A Generative Adversarial Network with a Progressively Growing Training Strategy for MRI Dataset Augmentation

Author:Vahid Ghodrati  Haotian An  Zihao Xiong  Jiaxin Shao  Mark Bydder  Peng Hu  

Institution:Tsinghua University  Tsinghua University  University of California Los Angeles  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4718  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 175  

A Validation Approach for Imperfect Training Data Fidelity using Signal + Artifact + Noise-based Neural Net (SAN3)-derived Directionalized Streaking Removal

Author:Nanyque Boyd  Yudai Suzuki  Amit Patel  Jacob Goes  Marcella Vaicik  Satoru Hayamizu  Satoshi Tamura  Keigo Kawaji  

Institution:Gifu University  Illinois Institute of Technology  The University of Chicago  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4696  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 153  

Accelerated MR image reconstruction using iterative feasible set projection

Author:Doohee Lee  Jaeyeon Yoon  Jingyu Ko  Jingu Lee  Yoonho Nam  Jongho Lee  

Institution:Seoul National University  Seoul St. Mary’s Hospital  AIRS medical  The Catholic University of Korea  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4709  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 166  

Accelerating high resolution DWI via deep learning

Author:Da Zou  Ruibo Song  Dong Han  Feng Huang  

Institution:Neusoft Medical Systems  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4717  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 174  

Complex-Valued Convolutional Neural Networks for MRI Reconstruction

Author:Elizabeth Cole  John Pauly  Shreyas Vasanawala  Joseph Cheng  

Institution:Stanford University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4714  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 171  

Conditional generative adversarial network for three-dimensional rigid-body motion correction in MRI

Author:Patricia Johnson  Maria Drangova  

Institution:Western University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4698  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 155  

Contrast Transfer Learning for Reconstruction of Undersampled Dynamic Contrast-Enhanced MRI

Author:Li Feng  Fang Liu  Lihua Chen  Ricardo Otazo  

Institution:Memorial Sloan Kettering Cancer Center  Southwest Hospital  University of Wisconsin-Madison  PLA 101st Hospital  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4706  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 163  

Convolutional Neural Networks with Aliasing Layers for Correcting Parallel Imaging and EPI Ghost Artifacts

Author:Hidenori Takeshima  

Institution:Canon Medical Systems Corporation  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4695  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 152  

Deep Learning Based Adaptive Noise Reduction in Multi-Contrast MR Images

Author:Kensuke Shinoda  Kenzo Isogawa  Masahito Nambu  Yuichi Yamashita  Mika Kitajima  Hiroyuki Uetani  Yasuyuki Yamashita  

Institution:Canon Medical Systems Corporation  Kumamoto University  Toshiba Corporation  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4701  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 158  

Deep Partial Fourier Reconstruction

Author:Alexander Toews  Marcus Alley  Shreyas Vasanawala  Brian Hargreaves  Joseph Cheng  

Institution:Stanford University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4702  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 159  

Development of a deep learning method for phase unwrapping MR images

Diffusion-weighted MR Image Reconstruction using Automated Transform by Manifold Approximation (AUTOMAP) on Human Brains

Author:Neha Koonjoo  Bo Zhu  Matthew Christensen  John Kirsch  Bragi Sveinsson  Matthew Rosen  

Institution:A.A Martinos Biomedical Imaging Center / MGH  Harvard Medical School  Harvard Medical School  Harvard University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4700  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 157  

Edge-enhanced Loss Constraint for Deep Learning Based Dynamic MR Imaging

Author:Shanshan Wang  Ziwen Ke  Huitao Cheng  Leslie Ying  Xin Liu  Hairong Zheng  Dong Liang  

Institution:Shenzhen Institutes of Advanced Technology  The State University of New York  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4712  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 169  

Enforcing Structural Similarity in Deep Learning MR Image Reconstruction

Author:Kamlesh Pawar  Zhaolin Chen  N Shah  Gary Egan  

Institution:Monash University  Research Centre Juelich  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4711  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 168  

EPI artifacts reduction using deep learning

Author:Christophe Schülke  Karsten Sommer  Peter Börnert  

Institution:Philips Research  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4694  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 151  

Exploration on deep-learning based sorting of k-space data for ECG-free cardiac cine-MRI

Author:Seb Harrevelt  Tim Leiner  J.P.W. Pluim  A.J.E. Raaijmakers  

Institution:TU Eindhoven  UMC Utrecht  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4713  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 170  

g-factor attention model for deep neural network powered parallel imaging: gANN

Author:Jaeyeon Yoon  Doohee Lee  Jingyu Ko  Jingu Lee  Yoonho Nam  Jongho Lee  

Institution:Seoul National University  Seoul St. Mary’s Hospital  AIRS medical  The Catholic University of Korea  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4716  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 173  

Improved TWIST Imaging using k-Space Deep Learning

Author:Eunju Cha  Eung Yeop Kim  Jong Chul Ye  

Institution:Gachon University Gil Medical Center  KAIST  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4705  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 162  

Multi-supervised Learning in Cross-domain Networks for Cardiac Imaging

Rapid Image Reconstruction of Single-Shot Coronary Quiescent-Interval Slice-Selective (QISS) MRA and Late Gadolinium-Enhanced MRI using Deep Learning

Author:Daming Shen  Hassan Haji-Valizadeh  Daniel Kim  

Institution:Northwestern University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4710  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 167  

Ultrafast 3D Partial Fourier Reconstruction with Well-Preserved Phase using DNN

Author:Guangliang Ju  Aiqi Sun  Mingliang Chen  Yu Wang  Dong Han  Feng Huang  

Institution:Neusoft Medical Systems  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4708  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 165  

Ultra-low-dose Amyloid PET/MRI Reconstruction by Generative Adversarial Network

Author:Jiahong Ouyang  Kevin Chen  Enhao Gong  John Pauly  Greg Zaharchuk  

Institution:Carnegie Mellon University  Stanford University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4704  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 161  

Volumetric real-time imaging with deep-learning reconstruction

Author:Jiahao Lin  Fadil Ali  Kyunghyun Sung  

Institution:University of California, Los Angeles  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:09:15  

Session Name:Machine Learning for Image Reconstruction: Breakthroughs  

Program Number:4699  

Presentation Time:09:15   

Room Number:Exhibition Hall  

Computer Number:Computer 156