This paper presents a new procedure to estimate the diffusion tensor from a sequence of diffusion-weighted images. The first step of this procedure consists of the correction of the distortions usually induced by eddy-current related to the large diffusion-sensitizing gradients. This correction algorithm relies on the maximization of mutual information to estimate the three parameters of a geometric distortion model inferred from the acquisition principle. The second step of the procedure amounts to replacing the standard least squares based approach by the Geman-McLure M-estimator, in order to get rid of outlier related artefacts. Several experiments prove that the whole procedure highly improves the quality of the final diffusion maps.
CITATION STYLE
Mangin, J. F., Poupon1, C., Clark, C., Le Bihan, D., & Bloch, I. (2001). Eddy-current distortion correction and Robust tensor estimation for MR diffusion imaging. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2208, pp. 186–194). Springer Verlag. https://doi.org/10.1007/3-540-45468-3_23
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