Tractography of the brain fibers from diffusion signals in magnetic resonance imaging needs to be more sensitive to structures of diffusion images to reduce the number of ODF used to predict tracts and avoid determining false-positive cases in pixels whose values may have changed due to noise or other unwanted factors. The local-based methods can be improved tractography results. In this abstract, we designed a mask based on the local structures of the diffusion phantom images in 64 directions. Using this mask we reduced the number of gradients and false-positive predicted results from the outputs of the tractography algorithm.
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