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Comparison of data-driven and physics-informed learning approaches for optimising multi-contrast MRI acquisition protocols

Author:Álvaro Planchuelo-Gómez  Maxime Descoteaux  Santiago Aja-Fernández  Jana Hutter  Derek Jones  Chantal Tax  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3701  

Room Session:Exhibition Halls D/E  

Institution :Cardiff University  King's College London  Universidad de Valladolid  Université de Sherbrooke  Utrecht University  

Predicting Abdominal MRI Protocols using Electronic Health Records

Author:Peyman Shokrollahi  Juan Zambrano Chaves  Avishkar Sharma  Jonathan Lam  Debashish Pal  Naeim Bahrami  Akshay Chaudhari  Andreas Loening  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3702  

Room Session:Exhibition Halls D/E  

Institution :GE Healthcare  Stanford University  

Theoretical guaranteed unfolding method for k-space interpolation in a self-supervised manner

Author:Chen Luo  Zhuoxu Cui  Huayu Wang  Qiyu Jin  Guoqing Chen  Dong Liang  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3703  

Room Session:Exhibition Halls D/E  

Institution :Inner Mongolia University  Shenzhen Institute of Advanced Technology,Chinese Academy of Sciences  

Deep learning-based acquisition protocol optimization and parameter estimation for diffusion exchange spectroscopy

Author:Zhaowei Cheng  Guangxu Han  Songtao Hu  Ke Fang  Ruiliang Bai  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3704  

Room Session:Exhibition Halls D/E  

Institution :Zhejiang University  

Feasibility of Deep Learning Reconstruction in Prostate Multiparametric MRI: a Preliminary Prospective Study

Author:Yichen Wang  Xinxin Zhang  Sicong Wang  Xinming Zhao  Yan Chen  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3705  

Room Session:Exhibition Halls D/E  

Institution :GE Healthcare, MR Research  National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy  

Deep Learning Augmented PROPELLER Reconstruction for Improved MRI Motion Correction

Author:Sixing Liu  Lifeng Mei  Shoujin Huang  Mengye Lyu  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3706  

Room Session:Exhibition Halls D/E  

Institution :ShenZhen Technology University  

Deep learning reconstruction algorithm for 100-second rapid Ischemic stroke imaging

Author:Xin Fang  ailian liu  Qingwei Song  Guobin Li  Shuheng Zhang  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3707  

Room Session:Exhibition Halls D/E  

Institution :Shanghai United Imaging Healthcare Co., Ltd  The First Affiliated Hospital of Dalian Medical University  

Perturbation loss with carrier image reconstruction: A loss function for optimized point spread functions

Author:R. Marc Lebel  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3708  

Room Session:Exhibition Halls D/E  

Institution :GE Healthcare  University of Calgary  

U-JET: Preliminary results of a convolutional neural network approach for distortion-free image reconstruction of PROPELLER data

Author:Jörn Huber  Klaus Eickel  Matthias Günther  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3709  

Room Session:Exhibition Halls D/E  

Institution :Fraunhofer Institute for Digital Medicine MEVIS  mediri GmbH  Faculty 1 (Physics/Electrical Engineering), University of Bremen  

A Faithful Deep Sensitivity Estimation Makes High-quality MRI Reconstruction

Author:Zi Wang  Haoming Fang  Chen Qian  Boxuan Shi  Lijun Bao  Liuhong Zhu  Jianjun Zhou  Wenping Wei  Jianzhong Lin  Di Guo  Xiaobo Qu  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3710  

Room Session:Exhibition Halls D/E  

Institution :Xiamen University  Xiamen University of Technology  Zhongshan Hospital (Xiamen), Fudan University  Zhongshan Hospital affiliated to Xiamen University  

PIFN EPT: MR-Based Electrical Property Tomography Using Physics-Informed Fourier Networks

Author:Xinling Yu  Jose Serralles  Ilias Giannakopoulos  Ziyue Liu  Luca Daniel  Riccardo Lattanzi  Zheng Zhang  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3711  

Room Session:Exhibition Halls D/E  

Institution :Massachusetts Institute of Technology  New York University Grossman School of Medicine  University of California, Santa Barbara  

Super resolution imaging from low-field strength scanners using generative adversarial networks

Author:Thomas Arnold  Serhat Okar  Danni Tu  Govind Nair  John Pitts  Megan Poorman  Karan Kawatra  Lisa Desiderio  Matthew Schindler  Brian Litt  Russell Shinohara  Daniel Reich  Joel Stein  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3712  

Room Session:Exhibition Halls D/E  

Institution :Hyperfine  National Institute of Neurological Disorders and Stroke  University of Pennsylvania  

Impact of sampling strategies and residual U-net reconstruction on preserving high spatial frequencies in accelerated low-field MRI

Author:Reina Ayde  Tobias Senft  Marco Fiorito  Mauro Spreiter  Najat Salameh  Mathieu Sarracanie  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3713  

Room Session:Exhibition Halls D/E  

Institution :University of Basel  University of Aberdeen  

A deep learning approach for compressed sensing reconstruction using adaptive shrinkage threshold

Author:Yuan Lian  Hua Guo  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3714  

Room Session:Exhibition Halls D/E  

Institution :Center for Biomedical Imaging Research, Department of Biomedical Engineering, School of Medicine, Tsinghua University  

The role of training on the robustness of domain-transform manifold learning

Author:Danyal Bhutto  Bo Zhu  Jeremiah Liu  Stephen Cauley  Neha Koonjoo  Bruce Rosen  Matthew Rosen  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3715  

Room Session:Exhibition Halls D/E  

Institution :Athinoula A. Martinos Center for Biomedical Imaging  Boston University  Google  Harvard Medical School  Harvard University  

Relative noise variation with Unrolled Neural Networks for Accelerated Cardiac Cine Reconstruction

Author:Suryanarayanan Kaushik  Xucheng Zhu  Robert Lebel  Kavitha Manickam  Ke Li  Kailash Saravanan  Florian Wiesinger  Martin Janich  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3716  

Room Session:Exhibition Halls D/E  

Institution :GE Healthcare  

A noise robust image reconstruction deep neural network with cycle interpolation

Author:Jeewon Kim  Wonil Lee  Beomgu Kang  Seohee So  HyunWook Park  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3717  

Room Session:Exhibition Halls D/E  

Institution :Korea Advanced Institute of Science and Technology (KAIST)  Korea Institute of Science and Technology  

Feasibility of Deep Learning Reconstruction in the Clinical Application of MRI for patients with Bladder Cancer: a preliminary prospective study

Author:Xinxin Zhang  Yichen Wang  Sicong Wang  Min Li  Yan Chen  Xinming Zhao  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3718  

Room Session:Exhibition Halls D/E  

Institution :GE Healthcare, MR Research China, Beijing  National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China  

Rapid multi-slice whole-brain B1+-mapping at 7T using deep learning

Author:Felix Krueger  Christoph Stefan Aigner  Max Lutz  Layla Tabea Riemann  Katja Degenhardt  Bernd Ittermann  Tobias Schaeffter  Kerstin Hammernik  Sebasian Schmitter  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3719  

Room Session:Exhibition Halls D/E  

Institution :Physikalisch-Technische Bundesanstalt  Technical University of Munich  German Cancer Research Center (DKFZ)  Imperial college London  King's College London  University of Minnesota  

Universal sequence-invariant deep learning image reconstruction for cardiovascular MR Multitasking

Author:Zheyuan Hu  Zihao Chen  Hsu-Lei Lee  Yibin Xie  Debiao Li  Anthony Christodoulou  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Acquisition & Reconstruction I  

Program Number:3720  

Room Session:Exhibition Halls D/E  

Institution :Cedars-Sinai Medical Center  University of California, Los Angeles