Journal article
Automated localization and quality control of the aorta in cine CMR can significantly accelerate processing of the UK Biobank population data
- Abstract:
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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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(pdf, 2.4MB)
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- Publisher copy:
- 10.1371/journal.pone.0212272
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Funding
Bibliographic Details
- 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:
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1932-6203
Item Description
- Pubs id:
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pubs:969433
- UUID:
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uuid:4ecc493c-0f7e-475d-80e8-f25398ca6e13
- Local pid:
- pubs:969433
- Deposit date:
- 2019-02-08
Terms of use
- Copyright holder:
- Biasiolli et al
- Copyright date:
- 2019
- Notes:
- Copyright © 2019 Biasiolli et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
- Licence:
- CC Attribution (CC BY)
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