CT-based True- and False-Lumen Segmentation in Type B Aortic Dissection Using Machine Learning.
Journal:
Radiology. Cardiothoracic imaging
Published Date:
Jun 25, 2020
Abstract
PURPOSE: To develop a segmentation pipeline for segmentation of aortic dissection CT angiograms into true and false lumina on multiplanar reformations (MPRs) perpendicular to the aortic centerline and derive quantitative morphologic features, specifically aortic diameter and true- or false-lumen cross-sectional area.
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