ArticleImaging neuroscience (Cambridge, Mass.)2024
Automatic segmentation of the spinal cord nerve rootlets.
Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Spinal cord imaging in multiple sclerosis: A vital component we can no longer overlook.Multiple sclerosis (Houndmills, Basingstoke, England) · 2026Pooled it
- Test-Retest Reliability of Sensorimotor Activity Measured With Spinal Cord fMRI.Human brain mapping · 2026Article
- Charting Cervical Spinal Cord Morphometry Across the Lifespan.bioRxiv : the preprint server for biology · 2026Article
- Segmentation of spinal rootlets across MRI contrasts with RootletSeg.Scientific reports · 2026Article
- Spinal cord involvement and cardiovascular autonomic dysfunction in Parkinson's disease.Scientific reports · 2026Article
- Spatial distribution of spinal cord fMRI activity with electrocutaneous stimulation.medRxiv : the preprint server for health sciences · 2026Article
- Spatial distribution of spinal cord fMRI activity with electrocutaneous stimulation.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- A novel workflow for 3D imaging and spatial analysis of nerves in bone.Bone reports · 2025Article
- SpIC3D imaging for spinal in situ contrast 3D visualization.Cell reports methods · 2025Article
- Mapping Human Proprioceptive Projections of Upper Limb Muscles Through Spinal Cord fMRI.Human brain mapping · 2025Article
- Magnetization transfer MRI (MT-MRI) detects white matter damage beyond the primary site of compression in degenerative cervical myelopathy using a novel semi-automated analysis.Computers in biology and medicine · 2025Article
- Length relationships between vertebral column and spinal cord: differential contributions of the cervical, thoracic and lumbosacral regions.Surgical and radiologic anatomy : SRA · 2025Article
- Mapping hand function with simultaneous brain-spinal cord functional MRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Rootlets-based registration to the PAM50 spinal cord template.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Technological Advancements in Augmented, Mixed, and Virtual Reality Technologies for Surgery: A Systematic Review.Cureus · 2024Review
- Reproducible Spinal Cord Quantitative MRI Analysis with the Spinal Cord Toolbox.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precise identification of spinal nerve rootlets is relevant to delineate spinal levels for the study of functional activity in the spinal cord. The goal of this study was to develop an automatic method for the semantic segmentation of spinal nerve rootlets from T2-weighted magnetic resonance imaging (MRI) scans. Images from two open-access 3T MRI datasets were used to train a 3D multi-class convolutional neural network using an active learning approach to segment C2-C8 dorsal nerve rootlets. Each output class corresponds to a spinal level. The method was tested on 3T T2-weighted images from three datasets unseen during training to assess inter-site, inter-session, and inter-resolution variability. The test Dice score was 0.67 ± 0.16 (mean ± standard deviation across testing images and rootlets levels), suggesting a good performance. The method also demonstrated low inter-vendor and inter-site variability (coefficient of variation ≤ 1.41%), as well as low inter-session variability (coefficient of variation ≤ 1.30%), indicating stable predictions across different MRI vendors, sites, and sessions. The proposed methodology is open-source and readily available in the Spinal Cord Toolbox (SCT) v6.2 and higher.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.