Artificial Neural Network for Suppression of Metal Artifacts with Slice Encoding for Metal Artifact Correction (SEMAC) MRI

Author:Sunghun Seo  Ki Hwan Kim  Seung Hong Choi  Sung-Hong Park  

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

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3385  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 72  

Assessment of the generalization of learned image reconstruction and the potential for transfer learning

Author:Florian Knoll  Kerstin Hammernik  Thomas Pock  Daniel Sodickson  Michael Recht  

Author Institution:Graz University of Technology  New York University School of Medicine  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3376  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 63  

Characterization of Sparsely Trained Deep Learning Reconstruction of Noisy MR Fingerprinting Data

Author:Ouri Cohen  Bo Zhu  Matthew Rosen  

Author Institution:MGH Athinoula A. Martinos Center/Harvard Medical School  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3377  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 64  

Combining MR-Physics and Machine Learning to Address Intractable Reconstruction Problems

Compressed Sensing MRI Reconstruction using Generative Adversarial Networks with Cyclic Loss.

Author:Tran Minh Quan  Thanh Nguyen-Duc  Won-Ki Jeong  

Author Institution:Ulsan National Institute of Science and Technology (UNIST)  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3370  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 57  

Constrained Image Reconstruction Using a Kernel+Sparse Model

Author:Yudu Li  Zhi-Pei Liang  

Author Institution:University of Illinois at Urbana-Champaign  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3379  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 66  

Densely Connected Iterative Network for Sparse MRI Reconstruction

Author:Itzik Malkiel  Sangtae Ahn  Zac Slavens  Valentina Taviani  Christopher Hardy  

Author Institution:GE Global Research  GE Healthcare  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3363  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 50  

DL-POCS: Deep Learning Augmented POCS Reconstruction for Vastly Undersampled MR Data

Author:Fang Liu  Julia Velikina  Richard Kijowski  Alexey Samsonov  

Author Institution:University of Wisconsin-Madison  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3372  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 59  

Fast and Realistic Super-Resolution in Brain Magnetic Resonance Imaging using 3D Deep Generative Adversarial Networks

Author:Yuhua Chen  Feng Shi  Yibin Xie  Zhengwei Zhou  Anthony Christodoulou  Debiao Li  

Author Institution:Cedars-Sinai Medical Center  UCLA  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3365  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 52  

High efficient reconstruction of overlapping-echo detachment (OLED) planar imaging based on deep residual network

Author:Congbo Cai  Chao Wang  Xinghao Ding  Shuhui Cai  Zhong Chen  Jianhui Zhong  

Author Institution:University of Rochester  Xiamen University  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3381  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 68  

Highly-Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering

Author:Joseph Cheng  Feiyu Chen  Marcus Alley  John Pauly  Shreyas Vasanawala  

Author Institution:Stanford University  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3369  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 56  

Image Reconstruction of Accelerated Dynamic MRI using Spatiotemporal Dictionaries with Global Sparsity Regularization

Author:Valery Vishnevskiy  Sebastian Kozerke  

Author Institution:ETH Zurich  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3367  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 54  

k-space Aware Convolutional Sparse Coding: Learning from Undersampled k-space Datasets for Reconstruction

Author:Frank Ong  Michael Lustig  

Author Institution:University of California, Berkeley  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3378  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 65  

A Learning-based Metal Artifacts Correction Method using Dual-Polarity Readout Gradients

Author:Kinam Kwon  Jaejin Cho  Seohee So  Byungjai Kim  Namho Jeong  HyunWook Park  

Author Institution:KAIST  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3371  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 58  

A Machine Learning Approach for Mitigating Artifacts in Fetal Imaging due to an Undersampled HASTE Sequence

MR Image Generation with Deep Learning Incorporating Anatomical Prior Knowledge

Author:Ki Hwan Kim  Won-Joon Do  Sung-Hong Park  

Author Institution:Korea Advanced Institute of Science & Technology (KAIST)  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3366  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 53  

MultiNet PyGRAPPA: A Novel Method for Highly Accelerated Metabolite Mapping

Author:Sahar Nassirpour  Paul Chang  Anke Henning  

Author Institution:Max Planck Institute for Biological Cybernetics  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3375  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 62  

Optimal Regularization Parameter Selection for Constrained Reconstruction Using Deep Learning

Author:Xi Peng  Fan Lam  Yudu Li  Bryan Clifford  Brad Sutton  Zhi-Pei Liang  

Author Institution:University of Illinois at Urbana-Champaign  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3382  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 69  

Parallel Imaging and Convolutional Neural Network Combined Fast Image Reconstruction for Low Latency Accelerated 2D Real-Time Imaging

Author:Ziwu Zhou  Fei Han  Vahid Ghodrati  Yu Gao  Yingli Yang  Peng Hu  

Author Institution:University of California, Los Angeles  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3373  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 60  

Parallel Imaging Reconstruction with a Conditional Generative Adversarial Network

Author:Pengyue Zhang  Fusheng Wang  Yu Li  

Author Institution:St.Francis Hospital  Stony Brook University  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3368  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 55  

Quantification of relaxation times in MR Fingerprinting using deep learning

Author:Zhenghan Fang  Yong Chen  Weili Lin  Dinggang Shen  

Author Institution:University of North Carolina at Chapel Hill  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3380  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 67  

Reconstruction of synthetic T1 MPRAGE via Deep Neural Network from Multi Echo Gradient Echo images.

Author:Kanghyun Ryu  Yoonho Nam  Na-young Shin  Jinhee Jang  Jiyong Park  Dong-Hyun Kim  

Author Institution:Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea  Yonsei University  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3364  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 51  

A Recurrent Inference Machine for accelerated MRI reconstruction at 7T

Author:Kai Lønning  Patrick Putzky  Max Welling  Matthan Caan  

Author Institution:Academic Medical Center  University of Amsterdam  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3362  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 49  

Single Point Dixon Reconstruction of Whole-Body Scans Using a Convolutional Neural Network

Author:Jonathan Andersson  Håkan Ahlström  Joel Kullberg  

Author Institution:Uppsala University  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:13:45  

Session:Machine Learning for Image Reconstruction  

Program Number:3384  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 71