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- Title
Main Paths of Brain Fibers in Diffusion Images Mixed with a Noise to Improve Performance of Tractography Algorithm-Evaluation in Phantom.
- Authors
Shirazinodeh, Alireza; Faraji, Hadis; Javidi, Sam Sharifzadeh; Jafari, Amir Homayoun; Nazemzadeh, Mohammadreza; Rad, Hamidreza Saligheh
- Abstract
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.
- Subjects
DISTRIBUTION (Probability theory); DIFFUSION magnetic resonance imaging; GAUSSIAN distribution
- Publication
Journal of Biomedical Physics & Engineering, 2024, Vol 14, Issue 4, p357
- ISSN
2251-7200
- Publication type
Article
- DOI
10.31661/jbpe.v0i0.2108-1387