Numerical recipes in C: the art of scientific computing
Numerical recipes in C: the art of scientific computing
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Imaging of 3d cardiac electrical activity: a model-based recovery framework
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
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
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Because of the intrinsic physiological coupling between the motion and the electrical activity of human heart and available higher resolution imaging sequences, we believe that image-derived cardiac kinematic measurement should be able to reflect patient-specific propagation of cardiac transmembrane potential (TMP). Therefore, in this paper we developed a model-based filter framework, which can recover cardiac electrical activity from MR image sequences. In this particular implementation, the cardiac electro-mechanical coupling process will be properly modelled over a meshfree particle representation of cardiac volume and its fiber structure, and then a model-based unscented Kalman filter (UKF) will be created to incorporate an electro-mechanical coupling model into the state space equation to estimate cardiac electrical activity from MR image sequences. At the end, we not only investigate the performance of our algorithm through two synthetic motion data sets, which are generated by healthy and diseased propagation patterns in an authentical cardiac geometry respectively, but also show the potential usage of our algorithm in clinical diagnosis through a test of one clinical MR image sequence.