1. Assessment of Cardiac Allograft Vasculopathy from OCT Images: Automated Analysis is as Good as Expert-Guided Approach

    Assessment of Cardiac Allograft Vasculopathy from OCT Images: Automated Analysis is as Good as Expert-Guided Approach

    Purpose Cardiac Allograft Vasculopathy (CAV) is a frequent complication after heart transplantation (HTx). To help identify patients at risk of CAV, 3D quantitative analysis of coronary wall thickening is of major importance. Until now, substantial manual tracing effort was required. We report a fully automated approach using optical coherence tomography (OCT) imaging. Methods Lumen surface, intimal and medial layers were identified using our LOGISMOS segmentation framework. Coronary wall regions with layered appearance were automatically identified in each OCT frame using deep learning. These segmentation and classification approaches were newly combined in one fully automated system. The comparison between fully automated ...

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