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Construction Of Probabilistic Diffusion Tensor Image Brain Atlas And White Matter Fibers Atlas For Normal Chinese Adults

Posted on:2013-12-16Degree:MasterType:Thesis
Country:ChinaCandidate:Y L ChenFull Text:PDF
GTID:2234330395450355Subject:Medical informatics
Abstract/Summary:PDF Full Text Request
ObjectiveTo construct a voxel-based probabilistic DTI brain atlas in a standard space using medical image processing techniques with a view of providing basic information for the white matter function research and the diagnosis and treatment of related diseases.MethodsDTI data from50normal volunteers were acquired after excluding the existence of neurological diseases. First, the DICOM data were converted into the needed data format using one of the procedures in MRlcron software package. Next, use DtiStudio, DiffeoMap and AIR software to pre-process, tensor calculation and normalize the images. And then, do average calculation in MATLAB software platform and construct the atlas.ResultsSuccessfully developed an average DTI brain atlas for the50healthy adults and the maps were very clear. The white matter and fiber orientation can be seen clearly in FA image and also in the Color Map that using specific colors representing different fiber orientations.ConclusionsImaging processing techniques can be used to construct Chinese DTI probabilistic brain atlas. The maps are saved using a common data format and can be read by most medical image processing software and analysis software, and then could be used for the research and analysis of white matter function and related diseases conveniently. ObjectiveTo construct a unilateral corticospinal tract map uses diffusion tensor imaging and diffusion tensor tractography technique and also the medical image processing techniques. Observe the spatial distribution of the corticospinal tract and attempt to provide a morphological basis for the functional anatomy of the corticospinal tract.MethodsDTI data from20normal volunteers were acquired after excluding the existence of neurological diseases. After the data preprocessing, do the tensor calculation and fiber tracking in DtiStudio software. Dual ROI method combines the basic anatomical knowledge was used to reconstruct the corticospinal tract. When the20corticospinal tracts were normalized to the standard space, calculate the averaged corticospinal tract map. Overlap the map to the FA template that we have constructed in the first part. Observe the distribution of the fiber and calculates the probability distribution of the corticospinal tracts in the standard space.ResultsSuccessfully construct the human corticospinal tract map using the medical imaging processing techniques. The corticospinal tract’s modality is in accordance with the classic anatomical description. The probability distribution map can better show the white matter fibers’distribution.ConclusionsThe combination of DTI, DTT and medical imaging processing techniques can construct the clear white matter fibers map and also the probability map, which provides a relatively simple and rapid method for us to study the morphology and function of the white matter.
Keywords/Search Tags:atlas, DTI, human, brain, white matter, digital anatomyCST, DTT
PDF Full Text Request
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