Cardiac motion estimation using a proactive deformable model: evaluation and sensitivity analysis

Ken C.L. Wong 1 Florence Billet 2, 1 Tommaso Mansi 1, * Radomir Chabiniok 3 Maxime Sermesant 1, * Hervé Delingette 1, * Nicholas Ayache 1, *
* Auteur correspondant
1 ASCLEPIOS - Analysis and Simulation of Biomedical Images
CRISAM - Inria Sophia Antipolis - Méditerranée
2 BIPOP - Modelling, Simulation, Control and Optimization of Non-Smooth Dynamical Systems
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
3 MACS - Modeling, analysis and control in computational structural dynamics
Inria Paris-Rocquencourt
Abstract : To regularize cardiac motion recovery from medical images, electromechanical models are increasingly popular for providing a priori physiological motion information. Although these models are macroscopic, there are still many parameters to be specified for accurate and robust recovery. In this paper, we provide a sensitivity analysis of a pro-active electromechanical model-based cardiac motion tracking framework by studying the impacts of its model parameters. Our sensitivity analysis differs from other works by evaluating the motion recovery through a synthetic image sequence with known displacement field as well as cine and tagged MRI sequences. This analysis helps to identify which parameters should be estimated from patient-specific data and which ones can have their values set from the literature.
Type de document :
Communication dans un congrès
STACOM - Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function; and CESC'10 -Cardiac Electrophysiological Simulation Challenge, held in Conjunction with MICCAI 2010, Sep 2010, Beijing, China. Springer, 6364, pp.154-163, 2010, Lecture Notes in Computer Science. 〈10.1007/978-3-642-15835-3_16〉
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https://hal.inria.fr/inria-00616152
Contributeur : Project-Team Asclepios <>
Soumis le : vendredi 19 août 2011 - 19:33:27
Dernière modification le : mercredi 30 mai 2018 - 13:56:03

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INRIA | UGA | TDS-MACS | LJK | UNIV-COTEDAZUR

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Ken C.L. Wong, Florence Billet, Tommaso Mansi, Radomir Chabiniok, Maxime Sermesant, et al.. Cardiac motion estimation using a proactive deformable model: evaluation and sensitivity analysis. STACOM - Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function; and CESC'10 -Cardiac Electrophysiological Simulation Challenge, held in Conjunction with MICCAI 2010, Sep 2010, Beijing, China. Springer, 6364, pp.154-163, 2010, Lecture Notes in Computer Science. 〈10.1007/978-3-642-15835-3_16〉. 〈inria-00616152〉

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