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Longitudinal Analysis Using Personalised 3D Cardiac Models with Population-Based Priors: Application to Paediatric Cardiomyopathies

Mollero, R; Delingette, H; Datar, M; Heimann, T; Hauser, JA; Panesar, D; Jones, A; ... Sermesant, M; + view all (2017) Longitudinal Analysis Using Personalised 3D Cardiac Models with Population-Based Priors: Application to Paediatric Cardiomyopathies. In: Descoteaux, M and Maier-Hein, L and Franz, A and Jannin, P and Collins, D L, (eds.) Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017. (pp. pp. 350-358). Springer: Cham, Switzerland. Green open access

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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. In this paper we present a method to perform consistent estimations of electromechanical parameters with prior probabilities on the estimated values, which we apply on a large database of 84 different heartbeats. We show that the use of priors reduces considerably the variance in the estimated parameters, enabling better conditioning of the parameters for further analysis of the cardiac function. This is demonstrated by the application to longitudinal data of paediatric cardiomyopathies, where the estimated parameters provide additional information on the pathology and its evolution.

Type: Proceedings paper
Title: Longitudinal Analysis Using Personalised 3D Cardiac Models with Population-Based Priors: Application to Paediatric Cardiomyopathies
Event: 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II
ISBN-13: 9783319661841
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-319-66185-8_40
Publisher version: https://doi.org/10.1007/978-3-319-66185-8_40
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Childrens Cardiovascular Disease
URI: https://discovery.ucl.ac.uk/id/eprint/10092540
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