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Cartilage T2 Mapping of the Knee Using Fast Spin-Echo Multi-Band Acceleration

Author:Robert Moskwa  Fang Liu  Graeme McKinnon  Rob Peters  Richard Kijowski  

Institution:Ge Healthcare  GE Healthcare  University of Wisconsin  

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:08:15  

Session Name:Cartilage 1  

Program Number:1316  

Presentation Time:08:15   

Room Number:Exhibition Hall  

Computer Number:Computer 58  

Comparison of Single-Component and Multi-Component T2 Parameters and Mechanical Parameters of Human Patellar Cartilage at 3.0T

Author:Matthew Grondin  Fang Liu  Michael Vignos  Jiang Du  Corrinne Henak  Richard Kijowski  

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

Session Type:Digital Poster  

Session Date:Monday, 13 May 2019  

Session Time:08:15  

Session Name:Cartilage 1  

Program Number:1329  

Presentation Time:08:15   

Room Number:Exhibition Hall  

Computer Number:Computer 71  

Machine Learning: Clinical Perspective

Author:Richard Kijowski  

Institution:University of Wisconsin Hospital  

Session Type:Sunrise Session  

Session Date:Monday, 13 May 2019  

Session Time:07:00  

Session Name:Advanced MSK MRI Acquisition & Post-Processing: Machine Learning  

Program Number:

Presentation Time:07:30   

Room Number:Room 516C-E  

Computer Number:

MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for accelerated MR parameter mapping

Author:Fang Liu  Li Feng  Richard Kijowski  

Institution:Memorial Sloan Kettering Cancer Center  University of Wisconsin-Madison  

Session Type:Oral  

Session Date:Monday, 13 May 2019  

Session Time:16:00  

Session Name:Quantitative Parameter Mapping  

Program Number:0307  

Presentation Time:16:00   

Room Number:Room 520A-F  

Computer Number:

Relax-MANTIS: REference-free LAtent map-eXtracting MANTIS for efficient MR parametric mapping with unsupervised deep learning

Author:Wei Zha  Sean Fain  Richard Kijowski  Fang Liu  

Institution:University of Wisconsin-Madison  

Session Type:Oral  

Session Date:Thursday, 16 May 2019  

Session Time:08:15  

Session Name:Deep Learning: Acquisition, Uncertainty & Prediction  

Program Number:1098  

Presentation Time:09:51   

Room Number:Room 520A-F  

Computer Number:

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