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Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
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Shaving diffusion tensor images in discriminant analysis: a study into schizophrenia.

M W A Caan1, K A Vermeer, L J van Vliet

  • 1Quantitative Imaging Group, Delft University of Technology, Lorentzweg 1, 2628 CJ, Delft, The Netherlands. m.w.a.caan@tudelft.nl

Medical Image Analysis
|September 13, 2006
PubMed
Summary

A new "shaving" technique automatically identifies relevant brain regions for comparative studies, unlike traditional methods. This approach revealed specific white matter changes in schizophrenia patients using diffusion tensor imaging (DTI).

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Area of Science:

  • Neuroimaging
  • Medical image analysis
  • Computational neuroscience

Background:

  • Conventional region of interest (ROI) analysis requires pre-defined hypotheses or expert selection.
  • Voxel-based analysis (VBA) is a common neuroimaging analysis method.
  • Diffusion tensor imaging (DTI) is used to study white matter integrity.

Purpose of the Study:

  • To introduce and validate a novel automated technique, 'shaving', for extracting relevant image regions in comparative studies.
  • To apply the 'shaving' technique to a diffusion tensor imaging (DTI) study of schizophrenia.
  • To compare the 'shaving' method with conventional voxel-based analysis (VBA).

Main Methods:

  • The 'shaving' technique automatically extracts relevant image regions without prior hypotheses.
  • Principal component analysis (PCA) and linear discriminant analysis (LDA) are used to model data correlations.
  • DTI data from schizophrenia patients were analyzed using both 'shaving' and conventional VBA.

Main Results:

  • The 'shaving' method identified decreased fractional anisotropy (FA) in the corpus callosum, consistent with VBA.
  • The 'shaving' method detected increased FA in the posterior limb of the internal capsule and uncinate fasciculus.
  • A significant correlation was found between decreased FA in the corpus callosum and increased FA in the uncinate fasciculus.

Conclusions:

  • The 'shaving' technique offers an automated and hypothesis-free approach for neuroimaging analysis.
  • This method successfully identified known and novel white matter alterations in schizophrenia.
  • The 'shaving' technique can reveal complex correlations between different brain regions.