Voxel-Based Texture Analysis of the Brain
Rouzbeh Maania b, Yee‐Hong Yanga b, Sanjay Kalrac✉
- aDepartment of Computing Science, University of Alberta, Edmonton, Canada
- b[Dept. of Computing Science, University of Alberta, Edmonton, Canada]
- cDepartments of Medicine, Computing Science, and Biomedical Engineering, University of Alberta, Edmonton, Canada
- ✉Corresponding author
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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.
TL;DRThe proposed method detected artificial effects with high accuracy and revealed statistically significant differences between the AD and control groups, and provides a hypothesis-free analysis tool to study cerebral pathology in neurological diseases. (Semantic Scholar)