Multifidelity-CMA: a multifidelity approach for efficient personalisation of 3D cardiac electromechanical models

Autor: Alan Garny, Nicholas Ayache, Hervé Delingette, Maxime Sermesant, Xavier Pennec, Roch Molléro

Publikováno v: Biomechanics and Modeling in Mechanobiology
Biomechanics and Modeling in Mechanobiology, Springer Verlag, 2017, pp.1-16. ⟨10.1007/s10237-017-0960-0⟩
Biomechanics and Modeling in Mechanobiology, 2017, pp.1-16. ⟨10.1007/s10237-017-0960-0⟩

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 l

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d1ebf9358affba341973865090468f8
https://hal.inria.fr/hal-01656008/file/BMMB_Paper___Multifidelity_CMA___Camera_Ready.pdf

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

Autor: Dilveer Panesar, Xavier Pennec, Jakob A. Hauser, Andrew M. Taylor, Marcus Kelm, Alexander Jones, Nicholas Ayache, Manasi Datar, Gabriele Rinelli, Titus Kuehne, Maxime Sermesant, Marcello Chinali, Hervé Delingette, Roch Molléro, Tobias Heimann

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319661841
MICCAI (2)
Medical Image Computing and Computer Assisted Intervention (MICCAI)
Medical Image Computing and Computer Assisted Intervention (MICCAI), Sep 2017, Québec City, Canada. pp.350-358, ⟨10.1007/978-3-319-66185-8_40⟩

International audience; 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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edce049183b8d9a2c826e3586b635fc7
https://doi.org/10.1007/978-3-319-66185-8_40

Estimation of Purkinje Activation from ECG: an Intermittent Left Bundle Branch Block Study

Autor: Nicholas Ayache, Reza Razavi, Jessica Webb, Jack Lee, Roch Molléro, Hervé Delingette, Maxime Sermesant, Sophie Giffard-Roisin, Lauren Fovargue

Publikováno v: 7th International Statistical Atlases and Computational Modeling of the Heart (STACOM) Workshop, Held in Conjunction with MICCAI 2016
7th International Statistical Atlases and Computational Modeling of the Heart (STACOM) Workshop, Held in Conjunction with MICCAI 2016, Oct 2016, Athens, Greece
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges ISBN: 9783319527178

In press; International audience; Modelling the cardiac electrophysiology (EP) can help understand pathologies and predict the response to therapies such as cardiac resynchronization. To this end, estimating patient-specific model parameters is cruci

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1e161818d5be0b0d6a7f6bf36dd1d2b
https://inria.hal.science/hal-01372924

Population-based priors in cardiac model personalisation for consistent parameter estimation in heterogeneous databases

Autor: Nicholas Ayache, Roch Molléro, Hervé Delingette, Maxime Sermesant, Xavier Pennec

Publikováno v: International Journal for Numerical Methods in Biomedical Engineering. 35:e3158

Personalised cardiac models are a virtual representation of the patient heart, with parameter values for which the simulation fits the available clinical measurements. Models usually have a large number of parameters while the available data for a gi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::64598bae879cc07fa1073ee7f76fec51
https://doi.org/10.1002/cnm.3158