Limits...
Voxel-based texture analysis of the brain.

Maani R, Yang YH, Kalra S - PLoS ONE (2015)

Bottom Line: The proposed method provides a 3D statistical map comparing texture features on a voxel-by-voxel basis.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.

View Article: PubMed Central - PubMed

Affiliation: Department of Computing Science, University of Alberta, Edmonton, Canada.

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.

Show MeSH

Related in: MedlinePlus

Statistical map of the local textures corrected by FDR at p<0.01 in the AD database.VGLCM-TOP-3D at Q = 8 was used to compute the features.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4355627&req=5

pone.0117759.g005: Statistical map of the local textures corrected by FDR at p<0.01 in the AD database.VGLCM-TOP-3D at Q = 8 was used to compute the features.

Mentions: Since VGLCM-TOP-3D provided a better performance with detection of artificial lesions, VGLCM-TOP-3D at Q = 8 was used to study cerebral changes in AD. To decrease the false positive error FDR was set at p<0.01 instead of p<0.05, and only clusters with at least 10 voxel extensions were considered in the generation of statistical maps. Differences in AD in all textures except f2, f3, and f4 were found (Fig. 5, Table 3). The bulk of the findings are concentrated in the medial temporal lobes. The results of f5 and f8 and the results of f1, f6, and f7 were similar. Features f1, f6, and f7 showed larger regions compared to f5 and f8. Table 3 summarizes the detected regions using voxel-based texture analysis in this paper and from other studies in AD.


Voxel-based texture analysis of the brain.

Maani R, Yang YH, Kalra S - PLoS ONE (2015)

Statistical map of the local textures corrected by FDR at p<0.01 in the AD database.VGLCM-TOP-3D at Q = 8 was used to compute the features.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4355627&req=5

pone.0117759.g005: Statistical map of the local textures corrected by FDR at p<0.01 in the AD database.VGLCM-TOP-3D at Q = 8 was used to compute the features.
Mentions: Since VGLCM-TOP-3D provided a better performance with detection of artificial lesions, VGLCM-TOP-3D at Q = 8 was used to study cerebral changes in AD. To decrease the false positive error FDR was set at p<0.01 instead of p<0.05, and only clusters with at least 10 voxel extensions were considered in the generation of statistical maps. Differences in AD in all textures except f2, f3, and f4 were found (Fig. 5, Table 3). The bulk of the findings are concentrated in the medial temporal lobes. The results of f5 and f8 and the results of f1, f6, and f7 were similar. Features f1, f6, and f7 showed larger regions compared to f5 and f8. Table 3 summarizes the detected regions using voxel-based texture analysis in this paper and from other studies in AD.

Bottom Line: The proposed method provides a 3D statistical map comparing texture features on a voxel-by-voxel basis.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.

View Article: PubMed Central - PubMed

Affiliation: Department of Computing Science, University of Alberta, Edmonton, Canada.

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.

Show MeSH
Related in: MedlinePlus