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Published in:
2010 | OriginalPaper | Chapter
Cardiac Motion Estimation Using a ProActive Deformable Model: Evaluation and Sensitivity Analysis
Authors : Ken C. L. Wong, Florence Billet, Tommaso Mansi, Radomir Chabiniok, Maxime Sermesant, Hervé Delingette, Nicholas Ayache
Published in: Statistical Atlases and Computational Models of the Heart
Publisher: Springer Berlin Heidelberg
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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.