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. © 2010 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Wong, K. C. L., Billet, F., Mansi, T., Chabiniok, R., Sermesant, M., Delingette, H., & Ayache, N. (2010). Cardiac motion estimation using a ProActive deformable model: Evaluation and sensitivity analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6364 LNCS, pp. 154–163). https://doi.org/10.1007/978-3-642-15835-3_16
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