On Diffusion Tensor Estimation

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On Diffusion Tensor Estimation

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Title: On Diffusion Tensor Estimation
Author: Niethammer, Marc; Estepar, Raul San Jose; Bouix, Sylvain; Shenton, Martha Elizabeth ORCID  0000-0003-4235-7879 ; Westin, Carl-Fredrik

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Citation: Niethammer M, San Jose Estepar R, Bouix S, Shenton M, Westin CF. 2006. On diffusion tensor estimation. Conf Proc IEEE Eng Med Biol Soc 1: 2622-5. PMID: 17946125; PMCID: PMC2791793. doi:10.1109/IEMBS.2006.259826
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Abstract: In this paper we propose a formal formulation for the estimation of Diffusion Tensors in the space of symmetric positive semidefinite (PSD) tensors. Traditionally, diffusion tensor model estimation has been carried out imposing tensor symmetry without constraints for negative eigenvalues. When diffusion weighted data does not follow the diffusion model, due to noise or signal drop, negative eigenvalues may arise. An estimation method that accounts for the positive definiteness is desirable to respect the underlying principle of diffusion. This paper proposes such an estimation method and provides a theoretical interpretation of the result. A closed-form solution is derived that is the optimal data-fit in the matrix 2-norm sense, removing the need for optimization-based tensor estimation.
Published Version: doi:10.1109/IEMBS.2006.259826
Other Sources: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2791793/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:33766552
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