Title
Comprehensive framework for accurate diffusion MRI parameter estimation Comprehensive framework for accurate diffusion MRI parameter estimation
Author
Faculty/Department
Faculty of Sciences. Physics
Publication type
article
Publication
Orlando, Fla ,
Subject
Physics
Human medicine
Computer. Automation
Source (journal)
Magnetic resonance in medicine. - Orlando, Fla
Volume/pages
70(2013) :4 , p. 972-984
ISSN
0740-3194
0740-3194
ISI
000325136300009
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
During the last decade, many approaches have been proposed for improving the estimation of diffusion measures. These techniques have already shown an increase in accuracy based on theoretical considerations, such as incorporating prior knowledge of the data distribution. The increased accuracy of diffusion metric estimators is typically observed in well-defined simulations, where the assumptions regarding properties of the data distribution are known to be valid. In practice, however, correcting for subject motion and geometric eddy current deformations alters the data distribution tremendously such that it can no longer be expressed in a closed form. The image processing steps that precede the model fitting will render several assumptions on the data distribution invalid, potentially nullifying the benefit of applying more advanced diffusion estimators. In this work, we present a generic diffusion model fitting framework that considers some statistics of diffusion MRI data. A central role in the framework is played by the conditional least squares estimator. We demonstrate that the accuracy of that particular estimator can generally be preserved, regardless the applied preprocessing steps, if the noise parameter is known a priori. To fulfill that condition, we also propose an approach for the estimation of spatially varying noise levels.
E-info
https://repository.uantwerpen.be/docman/iruaauth/1549e2/a700fda08e7.pdf
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