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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  

Ablation Studies in 3D Encoder-Decoder Networks for Brain MRI-to-PET Cerebral Blood Flow Transformation

Author:Ramy Hussein  Moss Zhao  Jia Guo  Kevin Chen  David Shin  Michael Moseley  Greg Zaharchuk  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2195  

Room Session:Concurrent 1  

Institution:GE Healthcare  Stanford University  University of California, Riverside  

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.  

Automatic Quantitative Analysis of Low-field Infant Brain MR Images

Author:Bo Peng  Baohua Hu  Mao Sheng  Yuqi Liu  ZhongChang Miao  Zijun Dong  Jian Bao  SiSeung Kim  Bing Keong Li  Yakang Dai  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2188  

Room Session:Concurrent 1  

Institution:Department of Medical Imaging, Lianyungang Women and Children Hospital and Health Institute  Department of Radiology, Children’s Hospital of Soochow University  Department of Radiology, The First People’s Hospital of Lianyungang  Jiangsu LiCi Medical Device Co., Ltd.  Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences  Suzhou Key Laboratory of Medical and Health Information Technology  Jinan Guoke Medical Engineering Technology Development co., Ltd.  

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  

Comparison of deformable registration techniques for real-time MR-based motion correction in PET/MR

Author:Thibault Marin  Yanis Djebra  Paul Han  Vanessa Landes  Yue Zhuo  Kuan-Hao Su  Georges El Fakhri  Chao Ma  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2197  

Room Session:Concurrent 1  

Institution:GE Healthcare  Massachusetts General Hospital, Harvard Medical School  LTCI, Telecom Paris, Institut Polytechnique de Paris  

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

Author:Zhuopin Sun  Steven Meikle  Fernando Calamante  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2193  

Room Session:Concurrent 1  

Institution:The University of Sydney  

Correction of Image Distortions Arising from RF Encoding with Nonlinear Fields

Author:Paul Wang  Michael Mullen  Lance DelaBarre  Michael Garwood  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2191  

Room Session:Concurrent 1  

Institution:University of Minnesota  

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 for fast 3D low field MRI

Author:Reina Ayde  Tobias Senft  Najat Salameh  Mathieu Sarracanie  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2192  

Room Session:Concurrent 1  

Institution:University of Basel  

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  

Development and Evaluation of a software for Parametric Patlak mapping using PET/MRI input function (CALIPER).

Author:Praveen Dassanayake  Lumeng Cui  Elizabeth Finger  Andrea Soddu  Bjoern Jakoby  Keith St. Lawrence  Gerald Moran  Udunna Anazodo  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2196  

Room Session:Concurrent 1  

Institution:Lawson Health Research Institute  Siemens Healthineers  University of Saskatchewan  University of Surrey  University of Western Ontario  

Development of a Numerical Bloch Solver for Low-Field Pulse Sequence Modeling

Author:John Adams  William Handler  Blaine Chronik  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2187  

Room Session:Concurrent 1  

Institution:Western University  xMR Labs  

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  

First-Principle Image SNR Synthesis Depending on Field Strength

Author:Charles McGrath  Mohammed Albannay  Alexander Jaffray  Christian Guenthner  Sebastian Kozerke  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2186  

Room Session:Concurrent 1  

Institution:University and ETH Zurich  

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  

Free-Breathing MR-based Attenuation Correction for Whole-Body PET/MR Exams

Author:Patrick Korf  Wolfgang Thaiss  Ambros Beer  Meinrad Beer  Dominik Nickel  Thomas Vahle  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2185  

Room Session:Concurrent 1  

Institution:Siemens Healthcare GmbH  University Hospital Ulm  

Generalizing Ultra-low-dose PET/MRI Networks Across Radiotracers: From Amyloid to Tau

Author:Kevin Chen  Olalekan Adeyeri  Tyler Toueg  Elizabeth Mormino  Mehdi Khalighi  Greg Zaharchuk  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2194  

Room Session:Concurrent 1  

Institution:Salem State University  Stanford 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  

High resolution PET image denoising using anatomical priors by K-nearest neighborhood method in the feature space

Author:Mehdi Khalighi  Timothy Deller  Kevin Chen  Tyler Toueg  Dawn Holley  Kim Halbert  Floris Jansen  Elizabeth Mormino  Michael Zeineh  Farshad Moradi  Greg Zaharchuk  Andrei Iagaru  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2184  

Room Session:Concurrent 1  

Institution:GE Healthcare  Stanford University  

Impact of motion on simultaneously acquired PET/MRI of myocardial infarcted heart.

Author:Heeseung Lim  Benjamin Wilk  Jane Sykes  John Butler  Gerald Moran  Jonathan Thiessen  Gerald Wisenberg  Frank Prato  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2183  

Room Session:Concurrent 1  

Institution:Lawson Health Research Institute  Siemens Healthcare Limited  MyHealth Centre  Western 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  

Low-field MR imaging using multiplicative regularization

Author:Merel de Leeuw den Bouter  Martin van Gijzen  Rob Remis  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2189  

Room Session:Concurrent 1  

Institution:Delft University of Technology  

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  

MR-based motion correction and anatomical guidance for improved PET image reconstruction in cardiac PET-MR imaging

Author:Camila Munoz  Sam Ellis  Stephan Nekolla  Karl Kunze  Teresa Vitadello  Radhouene Neji  René Botnar  Julia Schnabel  Andrew Reader  Claudia Prieto  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2182  

Room Session:Concurrent 1  

Institution:King's College London  Technical University of Munich  Technische Universitat Munchen  Siemens Healthcare Limited  

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 registration approach for cardiac PET/CT and MR images

Author:Xiaomeng Wu  Shuai Liu  Li Huo  Xihai Zhao  Fei Shang  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2198  

Room Session:Concurrent 1  

Institution:Beijing institute of technology  Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College  Tsinghua University School of Medicine  

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 Denoising for Low-field Diffusion MRI

Author:Jo Schlemper  Neel Dey  Seyed Sadegh Mohseni Salehi  Carole Lazarus  Rafael O'Halloran  Prantik Kundu  Michal Sofka  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2190  

Room Session:Concurrent 1  

Institution:Hyperfine Research Inc.  New York University  Icahn School of Medicine at Mount Sinai  

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