and improved tailored Magnetic Resonance Fingerprinting

Faster Bloch simulations and MR-STAT reconstructions on GPU using the Julia programming language

Fat-insensitive T2water measurement using multiple Dixon turbo spin-echo acquisitions with effective echo time increments

Fat-Saturated MR Image Synthesis with Acquisition Parameter-Conditioned Image-to-Image Generative Adversarial Network

Feasibility and insights into transient state phase-based mapping for rapid T2 quantification in the myocardium

Feasibility of a Novel Sampling/Reconstruction Method Ensuring a SNR Benefit Over the Traditional Sampling Approach

Author:Samuel Perron  Matthew Fox  Hacene Serrai  Alexei Ouriadov  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Novel Acquisitions  

Session Name:Novel Encoding Strategies  

Program Number:0911  

Room Session:Concurrent 1  

Institution:The University of Western Ontario  Lawson Health Research Institute  

Feasibility of a single low dose dual temporal resolution DCE-MRI method forwhole-brain, high-spatial resolution parametric mapping

Feasibility of high resolution quantitative magnetic resonance imaging using variable flip angle and spoiling phase angle

Feasibility of Super Resolution Speech RT-MRI using Deep Learning

The feasibility of T1? magnetic resonance fingerprinting with a random design of T1? preparationat 11.7T

Federated Multi-task Image Classification on Heterogeneous Medical data with Privacy Perversing

A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors

Author:Salman Ul Hassan Dar  Mahmut Yurt  Tolga Çukur  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning for Image Reconstruction  

Program Number:1949  

Room Session:Concurrent 1  

Institution:Bilkent University