图像处理方法用于离体培养乳鼠心肌细胞动态特征分析  

Image Processing Applying in Analysis of Motion Features of Cultured Cardiac Myocyte in Rat

作　　者：滕奇志[1] 罗代升[1] 何小海[1] 袁支润[2] 王正荣[3] 周倍伊[3] 陶大昌[3] 

机构地区：[1]四川大学电子信息学院,成都610064 [2]四川大学生物力学研究所,成都610065 [3]四川大学基础医学与法医学院,成都610061

出　　处：《生物医学工程学杂志》2007年第1期5-8,共4页Journal of Biomedical Engineering

基　　金：国家自然科学基金资助项目(30470491)

摘　　要：通过对离体培养的心肌细胞特征参数的定量分析,从细胞力学和分子生物学的角度研究药物的作用机理,是目前生物医学工程学科的前沿性课题。心肌细胞在不受外力作用的情况下具有自主搏动特性,使得对于它的动态分析更有意义。介绍了用于心肌细胞动态特征分析的图像采集处理系统,以及运用图像分析算法能够获得的各种动态特征参数,包括搏动频率、搏动周期、收缩幅度、形态面积变化等。Study of mechanism of medicine actions, by quantitative analysis of cultured cardiac myocyte, is one of the cutting edge researches in myocyte dynamics and molecular biology. The characteristics of cardiac myocyte auto-beatlng without external stimulation make the research sense. Research of the morphology and cardiac myocyte motion using image analysis can reveal the fundamental mechanism of medical actions, increase the accuracy of medicine filtering, and design the optimal formula of medicine for best medical treatments. A system of hardware and software has been built with complete sets of functions including living cardiac myocyte image acquisition, image processing, motion image analysis, and image recognition. In this paper, theories and approaches are introduced for analysis of living cardiac myocyte motion images and implementing quantitative analysis of cardiac myocyte features. A motion estimation algorithm is used for motion vector detection of particular points and amplitude and frequency detection of a cardiac myocyte, Beatings of cardiac myocytes are sometimes very small. In such case, it is difficult to detect the motion vectors from the particular points in a time sequence of images. For this reason, an image correlation theory is employed to detect the beating frequencies. Active contour algorithm in terms of energy function is proposed to approximate the boundary and detect the changes of edge of myocyte.

关 键 词：心肌细胞 图像处理 动态特征 

分 类 号：R318[医药卫生—生物医学工程]