Propagation of myocardial fibre architecture uncertainty on electromechanical model parameter estimation: A case study

Roch Molléro, Dominik Neumann, Marc Michel Rohé, Manasi Datar, Hervé Lombaert, Nicholas Ayache, Dorin Comaniciu, Olivier Ecabert, Marcello Chinali, Gabriele Rinelli, Xavier Pennec, Maxime Sermesant, Tommaso Mansi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Computer models of the heart are of increasing interest for clinical applications due to their discriminative and predictive power. However the personalisation step to go from a generic model to a patientspecific one is still a scientific challenge. In particular it is still difficult to quantify the uncertainty on the estimated parameters and predicted values. In this manuscript we present a new pipeline to evaluate the impact of fibre uncertainty on the personalisation of an electromechanical model of the heart from ECG and medical images. We detail how we estimated the variability of the fibre architecture among a given population and how the uncertainty generated by this variability impacts the following personalisation. We first show the variability of the personalised simulations, with respect to the principal variations of the fibres. Then discussed how the variations in this (small) healthy population of fibres impact the parameters of the personalised simulations.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages448-456
Number of pages9
Volume9126
ISBN (Print)9783319203089, 9783319203089
DOIs
Publication statusPublished - 2015
Event8th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2015 - Maastricht, Netherlands
Duration: Jun 25 2015Jun 27 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9126
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other8th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2015
CountryNetherlands
CityMaastricht
Period6/25/156/27/15

Fingerprint

Parameter estimation
Parameter Estimation
Personalization
Fiber
Propagation
Uncertainty
Fibers
Computer Model
Medical Image
Electrocardiography
Model
Simulation
Quantify
Pipelines
Architecture
Evaluate
Heart

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Molléro, R., Neumann, D., Rohé, M. M., Datar, M., Lombaert, H., Ayache, N., ... Mansi, T. (2015). Propagation of myocardial fibre architecture uncertainty on electromechanical model parameter estimation: A case study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9126, pp. 448-456). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9126). Springer Verlag. https://doi.org/10.1007/978-3-319-20309-6_51

Propagation of myocardial fibre architecture uncertainty on electromechanical model parameter estimation : A case study. / Molléro, Roch; Neumann, Dominik; Rohé, Marc Michel; Datar, Manasi; Lombaert, Hervé; Ayache, Nicholas; Comaniciu, Dorin; Ecabert, Olivier; Chinali, Marcello; Rinelli, Gabriele; Pennec, Xavier; Sermesant, Maxime; Mansi, Tommaso.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9126 Springer Verlag, 2015. p. 448-456 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9126).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Molléro, R, Neumann, D, Rohé, MM, Datar, M, Lombaert, H, Ayache, N, Comaniciu, D, Ecabert, O, Chinali, M, Rinelli, G, Pennec, X, Sermesant, M & Mansi, T 2015, Propagation of myocardial fibre architecture uncertainty on electromechanical model parameter estimation: A case study. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 9126, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9126, Springer Verlag, pp. 448-456, 8th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2015, Maastricht, Netherlands, 6/25/15. https://doi.org/10.1007/978-3-319-20309-6_51
Molléro R, Neumann D, Rohé MM, Datar M, Lombaert H, Ayache N et al. Propagation of myocardial fibre architecture uncertainty on electromechanical model parameter estimation: A case study. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9126. Springer Verlag. 2015. p. 448-456. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-20309-6_51
Molléro, Roch ; Neumann, Dominik ; Rohé, Marc Michel ; Datar, Manasi ; Lombaert, Hervé ; Ayache, Nicholas ; Comaniciu, Dorin ; Ecabert, Olivier ; Chinali, Marcello ; Rinelli, Gabriele ; Pennec, Xavier ; Sermesant, Maxime ; Mansi, Tommaso. / Propagation of myocardial fibre architecture uncertainty on electromechanical model parameter estimation : A case study. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9126 Springer Verlag, 2015. pp. 448-456 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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