S. Shahrampour, Benjamin De Leener, M. Alizadeh, D. Middleton, L. Krisa, A.E. Flanders, S.H. Faro, Julien Cohen-Adad and F.B. Mohamed
Article (2021)
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Abstract
BACKGROUND AND PURPOSE: Multi-parametric MRI, provides a variety of biomarkers sensitive to white matter integrity, However, spinal cord MRI data in pediatrics is rare compared to adults. The purpose of this work was 3-fold: 1) to develop a processing pipeline for atlasbased generation of the typically developing pediatric spinal cord WM tracts, 2) to derive atlas-based normative values of the DTI indices for various WM pathways, and 3) to investigate age-related changes in the obtained normative DTI indices along the extracted tracts. MATERIALS AND METHODS: DTI scans of 30 typically developing subjects (age range, 6–16 years) were acquired on a 3T MR imaging scanner. The data were registered to the PAM50 template in the Spinal Cord Toolbox. Next, the DTI indices for various WM regions were extracted at a single section centered at the C3 vertebral body in all the 30 subjects. Finally, an ANOVA test was performed to examine the effects of the following: 1) laterality, 2) functionality, and 3) age, with DTI-derived indices in 34 extracted WM regions. RESULTS: A postprocessing pipeline was developed and validated to delineate pediatric spinal cord WM tracts. The results of ANOVA on fractional anisotropy values showed no effect for laterality (P ¼ .72) but an effect for functionality (P , .001) when comparing the 30 primary WM labels. There was a significant (P , .05) effect of age and maturity of the left spinothalamic tract on mean diffusivity, radial diffusivity, and axial diffusivity values. CONCLUSIONS: The proposed automated pipeline in this study incorporates unique postprocessing steps followed by template registration and quantification of DTI metrics using atlas-based regions. This method eliminates the need for manual ROI analysis of WM tracts and, therefore, increases the accuracy and speed of the measurements.
Subjects: |
1900 Biomedical engineering > 1900 Biomedical engineering 1900 Biomedical engineering > 1901 Biomedical technology |
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Department: |
Department of Computer Engineering and Software Engineering Institut de génie biomédical |
Research Center: | NeuroPoly - Laboratoire de Recherche en Neuroimagerie |
Funders: | National Institutes of Health - National Institute of Neurological Disorders |
Grant number: | R01NS079635, R01NS111113 |
PolyPublie URL: | https://publications.polymtl.ca/9363/ |
Journal Title: | American Journal of Neuroradiology (vol. 42, no. 9) |
Publisher: | American Society of Neuroradiology |
DOI: | 10.3174/ajnr.a7221 |
Official URL: | https://doi.org/10.3174/ajnr.a7221 |
Date Deposited: | 11 Aug 2022 13:40 |
Last Modified: | 06 Oct 2024 07:09 |
Cite in APA 7: | Shahrampour, S., De Leener, B., Alizadeh, M., Middleton, D., Krisa, L., Flanders, A.E., Faro, S.H., Cohen-Adad, J., & Mohamed, F.B. (2021). Atlas-based quantification of DTI measures in a typically developing pediatric spinal cord. American Journal of Neuroradiology, 42(9), 1727-1734. https://doi.org/10.3174/ajnr.a7221 |
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