A Deep Learning Algorithm for Non-Cartesian Coil Sensitivity Map Estimation

Author:Zihao Chen  Yuhua Chen  Debiao Li  Anthony Christodoulou  

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

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4783  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 65  

A Deep Learning Accelerated MRI Reconstruction Model's Dependence on Training Data Distribution

A divide-and-conquer strategy to overcome memory limitations of current GPUs for high resolution MRI reconstruction via a domain transform deep learning method

Author:Chengzhu Zhang  Dalton Griner  Yinsheng Li  Yijing Wu  Guang-hong Chen  

Institution:University of Wisconsin-Madison  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4788  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 70  

A New Deep Learning Structure for Improving Image Quality of a Low-field Portable MRI System

Author:WENCHUAN MU  Liang Zheng  Danial C. Alexander  Jia Gong  Wenwei Yu  Shao Ying Huang  

Institution:Chiba University  Singapore University of Technology and Design  UCL  National University of Singapore  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4789  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 71  

AUTOMAP Image Reconstruction of Ultra-Low Field Human Brain MR Data

Author:Neha Koonjoo  Bo Zhu  Matthew Christensen  John Kirsch  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:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4780  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 62  

Automating fetal brain reconstruction using distance regression learning

Author:Lucilio Cordero-Grande  Anthony Price  Emer Hughes  Robert Wright  Mary Rutherford  Joseph Hajnal  

Institution:King's College London  King's College London  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4779  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 61  

Convolutional Neural Network for Real-Time High Spatial Resolution Functional Magnetic Resonance Imaging

Author:Cagan Alkan  Zhongnan Fang  Jin Hyung Lee  

Institution:LVIS Corporation  Stanford University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4792  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 74  

Crowdsourced Quality Metrics for Image Reconstruction using Machine Learned Ranking

Author:Kevin Johnson  Laura Eisenmenger  Patrick Turski  Leonardo Rivera-Rivera  

Institution:University of California - San Francisco  University of Wisconsin - Madison  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4770  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 52  

DCTV-Net: Model based Convolutional Neural Network for dynamic MRI

Deep Learning Super-FOV for Accelerated bSSFP Banding Reduction

Author:Nicholas McKibben  Michael Mendoza  Edward DiBella  Neal Bangerter  

Institution:Brigham Young University  Imperial College London  University of Utah  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4791  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 73  

Deep transform networks for scalable learning of MR reconstruction

Exploring the Hallucination Risk of Deep Generative Models in MR Image Recovery

Author:Vineet Edupuganti  Morteza Mardani  Joseph Cheng  Shreyas Vasanawala  John Pauly  

Institution:Stanford University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4773  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 55  

Fidelity Imposing Network Edit (FINE) for Solving Ill-Posed Image Reconstruction

Author:Jinwei Zhang  Zhe Liu  Shun Zhang  Pascal Spincemaille  Thanh Nguyen  Mert Sabuncu  Yi Wang  

Institution:Cornell University  Weill Medical College of Cornell University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4776  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 58  

Magnetic Resonance Fingerprinting Using a Residual Convolutional Neural Network

Author:Pingfan Song  Yonina Eldar  Gal Mazor  Migue Rodrigues  

Institution:Technion, Israel Institute of Technology  University College London  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4782  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 64  

POCS Augmented CycleGAN for MR Image Reconstruction

Author:Hanlu Yang  Yiran Li  Danfeng Xie  Wang Ze  

Institution:Temple University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4786  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 68  

Probabilistic Optimization of Cartesian k-Space Undersampling Patterns for Learning-Based  Reconstruction

Author:Valery Vishnevskiy  Jonas Walheim  Sebastian Kozerke  

Institution:Institute for Biomedical Engineering, University and ETH Zurich  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4777  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 59  

Real-time MR image reconstruction using Convolutional Neural Networks

Author:Bryson Dietz  Gino Fallone  Keith Wachowicz  

Institution:Cross Cancer Institute  University of Alberta  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4784  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 66  

SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for efficient and robust MR image reconstruction

Author:Fang Liu  Lihua Chen  Richard Kijowski  Li Feng  

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:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4769  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 51  

ShiftNets: Deep Convolutional Neural Networks for MR Image Reconstruction & the Importance of Receptive Field of View

Author:Philip Lee  Makai Mann  Brian Hargreaves  

Institution:Stanford University  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4785  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 67  

Simultaneous Multi-Slice Deep RecOnstruction NEtwork (SMS-DRONE)

Author:Ouri Cohen  

Institution:Memorial Sloan Kettering Cancer Center  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4790  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 72  

Spatio-Temporal Undersampling Artefact Reduction with Neural Networks for Fast 2D Cine MRI with Limited Data

Synthetic Banding for bSSFP Data Augmentation

Author:Michael Mendoza  Nicholas McKibben  Grayson Tarbox  Neal Bangerter  

Institution:Brigham Young University  Imperial College London  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4781  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 63  

Virtual Imaging Using Generative Adversarial Networks for Image Translation (VIGANIT): Deep Learning based Prediction of Diffusion-Weighted Images from T2-Weighted Brain MR Images

Author:Vidur Mahajan  Aravind Upadhyaya  Vasantha Kumar Venugopal  Abhishek Venkataram  Mukundhan Srinivasan  Murali Murugavel  Harsh Mahajan  

Institution:Mahajan Imaging  Nvidia  Triocula technologies  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Machine Learning for Image Reconstruction: Optimised  

Program Number:4771  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 53