Cardiac Motion Estimation Using a ProActive Deformable Model: Evaluation and Sensitivity Analysis

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.

• Type: Journal
• Year: 2010
• Where: MICCAI
• Authors: Ken C. L. Wong, Florence Billet, Tommaso Mansi, Radomir Chabiniok, Maxime Sermesant, Hervé Delingette, Nicholas Ayache
• Keywords: Cardiac Motion, Cardiac Motion Recovery, Medical Imaging, MICCAI 2010, Sensitivity Analysis