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From single‐pulsed field gradient to double‐pulsed field gradient MR: gleaning new microstructural information and developing new forms of contrast in MRI
Author(s) -
Shemesh Noam,
Özarslan Evren,
Komlosh Michal E.,
Basser Peter J.,
Cohen Yoram
Publication year - 2010
Publication title -
nmr in biomedicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.278
H-Index - 114
eISSN - 1099-1492
pISSN - 0952-3480
DOI - 10.1002/nbm.1550
Subject(s) - pulsed field gradient , a priori and a posteriori , diffusion mri , computer science , voxel , robustness (evolution) , field (mathematics) , nuclear magnetic resonance , orientation (vector space) , contrast (vision) , computational physics , diffusion , materials science , physics , magnetic resonance imaging , chemistry , artificial intelligence , mathematics , medicine , philosophy , biochemistry , geometry , epistemology , radiology , pure mathematics , gene , thermodynamics
One of the hallmarks of diffusion NMR and MRI is its ability to utilize restricted diffusion to probe compartments much smaller than the excited volume or the MRI voxel, respectively, and to extract microstructural information from them. Single‐pulsed field gradient (s‐PFG) MR methodologies have been employed with great success to probe microstructures in various disciplines, ranging from chemistry to neuroscience. However, s‐PFG MR also suffers from inherent shortcomings, especially when specimens are characterized by orientation or size distributions: in such cases, the microstructural information available from s‐PFG experiments is limited or lost. Double‐pulsed field gradient (d‐PFG) MR methodology, an extension of s‐PFG MR, has attracted attention owing to recent theoretical studies predicting that it can overcome certain inherent limitations of s‐PFG MR. In this review, we survey the microstructural features that can be obtained from conventional s‐PFG methods in the different q regimes, and highlight its limitations. The experimental aspects of d‐PFG methodology are then presented, together with an overview of its theoretical underpinnings and a general framework for relating the MR signal decay and material microstructure, affording new microstructural parameters. We then discuss recent studies that have validated the theory using phantoms in which the ground truth is well known a priori , a crucial step prior to the application of d‐PFG methodology in neuronal tissue. The experimental findings are in excellent agreement with the theoretical predictions and reveal, inter alia , zero‐crossings of the signal decay, robustness towards size distributions and angular dependences of the signal decay from which accurate microstructural parameters, such as compartment size and even shape, can be extracted. Finally, we show some initial findings in d‐PFG MR imaging. This review lays the foundation for future studies, in which accurate and novel microstructural information could be extracted from complex biological specimens, eventually leading to new forms of contrast in MRI. Copyright © 2010 John Wiley & Sons, Ltd.