Multifidelity-CMA: a multifidelity approach for efficient personalisation of 3D cardiac electromechanical models.
Biomech Model Mechanobiol
; 17(1): 285-300, 2018 02.
Article
en En
| MEDLINE
| ID: mdl-28894984
ABSTRACT
Personalised computational models of the heart are of increasing interest for clinical applications due to their discriminative and predictive abilities. However, the simulation of a single heartbeat with a 3D cardiac electromechanical model can be long and computationally expensive, which makes some practical applications, such as the estimation of model parameters from clinical data (the personalisation), very slow. Here we introduce an original multifidelity approach between a 3D cardiac model and a simplified "0D" version of this model, which enables to get reliable (and extremely fast) approximations of the global behaviour of the 3D model using 0D simulations. We then use this multifidelity approximation to speed-up an efficient parameter estimation algorithm, leading to a fast and computationally efficient personalisation method of the 3D model. In particular, we show results on a cohort of 121 different heart geometries and measurements. Finally, an exploitable code of the 0D model with scripts to perform parameter estimation will be released to the community.
Palabras clave
Texto completo:
1
Bases de datos:
MEDLINE
Asunto principal:
Algoritmos
/
Modelos Cardiovasculares
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Biomech Model Mechanobiol
Asunto de la revista:
ENGENHARIA BIOMEDICA
Año:
2018
Tipo del documento:
Article
País de afiliación:
Francia