Diffusion tensor imaging and tractwise fractional anisotropy statistics: quantitative analysis in white matter pathology

Biomed Eng Online. 2007 Nov 9:6:42. doi: 10.1186/1475-925X-6-42.

Abstract

Background: Information on anatomical connectivity in the brain by measurements of the diffusion of water in white matter tracts lead to quantification of local tract directionality and integrity.

Methods: The combination of connectivity mapping (fibre tracking, FT) with quantitative diffusion fractional anisotropy (FA) mapping resulted in the approach of results based on group-averaged data, named tractwise FA statistics (TFAS). The task of this study was to apply these methods to group-averaged data from different subjects to quantify differences between normal subjects and subjects with defined alterations of the corpus callosum (CC).

Results: TFAS exhibited a significant FA reduction especially in the CC, in agreement with region of interest (ROI)-based analyses.

Conclusion: In summary, the applicability of the TFAS approach to diffusion tensor imaging studies of normal and pathologically altered brains was demonstrated.

MeSH terms

  • Adult
  • Algorithms
  • Anisotropy*
  • Biomedical Engineering / methods
  • Brain / pathology
  • Brain Mapping / methods
  • Central Nervous System / pathology*
  • Corpus Callosum / pathology*
  • Diffusion
  • Diffusion Magnetic Resonance Imaging / methods*
  • Female
  • Humans
  • Male
  • Models, Statistical