3D Reconstruction Based On Medical CT Image Sequences

3D reconstruction from medical images is a multi-disciplinary subject, which relates to the subjects of digital image processing, computer graphics and some related knowledge of medical. Meanwhile, it is widely used in diagnostic, surgery planning and simulating, plastic and artificial limb surgery, radiotherapy planning, and teaching in anatomy. Study on 3D reconstruction from medical images has important significance on science and worthiness in practical application.The problems which 3D reconstruction faces are the enormous data to process and the complexity of the medical images, so it is very crucial to optimize the 3D reconstruction algorithms, to improve the accuracy of the medical image segmentation and to accelerate the processing speed. The thesis involves the research in 3D reconstruction based on CT images.In this thesis, the pre-process algorithms about CT images are first introduced on the basis of the characteristic of CT images. Then the theory of 3D reconstruction based on voxel is described. To the mass data and too slow rate in Ray Casting algorithms, the thesis introduces the algorithms based on segmentation. Via the threshold value algorithms, the data which used in Ray Casting has been lessened greatly.By the use of Visual C++ programming platform and knowledge about Computer Graphics and Image Processing, the system achieved the display and pre-processing of 2D CT image data, and fetched 3D image data from a series of 2D images and completed the classification of 3D image data; And then it accomplished the painting and rendering of 3D image data; At last, there is the part of user interface design, for example rotation zoom in/out transfer and so on. Possible extension and new directions of the research is also given in the thesis.