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Kurtosis fractional anisotropy, its contrast and estimation by proxy
The diffusion kurtosis observed with diffusion magnetic resonance imaging (dMRI) may vary with direction. This directional variation is summarized in the scalar kurtosis fractional anisotropy (KFA). Recent studies suggest that kurtosis anisotropy offers microstructural contrast not contained in othe...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819179/ https://www.ncbi.nlm.nih.gov/pubmed/27041679 http://dx.doi.org/10.1038/srep23999 |
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author | Hansen, Brian Jespersen, Sune Nørhøj |
author_facet | Hansen, Brian Jespersen, Sune Nørhøj |
author_sort | Hansen, Brian |
collection | PubMed |
description | The diffusion kurtosis observed with diffusion magnetic resonance imaging (dMRI) may vary with direction. This directional variation is summarized in the scalar kurtosis fractional anisotropy (KFA). Recent studies suggest that kurtosis anisotropy offers microstructural contrast not contained in other commonly used dMRI markers. We compare KFA to other dMRI contrasts in fixed rat brain and in human brain. We then investigate the observed contrast differences using data obtained in a physical phantom and simulations based on data from the phantom, rat spinal cord, and human brain. Lastly, we assess a strategy for rapid estimation of a computationally modest KFA proxy by evaluating its correlation to true KFA for varying number of sampling directions and signal-to-noise ratio (SNR) levels. We also map this proxy’s b-value dependency. We find that KFA supplements the contrast of other dMRI metrics – particularly fractional anisotropy (FA) which vanishes in near orthogonal fiber arrangements where KFA does not. Simulations and phantom data support this interpretation. KFA therefore supplements FA and could be useful for evaluation of complex tissue arrangements. The KFA proxy is strongly correlated to true KFA when sampling is performed along at least nine directions and SNR is high. |
format | Online Article Text |
id | pubmed-4819179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48191792016-04-06 Kurtosis fractional anisotropy, its contrast and estimation by proxy Hansen, Brian Jespersen, Sune Nørhøj Sci Rep Article The diffusion kurtosis observed with diffusion magnetic resonance imaging (dMRI) may vary with direction. This directional variation is summarized in the scalar kurtosis fractional anisotropy (KFA). Recent studies suggest that kurtosis anisotropy offers microstructural contrast not contained in other commonly used dMRI markers. We compare KFA to other dMRI contrasts in fixed rat brain and in human brain. We then investigate the observed contrast differences using data obtained in a physical phantom and simulations based on data from the phantom, rat spinal cord, and human brain. Lastly, we assess a strategy for rapid estimation of a computationally modest KFA proxy by evaluating its correlation to true KFA for varying number of sampling directions and signal-to-noise ratio (SNR) levels. We also map this proxy’s b-value dependency. We find that KFA supplements the contrast of other dMRI metrics – particularly fractional anisotropy (FA) which vanishes in near orthogonal fiber arrangements where KFA does not. Simulations and phantom data support this interpretation. KFA therefore supplements FA and could be useful for evaluation of complex tissue arrangements. The KFA proxy is strongly correlated to true KFA when sampling is performed along at least nine directions and SNR is high. Nature Publishing Group 2016-04-04 /pmc/articles/PMC4819179/ /pubmed/27041679 http://dx.doi.org/10.1038/srep23999 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Hansen, Brian Jespersen, Sune Nørhøj Kurtosis fractional anisotropy, its contrast and estimation by proxy |
title | Kurtosis fractional anisotropy, its contrast and estimation by proxy |
title_full | Kurtosis fractional anisotropy, its contrast and estimation by proxy |
title_fullStr | Kurtosis fractional anisotropy, its contrast and estimation by proxy |
title_full_unstemmed | Kurtosis fractional anisotropy, its contrast and estimation by proxy |
title_short | Kurtosis fractional anisotropy, its contrast and estimation by proxy |
title_sort | kurtosis fractional anisotropy, its contrast and estimation by proxy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819179/ https://www.ncbi.nlm.nih.gov/pubmed/27041679 http://dx.doi.org/10.1038/srep23999 |
work_keys_str_mv | AT hansenbrian kurtosisfractionalanisotropyitscontrastandestimationbyproxy AT jespersensunenørhøj kurtosisfractionalanisotropyitscontrastandestimationbyproxy |