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Journal article

Data-driven shape parameterization for segmentation of the right ventricle from 3D+t echocardiography

Abstract:

Model-based segmentation facilitates the accurate measurement of geometric properties of anatomy from ultrasound images. Regularization of the model surface is typically necessary due to the presence of noisy and incomplete boundaries. When simple regularizers are insufficient, linear basis shape models have been shown to be effective. However, for problems such as right ventricle (RV) segmentation from 3D+t echocardiography, where dense consistent landmarks a...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.media.2014.12.002

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
St Hilda's College
Role:
Author
ORCID:
0000-0002-3060-3772
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Grant:
EP/G030693/1
Publisher:
Elsevier Publisher's website
Journal:
Medical Image Analysis Journal website
Volume:
21
Issue:
1
Pages:
29-39
Publication date:
2014-12-24
Acceptance date:
2014-12-13
DOI:
EISSN:
1361-8423
ISSN:
1361-8415
Pmid:
25577559
Source identifiers:
504756
Language:
English
Keywords:
Pubs id:
pubs:504756
UUID:
uuid:74a3d05d-df11-49ba-b132-5f84a8a008e2
Local pid:
pubs:504756
Deposit date:
2018-03-14

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