Variational Frameworks for DT-MRI Estimation, Regularization and Visualization

Authors:
David Tschumperlé;Rachid Deriche
Affiliations:
-;-
Venue:
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Year:
2003

Citing 0
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Abstract

We address three crucial issues encountered in DT-MRI (DiffusionTensor Magnetic Resonance Imaging) : diffusion tensor Estimation,Regularization and fiber bundle Visualization. We first reviewrelated algorithms existing in the literature and propose thenalternative variational formalisms that lead to new and improvedschemes, thanks to the preservation of important tensor constraints(positivity, symmetry). We illustrate how our complete DT-MRIprocessing pipeline can be successfully used to construct and drawfiber bundles in the white matter of the brain, from a set of noisyraw MRI images.