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Outlier rejection for diffusion weighted imaging

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2007) 4791 LNCS(PART 1) 161-168
DOI: 10.1007/978-3-540-75757-3_20
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Abstract

This paper introduces an outlier rejection and signal reconstruction method for high angular resolution diffusion weighted imaging. The approach is based on the thresholding of Laplacian measurements over the sphere of the apparent diffusion coefficient profiles defined for a given set of gradient directions. Exemplary results are presented. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Niethammer, M., Bouix, S., Aja-Fernández, S., Westin, C. F., & Shenton, M. E. (2007). Outlier rejection for diffusion weighted imaging. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4791 LNCS, pp. 161–168). Springer Verlag. https://doi.org/10.1007/978-3-540-75757-3_20

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