We trained and validated a multi-label convolutional neural network for the segmentation of the aorta and pulmonary arteries from 4D flow MRI for rapid flow analysis across multiple vendors and centers. Using 67 whole-heart 4D flow MRI scans, including 29 with cardiac pathologies, across two institutions and vendors, we trained and tested our CNN using 10-fold cross validation. For flow analysis, We calculated net flow, peak velocity, and Qp-Qs. Across all flow metrics, we found that automated segmentations showed moderate to strong agreement with the manual segmentations, while taking a fraction of the time.
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