Dissertation
Dissertation > Medicine, health > Basic Medical > Medical science in general > Biomedical Engineering

Magnetic resonance diffusion tensor imaging data processing and clinical applications research

Author LiChunXiao
Tutor ChenHuaFu
School University of Electronic Science and Technology
Course Biomedical Engineering
Keywords Diffusion tensor imaging Region of interest Voxel-based analysis
CLC R318
Type Master's thesis
Year 2007
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Magnetic resonance diffusion tensor imaging (diffusion tensor imaging, DTI) technology, is currently the only method of measurement the space diffusion movement of water molecules and imaging in living organisms, can fully reflect the diffusion of water molecules in vivo to understand the human body organs and tissues with age changes in the characteristics of lesions caused by tissue compression, displacement, deformation and failure to provide more information for the diagnosis and differential diagnosis of lesions and provide the basis for the surgical program development, postoperative follow-up. , This emerging technology is being neuroscience, cognitive science, and clinical diagnosis unprecedented great concern. Diffusion tensor imaging can provide many parameter values ??processing, most of the researchers, the method is often used to manually drawn ROIs (region-of-interest, ROI). However, the ROI drawn the inevitable subjectivity, the method of drawing the uncertainty and difficult to achieve repeatability determine the risk of drawing ROI method itself. Therefore, in order to make up for the defects of the ROI, research scholars voxel-based analysis (voxel-based analysis, VBA) method to detect unanticipated neuroanatomy area. In the study on the basis of the foreign counterparts, the actual situation of the Department with the cooperation of the hospital, an optimized voxel-based analysis of the data processing method, the method can make better use of diffusion tensor data space information. And ROI method, new methods of data analysis does not require a priori information, and other data-driven approach is different: the specific characteristics of the method of the data does not have too many demands, and overcome the presence of a process flow of the conventional VBA method complex, clinicians and difficult to grasp shortcomings. At the same time, the combination of clinical problems, found that abnormal brain regions in female patients with schizophrenia, patients with refractory partial epilepsy, brain damage area, and for the first time to study the male refractory depression patients and normal control brain abnormalities region. The application VBA methods of clinical research, not only took some of the research results, but also confirms the effectiveness and ease of use of the method in clinical research. In summary, this method of data processing for the diffusion tensor imaging data processing is a very promising application value method.

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