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Shirazinodeh, Alireza, Faraji, Hadis, Sharifzadeh Javidi, Sam, Jafari, Amir Homayoun, Nazemzadeh, Mohammadreza, Saligheh Rad, Hamidreza. (1403). Main Paths of Brain Fibers in Diffusion Images Mixed with a Noise to Improve Performance of Tractography Algorithm-Evaluation in Phantom. سامانه مدیریت نشریات علمی, 14(4), 357-364. doi: 10.31661/jbpe.v0i0.2108-1387
Alireza Shirazinodeh; Hadis Faraji; Sam Sharifzadeh Javidi; Amir Homayoun Jafari; Mohammadreza Nazemzadeh; Hamidreza Saligheh Rad. "Main Paths of Brain Fibers in Diffusion Images Mixed with a Noise to Improve Performance of Tractography Algorithm-Evaluation in Phantom". سامانه مدیریت نشریات علمی, 14, 4, 1403, 357-364. doi: 10.31661/jbpe.v0i0.2108-1387
Shirazinodeh, Alireza, Faraji, Hadis, Sharifzadeh Javidi, Sam, Jafari, Amir Homayoun, Nazemzadeh, Mohammadreza, Saligheh Rad, Hamidreza. (1403). 'Main Paths of Brain Fibers in Diffusion Images Mixed with a Noise to Improve Performance of Tractography Algorithm-Evaluation in Phantom', سامانه مدیریت نشریات علمی, 14(4), pp. 357-364. doi: 10.31661/jbpe.v0i0.2108-1387
Shirazinodeh, Alireza, Faraji, Hadis, Sharifzadeh Javidi, Sam, Jafari, Amir Homayoun, Nazemzadeh, Mohammadreza, Saligheh Rad, Hamidreza. Main Paths of Brain Fibers in Diffusion Images Mixed with a Noise to Improve Performance of Tractography Algorithm-Evaluation in Phantom. سامانه مدیریت نشریات علمی, 1403; 14(4): 357-364. doi: 10.31661/jbpe.v0i0.2108-1387

Main Paths of Brain Fibers in Diffusion Images Mixed with a Noise to Improve Performance of Tractography Algorithm-Evaluation in Phantom

Journal of Biomedical Physics and Engineering
دوره 14، شماره 4، آبان 2024، صفحه 357-364    اصل مقاله (1.58 M)
نوع مقاله: Original Research
شناسه دیجیتال (DOI): 10.31661/jbpe.v0i0.2108-1387
نویسندگان
Alireza Shirazinodeh1؛ Hadis Faraji2؛ Sam Sharifzadeh Javidi1؛ Amir Homayoun Jafari3، 1؛ Mohammadreza Nazemzadeh1، 2؛ Hamidreza Saligheh Rad* 1، 4
1Department of Medical Physics and Biomedical Engineering, Medicine School, Tehran University of Medical Sciences, Tehran, Iran
2Research Center for Molecular and Cellular Imaging Advanced Medical Technologies and Equipment, Tehran University of Medical Sciences, Tehran, Iran
3Research Center for Biomedical Technologies and Robotics (RCBTR) Tehran University of Medical Sciences, Tehran, Iran
4Quantitative Medical Imaging Systems Group, Research Center for Molecular and Cellular Imaging, Tehran University of Medical Sciences, Tehran, Iran
چکیده
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.

تازه های تحقیق

Alireza Shirazinodeh (Google Scholar)

Hamidreza Saligheh (Google Scholar)

کلیدواژه‌ها
Diffusion Tractography؛ Diffusion Magnetic Resonance Imaging؛ Features؛ Gaussian Distribution؛ Local Phase؛ Noise؛ Feasibility Studies؛ Brain
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