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Communication Dans Un Congrès Année : 2019

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

Résumé

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.
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Dates et versions

hal-02186804 , version 1 (17-07-2019)

Identifiants

  • HAL Id : hal-02186804 , version 1

Citer

Radomir Chabiniok, Gautier Bureau, Alexandra Groth, Jaroslav Tintera, Jürgen Weese, et al.. Cardiac displacement tracking with data assimilation combining a biomechanical model and an automatic contour detection. FIMH 2019 - Proceedings of Functional Imaging and Modeling of Heart, Jun 2019, Bordeaux, France. pp.405-414. ⟨hal-02186804⟩
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