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Higher Resolution with Improved Image Quality without Increased Scan Time: Is it possible with MRI Deep Learning Reconstruction?

Author:Hung Do  Carly Lockard  Dawn Berkeley  Brian Tymkiw  Nathan Dulude  Scott Tashman  Garry Gold  Erin Kelly  Charles Ho  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Data Acquisition & Image Reconstruction  

Session Name:Machine Learning: Removing Artifacts & Improving Resolution  

Program Number:1776  

Room Session:Concurrent 1  

Institution:Canon Medical Systems USA, Inc.  Stanford University  Steadman Philippon Research Institute  The Steadman Clinic  

A Paradigm shift in MR physics with Deep Learning Reconstruction: higher image quality and spatial resolution in shorter scan time

Author:Mo Kadbi  Dawn Berkeley  Brian Tymkiw  Hung Do  Erin Kelly  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Making MRI More Accessible: Speed, Cost & New Developments  

Session Name:Making MRI More Accessible  

Program Number:3827  

Room Session:Concurrent 3  

Institution:Canon Medical System USA  

Prospective Performance Evaluation of the Deep Learning Reconstruction Method at 1.5T: A Multi-Anatomy and Multi-Reader Study

Author:Hung Do  Mo Kadbi  Dawn Berkeley  Brian Tymkiw  Erin Kelly  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2417  

Room Session:Concurrent 1  

Institution:Canon Medical Systems USA, Inc.