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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.

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.

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