Quantification of Epicardial Adipose Tissue Volume and Attenuation for Cardiac CT Scans Using Deep Learning in a Single Multi-Task Framework

Quantification of Epicardial Adipose Tissue Volume and Attenuation for Cardiac CT Scans Using Deep Learning in a Single Multi-Task Framework

Background: Recent studies have shown that epicardial adipose tissue (EAT) is an independent atrial fibrillation (AF) prognostic marker and has influence on the myocardial function. In computed tomography (CT), EAT volume (EATv) and density (EATd) are parameters that are often used to quantify EAT....

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Bibliographic Details
Main Authors: Musa Abdulkareem, Mark S. Brahier, Fengwei Zou, Elisa Rauseo, Ijeoma Uchegbu, Alexandra Taylor, Athanasios Thomaides, Peter J. Bergquist, Monvadi B. Srichai, Aaron M. Lee, Jose D. Vargas, Steffen E Petersen
Format: Article
Language:English
Published: IMR Press 2022-12-01
Series:Reviews in Cardiovascular Medicine
Subjects:
deep learning
ct
epicardial adipose tissue
eat
volume
attenuation
density
Online Access:https://www.imrpress.com/journal/RCM/23/12/10.31083/j.rcm2312412

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