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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Local White Matter Geometry Indices from Diffusion Tensor Gradients
verfasst von : Peter Savadjiev, Gordon Kindlmann, Sylvain Bouix, Martha E. Shenton, Carl-Fredrik Westin
Erschienen in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009
Verlag: Springer Berlin Heidelberg
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We introduce a framework for computing geometrical properties of white matter fibres directly from diffusion tensor fields. The key idea is to isolate the portion of the
gradient
of the tensor field corresponding to local variation in tensor orientation, and to project it onto a coordinate frame of tensor eigenvectors. The resulting eigenframe-centered representation makes it possible to define scalar geometrical measures that describe the underlying white matter fibres, directly from the diffusion tensor field and its gradient, without requiring prior tractography. We define two new scalar measures of (1) fibre dispersion and (2) fibre curving, and we demonstrate them on synthetic and
in-vivo
datasets. Finally, we illustrate their applicability in a group study on schizophrenia.