MR Protocol Optimization With Deep Learning: A Proof of Concept

Volume: 50, Issue: 2, Pages: 168 - 174
Published: Mar 1, 2021
Abstract
This study was performed to demonstrate that a properly trained convolutional neural net (CNN) can provide an acceptable surrogate for human readers when performing a protocol optimization study. Tears of the anterior cruciate ligament (ACL) were used as a proof of concept for this study. Following institutional review board approval, a curated set of 2007 paired knee MR images was extracted from the author’s picture archival and communications...
Paper Details
Title
MR Protocol Optimization With Deep Learning: A Proof of Concept
Published Date
Mar 1, 2021
Volume
50
Issue
2
Pages
168 - 174
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