Research And Application Of The Medical Image 3D Visualization

In recent years, each medical imaging technology, such as computed tomography (CT), magnetic resonance imaging (MRI), etc., has rapidly expanded. People may obtain the two-dimensional fault image sequence of human body and its internal organs through image formation equipment. Reconstructing the fault image sequence into three-dimensional graphic data in the computer and demonstrating the intuitive three-dimensional model can clearly unfold the three-dimensional structure and shape of the human organs, provide visual tools for simulating the interactive operation, and improve the scientific and accuracy of medical diagnosis and treatment planning.This paper introduces the three-dimensional reconstruction based on surface rendering method. Three-dimensional reconstruction based on surface rendering makes use of the contours of the object surface or isosurface fitting for reconstruction. The method of three-dimensional reconstruction based on surface rendering works in three-dimensional data field, and it involves three important concepts:three-dimensional data field, isosurface and voxel, so this chapter introduced these concepts firstly. Then we gave a brief introduction to the method of three-dimensional reconstruction based on surface rendering, and analyzed the advantages and disadvantages of various methods of surface rendering. Finally, we introduced a classical surface rendering algorithm-MC (Marching Cubes) algorithm in detail, the basic idea of MC algorithm and the flow of the algorithm is described, and we also indicated the ambiguity problem of the algorithm and the method to simplify the reconstructed mesh surface.Three-dimensional reconstruction technology based on the direction volume rendering algorithm are used to generate the two-dimensional image which is use to depict the composition of the corresponding there-dimensional scattered data points. And in order to describe the three-dimensional data correctly by two-dimensional image, not only ray casting algorithm, technology of volume data classification, and technology for Mapping between each cell of 3D volume and its color, equivalent opacity are employed to generate the corresponding image, but also the principles, especially the basic ones and the processes of their implements are introduced in detail. However, the time and space complexity of the original ray casting algorithm are very high, so corresponding accelerated algorithm which is employed to reduce its use of time and space is addressed in detail.This article, based on basic needs of the medical image observation and processing, designed and developed a three-dimensional medical image visualization system. The basis for the development of system is medical image processing toolkit set. The system make a implementation of three-dimensional reconstruction of medical images. It used many surface rendering methods and volume rendering methods to accomplish visualization of the model. The system has three parts:the subsystem of data input and output, data pre-processing subsystem and visualization subsystem. Each part also contains several modules. There are clear divisions of functions between modules and interfaces of modules are consistency. Data processing was made as the center of three-dimensional visualization system, so it was a very efficient on data processing in the system. Visualization subsystem is the most important part of the system. A variety of high-quality visualization methods were implemented, so the system can display three-dimensional model of the flexible operation. This makes doctor could observe a comprehensive model and it has a great role in promoting of improving the quality of diagnosis.