Conference item
Longitudinal analysis using personalised 3D cardiac models with population-based priors: application to paediatric cardiomyopathies
- Abstract:
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Personalised 3D modelling of the heart is of increasing interest in order to better characterise pathologies and predict evolution. The personalisation consists in estimating the parameter values of an electromechanical model in order to reproduce the observed cardiac motion. However, the number of parameters in these models can be high and their estimation may not be unique. This variability can be an obstacle to further analyse the estimated parameters and for their clinical interpretation....
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
-
-
(Accepted manuscript, pdf, 526.6KB)
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- Publisher copy:
- 10.1007/978-3-319-66185-8_40
Authors
Bibliographic Details
- Publisher:
- Springer Publisher's website
- Host title:
- Lecture Notes in Computer Science
- Journal:
- Lecture Notes in Computer Science Journal website
- Volume:
- 10434 LNCS
- Pages:
- 350-358
- Publication date:
- 2017-09-04
- DOI:
- EISSN:
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1611-3349
- ISSN:
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0302-9743
- ISBN:
- 9783319661841
Item Description
- Pubs id:
-
pubs:731120
- UUID:
-
uuid:07a5756d-04ac-418c-a945-84964b347cc1
- Local pid:
- pubs:731120
- Source identifiers:
-
731120
- Deposit date:
- 2019-06-28
Terms of use
- Copyright holder:
- Springer International Publishing AG
- Copyright date:
- 2017
- Notes:
- © Springer International Publishing AG 2017. This paper was presented at the This is the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2017), Quebec City, QC, Canada, September 11-13 2017. Accepted Manuscript version of the article. The final version is available online from Springer at: https://doi.org/10.1007/978-3-319-66185-8_40
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