Automatic Coronary Wall and Atherosclerotic Plaque Segmentation from 3D Coronary CT Angiography.

ABSTRACT: Coronary plaque burden measured by coronary computerized tomography angiography (CCTA), independent of stenosis, is a significant independent predictor of coronary heart disease (CHD) events and mortality. Hence, it is essential to develop comprehensive CCTA plaque quantification beyond existing subjective plaque volume or stenosis scoring methods. The purpose of this study is to develop a framework for automated 3D segmentation of CCTA vessel wall and quantification of atherosclerotic plaque, independent of the amount of stenosis, along with overcoming challenges caused by poor contrast, motion artifacts, severe stenosis, and degradation of image quality. Vesselness, region growing, and two sequential level sets are employed for segmenting the inner and outer wall to prevent artifact-defe

SUBMITTER: Ghanem AM 

PROVIDER: S-EPMC6328572 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature