Voxel-based Texture Analysis of the Brain

Overview

Journal PLoS One

Specialties General Medicine
Science

Date 2015 Mar 11

PMID 25756621

Citations 27

Authors

Rouzbeh Maani

Yee Hong Yang

Sanjay Kalra

Affiliations

Soon will be listed here.

Abstract

This paper presents a novel voxel-based method for texture analysis of brain images. Texture analysis is a powerful quantitative approach for analyzing voxel intensities and their interrelationships, but has been thus far limited to analyzing regions of interest. The proposed method provides a 3D statistical map comparing texture features on a voxel-by-voxel basis. The validity of the method was examined on artificially generated effects as well as on real MRI data in Alzheimer's Disease (AD). The artificially generated effects included hyperintense and hypointense signals added to T1-weighted brain MRIs from 30 healthy subjects. The AD dataset included 30 patients with AD and 30 age/sex matched healthy control subjects. The proposed method detected artificial effects with high accuracy and revealed statistically significant differences between the AD and control groups. This paper extends the usage of texture analysis beyond the current region of interest analysis to voxel-by-voxel 3D statistical mapping and provides a hypothesis-free analysis tool to study cerebral pathology in neurological diseases.

Citing Articles

T1-weighted MRI texture analysis in amyotrophic lateral sclerosis patients stratified by the D50 progression model.

Parnianpour P, Steinbach R, Buchholz I, Grosskreutz J, Kalra S Brain Commun. 2024; 6(6):fcae389.

PMID: 39544700 PMC: 11562117. DOI: 10.1093/braincomms/fcae389.

Altered brain texture features in end-stage renal disease patients: a voxel-based 3D brain texture analysis study.

Fang J, Xu H, Zhou Y, Zou F, Zuo J, Wu J Front Neurosci. 2024; 18:1471286.

PMID: 39464423 PMC: 11502495. DOI: 10.3389/fnins.2024.1471286.

Texture-based morphometry in relation to apolipoprotein ε4 genotype, ageing and sex in a midlife population.

Dounavi M, Mak E, Operto G, Muniz-Terrera G, Bridgeman K, Koychev I Hum Brain Mapp. 2024; 45(11):e26798.

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Mismatch between clinically defined classification of ALS stage and the burden of cerebral pathology.

Parnianpour P, Benatar M, Briemberg H, Dey A, Dionne A, Dupre N J Neurol. 2024; 271(5):2547-2559.

PMID: 38282082 DOI: 10.1007/s00415-024-12190-x.

Magnetic resonance texture analysis reveals stagewise nonlinear alterations of the frontal gray matter in patients with early psychosis.

Moon S, Park H, Lee W, Lee S, Lho S, Kim M Mol Psychiatry. 2023; 28(12):5309-5318.

PMID: 37500824 DOI: 10.1038/s41380-023-02163-3.

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