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Comprehensive Analysis of FatNav Motion Parameters Estimation Accuracy in 3D Brain Images Acquired at 3T

Author:Elisa Marchetto  Kevin Murphy  Daniel Gallichan  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Motion Correction Strategies  

Session Name:Motion: Brain & Body  

Program Number:1376  

Room Session:Concurrent 1  

Institution:Cardiff University  

Compressed Sensing MRI Revisited: Optimizing $$$\ell_{1}$$$-Wavelet Reconstruction with Modern Data Science Tools

Compressed sensing MRI via a fusion model based on image and gradient priors

Author:Yuxiang Dai  Cheng yan Wang  He Wang  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Reconstruction  

Session Name:Machine Learning to Reconstruct Accelerated Scans  

Program Number:1980  

Room Session:Concurrent 1  

Institution:Fudan University  

A computational fluid dynamics framework to generate digital reference objects for perfusion imaging

Computer vision object tracking for MRI motion estimation

Author:Stefan Wampl  Tito Körner  Martin Meyerspeer  Marcos Wolf  Maxim Zaitsev  Albrecht Ingo Schmid  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Motion Correction Strategies  

Session Name:Motion: Methods  

Program Number:1363  

Room Session:Concurrent 1  

Institution:Medical University of Vienna  

CONN-NLM: a novel CONNectome-based Non-Local Means filter for PET-MRI denoising

Consistency, ablation, and scalability studies of DeepRF

Author:Dongmyung Shin  Jiye Kim  Juhyung Park  Jongho Lee  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:New strategies in RF Pulse Design  

Session Name:RF Pulses  

Program Number:3959  

Room Session:Concurrent 1  

Institution:Seoul National University  

Contrast enhancement of a magnetization prepared steady state sequence: an optimal control framework

Convolutional Neural Network for Slab Profile Encoding (CPEN) in Simultaneous Multi-slab (SMSlab) Diffusion Weighted Imaging

Correcting Signal Intensity Bias in 19F MR Imaging of Inflammation by Statistical Modelling

Correction of Image Distortions Arising from RF Encoding with Nonlinear Fields

Correlation between multi-echo ultrashort TE and mDIXON-quant imaging for R2* mapping in liver cirrhosis

Cortical Mapping and T1-Relaxometry using Motion Corrected MPnRAGE: Test-Retest Reliability with and without Motion Correction

Author:Steven Kecskemeti  Abigail Freeman  Andrew Alexander  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Motion Correction Strategies  

Session Name:Motion: Brain & Body  

Program Number:1373  

Room Session:Concurrent 1  

Institution:University of Wisconsin-Madison  

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

Current Status of Quantitative CMR in the Clinic

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

    Deblurring of spiral fMRI images using deep learning

    Deep image reconstruction for MRI usingunregisteredmeasurement pairs without ground truth

    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 Learning Based Joint MR Image Reconstruction and Under-sampling Pattern Optimization

    Deep Learning Enhanced T1 Mapping and Reconstruction Framework with Spatial-temporal and Physical Constraint

    Deep learning for fast 3D low field MRI

    Deep Learning Reconstruction of MR Fingerprinting for simultaneous T1, T2* mapping and generation of WM, GM and WM lesion probability maps

    Deep Learning-Based Respiratory Navigator Echo (DLnav) for Robust Free-Breathing Abdominal MRI

    Author:Yuji Iwadate  Atsushi Nozaki  Shigeo Okuda  Tetsuya Wakayama  Masahiro Jinzaki  

    Session Type:Digital Poster  

    Session Date:Monday, 17 May 2021  

    Topic:Motion Correction Strategies  

    Session Name:Motion: Methods  

    Program Number:1356  

    Room Session:Concurrent 1  

    Institution:GE Healthcare Japan  Keio University School of Medicine  

    Deep Learning-Based Rigid-Body Motion Correction in MRI using Multichannel Data

    Author:Miriam Hewlett  Ivailo Petrov  Maria Drangova  

    Session Type:Digital Poster  

    Session Date:Monday, 17 May 2021  

    Topic:Motion Correction Strategies  

    Session Name:Motion: Methods  

    Program Number:1357  

    Room Session:Concurrent 1  

    Institution:Robarts Research Institute  Western University  

    Deep learning-based thoracic cavity segmentation for hyperpolarized 129Xe MRI

    Deep unrolled network with optimal sampling pattern to accelerate multi-echo GRE acquisition for quantitative susceptibility mapping

    DeepControl: AI-powered slice flip-angle homogenization by 2DRF pulses

    A Deep-Learning Framework for Image Reconstruction of Undersampled and Motion-Corrupted k-space Data

    Deep-Learning-Based Motion Correction For Quantitative Cardiac MRI

    Author:Alfredo De Goyeneche  Shuyu Tang  Nii Addy  Bob Hu  William Overall  Juan Santos  

    Session Type:Oral  

    Session Date:Tuesday, 18 May 2021  

    Topic:Machine Learning for Image Analysis  

    Session Name:Machine Learning for Image Analysis  

    Program Number:0387  

    Room Session:Concurrent 1  

    Institution:HeartVista, Inc.  

    DeepResp: Deep Neural Network for respiration-induced artifact correction in 2D multi-slice GRE

    DeepRF-Grad: Simultaneous design of RF pulse and slice selective gradient using self-learning machine

    Author:Jiye Kim  Dongmyung Shin  Juhyung Park  Hwihun Jeong  Jongho Lee  

    Session Type:Digital Poster  

    Session Date:Thursday, 20 May 2021  

    Topic:New strategies in RF Pulse Design  

    Session Name:RF Pulses  

    Program Number:3957  

    Room Session:Concurrent 1  

    Institution:Seoul National University  

    DeepSlider: Deep learning-powered gSlider for improved robustness and performance