Reconstruction Head/Brain Real Model From Mri Image

The brain is the most important part of the nerve system. The purpose of the investigation of brain is to discover the principle of the human brain. It's important for us to use all kinds of information resource.The main aspects of the thesis are as below:(1) Image De-noising: Given some commonly used filter results and the comparisons of them, and choose the wiener filter algorithm. Wiener method is based on statistics estimated from a local neighborhood of each pixel.(2) Acquisition of Head and Brain Volumetric Data and Development Real Head and Brain Reconstruction and Visualization Algorithms: By using threshold technique and morphological operations such as dilate and erosion, head segmented data were obtained. To obtain the brain segmented data, construct an initial template, design and developed a naval algorithm to make the initial template dynamic change with image slice to get the brain data; Designed a framework for searching, sampling and storing contour data.(3) Uniformed contours stacked together and constructed real Boundary Element Method (BEM) calculation models for E/MEG research respectively by minimum distance method and 3D-Delaunary based triangulation growth method. Finally developed visualization algorithm based on surface rendering for the purpose of integration of structure and function information.(4) Using scan line algorithm and improved Delaunay algorithm to generate triangulation meshes. Mesh generation of 2D area is the first step of finite element calculation. The validity of the triangulation guarantees the correctness of the result of the finite element calculation.