The Research Of Neural Fibers Reconstruction And Software Design Based On Diffusion Tensor Imaging

Diffusion tensor imaging is a new type of magnetic resonance imaging technology developed on the basis of diffusion weighted imaging,the neural fiber tracking technique based on this modality is the only method to reconstruct the neural structure of the white matter in vivo.The precise and rapid reconstruction of the human brain’s neural structure can provide not only the reliable data for targeted treatment techniques such as brain diseases,surgical navigation and so on,but also a viable approach to bring human into the mysterious brain,explore brain function and the mechanism of brain nerve conduction.The key problem to be solved in this paper is to estimate the diffusion tensor matrix accurately,and to extract the information contained in the tensor matrix to complete the reconstruction of the neural structure of the brain.This paper is mainly to study the processing of diffusion tensor data,the research on the algorithm for tracking neural fiber and the software design based on diffusion tensor imaging.The specific work is as follows:1)The diffusion tensor data is limited by the magnetic resonance hardware and the human body and it is unavoidable to introduce noise pollution in its collection process,affecting the clinical diagnosis and follow-up of nerve fiber reconstruction work.In order to solve this problem,an adaptive Gaussian filtering algorithm based on diffusion characteristics is proposed in this paper.An isotropic or anisotropic Gaussian filtering method is selected according to the characteristics of tissue voxel diffusion,which improves the accuracy of image data.Having set up the noise processing experiment and compared the method with the traditional Gaussian filtering method,we proved the validity and feasibility of the proposed method.2)As nerve fiber reconstruction algorithms are unable to solve the problem of cross fiber bifurcation,a flow line tracking algorithm based on spatial structure is proposed in this paper,which is mainly for cross branched fiber spherical and plane of diffusion model,and implemented the brain nerve fiber reconstruction through the analysis of a model for the center around the neighborhood information diffusion estimation of the tracking point in the direction.The real experimental results show that compared with traditional methods,the proposed method can effectively solve the problem that the bifurcation cross fiber in the brain white matter can not be identified,and get the more complete and precise nerve fibers outline.3)Although the clinical need on the brain fiber structure research is more and more urgent,most of the software for DTI image processing can only achieve the analysis and simulation but be difficult to apply to clinical medicine.Based on the theoretical study of diffusion tensor imaging,this paper designs and develops the DTI reconstruction software on neural fiber.This software adopted the object-oriented design idea of C++ and used QT to design human-computer interaction GUI interface,which realizes the complete reconstruction of brain nerve fiber structure and 3D visualization display function and provides a guiding significance for the diagnosis and treatment of human brain disease in the clinical application.