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The impact of susceptibility correction on diffusion metrics in adolescents

BACKGROUND: Diffusion tensor imaging is a widely used imaging method of brain white matter, but it is prone to imaging artifacts. The data corrections can affect the measured values. OBJECTIVE: To explore the impact of susceptibility correction on diffusion metrics. MATERIALS AND METHODS: A cohort o...

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Autores principales: Lahti, Katri, Parkkola, Riitta, Jääsaari, Päivi, Haataja, Leena, Saunavaara, Virva
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8266789/
https://www.ncbi.nlm.nih.gov/pubmed/33893847
http://dx.doi.org/10.1007/s00247-021-05000-3
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author Lahti, Katri
Parkkola, Riitta
Jääsaari, Päivi
Haataja, Leena
Saunavaara, Virva
author_facet Lahti, Katri
Parkkola, Riitta
Jääsaari, Päivi
Haataja, Leena
Saunavaara, Virva
author_sort Lahti, Katri
collection PubMed
description BACKGROUND: Diffusion tensor imaging is a widely used imaging method of brain white matter, but it is prone to imaging artifacts. The data corrections can affect the measured values. OBJECTIVE: To explore the impact of susceptibility correction on diffusion metrics. MATERIALS AND METHODS: A cohort of 27 healthy adolescents (18 boys, 9 girls, mean age 12.7 years) underwent 3-T MRI, and we collected two diffusion data sets (anterior–posterior). The data were processed both with and without susceptibility artifact correction. We derived fractional anisotropy, mean diffusivity and histogram data of fiber length distribution from both the corrected and uncorrected data, which were collected from the corpus callosum, corticospinal tract and cingulum bilaterally. RESULTS: Fractional anisotropy and mean diffusivity values significantly differed when comparing the pathways in all measured tracts. The fractional anisotropy values were lower and the mean diffusivity values higher in the susceptibility-corrected data than in the uncorrected data. We found a significant difference in total tract length in the corpus callosum and the corticospinal tract. CONCLUSION: This study indicates that susceptibility correction has a significant effect on measured fractional anisotropy, and on mean diffusivity values and tract lengths. To receive reliable and comparable results, the correction should be used systematically.
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spelling pubmed-82667892021-07-20 The impact of susceptibility correction on diffusion metrics in adolescents Lahti, Katri Parkkola, Riitta Jääsaari, Päivi Haataja, Leena Saunavaara, Virva Pediatr Radiol Original Article BACKGROUND: Diffusion tensor imaging is a widely used imaging method of brain white matter, but it is prone to imaging artifacts. The data corrections can affect the measured values. OBJECTIVE: To explore the impact of susceptibility correction on diffusion metrics. MATERIALS AND METHODS: A cohort of 27 healthy adolescents (18 boys, 9 girls, mean age 12.7 years) underwent 3-T MRI, and we collected two diffusion data sets (anterior–posterior). The data were processed both with and without susceptibility artifact correction. We derived fractional anisotropy, mean diffusivity and histogram data of fiber length distribution from both the corrected and uncorrected data, which were collected from the corpus callosum, corticospinal tract and cingulum bilaterally. RESULTS: Fractional anisotropy and mean diffusivity values significantly differed when comparing the pathways in all measured tracts. The fractional anisotropy values were lower and the mean diffusivity values higher in the susceptibility-corrected data than in the uncorrected data. We found a significant difference in total tract length in the corpus callosum and the corticospinal tract. CONCLUSION: This study indicates that susceptibility correction has a significant effect on measured fractional anisotropy, and on mean diffusivity values and tract lengths. To receive reliable and comparable results, the correction should be used systematically. Springer Berlin Heidelberg 2021-04-24 2021 /pmc/articles/PMC8266789/ /pubmed/33893847 http://dx.doi.org/10.1007/s00247-021-05000-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Lahti, Katri
Parkkola, Riitta
Jääsaari, Päivi
Haataja, Leena
Saunavaara, Virva
The impact of susceptibility correction on diffusion metrics in adolescents
title The impact of susceptibility correction on diffusion metrics in adolescents
title_full The impact of susceptibility correction on diffusion metrics in adolescents
title_fullStr The impact of susceptibility correction on diffusion metrics in adolescents
title_full_unstemmed The impact of susceptibility correction on diffusion metrics in adolescents
title_short The impact of susceptibility correction on diffusion metrics in adolescents
title_sort impact of susceptibility correction on diffusion metrics in adolescents
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8266789/
https://www.ncbi.nlm.nih.gov/pubmed/33893847
http://dx.doi.org/10.1007/s00247-021-05000-3
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