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Journal article

Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data

Abstract:

Introduction Aortic distensibility can be calculated using semi-automated methods to segment the aortic lumen on cine CMR (Cardiovascular Magnetic Resonance) images. However, these methods require visual quality control and manual localization of the region of interest (ROI) of ascending (AA) and proximal descending (PDA) aorta, which limit the analysis in large-scale population-based studies. Using 5100 scans from UK Biobank, this study sought to develop and validate a fu...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1371/journal.pone.0212272

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Author
ORCID:
0000-0002-0452-8756
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
RDM
Sub department:
RDM Cardiovascular Medicine
Role:
Author
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Publisher:
Public Library of Science Publisher's website
Journal:
PLoS ONE Journal website
Volume:
14
Issue:
2
Article number:
e0212272
Publication date:
2019-02-14
Acceptance date:
2019-02-05
DOI:
ISSN:
1932-6203
Pubs id:
pubs:969433
UUID:
uuid:4ecc493c-0f7e-475d-80e8-f25398ca6e13
Local pid:
pubs:969433
Deposit date:
2019-02-08

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