Preprints
https://doi.org/10.5194/mr-2022-16
https://doi.org/10.5194/mr-2022-16
 
10 Oct 2022
10 Oct 2022
Status: this preprint is currently under review for the journal MR.

Multidimensional encoding of restricted and anisotropic diffusion by double rotation of the q-vector

Hong Jiang, Leo Svenningsson, and Daniel Topgaard Hong Jiang et al.
  • Physical Chemistry, Lund University, P.O. Box 124, SE-22100 Lund, Sweden

Abstract. Diffusion NMR and MRI methods building on the classic pulsed gradient spin echo sequence are sensitive to many aspects of translational motion, including time/frequency-dependence (“restriction”), anisotropy, and flow, which leads to ambiguities when interpreting experimental data from complex heterogeneous materials such as living biological tissues. Higher specificity to restriction or anisotropy can be obtained with, respectively, oscillating gradient or tensor-valued encoding which nevertheless both have some sensitivity to the property not being of direct interest. Here we propose a simple scheme derived from the “double rotation” technique in solid-state NMR to generate a family of modulated gradient waveforms allowing for comprehensive exploration of the two-dimensional frequency-anisotropy space and convenient investigation of both restricted and anisotropic diffusion with a single multidimensional acquisition protocol. The method is demonstrated by measuring multicomponent isotropic Gaussian diffusion in simple liquids, anisotropic Gaussian diffusion in a polydomain lyotropic liquid crystal, and restricted diffusion in a yeast cell sediment.

Hong Jiang et al.

Status: open (until 20 Dec 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on mr-2022-16', Tom Barbara, 17 Oct 2022 reply
  • RC1: 'Comment on mr-2022-16', Tom Barbara, 08 Nov 2022 reply
    • RC2: 'Reply on RC1', Tom Barbara, 09 Nov 2022 reply
      • RC3: 'Reply on RC2', Tom Barbara, 15 Nov 2022 reply

Hong Jiang et al.

Hong Jiang et al.

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Short summary
Diffusion MRI is a clinically important tool for noninvasive detection of pathological conditions that lead to microscopic changes in cell and tissue structures, but suffers from interpretational ambiguities when applied to heterogeneous and disordered tissues comprising cells with multiple sizes, shapes, and orientations. We propose a simple scheme to encode the MRI signal with sufficient amount of information to resolve and study all properties simultaneously.