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

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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. © 2007 Mueller et al; licensee BioMed Central Ltd.

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Mueller, H. P., Unrath, A., Sperfeld, A. D., Ludolph, A. C., Riecker, A., & Kassubek, J. (2007). Diffusion tensor imaging and tractwise fractional anisotropy statistics: Quantitative analysis in white matter pathology. BioMedical Engineering Online, 6. https://doi.org/10.1186/1475-925X-6-42

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