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Accelerating the B0 Inhomogeneity Correction for GluCEST Imaging Using Deep Learning

Author:Yiran Li  Danfeng Xie  Abigail Cember  Ravi Prakash Reddy Nanga  Hanlu Yang  Dushyant Kumar  Hari Hariharan  Li Bai  John A. Detre  Ravinder Reddy  Ze Wang  

Institution:Temple University  University of Maryland School of Medicine  University of Pennsylvania Perelman School of Medicine  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Tuesday, 11 August 2020  

Topic:System Imperfections, Artifacts, and More  

Session Name:Machine Learning: Artifact Correction, Quantification & Reconstruction  

Program Number:0676  

Room Live Q&A Session:Tuesday Parallel 3  

Artificial neural networks for numerical differentiation with application to magnetic resonance elastography

Author:Matthew Murphy  Joshua Trzasko  Jonathan Scott  Armando Manduca  III, John Huston  Richard Ehman  

Institution:Mayo Clinic  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Tuesday, 11 August 2020  

Topic:System Imperfections, Artifacts, and More  

Session Name:Machine Learning: Artifact Correction, Quantification & Reconstruction  

Program Number:0681  

Room Live Q&A Session:Tuesday Parallel 3  

Consistency in human and machine-learning based scan-planes for clinical knee MRI planning

Author:Chitresh Bhushan  Dattesh Shanbhag  Andre Maximo  Uday Patil  Radhika Madhavan  Matthew Frick  Kimberly Amrami  Desmond Teck Beng yeo  Thomas Foo  

Institution:GE Healthcare  GE Research  Mayo Clinic  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Tuesday, 11 August 2020  

Topic:System Imperfections, Artifacts, and More  

Session Name:Machine Learning: Artifact Correction, Quantification & Reconstruction  

Program Number:0675  

Room Live Q&A Session:Tuesday Parallel 3  

Construction of water-fat separation deep learning model combined with multi-echo nature of gradient-recalled echo sequence

Author:Kewen Liu  Xiaojun Li  Qinjia Bao  Chaoyang Liu  Hongxia Xiong  Zhao Li  Yuan Ma  Panpan Fang  Yalei Chen  

Institution:State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Institute of Physics and Mathmatics, Innovation Academy for Precision Measurement Science and Technology  School of Civil Engineering & Architecture, Wuhan University of T  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Tuesday, 11 August 2020  

Topic:System Imperfections, Artifacts, and More  

Session Name:Machine Learning: Artifact Correction, Quantification & Reconstruction  

Program Number:0680  

Room Live Q&A Session:Tuesday Parallel 3  

Convolutional Neural Network for Slice Encoding for Metal Artifact Correction (SEMAC) MRI

Author:Sunghun Seo  Won-Joon Do  Huan Luu  Ki Hwan Kim  Seung Hong Choi  Sung-Hong Park  

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

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Tuesday, 11 August 2020  

Topic:System Imperfections, Artifacts, and More  

Session Name:Machine Learning: Artifact Correction, Quantification & Reconstruction  

Program Number:0674  

Room Live Q&A Session:Tuesday Parallel 3  

DeepRespi: Retrospective correction for respiration-induced B0 fluctuation artifacts using deep learning

Author:Hongjun An  Hyeong-Geol Shin  Woojin Jung  Jongho Lee  

Institution:Seoul National University  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Tuesday, 11 August 2020  

Topic:System Imperfections, Artifacts, and More  

Session Name:Machine Learning: Artifact Correction, Quantification & Reconstruction  

Program Number:0673  

Room Live Q&A Session:Tuesday Parallel 3  

Highly Accelerated MPRAGE Imaging of the Brain Incorporating Deep Learning Priors with Subject-Specific Novel Features

Author:Yue Guan  Yudu Li  Ziyu Meng  Tianyao Wang  Rong Guo  Ruihao Liu  Yao Li  Yiping Du  Zhi-Pei Liang  

Institution:Shanghai Jiao Tong University  The Fifth People's Hospital of Shanghai  University of Illinois at Urbana-Champaign  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Tuesday, 11 August 2020  

Topic:System Imperfections, Artifacts, and More  

Session Name:Machine Learning: Artifact Correction, Quantification & Reconstruction  

Program Number:0686  

Room Live Q&A Session:Tuesday Parallel 3  

High-Performance Rapid Quantitative Imaging with Model-Based Deep Adversarial Learning

Author:Fang Liu  Li Feng  

Institution:Icahn School of Medicine at Mount Sinai  Massachusetts General Hospital, Harvard Medical School  University of Wisconsin-Madison  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Tuesday, 11 August 2020  

Topic:System Imperfections, Artifacts, and More  

Session Name:Machine Learning: Artifact Correction, Quantification & Reconstruction  

Program Number:0677  

Room Live Q&A Session:Tuesday Parallel 3  

Investigating the robustness of convolutional neural network based B1+ prediction from localizer scans for SAR efficient 7T FLAIR imaging

Author:Shahrokh Abbasi-Rad  Kieran O'Brien  Samuel Kelly  Viktor Vegh  Anders Rodell  Yasvir Tesiram  Jin Jin  Markus Barth  Steffen Bollmann  

Institution:Siemens Healthcare Pty Ltd  University of Queensland  University of Southern California  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Tuesday, 11 August 2020  

Topic:System Imperfections, Artifacts, and More  

Session Name:Machine Learning: Artifact Correction, Quantification & Reconstruction  

Program Number:0683  

Room Live Q&A Session:Tuesday Parallel 3  

Joint 3D parameter mapping and motion correction using a kernel low rank method with offline training

Author:Chaoyi Zhang  Jeehun Kim  Hongyu Li  Peizhou Huang  Ruiying Liu  Dong Liang  Xiaoliang Zhang  Xiaojuan Li  Leslie Ying  

Institution:Program of Advanced Musculoskeletal Imaging (PAMI)  Shenzhen Institutes of Advanced Technology  University at Buffalo, SUNY  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Tuesday, 11 August 2020  

Topic:System Imperfections, Artifacts, and More  

Session Name:Machine Learning: Artifact Correction, Quantification & Reconstruction  

Program Number:0679  

Room Live Q&A Session:Tuesday Parallel 3  

Joint Parallel Imaging reconstruction with Deep Learning for Multi-Contrast Synthetic MRI

Author:Jae-Hun Lee  Kanghyun Ryu  Sung-Min Gho  Ho-Sung Kim  Mohammed Al-masni  Dong-Hyun Kim  

Institution:Asan Medical Center  GE Healthcare  Yonsei University  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Tuesday, 11 August 2020  

Topic:System Imperfections, Artifacts, and More  

Session Name:Machine Learning: Artifact Correction, Quantification & Reconstruction  

Program Number:0678  

Room Live Q&A Session:Tuesday Parallel 3  

Local Perturbation Responses: A tool for understanding the characteristics of advanced nonlinear MR reconstruction algorithms

Author:Chin-Cheng Chan  Justin Haldar  

Institution:University of Southern California  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Tuesday, 11 August 2020  

Topic:System Imperfections, Artifacts, and More  

Session Name:Machine Learning: Artifact Correction, Quantification & Reconstruction  

Program Number:0684  

Room Live Q&A Session:Tuesday Parallel 3  

Unsupervised Image Reconstruction using Deep Generative Adversarial Networks

Author:Elizabeth Cole  Frank Ong  John Pauly  Shreyas Vasanawala  

Institution:Stanford University  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Tuesday, 11 August 2020  

Topic:System Imperfections, Artifacts, and More  

Session Name:Machine Learning: Artifact Correction, Quantification & Reconstruction  

Program Number:0685  

Room Live Q&A Session:Tuesday Parallel 3  

Visualizing and utilizing latent features of MR vessel wall images using weakly supervised deep learning analysis workflow

Author:Li Chen  Wenjin Liu  Gador Canton  Niranjan Balu  Thomas Hatsukami  John Waterton  Jenq-Neng Hwang  Chun Yuan  

Institution:The University of Manchester  University of Washington  

Session Type:Oral - Power Pitch  

Session Live Q&A Date:Tuesday, 11 August 2020  

Topic:System Imperfections, Artifacts, and More  

Session Name:Machine Learning: Artifact Correction, Quantification & Reconstruction  

Program Number:0682  

Room Live Q&A Session:Tuesday Parallel 3