Abstract: The spatio-temporal distribution of Ca2+ concentrations in a cardiac myocyte is helpful to get the parameters for circuit modeling of cardiac mycoyte rhythmic motion.A new method for studying the distribution of Ca2+ concentrations in cardiac myocytes was proposed.The sequence images of a cardiac myocyte sampled by Laser Scanning Confocal Microscopy（LSCM） were processed,3-D reconstructed,segmented,and distance transformed to divide the myocardial cell into shells from the membrane toward inside,and the spatio-temporal distribution of the Ca2+ concentration in the cardiac myocyte was got.3-D medical image processing is convenient to biology research and medical diagnosis,and 3-D distance transform method can also be applied to the analogous biomedical researches.

Key words: Ca²⁺ concentration, 3-D image processing, distance transform, cardiac myocyte

摘要： 心肌细胞中Ca2+浓度的空间和时间分布,对于建立心肌细胞节律运动电路模型提供离子特性参数有很大帮助。提出了一种幼鼠心肌细胞中Ca2+浓度分布分析的新方法。对激光共聚焦显微镜（LSCM）采集的幼鼠心肌细胞序列图像进行图像处理、三维重建、细胞分割、距离变换,从细胞膜向内进行分层剥离,得到心肌细胞中Ca2+浓度的空间和时间分布。该方法极大地方便生物研究和医学诊断,基于三维距离变换研究Ca2+浓度时间空间分布的方法也可运用于类似的生物医学研究。

关键词: Ca²⁺浓度, 三维图像处理, 距离变换, 心肌细胞