ArticleInternational journal of biomedical imaging2014
Automatic labeling of vertebral levels using a robust template-based approach.
Article in International journal of biomedical imaging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.
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Who cites it
41 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.
- On computerized methods for spine analysis in MRI: a systematic review.International journal of computer assisted radiology and surgery · 2016Pooled it
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- Early and Progressive Spinal Cord Atrophy in Spinocerebellar Ataxia Type 1.Movement disorders : official journal of the Movement Disorder Society · 2026Article
- Upper Cervical Cord Area as a Biomarker of Conversion to Secondary Progressive Multiple Sclerosis.Annals of clinical and translational neurology · 2026Article
- Segmentation of spinal rootlets across MRI contrasts with RootletSeg.Scientific reports · 2026Article
- Quantitative assessment of asymptomatic spinal cord compression using MRI: a multi-center study.GeroScience · 2025Article
- Spinal cord structural changes in SPG4: insights from a large cohort using advanced neuroimaging.Journal of neurology · 2025Article
- Length relationships between vertebral column and spinal cord: differential contributions of the cervical, thoracic and lumbosacral regions.Surgical and radiologic anatomy : SRA · 2025Article
- Structural brain changes contributing to motor signs in pure hereditary spastic paraplegia type 4.Journal of neurology · 2025Article
- Semiautomated Pipeline Effectively Assesses Severity and Monitor Disease Progression in Compressed Spinal Cord of Degenerative Cervical Myelopathy Patients.Neurosurgery practice · 2025Article
- Rootlets-based registration to the PAM50 spinal cord template.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Characterization of neurite and soma organization in the brain and spinal cord with diffusion MRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Mapping hand function with simultaneous brain-spinal cord functional MRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- SynSpine: an automated workflow for the generation of longitudinal spinal cord synthetic MRI data.Frontiers in neuroinformatics · 2025Article
- Fully-automated estimation of upper cervical cord cross-sectional area using pontomedullary junction referencing in multiple sclerosis.Frontiers in neuroimaging · 2025Article
- Longitudinal reproducibility of brain and spinal cord quantitative MRI biomarkers.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Spinal cord demyelination predicts neurological deterioration in patients with mild degenerative cervical myelopathy.BMJ neurology open · 2025Article
- Tract-specific spinal damage in SCA2, SCA3 and SCA6.Journal of neurology · 2024Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Context. MRI of the spinal cord provides a variety of biomarkers sensitive to white matter integrity and neuronal function. Current processing methods are based on manual labeling of vertebral levels, which is time consuming and prone to user bias. Although several methods for automatic labeling have been published; they are not robust towards image contrast or towards susceptibility-related artifacts. Methods. Intervertebral disks are detected from the 3D analysis of the intensity profile along the spine. The robustness of the disk detection is improved by using a template of vertebral distance, which was generated from a training dataset. The developed method has been validated using T1- and T2-weighted contrasts in ten healthy subjects and one patient with spinal cord injury. Results. Accuracy of vertebral labeling was 100%. Mean absolute error was 2.1 ± 1.7 mm for T2-weighted images and 2.3 ± 1.6 mm for T1-weighted images. The vertebrae of the spinal cord injured patient were correctly labeled, despite the presence of artifacts caused by metallic implants. Discussion. We proposed a template-based method for robust labeling of vertebral levels along the whole spinal cord for T1- and T2-weighted contrasts. The method is freely available as part of the spinal cord toolbox.
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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.