BioMedical Engineering OnLine

official impact factor 1.12

Open Access Research

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

Hans-Peter Mueller*, Alexander Unrath, Anne D Sperfeld, Albert C Ludolph, Axel Riecker and Jan Kassubek

Author Affiliations

Department of Neurology, University of Ulm, Ulm, Germany

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BioMedical Engineering OnLine 2007, 6:42 doi:10.1186/1475-925X-6-42

Published: 9 November 2007

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.