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Updated: May 30, 2026
Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Published on: July 28, 2013
Virus infection on Brain White Matter: statistical analysis of DT MRI scans
R Kalpana1, S Muttan, N Kumarasamy
1Department of Electronics and Communication Engineering, CEG Campus, Anna University, Chennai 600025, India. kalpanatirth@gmail.com
Abstract:
Brain White Matter (BWM) is formed on nerve fibres (due to myelin coating) and it undergoes continuous changes with aging throughout the life of humans. This age-related morphology, however, also gets further modified when a subject is infected by a viral disease such as HIV. In the present study, textural variations in BWM specific to a set of control images vs. images of a HIV + subject are assayed via an algorithm based on the Grey Level Co-occurrence Matrix (GLCM); and the associated Haralick features that are extracted from the GLCM. The clinical images of the brain used in the study are gathered from the noninvasive technique of Diffusion Tensor Magnetic Resonance Imaging (DT MRI). Results observed in the images of normal (nonpathogenic) subjects show progressive changes in the image parameters with aging; whereas, a wider variation is observed in the relevant parameters of the images pertinent to pathogenic subjects who exhibit cognitive (or motor impairments) due to HIV infection. The findings of the proposed method are reasonably correlated with clinical diagnosis in two HIV+ cases.
Insights
This study analyzes brain white matter (BWM) changes in HIV+ individuals using DT MRI and GLCM texture analysis. Findings reveal significant variations in BWM parameters, correlating with clinical diagnosis in HIV patients.
Area of Science:
- Neuroimaging
- Biomedical Engineering
- Radiology
Background:
- Brain White Matter (BWM) exhibits age-related morphological changes.
- Viral infections, such as HIV, can further modify BWM structure.
- Understanding these modifications is crucial for diagnosing and managing neurological complications.
Purpose of the Study:
- To investigate textural variations in BWM in HIV+ subjects compared to controls.
- To assess the utility of Grey Level Co-occurrence Matrix (GLCM) and Haralick features for detecting HIV-related BWM changes.
- To correlate imaging findings with clinical diagnosis.
Main Methods:
- Utilized Diffusion Tensor Magnetic Resonance Imaging (DT MRI) for noninvasive brain imaging.
- Applied a GLCM-based algorithm to extract Haralick features from BWM.
- Compared textural parameters between control subjects and HIV+ individuals.
Main Results:
- Normal aging shows progressive changes in BWM image parameters.
- HIV+ subjects exhibit wider variations in BWM parameters compared to controls.
- The proposed method's findings showed reasonable correlation with clinical diagnosis in two HIV+ cases.
Conclusions:
- GLCM and Haralick features can effectively detect BWM textural variations associated with HIV infection.
- DT MRI combined with texture analysis shows promise for assessing HIV-related neurological changes.
- This approach may aid in the clinical diagnosis and monitoring of HIV-associated cognitive and motor impairments.
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