TY - GEN
T1 - Cardiac motion estimation using a ProActive deformable model
T2 - 1st International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2010 and Cardiac Electrophysiological Simulation Challenge, CESC 2010 - Held in Conjunction with MICCAI 2010
AU - Wong, Ken C.L.
AU - Billet, Florence
AU - Mansi, Tommaso
AU - Chabiniok, Radomir
AU - Sermesant, Maxime
AU - Delingette, Hervé
AU - Ayache, Nicholas
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-642-15835-3_16
DO - 10.1007/978-3-642-15835-3_16
M3 - Conference contribution
AN - SCOPUS:78049404448
SN - 364215834X
SN - 9783642158346
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 154
EP - 163
BT - Statistical Atlases and Computational Models of the Heart - First Int. Workshop, STACOM 2010 and Cardiac Electrophysiological Simulation Challenge, CESC 2010 - Held in Conj. with MICCAI 2010, Proc.
Y2 - 20 September 2010 through 20 September 2010
ER -