Automated Quality-Controlled Cardiovascular Magnetic Resonance Pericardial Fat Quantification Using a Convolutional Neural Network in the UK Biobank

Automated Quality-Controlled Cardiovascular Magnetic Resonance Pericardial Fat Quantification Using a Convolutional Neural Network in the UK Biobank

Background: Pericardial adipose tissue (PAT) may represent a novel risk marker for cardiovascular disease. However, absence of rapid radiation-free PAT quantification methods has precluded its examination in large cohorts.Objectives: We developed a fully automated quality-controlled tool for cardiov...

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Bibliographic Details
Main Authors: Andrew Bard, Zahra Raisi-Estabragh, Maddalena Ardissino, Aaron Mark Lee, Francesca Pugliese, Damini Dey, Sandip Sarkar, Patricia B. Munroe, Stefan Neubauer, Nicholas C. Harvey, Steffen E. Petersen
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
cardiovascular magnetic resonance
pericardial fat
epicardial fat
obesity
automated image analysis
neural network
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2021.677574/full

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https://www.frontiersin.org/articles/10.3389/fcvm.2021.677574/full

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