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Automatic quantification of epicardial adipose tissue volume
Author(s) -
Li Xiaogang,
Sun Yu,
Xu Lisheng,
Greenwald Stephen E.,
Zhang Libo,
Zhang Rongrong,
You Hongrui,
Yang Benqiang
Publication year - 2021
Publication title -
medical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.473
H-Index - 180
eISSN - 2473-4209
pISSN - 0094-2405
DOI - 10.1002/mp.15012
Subject(s) - pericardium , hounsfield scale , medicine , segmentation , adipose tissue , epicardial fat , nuclear medicine , radiology , artificial intelligence , computed tomography , cardiology , computer science
Epicardial fat is the adipose tissue between the serosal pericardial wall layer and the visceral layer. It is distributed mainly around the atrioventricular groove, atrial septum, ventricular septum and coronary arteries. Studies have shown that the density, thickness, volume and other characteristics of epicardial adipose tissue (EAT) are independently correlated with a variety of cardiovascular diseases. Given this association, the accurate determination of EAT volume is an essential aim of future research. Therefore, the purpose of this study was to establish a framework for fully automatic EAT segmentation and quantification in coronary computed tomography angiography (CCTA) scans.