Improved precision in CHARMED assessment of white matter through sampling scheme optimization and model parsimony testing. Issue 2 (8th March 2013)

• Record Type: Journal Article
• Authors: De, S.; Assaf, Y.; Evans, C. J.; Jones, D. K.
• Is Part Of: Magnetic resonance in medicine. Volume 71:Issue 2(2014:Feb.)
• Page Start: 661
• Page End: 671
• Publication Date: 2013-03-08
• Subjects: Nuclear magnetic resonance -- Periodicals; Electron paramagnetic resonance -- Periodicals; 616.07548
• DOI: 10.1002/mrm.24717
• Languages: English
• ISSNs: 0740-3194

Abstract

<abstract abstract-type="main"> <title> <x xml:space="preserve">Abstract</x> </title> <sec id="mrm24717-sec-0001" sec-type="section"> <title>Purpose</title> <p>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.</p> </sec> <sec id="mrm24717-sec-0002" sec-type="section"> <title>Methods</title> <p>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‐<italic>n</italic>‐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.</p> </sec> <sec id="mrm24717-sec-0003" sec-type="section"> <title>Results</title> <p>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.</p> </sec> <sec id="mrm24717-sec-0004" sec-type="section"> <title>Conclusion</title> <p>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. Magn Reson Med 71:661–671, 2014. © 2013 Wiley Periodicals, Inc.</p> </sec> </abstract>