Your browser doesn't support javascript.
loading
Main Paths of Brain Fibers in Diffusion Images Mixed with a Noise to Improve Performance of Tractography Algorithm-Evaluation in Phantom.
Shirazinodeh, Alireza; Faraji, Hadis; Sharifzadeh Javidi, Sam; Jafari, Amir Homayoun; Nazemzadeh, Mohammadreza; Saligheh Rad, Hamidreza.
Afiliación
  • Shirazinodeh A; Department of Medical Physics and Biomedical Engineering, Medicine School, Tehran University of Medical Sciences, Tehran, Iran.
  • Faraji H; Research Center for Molecular and Cellular Imaging Advanced Medical Technologies and Equipment, Tehran University of Medical Sciences, Tehran, Iran.
  • Sharifzadeh Javidi S; Department of Medical Physics and Biomedical Engineering, Medicine School, Tehran University of Medical Sciences, Tehran, Iran.
  • Jafari AH; Department of Medical Physics and Biomedical Engineering, Medicine School, Tehran University of Medical Sciences, Tehran, Iran.
  • Nazemzadeh M; Research Center for Biomedical Technologies and Robotics (RCBTR) Tehran University of Medical Sciences, Tehran, Iran.
  • Saligheh Rad H; Department of Medical Physics and Biomedical Engineering, Medicine School, Tehran University of Medical Sciences, Tehran, Iran.
J Biomed Phys Eng ; 14(4): 357-364, 2024 Aug.
Article en En | MEDLINE | ID: mdl-39175552
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.
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Biomed Phys Eng Año: 2024 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Irán
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: J Biomed Phys Eng Año: 2024 Tipo del documento: Article País de afiliación: Irán Pais de publicación: Irán