Identification of neonatal white matter on DTI: influence of more inclusive thresholds for atlas segmentation.

PURPOSE:Semi-automated diffusion tensor imaging (DTI) analysis of white matter (WM) microstructure offers a clinically feasible technique to assess neonatal brain development and provide early prognosis, but is limited by variable methods and insufficient evidence regarding optimal parameters. The p...

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Main Authors: Rachel L Vassar, Naama Barnea-Goraly, Jessica Rose
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4266649?pdf=render
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spelling doaj-b247b084db484c128eaec45d3e31c9b62020-11-25T01:25:35ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-01912e11542610.1371/journal.pone.0115426Identification of neonatal white matter on DTI: influence of more inclusive thresholds for atlas segmentation.Rachel L VassarNaama Barnea-GoralyJessica RosePURPOSE:Semi-automated diffusion tensor imaging (DTI) analysis of white matter (WM) microstructure offers a clinically feasible technique to assess neonatal brain development and provide early prognosis, but is limited by variable methods and insufficient evidence regarding optimal parameters. The purpose of this research was to investigate the influence of threshold values on semi-automated, atlas-based brain segmentation in very-low-birth-weight (VLBW) preterm infants at near-term age. MATERIALS AND METHODS:DTI scans were analyzed from 45 VLBW preterm neonates at near-term-age with no brain abnormalities evident on MRI. Brain regions were selected with a neonatal brain atlas and threshold values: trace <0.006 mm2/s, fractional anisotropy (FA)>0.15, FA>0.20, and FA>0.25. Relative regional volumes, FA, axial diffusivity (AD), and radial diffusivity (RD) were compared for twelve WM regions. RESULTS:Near-term brain regions demonstrated differential effects from segmentation with the three FA thresholds. Regional DTI values and volumes selected in the PLIC, CereP, and RLC varied the least with the application of different FA thresholds. Overall, application of higher FA thresholds significantly reduced brain region volume selected, increased variability, and resulted in higher FA and lower RD values. The lower threshold FA>0.15 selected 78±21% of original volumes segmented by the atlas, compared to 38±12% using threshold FA>0.25. CONCLUSION:Results indicate substantial and differential effects of atlas-based DTI threshold parameters on regional volume and diffusion scalars. A lower, more inclusive FA threshold than typically applied for adults is suggested for consistent analysis of WM regions in neonates.http://europepmc.org/articles/PMC4266649?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Rachel L Vassar
Naama Barnea-Goraly
Jessica Rose
spellingShingle Rachel L Vassar
Naama Barnea-Goraly
Jessica Rose
Identification of neonatal white matter on DTI: influence of more inclusive thresholds for atlas segmentation.
PLoS ONE
author_facet Rachel L Vassar
Naama Barnea-Goraly
Jessica Rose
author_sort Rachel L Vassar
title Identification of neonatal white matter on DTI: influence of more inclusive thresholds for atlas segmentation.
title_short Identification of neonatal white matter on DTI: influence of more inclusive thresholds for atlas segmentation.
title_full Identification of neonatal white matter on DTI: influence of more inclusive thresholds for atlas segmentation.
title_fullStr Identification of neonatal white matter on DTI: influence of more inclusive thresholds for atlas segmentation.
title_full_unstemmed Identification of neonatal white matter on DTI: influence of more inclusive thresholds for atlas segmentation.
title_sort identification of neonatal white matter on dti: influence of more inclusive thresholds for atlas segmentation.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description PURPOSE:Semi-automated diffusion tensor imaging (DTI) analysis of white matter (WM) microstructure offers a clinically feasible technique to assess neonatal brain development and provide early prognosis, but is limited by variable methods and insufficient evidence regarding optimal parameters. The purpose of this research was to investigate the influence of threshold values on semi-automated, atlas-based brain segmentation in very-low-birth-weight (VLBW) preterm infants at near-term age. MATERIALS AND METHODS:DTI scans were analyzed from 45 VLBW preterm neonates at near-term-age with no brain abnormalities evident on MRI. Brain regions were selected with a neonatal brain atlas and threshold values: trace <0.006 mm2/s, fractional anisotropy (FA)>0.15, FA>0.20, and FA>0.25. Relative regional volumes, FA, axial diffusivity (AD), and radial diffusivity (RD) were compared for twelve WM regions. RESULTS:Near-term brain regions demonstrated differential effects from segmentation with the three FA thresholds. Regional DTI values and volumes selected in the PLIC, CereP, and RLC varied the least with the application of different FA thresholds. Overall, application of higher FA thresholds significantly reduced brain region volume selected, increased variability, and resulted in higher FA and lower RD values. The lower threshold FA>0.15 selected 78±21% of original volumes segmented by the atlas, compared to 38±12% using threshold FA>0.25. CONCLUSION:Results indicate substantial and differential effects of atlas-based DTI threshold parameters on regional volume and diffusion scalars. A lower, more inclusive FA threshold than typically applied for adults is suggested for consistent analysis of WM regions in neonates.
url http://europepmc.org/articles/PMC4266649?pdf=render
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