Learning-Based Quality Control for Cardiac MR Images

Volume: 38, Issue: 5, Pages: 1127 - 1138
Published: May 1, 2019
Abstract
The effectiveness of a cardiovascular magnetic resonance (CMR) scan depends on the ability of the operator to correctly tune the acquisition parameters to the subject being scanned and on the potential occurrence of imaging artifacts, such as cardiac and respiratory motion. In the clinical practice, a quality control step is performed by visual assessment of the acquired images; however, this procedure is strongly operator-dependent, cumbersome,...
Paper Details
Title
Learning-Based Quality Control for Cardiac MR Images
Published Date
May 1, 2019
Volume
38
Issue
5
Pages
1127 - 1138
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