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Abstract #3522

Automated Segmentation for Myocardial Tissue Phase Mapping Images using Deep Learning

Daming Shen1,2, Ashitha Pathrose2, Justin J Baraboo1,2, Daniel Z Gordon2, Michael J Cuttica3, James C Carr1,2,3, Michael Markl1,2, and Daniel Kim1,2
1Biomedical Engineering, Northwestern University, Evanston, IL, United States, 2Radiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States, 3Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States

Tissue phase mapping (TPM) provides regional biventricular myocardial velocities, while the slow manual segmentation process limits it use in clinic. The purpose of this study was to develop a fully automated segmentation method for TPM images with deep learning and explore the optimal method to use the magnitude and phase information.

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