Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls-Reference-Cited by-同舟云学术

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Weighted linear least squares estimation of diffusion MRI parameters: Strengths, limitations, and pitfalls

Published:2013-11 Issue: Volume:81 Page:335-346
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Veraart Jelle,Sijbers Jan,Sunaert Stefan,Leemans Alexander,Jeurissen Ben

Funder

Science and Technology in Flanders (IWT-Vlaanderen)

Fund for Scientific Research-Flanders (FWO)

Belgian Science Policy Office

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference37 articles.

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2. Statistical noise analysis in GRAPPA using a parameterized noncentral Chi approximation model;Aja-Fernández;Magn. Reson. Med.,2011

3. Maximum a posteriori estimation of diffusion tensor parameters using a Rician noise model: why, how and but?;Andersson;Neuroimage,2008

4. MR diffusion tensor spectroscopy and imaging;Basser;Biophys. J.,1994

5. Estimation of the effective self-diffusion tensor from the NMR spin echo;Basser;J. Magn. Reson. B,1994

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