Abstract
In this chapter, we consider the task of anatomically labeling diffusion tensor images of cerebral white matter to facilitate visualization as well as quantitative comparison of these data. The analogous labeling problem for structural magnetic resonance images of the brain has been extensively studied and we propose that advances in atlas-based techniques may be leveraged to anatomically segment the fiber-tractographic maps derived from diffusion tensor data. The feasibility of the approach is demonstrated with data acquired of the corpus callosum, and implications of the results for callosal morphometry are discussed.
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Gee, J.C., Zhang, H., Dubb, A., Avants, B.B., Yushkevich, P.A., Duda, J.T. (2006). Anatomy-Based Visualizations of Diffusion Tensor Images of Brain White Matter. In: Weickert, J., Hagen, H. (eds) Visualization and Processing of Tensor Fields. Mathematics and Visualization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31272-2_8
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DOI: https://doi.org/10.1007/3-540-31272-2_8
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