Zhang Heye, Wong Chun Lok, Shi Pengcheng
Medical Image Computing Group, Hong Kong University of Science & Technology, Hong Kong, China.
Med Image Comput Comput Assist Interv. 2006;9(Pt 2):528-35. doi: 10.1007/11866763_65.
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.
提出了一种从断层医学图像序列中恢复心脏电兴奋模式的新策略。首先通过分割和运动恢复从成像数据中导出心脏的几何/物理表示和心肌的密集运动场。然后通过力平衡定律从运动场计算心肌作用力，这是用一种随机多帧算法实现的。由于组织作用力在生理上是由电兴奋驱动的，我们可以很容易地将作用力模式与心肌中的电传播模式联系起来，其中实施了空间正则化。在三维合成数据和犬磁共振图像序列上进行了实验，结果良好。
