| This thesis mainly does the research about3D reconstruction technology of the medical image. Medical image reconstruction incarnate application of computer graphics and digital image processing technology in biomedical engineering, and it is an interdisciplinary research project, a hot research currently. Medical image reconstruction technology plays important roles in medical diagnosis, operation planning, simulation, orthopedic and prosthetic surgery, anatomical aspects of teaching etc. Therefore, research about the three-dimensional reconstruction technology of medical image has important academic significance and practical application value.In the United States, Germany and other developed countries, scientific computing visualization and application tests have been very active, in the technical level the research direction has turned to a real-time tracking and interactive control from the post-processing. The commercialization of medical image3D processing in foreign countries is also beginning to turn up, but the domestic three-dimensional reconstruction and visualization is still in its infancy.The prospect of international and domestic technology, learning and research by referring to a lot of information, this research is about three-dimensional reconstruction and visualization of medical image correlation algorithm, the areas division and improvement MC optimization algorithm for CT images three-dimensional reconstruction process. Combination of threshold and region growing segmentation, get the segmentation results as reconstruction input of CT image data. The three-dimensional reconstruction used the improving of the MC algorithm to complete three-dimensional surface rendering of head CT images, and software debugging results are displayed.It introduced acquisition method of medical image data, a detailed analysis of the DICOM standard communication protocol and the DICOM file format, to prepare for subsequent read CT image data. Then studied methods of the medical image segmentation, especially the segmentation and extraction of various tissues or organs, respectively studied two categories--the edge segmentation and region segmentation method, and studied commonly used partition algorithm of the two types of segmentation method.Studied the surface rendering, volume rendering method in the three-dimensional reconstruction and visualization, evaluated the performance of them by the analysis of the two kinds of rendering features, then introduced hybrid rendering methods, make contrast the characteristics of the three methods.Studied the classic MC(Marching cubes) algorithm basic principle and the realization method, proposed this topic--improved reconstruction based on segmentation and MC. First, select the improved region growing algorithm for CT image segmentation, split the output data as input of three-dimensional reconstruction. Analysis the faults and problems in the MC algorithm, with the problem of the contour surface connected to the two justice, as well as the equivalent of the discontinuous problem, put forward to improve the algorithm. Finally, elaborated principle and realization method on the subject of the isosurface vertex coordinates and normal vector calculation, and analysis of the improved algorithm.The software subject expound the process, based on the study and analysis the MITK class library, then in the vc++6.0environment, realized the surface rendering algorithm of CT3D reconstruction and visualization for medical image, gave out this topic--improved algorithm based on segmentation and MC reconstruction. Realization display, the successful implementation of the algorithm, and the result is satisfactory. |
