| Research on digitized virtual human is a multi-disciplinary subject. Based on anatomy and physical and physiological-biochemistry character, digitized virtual human generally build a interactive human -like digitized model. This dissertation researches the application of digitized virtual human in acupuncture point and is a important branch of VHP(Virtual Human Project).In Chapter One, a survey is given on the model reconstruction from medical images, includes the origin and pre-processing of medical image, segmenting, general key techniques of 3D medical reconstruction, simplifying of meshes of the models. Then explain the background of the theory of Chinese medicine acupuncture.Chapter Two explores the pre-processing and segmenting of medical images. As the medical images are interfered by noises more or less, it is needed to restrain noises by filtering and smoothing. By changing the format of raw images and filtering or interpolating, the serial medical images are taken into a unite body data format file that is easy to manage and save. Segmenting and extracting tissues or organs from medical images are premises of 3D reconstruction models accurately. The methods of segmenting and extracting in this paper are described as follows: using threshold to segment the tissues; math-morphological methods to correct the region of tissues; using seed filling means to extracting the tissues or organs.In Chapter Three, MC(marching cubes) algorithm that is one of surface reconstruction methods is discussed, MC algorithm is a classical algorithm to extract iso-surface from regular volume data. MC algorithm in this paper has been implemented to extract iso-surface. The ambiguity in this algorithm is detected and eliminated. To improve the slow speed in reconstruction, a method to deal with the relativities is developed. Because 3D surface model contains huge number of triangles, a mesh simplification algorithm based on triangle edges shrinkages is presented in this paper to speed up the rendering in real time.In Chapter Four, the cutting of reconstructed 3D models is explored. In order to observe expediently the size and interspaces structure of inner tissues and avoid the discommodiousness of surface reconstruction, a simple cutting methods based on ray-casting algorithm is presented to get the inner images information. Combining the texture rendering of OpenGL with the display of cutting surface of 3D models, it is easy to observe the inner tissues or organs images information.In Chapter Five , we had studied the interactive visualization of acupuncture point of reconstructed 3D models. A interactive point orientation methods from the select operation of OpenGL is presented in this dissertation. With above iso-surface reconstruction and the cutting of reconstructed 3D models, it is convenient to observed the inner tissues or organs images information around some point, and at the same time a basic work is given to the farther virtual acupuncture human.In Chapter Six, four parts are described, they are pre-processing; 3D surface model reconstruction, cutting of 3D model and interactive visualization of acupuncture point. |