Diffusion-Map: A Novel Visualizing Biomarker for Diffusion Tensor Imaging of Human Brain White Matter

摘要: Rich information about brain tissue microstructure and composition is yielded by MRI-based measurement of the local diffusion tensor (DT) water molecules in neural fibers, whose axons are running myelinated fiber tracts. Diffusion imaging (DTI) possesses high-dimensional complex structure, so that detecting available pattern its analysis based on conventional linear statistics classification methods become inefficient. Classification, segmentation, compression or visualization data could be facilitated through dimension reduction. The previously proposed mostly rely low dimensional manifold embedding space, which not able to deal with high data. purpose this paper propose a new method for meaningful white matter using map six-dimensional three employing Markov random walk distance algorithms, leading distance-preserving DTI lower higher throughput information.