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Empirical Comparison of Diffusion Kurtosis Imaging and Diffusion Basis Spectrum Imaging Using the Same Acquisition in Healthy Young Adults

As diffusion tensor imaging gains widespread use, many researchers have been motivated to go beyond the tensor model and fit more complex diffusion models, to gain a more complete description of white matter microstructure and associated pathology. Two such models are diffusion kurtosis imaging (DKI...

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Autores principales: Wang, Sijia, Peterson, Daniel J., Wang, Yong, Wang, Qing, Grabowski, Thomas J., Li, Wenbin, Madhyastha, Tara M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5372828/
https://www.ncbi.nlm.nih.gov/pubmed/28424656
http://dx.doi.org/10.3389/fneur.2017.00118
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author Wang, Sijia
Peterson, Daniel J.
Wang, Yong
Wang, Qing
Grabowski, Thomas J.
Li, Wenbin
Madhyastha, Tara M.
author_facet Wang, Sijia
Peterson, Daniel J.
Wang, Yong
Wang, Qing
Grabowski, Thomas J.
Li, Wenbin
Madhyastha, Tara M.
author_sort Wang, Sijia
collection PubMed
description As diffusion tensor imaging gains widespread use, many researchers have been motivated to go beyond the tensor model and fit more complex diffusion models, to gain a more complete description of white matter microstructure and associated pathology. Two such models are diffusion kurtosis imaging (DKI) and diffusion basis spectrum imaging (DBSI). It is not clear which DKI parameters are most closely related to DBSI parameters, so in the interest of enabling comparisons between DKI and DBSI studies, we conducted an empirical survey of the interrelation of these models in 12 healthy volunteers using the same diffusion acquisition. We found that mean kurtosis is positively associated with the DBSI fiber ratio and negatively associated with the hindered ratio. This was primarily driven by the radial component of kurtosis. The axial component of kurtosis was strongly and specifically correlated with the restricted ratio. The joint spatial distributions of DBSI and DKI parameters are tissue-dependent and stable across healthy individuals. Our contribution is a better understanding of the biological interpretability of the parameters generated by the two models in healthy individuals.
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spelling pubmed-53728282017-04-19 Empirical Comparison of Diffusion Kurtosis Imaging and Diffusion Basis Spectrum Imaging Using the Same Acquisition in Healthy Young Adults Wang, Sijia Peterson, Daniel J. Wang, Yong Wang, Qing Grabowski, Thomas J. Li, Wenbin Madhyastha, Tara M. Front Neurol Neuroscience As diffusion tensor imaging gains widespread use, many researchers have been motivated to go beyond the tensor model and fit more complex diffusion models, to gain a more complete description of white matter microstructure and associated pathology. Two such models are diffusion kurtosis imaging (DKI) and diffusion basis spectrum imaging (DBSI). It is not clear which DKI parameters are most closely related to DBSI parameters, so in the interest of enabling comparisons between DKI and DBSI studies, we conducted an empirical survey of the interrelation of these models in 12 healthy volunteers using the same diffusion acquisition. We found that mean kurtosis is positively associated with the DBSI fiber ratio and negatively associated with the hindered ratio. This was primarily driven by the radial component of kurtosis. The axial component of kurtosis was strongly and specifically correlated with the restricted ratio. The joint spatial distributions of DBSI and DKI parameters are tissue-dependent and stable across healthy individuals. Our contribution is a better understanding of the biological interpretability of the parameters generated by the two models in healthy individuals. Frontiers Media S.A. 2017-03-29 /pmc/articles/PMC5372828/ /pubmed/28424656 http://dx.doi.org/10.3389/fneur.2017.00118 Text en Copyright © 2017 Wang, Peterson, Wang, Wang, Grabowski, Li and Madhyastha. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Wang, Sijia
Peterson, Daniel J.
Wang, Yong
Wang, Qing
Grabowski, Thomas J.
Li, Wenbin
Madhyastha, Tara M.
Empirical Comparison of Diffusion Kurtosis Imaging and Diffusion Basis Spectrum Imaging Using the Same Acquisition in Healthy Young Adults
title Empirical Comparison of Diffusion Kurtosis Imaging and Diffusion Basis Spectrum Imaging Using the Same Acquisition in Healthy Young Adults
title_full Empirical Comparison of Diffusion Kurtosis Imaging and Diffusion Basis Spectrum Imaging Using the Same Acquisition in Healthy Young Adults
title_fullStr Empirical Comparison of Diffusion Kurtosis Imaging and Diffusion Basis Spectrum Imaging Using the Same Acquisition in Healthy Young Adults
title_full_unstemmed Empirical Comparison of Diffusion Kurtosis Imaging and Diffusion Basis Spectrum Imaging Using the Same Acquisition in Healthy Young Adults
title_short Empirical Comparison of Diffusion Kurtosis Imaging and Diffusion Basis Spectrum Imaging Using the Same Acquisition in Healthy Young Adults
title_sort empirical comparison of diffusion kurtosis imaging and diffusion basis spectrum imaging using the same acquisition in healthy young adults
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5372828/
https://www.ncbi.nlm.nih.gov/pubmed/28424656
http://dx.doi.org/10.3389/fneur.2017.00118
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