Research And Implementation Of Three-dimensional Medical Image Reconstruction System

3D medical image reconstruction is a processing which translates the two-dimensional medical image slices into three-dimensional model with computer visualization technology, and displayed on the screen, it could provide the interactive interface to the user. There are three parts in a3D medical image reconstruction system: they are loading, pre-processing and three-dimensional reconstruction.There are very much formats of image from medicine, but only the image of CT, MRI and ultrasound suit reconstruct. And people defined a uniform standard for modern medical images:DICOM (Digital Imaging and Communication of Medicine, DICOM) to standardize how to obtain, storage, and transmission and display medical images on various devices.Medical image pre-processing technique involves image enhancement and segmentation. There are mainly three image enhancement methods:histogram equalization, noise reduction, sharpening. Traditional medical image segmentation methods are the followings:threshold-based segmentation method, edge-based segmentation methods, region-based segmentation method. Researchers now popular use new ideas in medical image pre-processing, so that much image segmentation methods such based on neural networks, ant colony algorithm and wavelet analysis are to the image pre-processing.There are two mainly categories on3D medical image reconstruction technique, one surface rendering, and the other is volume rendering. The Surface rendering include: marching cubes algorithm, Dividing Cubes algorithm. Volume Rendering Algorithm includes such ray tracing,3D mapping. Now there are some tools package can implement the two types of rendering algorithm that allows people to only focus on the medical details without needing to spend a lot of time on the reconstruction algorithm.3D medical image reconstruction system is a compact system, the sources of images data determine the choice of the preprocessing algorithm of medical images, and the medical image pre-processing results determines the segmentation threshold selected, and the result of segmentation determines the reconstruction effect, so every part of medical image reconstruction system is important part. There are my works in this paper as following: 1. There is researched how to load, storage, and transfer medical image with standard of DICOM, compared the advantages and disadvantages of a variety of medical image preprocessing algorithms from lots of experiments. And improve the effect of medical image filtering method.2. There are researched deeply about the marching cube algorithm in the paper, and analyzed the advantages and disadvantages of that. And create a better marching cube algorithm name marching cubes algorithm base on multiple-degrees.3. We build a3D medical image reconstruction system which based on OpenGL...