Estimation of Cardiac Electrical Propagation from Medical Image Sequence
A novel strategy is presented to recover cardiac electrical excitation pattern from tomographic medical image sequences. The geometrical/physical representation of the heart and the dense motion field of the myocardium are first derived from imaging data through segmentation and motion recovery. The myocardial active forces are then calculated through the law of force equilibrium from the motion field, realized with a stochastic multiframe algorithm. Since tissue active forces are physiologically driven by electrical excitations, we can readily relate the pattern of active forces to the pattern of electrical propagation in myocardium, where spatial regularization is enforced. Experiments are conducted on three-dimensional synthetic data and canine magnetic resonance image sequence with favorable results.
KeywordsActive Force Tikhonov Regularization Force Equilibrium Move Less Square Essential Boundary Condition
- 2.Prince, J.L., McVeigh, E.R.: Motion estimation form tagged MR image sequences. IEEE Trans. Med. Img., 238–249 (1992)Google Scholar
- 3.Haber, E., Metaxas, D., Axel, L.: Motion analysis of the right ventricle from MRI images. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 177–188. Springer, Heidelberg (1998)Google Scholar
- 6.Sanchez-Ortiz, G., Sermesant, M., Rhode, K., Chandrashekara, R., Razavi, R., Hill, D., Rueckert, D.: Localization of abnormal conduction pathways for tachyarrhythmia treatment using tagged MRI. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3749, pp. 425–433. Springer, Heidelberg (2005)CrossRefGoogle Scholar
- 8.Borisenko, A.I., Tarapov, I.E.: Vector and tensor analysis with applications. Dover Publications, Inc. (1979)Google Scholar