Cardiac displacement tracking with data assimilation combining a biomechanical model and an automatic contour detection

Autor: Gautier Bureau, Dominique Chapelle, Jürgen Weese, Jaroslav Tintera, Radomir Chabiniok, Alexandra Groth, Philippe Moireau
Přispěvatelé: Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine (M3DISIM), Laboratoire de mécanique des solides (LMS), École polytechnique (X)-MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), King‘s College London, Philips Research [Germany], Philips Research, Institute for Clinical and Experimental Medicine (IKEM), Zemzemi, Nejib, Ozenne, Valéry, Vigmond, Edward, Coudière, Yves, École polytechnique (X)-Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Mines Paris - PSL (École nationale supérieure des mines de Paris)
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: FIMH 2019-Proceedings of Functional Imaging and Modeling of Heart
FIMH 2019-Proceedings of Functional Imaging and Modeling of Heart, Jun 2019, Bordeaux, France. pp.405-414
Chabiniok, R, Bureau, G, Groth, A, Tintera, J, Weese, J, Chapelle, D & Moireau, P 2019, Cardiac displacement tracking with data assimilation combining a biomechanical model and an automatic contour detection . in N Zemzemi, V Ozenne, E Vigmond & Y Coudière (eds), Functional Imaging and Modeling of the Heart-10th International Conference, FIMH 2019, Proceedings . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11504 LNCS, pp. 405-414, Functional Imaging and Modeling of Heart 2019, Bordeaux, France, 6/06/2019 . https://doi.org/10.1007/978-3-030-21949-9_44
Functional Imaging and Modeling of the Heart ISBN: 9783030219482
FIMH
DOI: 10.1007/978-3-030-21949-9_44
Popis: International audience; Data assimilation in computational models represents an essential step in building patient-specific simulations. This work aims at circumventing one major bottleneck in the practical use of data assimilation strategies in cardiac applications, namely, the difficulty of formulating and effectively computing adequate data-fitting term for cardiac imaging such as cine MRI. We here provide a proof-of-concept study of data assimilation based on automatic contour detection. The tissue motion simulated by the data assimilation framework is then assessed with displacements extracted from tagged MRI in six subjects, and the results illustrate the performance of the proposed method, including for circumferential displacements, which are not well extracted from cine MRI alone.
Databáze: OpenAIRE