Study Of Liver Three-dimensional Reconstruction Based On Abdominal Tomograms

The 3D reconstruction of medical image is the main area in medical dada 3D visualization, and is a important research branch in science data visualization too. The 3D reconstruction of medical image is to display the medical information in 3D style to provide more comprehensive medical information directly, and has more practical value in clinical diagnosis, treatment and basic medical study. In this thesis, the author has studied the theories of medical image 3D reconstruction and the technologies of liver 3D reconstruction based on abdomen CT images serials, and designed a soft ware for 3D liver reconstruction in the Delphi platform by transfer OpenGL API.Firstly, the author analyzed the theories of science data 3D visualization. Sequentially, the author discussed the technologies of medical image 3D visualization according to the clinical applications. With the development of computer, 3D visualization and computer graphics, the 3D visualization of medical images has progressed from Fourier transform and convolve inverse projection to MPR(Multi-Planar Reformation, MPR) and MTP(maximum intensity projection, MTP), nowadays, the real 3D reconstruction method , surface and volume rendering has risen. The image registering, image segmentation, pixel data set construction and 3D special interpolation are the key technologies in medical images 3D reconstruction.Based on the studying of those theories for medical image 3D reconstruction, the author designed a practical soft ware for 3D liver reconstruction based on the characters of abdomen CT images serials in Delphi environment by transfer OpenGL API. The proposed software comprised CT image pre-processing and 3D liver reconstruction. The function of pre-processing include algibra registering of CT image serials, interactive segmentation of liver and cancer region from pre-processed CT image, de-noise by medieam-filtering. The main function of liver 3D reconstruction is to sample data of normal liver, cancer and bacground from pre-processed CT image. Also, this soft ware can achieve spatial interpolation, construction pixel data set. The 3D liver reconstruction is based on volume rendering algorithm, and the interactive operation of rotation and incision on reconstructed liver can be accomplished with the proposed software very. It has been proved that this soft ware can achieve the full process of 3D reconstruction based on CT images serials, and object has obvious 3D effect and can be operated interactively.