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Cardiac mesh reconstruction from sparse, heterogeneous contours

Abstract:

We introduce a tool to reconstruct a geometrical surface mesh from sparse, heterogeneous, non coincidental contours and show its application to cardiac data. In recent years much research has looked at creating personalised 3D anatomical models of the heart. These models usually incorporate a geometrical reconstruction of the anatomy in order to understand better cardiovascular functions as well as predict different processes after a clinical event. The ability to accurately reconstruct heart...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/978-3-319-60964-5_15

Authors


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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
RDM; RDM - Cardiovascular Medicine
Role:
Author
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
St Catherine's College
Role:
Author
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Grant:
RCUK Digital Economy Programme EP/G036861/1
EP/J013250/1
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Funding agency for:
Zacur, E
Grant:
Horizon 2020: 655020-DTI4micro-MSCA-IF-EF-ST
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Grant:
project SysAFib
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Grant:
Clinical Research Training Fellowship
New Horizon Grant NH/13/30238
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Publisher:
Springer Verlag Publisher's website
Journal:
MIUA 2017: Medical Image Understanding and Analysis Journal website
Volume:
CCIS:723
Pages:
169-181
Series:
Communications in Computer and Information Science
Host title:
MIUA 2017: Medical Image Understanding and Analysis
Publication date:
2017-06-22
Acceptance date:
2017-03-31
DOI:
ISSN:
1865-0929
Source identifiers:
709867
ISBN:
9783319609638
Keywords:
Pubs id:
pubs:709867
UUID:
uuid:3235c5a9-3822-4884-b938-c35af1158859
Local pid:
pubs:709867
Deposit date:
2018-01-30

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