Motion Analysis of the Right Ventricle From MRI Images
MICCAI '98 Proceedings of the First International Conference on Medical Image Computing and Computer-Assisted Intervention
Estimating mechanical properties of the heart using dynamic modeling and magnetic resonance imaging
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 06
Localization of abnormal conduction pathways for tachyarrhythmia treatment using tagged MRI
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Estimation of cardiac electrical propagation from medical image sequence
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part II
LV shape and motion: B-spline-based deformable model and sequential motion decomposition
IEEE Transactions on Information Technology in Biomedicine
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The inverse approach from MR images to electrical propagation is very novel, but difficult due to complicated processes from electrical excitation to heart contraction. A novel strategy is presented to recover cardiac electrical excitation pattern from medical image sequences and ECG data. We used MRI images to estimate the current density and visualize it on the surface of the heart model. The ECG data also be used to achieve the time synchronization when the propagation of the current density. Experiments are conducted on a set of real time MRI images, also with the real ECG data, and we get favorable results.