Abstract
A method for regularizing diffusion tensor magnetic resonance images (DT-MRI) is presented. The scheme is divided into two main parts: a restoration of the principal diffusion direction, and a regularization of the 3 eigenvalue maps. The former make use of recent variational methods for restoring direction maps, while the latter makes use of the strong structural information embedded in the diffusion tensor image to drive a non-linear anisotropic diffusion process. The whole process is illustrated on synthetic and real data, and possible improvements are discussed.
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CITATION STYLE
Coulon, O., Alexander, D. C., & Arridge, S. R. (2001). A regularization scheme for diffusion tensor magnetic resonance images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2082, pp. 92–105). Springer Verlag. https://doi.org/10.1007/3-540-45729-1_8
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