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Longitudinal analysis using personalised 3D cardiac models with population-based priors: application to paediatric cardiomyopathies

Abstract:

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:
Publisher copy:
10.1007/978-3-319-66185-8_40

Authors


Publisher:
Springer
Host title:
Lecture Notes in Computer Science
Journal:
Lecture Notes in Computer Science More from this journal
Volume:
10434 LNCS
Pages:
350-358
Publication date:
2017-09-04
DOI:
EISSN:
1611-3349
ISSN:
0302-9743
ISBN:
9783319661841
Pubs id:
pubs:731120
UUID:
uuid:07a5756d-04ac-418c-a945-84964b347cc1
Local pid:
pubs:731120
Source identifiers:
731120
Deposit date:
2019-06-28

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