Study And Implementation On The Three-Dimensional Visualization Of Medical Image

With the progressive development in the computer technology, the computer graphics, the digital image processing technology as well as the three-dimensional (3D) reconstructed technology, people have attained the two-dimensional(2D) medical image slices of tissues and organs within the human body and measured the 3D graphics(3D volume dataset) using some advanced medical devices such as CT, MRI and B-Ultrasonic. As a primary research directions of scientific visualization, the main research contents of 3D reconstruction from medical images include image pre-processing such as interpolating and filtering, segmenting and extracting tissues and organs of body. For 3D reconstructed image can be viewed interactively on the screen to meet doctor's need of the detailed information about patient's body, the technologies has a great significant in medical diagnosis, therapy planning and telemedicine. Now days, the 3D reconstruction of medical images has become a research hot spot, and is widely applicable to the real-time display of patient inner organ on popular hardware platforms.This paper has analyzed the background and status, studied the comparison of some commonly used methods, introduced the visualization realization method in the 3D reconstruction technology based on slice-images data, especially CT image reconstruction algorithm. The paper discuss the primitive image pretreatment, filter, image intensification, edge examination and the data matrix establishment. In the 2D CT image edge examination aspect, this paper propose one kind of improvement algorithm based on the Sobel algorithm, it influence 3D reconstruction accurate crucial question, and realize the surface render using the triangle piece algorithm, sped up the operating speed. In respect that the properties of PC, a suite of rapid algorithms based on octree has been studied in order to enhance the image display speed and solve data storage question. This paper implement a medical image visualization software based on VTK(The Visualization Toolkit). In the architecture, the visualization is implemented by use of VTK and the interface is integrated by C++. The software package can reconstruct accurately the 3D medicine image, and make interaction operations on the 3D graphics such as translation, rotation and scale, also can measure and cut the 3D graphics to get more information about conditions of the patient for the medical research, diagnoses. The research results may be applied to the mapping of internal structure examination via industrial CT.