Anisotropy measure from three diffusion-encoding gradient directions

Aja-Fernández, Santiago, París, Guillem, Martín-Martín, Carmen, Jones, Derek K. ORCID: https://orcid.org/0000-0003-4409-8049 and Tristán-Vega, Antonio 2022. Anisotropy measure from three diffusion-encoding gradient directions. Magnetic Resonance Imaging 88 , pp. 38-43. 10.1016/j.mri.2022.01.014

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Abstract

We propose a method that can provide information about the anisotropy and orientation of diffusion in the brain from only 3 orthogonal gradient directions without imposing additional assumptions. The method is based on the Diffusion Anisotropy (DiA) that measures the distance from a diffusion signal to its isotropic equivalent. The original formulation based on a Spherical Harmonics basis allows to go down to only 3 orthogonal directions in order to estimate the measure. In addition, an alternative simplification and a color-coding representation are also proposed. Acquisitions from a publicly available database are used to test the viability of the proposal. The DiA succeeded in providing anisotropy information from the white matter using only 3 diffusion-encoding directions. The price to pay for such reduced acquisition is an increment in the variability of the data and a subestimation of the metric on those tracts not aligned with the acquired directions. Nevertheless, the calculation of anisotropy information from DMRI is feasible using fewer than 6 gradient directions by using DiA. The method is totally compatible with existing acquisition protocols, and it may provide complementary information about orientation in fast diffusion acquisitions

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Psychology Cardiff University Brain Research Imaging Centre (CUBRIC)
Additional Information:	This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Publisher:	Elsevier
ISSN:	0730-725X
Date of First Compliant Deposit:	17 February 2022
Date of Acceptance:	26 January 2022
Last Modified:	11 May 2023 05:23
URI:	https://orca.cardiff.ac.uk/id/eprint/147593

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