Improved precision in CHARMED assessment of white matter through sampling scheme optimization and model parsimony testing

De Santis, Silvia ORCID: https://orcid.org/0000-0001-9739-6926, Assaf, Yaniv, Evans, Christopher John ORCID: https://orcid.org/0000-0002-6619-4245 and Jones, Derek K. ORCID: https://orcid.org/0000-0003-4409-8049 2014. Improved precision in CHARMED assessment of white matter through sampling scheme optimization and model parsimony testing. Magnetic Resonance in Medicine 71 (2) , pp. 661-671. 10.1002/mrm.24717

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Abstract

Purpose: The composite hindered and restricted model of diffusion provides microstructural indices that are potentially more specific than those from diffusion tensor imaging. However, in comparison to diffusion tensor imaging, the acquisition time is longer, limiting clinical applications. Moreover, the model requires several parameters to be estimated whose confidence intervals can be large. Here, the composite hindered and restricted model of diffusion acquisition and data processing pipelines are optimized to extend the utility of this approach. Methods: A multishell sampling scheme was optimized using the electrostatic repulsion algorithm, combined with optimal ordering. The optimal protocol, using as few measurements as possible, was determined through leave-n-out analyses. Parsimonious model selection criteria were used to select between nested models, comprising up to three restricted compartments. The schemes were evaluated using both through Monte-Carlo simulations and in vivo data. Results: The optimization/model selection procedure resulted in increased accuracy and precision on the estimated parameters, allowing for a reduction in acquisition time and marked improvements in data quality. The final protocol provided whole brain coverage data in only 12 min. Conclusion: Through careful optimization of the acquisition and analysis pipeline for the composite hindered and restricted model of diffusion, it is possible to reduce acquisition time for whole brain datasets to a time that is clinically applicable.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Cardiff University Brain Research Imaging Centre (CUBRIC) Medicine Neuroscience and Mental Health Research Institute (NMHRI) Psychology
Subjects:	B Philosophy. Psychology. Religion > BF Psychology R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Uncontrolled Keywords:	CHARMED; model parsimony; Bayesian information criterion; optimized gradient scheme; diffusion MRI
Publisher:	John Wiley & Sons
ISSN:	0740-3194
Date of Acceptance:	30 January 2013
Last Modified:	24 Oct 2022 11:24
URI:	https://orca.cardiff.ac.uk/id/eprint/47980

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