Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning

PURPOSE: To develop a deep neural network-based computational workflow for inline myocardial perfusion analysis that automatically delineates the myocardium, which improves the clinical workflow and offers a "one-click" solution. MATERIALS AND METHODS: test performed for statistical significance. The trained models were integrated onto MR scanners for effective inference. A central processing unit-based model inference on the MR scanner took less than 1 second for a typical perfusion scan of three slices. CONCLUSION: © RSNA, 2020.