| Diffusion Tensor Imaging (DTI) which as one of the major breakthrough of the research on Magnetic Resonance Imaging (MRI) is the unique noninvasive in vivo imaging technology to generate fiber-tract trajectories within the white matter of human brain. Through the showing of water molecules in brain white matter area, DTI is used to research the fiber direction of the brain nerve and its three dimensions configuration.This thesis bases on the MRI data set has accomplish the research on the processing and rending method of DTI data set and white matter fiber tracking algorithm, the main work and achievement can be concluded as following:Firstly, on the basis of fully understanding of the DTI principle, this thesis has studied the method of visualization of DTI data set, including Color coding, Glyphing, White matter tractography and Volume Rending. The key work of this part is the rending of DTI data set of different region and size with different glyphs, and then the advantages and disadvantages of these glyphs are concluded. Also, the conclusions have been confirmed by experimental results of the real DTI data set.Secondly, this thesis has researched deeply the white matter fiber tracking algorithm. Based on reviewing the advantages of the algorithms introduced by predecessors, the issue that those algorithms can't solve the problem of the crossing and branching of white matter fibers is analysed, yet Fast Marching Method (FMM) can solve the problem. But FMM gets a lot of false pathway, so this thesis has proposed an improved FMM for FT, which defines different speed function according to the different evolving between the voxels, so the improved FMM has the reliable theory foundation.Finally, we proposed the tri-linear interpolation algorithm for fiber tracking (FT). And we have achieved the white matter fibers simulation with VTK (Visual Toolkit), the result is coincide with the real fibers by and large. The work can be the theoretical basis of future research. |
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