Journal article
Automated left atrial time-resolved segmentation in MRI long-axis cine images using active contours
- Abstract:
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Background Segmentation of the left atrium (LA) is required to evaluate atrial size and function, which are important imaging biomarkers for a wide range of cardiovascular conditions, such as atrial fibrillation, stroke, and diastolic dysfunction. LA segmentations are currently being performed manually, which is time-consuming and observer-dependent. Methods This study presents an automated image processing algorithm for time-resolved LA segmentation in cardiac magnetic resonance imaging (MR...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, 1.6MB)
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- Publisher copy:
- 10.1186/s12880-021-00630-3
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Bibliographic Details
- Publisher:
- BioMed Central Publisher's website
- Journal:
- BMC Medical Imaging Journal website
- Volume:
- 21
- Article number:
- 101
- Publication date:
- 2021-06-19
- Acceptance date:
- 2021-05-10
- DOI:
- EISSN:
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1471-2342
- Pmid:
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34147081
Item Description
- Language:
- English
- Keywords:
- Pubs id:
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1196026
- Local pid:
- pubs:1196026
- Deposit date:
- 2021-09-27
Terms of use
- Copyright holder:
- Gonzales et al.
- Copyright date:
- 2021
- Rights statement:
- Copyright © 2021 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
- Licence:
- CC Attribution (CC BY)
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