Research On 3D Surface Reconstruction Algorithms For Medical Images

Scientific computation visualization is a very important research direction in computer graphics, and is used in various fields now. People use visualization technology to construct the 3D model of some tissues and organs, and use it in clinical examination. 3D reconstruction is the core of scientific computation visualization. Research is done on 3D surface reconstruction of medical images and a 3D visualization system based on the project named on 3D Probability Model Assisted Prostate Tumor Biopsy Navigation System is implemented.3D surface reconstruction can be based on contours and voxels. 3D surface reconstruction algorithms based on contours can construct 3D surface between series prostate contours. Firstly, edge detection and extraction should be done on series prostate images, and then, contours interpolation and triangles plotting must be implemented on series contours to construct the 3D surface model of prostate that can be used in the prostate tumor biopsy.Marching Cubes is a classical 3D surface reconstruction algorithm based on voxels which can extract the 3D surface model from 3D medical data. However, this algorithm search lots of blank voxels and generate too many triangles, so it is time consumption. A new algorithm for overcoming the deficiencies is presented. As the experimental result proving, the new algorithm presented accelerates the reconstruction.To display a 3D model on a 2D screen, a series of transform should be done. OpenGL is a widely used graphics interface lib that can render 3D scene efficiently. The 3D surface model rendered by OpenGL has high reality and manipulation that can play an important role in clinical diagnosis.