Conference item
Cardiac mesh reconstruction from sparse, heterogeneous contours
- Abstract:
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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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- Files:
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(Accepted manuscript, pdf, 4.9MB)
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- Publisher copy:
- 10.1007/978-3-319-60964-5_15
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Authors
Funding
+ Engineering and Physical Sciences Research Council
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Grant:
RCUK Digital Economy Programme EP/G036861/1
EP/J013250/1
+ European Research Council
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Funding agency for:
Zacur, E
Grant:
Horizon 2020: 655020-DTI4micro-MSCA-IF-EF-ST
+ British Heart Foundation
More from this funder
Grant:
Clinical Research Training Fellowship
New Horizon Grant NH/13/30238
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Bibliographic Details
- 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:
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1865-0929
- Source identifiers:
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709867
- ISBN:
- 9783319609638
Item Description
- Keywords:
- Pubs id:
-
pubs:709867
- UUID:
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uuid:3235c5a9-3822-4884-b938-c35af1158859
- Local pid:
- pubs:709867
- Deposit date:
- 2018-01-30
Terms of use
- Copyright holder:
- Springer International Publishing
- Copyright date:
- 2017
- Notes:
- © Springer International Publishing AG 2017
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