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Texture analysis of cerebral white matter in SIV-infected macaque monkeys
T W Pope1, L Raymond, L Foresman
1Imaging Resource Center, University of Kansas School of Medicine, Kansas City, USA.
Abstract:
Image texture analysis is used in a wide variety of applications in medical research. Neurovirulent simian immunodeficiency virus (SIV) infection in monkeys is considered a good model for HIV-1 infection in humans and causes neuropathological changes in white matter which can include diffuse myelin pallor, subtle white matter astrocytosis, perivascular macrophage infiltrates, and microglial nodules with multinucleated giant cells. The ability of image texture analysis to quantify these changes was evaluated. Sections of thionin-stained brain tissue from eight male rhesus macaques ranging in age from 42-59 months were used. Four animals served as controls and four animals were infected with neurovirulent SIVmac239/17E-R71 by bone marrow inoculation. Images of cerebral white matter were captured and analyzed by calculating 13 textural features based on statistical analysis of spatial co-occurrence matrices. Statistical analysis of the results included multiple comparisons using the Newman-Keuls multiple range test. The effect of variation in background illumination used at image acquisition was also evaluated. Ten of the 13 textural features used in this study successfully discriminated between tissue from control and SIV-infected animals and were consistent with independent neuropathological assessment. Three textural features were highly sensitive to variation in background illumination and found not useful in this application.
Insights
Image texture analysis effectively quantifies neuropathological changes in simian immunodeficiency virus (SIV) infection, a model for human immunodeficiency virus (HIV). Ten textural features accurately distinguished SIV-infected monkey brains from controls.
Area of Science:
- Neuroscience
- Medical Imaging
- Pathology
Background:
- Simian immunodeficiency virus (SIV) infection in macaques models human immunodeficiency virus (HIV) neuropathology.
- SIV causes white matter changes, including myelin pallor and inflammation.
Purpose of the Study:
- To evaluate image texture analysis for quantifying SIV-induced neuropathological changes in primate white matter.
- To identify reliable textural features for assessing SIV infection in brain tissue.
Main Methods:
- Analysis of thionin-stained brain tissue from control and SIV-infected rhesus macaques.
- Calculation of 13 textural features from cerebral white matter images using spatial co-occurrence matrices.
- Statistical analysis, including Newman-Keuls multiple range test, and evaluation of illumination effects.
Main Results:
- Ten of 13 textural features successfully discriminated between control and SIV-infected animals.
- Image texture analysis results correlated with independent neuropathological assessments.
- Three textural features were sensitive to illumination variations and deemed unsuitable.
Conclusions:
- Image texture analysis is a viable method for quantifying SIV-related white matter changes.
- Specific textural features can reliably detect neuropathology in SIV-infected macaques.
- Careful consideration of image acquisition parameters, like illumination, is crucial for reliable analysis.