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
Affiliations:
INRIA, Sophia Antipolis, France;INRIA, Sophia Antipolis, France;INRIA, Sophia Antipolis, France;INRIA, Le Chesnay, France;INRIA, Sophia Antipolis, France and King's College London, St Thomas Hospital, Division of Imaging Sciences, London, UK;INRIA, Sophia Antipolis, France;INRIA, Sophia Antipolis, France
Venue:
STACOM'10/CESC'10 Proceedings of the First international conference on Statistical atlases and computational models of the heart, and international conference on Cardiac electrophysiological simulation challenge
Year:
2010

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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 proactive 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.