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8X Accelerated Intervertebral Disc Compositional Evaluation with Recurrent Encoder-Decoder Deep Learning Network

Author:Aniket Tolpadi  Francesco Caliva  Misung Han  Valentina Pedoia  Sharmila Majumdar  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2179  

Room Session:Concurrent 1  

Institution:UCSF  University of California, Berkeley  

Accelerated cardiac T1 mapping using attention-gated neural networks

Author:Johnathan Le  Jason Mendes  Mark Ibrahim  Brent Wilson  Edward DiBella  Ganesh Adluru  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2178  

Room Session:Concurrent 1  

Institution:University of Utah  

Accelerating 3D MULTIPLEX MRI Reconstruction with Deep Learning

Author:Eric Chen  Yongquan Ye  Xiao Chen  Jingyuan Lyu  Zhongqi Zhang  Yichen Hu  Terrence Chen  Jian Xu  Shanhui Sun  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2177  

Room Session:Concurrent 1  

Institution:UIH America, Inc.  United Imaging Healthcare  United Imaging Intelligence  

Accelerating perfusion quantification using ASL-MRI with a neural network based forward model

Author:Yechuan Zhang  Michael Chappell  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:0335  

Room Session:Concurrent 1  

Institution:University of Nottingham  University of Oxford  

Accurate quantitative parameter maps reconstruction method for tsDESPOT using Low Rank approximated Unet ADMM

Author:Yuuzo Kamiguchi  Sadanori Tomiha  Masao Yui  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2174  

Room Session:Concurrent 1  

Institution:Canon Medical Systems Corporation  

Automated quantitative evaluation of deep learning model for reduced gadolinium dose in contrast-enhanced brain MRI

Author:Srivathsa Pasumarthi  Jon Tamir  Enhao Gong  Greg Zaharchuk  Tao Zhang  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2167  

Room Session:Concurrent 1  

Institution:Subtle Medical Inc  Subtle Medical Inc.  

Bidirectional Translation Between Multi-Contrast Images and Multi-Parametric Maps Using Deep Learning

Author:Shihan Qiu  Yuhua Chen  Sen Ma  Zhaoyang Fan  Anthony Christodoulou  Yibin Xie  Debiao Li  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:0334  

Room Session:Concurrent 1  

Institution:Biomedical Imaging Research Institute, Cedars-Sinai Medical Center  UCLA  

BUDA-STEAM: A rapid parameter estimation method for T1, T2, M0, B0 and B1 using three-90° pulse sequence

Author:Seohee So  Byungjai Kim  Hyunwook Park  Berkin Bilgic  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:0327  

Room Session:Concurrent 1  

Institution:Korea Advanced Institute of Science and Technology  Martinos Center for Biomedical Imaging  

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

Author:Yuze Li  Huijun Chen  Haikun Qi  Zhangxuan Hu  Zhensen Chen  Runyu Yang  Huiyu Qiao  Jie Sun  Tao Wang  Xihai Zhao  Hua Guo  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2175  

Room Session:Concurrent 1  

Institution:GE Healthcare  King’s College London  Peking University Third Hospital  Tsinghua University  University of Washington, Seattle  

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

Author:Ingo Hermann  Alena-Kathrin Golla  Eloy Martinez-Heras  Ralf Schmidt  Elisabeth Solana  Sara Llufriu  Achim Gass  Lothar Schad  Sebastian Weingärtner  Frank Zöllner  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2180  

Room Session:Concurrent 1  

Institution:Delft University of Technology  Universitat de Barcelona  University Heidelberg  

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

Author:Jinwei Zhang  Hang Zhang  Pascal Spincemaille  Mert Sabuncu  Thanh Nguyen  Ilhami Kovanlikaya  Yi Wang  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2166  

Room Session:Concurrent 1  

Institution:Cornell University  Weill Cornell Medical College  

DeepTSE-T2: Deep learning-powered T2 mapping with B1+ estimation using a product double-echo Turbo Spin Echo sequence

Author:Hwihun Jeong  Hyeong-Geol Shin  Sooyeon Ji  Jinhee Jang  Hyun-Soo Lee  Yoonho Nam  Jongho Lee  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:0328  

Room Session:Concurrent 1  

Institution:Hankuk University of Foreign Studies  Seoul National University  Siemens healthineers Ltd  The Catholic University of Korea  

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  

Free-breathing Abdomen T2 mapping via Single-shot Multiple Overlapping-echo Acquisition and Deep Neural Network Reconstruction

Author:Xi Lin  Qinqin Yang  Jianfeng Bao  Shuhui Cai  Zhong Chen  Congbo Cai  Jingliang Cheng  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2170  

Room Session:Concurrent 1  

Institution:The First Affiliated Hospital of Zhengzhou University, Zhengzhou University  Xiamen University  

Global and Local Deep Dictionary Learning Network for Accelerating the Quantification of Myelin Water Content

Author:Quan Chen  Huajun She  Zhijun Wang  Yiping Du  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2163  

Room Session:Concurrent 1  

Institution:Shanghai Jiao Tong University  

In-Vivo evaluation of high resolution T2 mapping using Bloch simulations and MP-PCA image denoising

Author:Neta Stern  Dvir Radunsky  Tamar Blumenfeld-Katzir  Yigal Chechik  Chen Solomon  Noam Ben-Eliezer  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2172  

Room Session:Concurrent 1  

Institution:Shamir Medical Center  Tel Aviv University  New-York University  

Learned Proximal Convolutional Neural Network for Susceptibility Tensor Imaging

Author:Kuo-Wei Lai  Jeremias Sulam  Manisha Aggarwal  Peter van Zijl  Xu Li  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2176  

Room Session:Concurrent 1  

Institution:Johns Hopkins University  Kennedy Krieger Institute  

MoG-QSM: A Model-basedGenerative Adversarial DeepLearning Network for Quantitative Susceptibility Mapping

Author:Ruimin Feng  Yuting Shi  Jie Feng  Yuyao Zhang  Hongjiang Wei  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:0331  

Room Session:Concurrent 1  

Institution:School of Biomedical Engineering, Shanghai Jiao Tong University  School of Information Science and Technology, ShanghaiTech University  

MRzero with dAUTOMAP reconstruction– automated invention of MR acquisition and neural network reconstruction

Author:Hoai Nam Dang  Simon Weinmüller  Alexander Loktyushin  Felix Glang  Arnd Dörfler  Andreas Maier  Bernhard Schölkopf  Klaus Scheffler  Moritz Zaiss  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:0333  

Room Session:Concurrent 1  

Institution:Friedrich-Alexander Universität Erlangen-Nürnberg (FAU)  Max-Planck Institute for Biological Cybernetics  Max-Planck Institute for Intelligent Systems  Eberhard Karls University Tübingen  

Myelin water fraction determination from relaxation times and proton density through deep learning neural network

Author:Nikkita Khattar  Zhaoyuan Gong  Matthew Kiely  Curtis Triebswetter  Maryam Alsameen  Mustapha Bouhrara  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2171  

Room Session:Concurrent 1  

Institution:Laboratory of Clinical Investigation, National Institute on Aging  

qMTNet+: artificial neural network with residual connection for accelerated quantitative magnetization transfer imaging

Author:Huan Luu  Dong-Hyun Kim  Seung-Hong Choi  Sung-Hong Park  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2162  

Room Session:Concurrent 1  

Institution:Korea Advanced Institute of Science and Technology  Seoul National University Hospital  

Rapid learning of tissue parameter maps through random FLASH contrast synthesis

Author:Divya Varadarajan  Katie Bouman  Bruce Fischl*  Adrian Dalca*  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2173  

Room Session:Concurrent 1  

Institution:California Institute of Technology  Martinos Center for Biomedical Imaging  Harvard Medical School  Massachusetts Institute of Technology  Massachusetts General Hospital  

Rapid MR Parametric Mapping using Deep Learning

Author:Jing Cheng  Yuanyuan Liu  Xin Liu  Hairong Zheng  Yanjie Zhu  Dong Liang  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2164  

Room Session:Concurrent 1  

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

A self-supervised deep learning approach to synthesize weighted images and T1, T2, and PD parametric maps based on MR physics priors

Author:Elisa Moya-Sáez  Rodrigo de Luis-García  Carlos Alberola-López  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2169  

Room Session:Concurrent 1  

Institution:University of Valladolid  Fundación Científica AECC  

Self-supervised Deep Learning for Rapid Quantitative Imaging

Author:Fang Liu  Li Feng  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:0332  

Room Session:Concurrent 1  

Institution:Harvard Medical School  Icahn School of Medicine at Mount Sinai  

The sensitivity of classical and deep image similarity metrics to MR acquisition parameters

Author:Veronica Ravano  Gian Franco Piredda  Tom Hilbert  Bénédicte Maréchal  Reto Meuli  Jean-Philippe Thiran  Tobias Kober  Jonas Richiardi  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2181  

Room Session:Concurrent 1  

Institution:Ecole Polytechnique Fédérale de Lausanne  Lausanne University Hospital and University of Lausanne  Siemens Healthineers  

Synthesizing large scale datasets for training deep neural networks in quantitative mapping of myelin waterfraction

Author:Serge Vasylechko  Simon Warfield  Sila Kurugol  Onur Afacan  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2165  

Room Session:Concurrent 1  

Institution:Boston Children's Hospital  Harvard Medical School  

Track-To-Learn: A general framework for tractography with deep reinforcement learning

Author:Antoine Théberge  Christian Desrosiers  Maxime Descoteaux  Pierre-Marc Jodoin  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:0336  

Room Session:Concurrent 1  

Institution:École de technologie supérieure  Université de Sherbrooke  

Unsupervised physics-informed deep learning (N=1) for solving inverse qMRI problems – Relaxometry and field mapping from multi-echo data

Author:Ilyes Benslimane  Thomas Jochmann  Robert Zivadinov  Ferdinand Schweser  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:0330  

Room Session:Concurrent 1  

Institution:Buffalo 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  Department of Computer Science and Automation, Technische Universität Ilmenau, Ilmenau, Germany  Center for Biomedical Imaging, Clinical and Translational Science Institute at the University at Buffalo, Buffalo, NY, USA  

Using an ANN to estimate Initial Values for Mapping of the Oxygen Extraction Fraction with combined QSM and qBOLD

Author:Patrick Kinz  Sebastian Thomas  Lothar Schad  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Machine Learning for Quantitative Imaging  

Program Number:2168  

Room Session:Concurrent 1  

Institution:Heidelberg University, Medical Faculty Mannheim