Fully automated segmentation of the cervical cord from T1-weighted MRI using PropSeg: Application to multiple sclerosis

NeuroImage. Clinical
Marios C YiannakasClaudia A M Gandini Wheeler-Kingshott

Abstract

Spinal cord (SC) atrophy, i.e. a reduction in the SC cross-sectional area (CSA) over time, can be measured by means of image segmentation using magnetic resonance imaging (MRI). However, segmentation methods have been limited by factors relating to reproducibility or sensitivity to change. The purpose of this study was to evaluate a fully automated SC segmentation method (PropSeg), and compare this to a semi-automated active surface (AS) method, in healthy controls (HC) and people with multiple sclerosis (MS). MRI data from 120 people were retrospectively analysed; 26 HC, 21 with clinically isolated syndrome, 26 relapsing remitting MS, 26 primary and 21 secondary progressive MS. MRI data from 40 people returning after one year were also analysed. CSA measurements were obtained within the cervical SC. Reproducibility of the measurements was assessed using the intraclass correlation coefficient (ICC). A comparison between mean CSA changes obtained with the two methods over time was performed using multivariate structural equation regression models. Associations between CSA measures and clinical scores were investigated using linear regression models. Compared to the AS method, the reproducibility of CSA measurements obtained with...Continue Reading

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Citations

Jan 5, 2016·Magma·Benjamin De LeenerVirginie Callot
Jul 29, 2016·Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging·Tarun SinghalRohit Bakshi
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Sep 14, 2021·Frontiers in Cell and Developmental Biology·Santiago Beltran DiazAlberto Rosello-Diez

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Software Mentioned

Stata
PropSeg
PropSeg Toolbox
AS

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