Literature DB >> 29727508

Characterizing intra-axonal water diffusion with direction-averaged triple diffusion encoding MRI.

Jens H Jensen1,2,3, Joseph A Helpern1,2,3,4.   

Abstract

For large diffusion weightings, the direction-averaged diffusion MRI (dMRI) signal from white matter is typically dominated by the contribution of water confined to axons. This fact can be exploited to characterize intra-axonal diffusion properties, which may be valuable for interpreting the biophysical meaning of diffusion changes associated with pathology. However, using just the classic Stejskal-Tanner pulse sequence, it has proven challenging to obtain reliable estimates for both the intrinsic intra-axonal diffusivity and the intra-axonal water fraction. Here we propose to apply a modification of the Stejskal-Tanner sequence designed for achieving such estimates. The key feature of the sequence is the addition of a set of extra diffusion encoding gradients that are orthogonal to the direction of the primary gradients, which corresponds to a specific type of triple diffusion encoding (TDE) MRI sequence. Given direction-averaged dMRI data for this TDE sequence, it is shown how the intra-axonal diffusivity and the intra-axonal water fraction can be determined by applying simple, analytic formulae. The method is illustrated with numerical simulations, which suggest that it should be accurate for b-values of about 4000 s/mm2 or higher.
Copyright © 2018 John Wiley & Sons, Ltd.

Entities:  

Keywords:  brain; diffusion MRI; direction averaged; high b-value; intra-axonal; pulse sequence; water fraction; white matter

Mesh:

Substances:

Year:  2018        PMID: 29727508      PMCID: PMC9007177          DOI: 10.1002/nbm.3930

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


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