A Study Of Motion Image Analysis And Motion Mechanism Of Living Cardiac Myocyte

Study of mechanism of medicine actions, by quantitative analysis of isolated cardiac myocyte, in myocyte dynamics and molecule biology, is one of the cutting edge researches. Cardiac myocyte research plays an important role in understanding the fundamental properties of human cardiovascular system, exploring the mechanism of cardiac disease, and studying the behaviors, effects, side effects and poison of medicine. The characteristics of cardiac myocyte auto-beating without foreign stimulation make the research sense. Research of the morphology and motion of cardiac myocyte 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.The aim of this paper is at developing theories and approaches for analysis of living cardiac myocyte motion images and implementing quantitative analysis of cardiac myocyte features. The studies been done include mainly cardiac myocyte morphology detecting, motion vector, motion amplitude and frequency measuring, and motion mechanism modeling. A system of hardware and software has been built with complete sets of functions includeing living cardiac myocyte image acquisition, image processing, motion image analysis, and image recognition.In living cardiac myocyte image, the difference of the intensities between objects and background is small. It is difficult to segment the myocytes from the background using methods of intensity based thresholding or intensity gradientbased edge detection. Active contour or snake algorithm in terms of energy function was proposed to approximate the boundary of an object with a moving snake under the criterion of energy minimization. Basic active contour algorithm has the disadvantages of inability in concave point solving and low capability in anti-noise. In this paper, three developments of active contour algorithm are proposed: An adaptive external constraint force is applied to drive the snake, which has zero image energy, i.e. lives in the areas of smooth image, and zero internal energy, to move towards the object boundary and the concave points. Mean differential filter and Gauss-Laplace differential filter are employed to calculate image energies so that the effects of high frequency random noises can be reduced, the accuracy of boundary detection can be increased, and the anti-noise ability of the snake can be improved. A new criterion is proposed for stopping the snake moving to gain better boundary detection and faster computation. Experiments done show that the new algorithms developed are better enough for living cardiac myocyte boundary detection.The action of a cardiac myocyte is elastic deformation, but not shifting movement. In many cases, the status of the action is not evident on the boundary and difficult to be recognized from the image intensity using edge detection. Observing the actions of living cardiac myocytes, it is found that the whole cell is not shifting, but some particular points are moving, and that the motion status can be studied through the analysis of the particular points' movements. In this paper, ,a new block image matching method is developed for motion vector detection of the particular points and amplitude and frequency detection of a cardiac myocyte. In the method, schemes of multi three-step search, adaptive vote-point selection, and optimal frame selection are proposed to increase the matching accuracy and computation speed as high as possible. The experiments using the method show that the results of the detection are much better than those using traditional methods.Because of the multi-value of characteristic points, the result searched using block matching method may not the global optimal solution. This leads toinaccurate matching and becomes a disadvantage. In order to solve this problem, a genetic algorithm is developed in this thesis for motion vector detection. Considering the properties of the motion of a cardiac myocyte, a gene selection method comb...