main paths of brain fibers in diffusion images mixed with a noise to improve performance of tractography algorithm-evaluation in phantom

Background: some voxels may alter the tractography results due to unintentional alteration of noises and other unwanted factors.objective: this study aimed to investigate the effect of local phase features on tractography results providing data are mixed by a gaussian or random distribution noise.material and methods: in this simulation study, a mask was firstly designed based on the local phase features to decrease false-negative and -positive tractography results. the local phase features are calculated according to the local structures of images, which can be zero-dimensional, meaning just one point (equivalent to noise in tractography algorithm), a line (equivalent to a simple fiber), or an edge (equivalent to structures more complex than a simple fiber). a digital phantom evaluated the feasibility current model with the maximum complexities of configurations in fibers, including crossing fibers. in this paper, the diffusion images were mixed separately by a gaussian or random distribution noise in 2 forms: a zero-mean noise and a noise with a mean of data.results: the local mask eliminates the pixels of unfitted values with the main structures of images, due to noise or other interferer factors. conclusion: the local phase features of diffusion images are an innovative solution to determine principal diffusion directions.