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Distortion correction and robust tensor estimation for MR diffusion imaging

✍ Scribed by J.-F. Mangin; C. Poupon; C. Clark; D. Le Bihan; I. Bloch

Publisher: Elsevier Science
Year: 2002
Tongue: English
Weight: 617 KB
Volume: 6
Category: Article
ISSN: 1361-8415
DOI: 10.1016/s1361-8415(02)00079-8

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✦ Synopsis

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 reduce outlier-related artefacts. Several experiments prove that the whole procedure highly improves the quality of the final diffusion maps.

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