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Anisotropy Measure from Three Diffusion-Encoding Gradient Directions

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...

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Autores principales: Aja-Fernández, Santiago, París, Guillem, Martín-Martín, Carmen, Jones, Derek K., Tristán-Vega, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7615248/
https://www.ncbi.nlm.nih.gov/pubmed/35122982
http://dx.doi.org/10.1016/j.mri.2022.01.014
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author Aja-Fernández, Santiago
París, Guillem
Martín-Martín, Carmen
Jones, Derek K.
Tristán-Vega, Antonio
author_facet Aja-Fernández, Santiago
París, Guillem
Martín-Martín, Carmen
Jones, Derek K.
Tristán-Vega, Antonio
author_sort Aja-Fernández, Santiago
collection PubMed
description 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.
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spelling pubmed-76152482023-10-26 Anisotropy Measure from Three Diffusion-Encoding Gradient Directions Aja-Fernández, Santiago París, Guillem Martín-Martín, Carmen Jones, Derek K. Tristán-Vega, Antonio Magn Reson Imaging Article 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. 2022-05-01 2022-02-02 /pmc/articles/PMC7615248/ /pubmed/35122982 http://dx.doi.org/10.1016/j.mri.2022.01.014 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a BY 4.0 (https://creativecommons.org/licenses/by/4.0/) International license.
spellingShingle Article
Aja-Fernández, Santiago
París, Guillem
Martín-Martín, Carmen
Jones, Derek K.
Tristán-Vega, Antonio
Anisotropy Measure from Three Diffusion-Encoding Gradient Directions
title Anisotropy Measure from Three Diffusion-Encoding Gradient Directions
title_full Anisotropy Measure from Three Diffusion-Encoding Gradient Directions
title_fullStr Anisotropy Measure from Three Diffusion-Encoding Gradient Directions
title_full_unstemmed Anisotropy Measure from Three Diffusion-Encoding Gradient Directions
title_short Anisotropy Measure from Three Diffusion-Encoding Gradient Directions
title_sort anisotropy measure from three diffusion-encoding gradient directions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7615248/
https://www.ncbi.nlm.nih.gov/pubmed/35122982
http://dx.doi.org/10.1016/j.mri.2022.01.014
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