ArticleScientific reports2016
Fully automated grey and white matter spinal cord segmentation.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Automated Segmentation of Tissues Using CT and MRI: A Systematic Review.Academic radiology · 2019Pooled it
- Fractal-Based Architectures with Skip Connections and Attention Mechanism for Improved Segmentation of MS Lesions in Cervical Spinal Cord.Diagnostics (Basel, Switzerland) · 2025Article
- Evaluation of magnetic resonance spectroscopy total sodium concentration measures, and associations with microstructure and physical impairment in cervical myelopathy.Scientific reports · 2025Article
- Optimization of cervical cord atrophy measurement using a real-world, multicentre dataset in multiple sclerosis.Frontiers in neurology · 2025Article
- Article
- Deep Learning-Based Auto-Segmentation of Spinal Cord Internal Structure of Diffusion Tensor Imaging in Cervical Spondylotic Myelopathy.Diagnostics (Basel, Switzerland) · 2023Article
- Fully Automatic Method for Reliable Spinal Cord Compartment Segmentation in Multiple Sclerosis.AJNR. American journal of neuroradiology · 2023Article
- Spinal Cord Atrophy Predicts Progressive Disease in Relapsing Multiple Sclerosis.Annals of neurology · 2022Observational
- Tools for efficient analysis of neurons in a 3D reference atlas of whole mouse spinal cord.Cell reports methods · 2021Article
- Atlas-Based Quantification of DTI Measures in a Typically Developing Pediatric Spinal Cord.AJNR. American journal of neuroradiology · 2021Article
- Normalization of Spinal Cord Total Cross-Sectional and Gray Matter Areas as Quantified With Radially Sampled Averaged Magnetization Inversion Recovery Acquisitions.Frontiers in neurology · 2021Article
- Quantification of Cervical Cord Cross-Sectional Area: Which Acquisition, Vertebra Level, and Analysis Software? A Multicenter Repeatability Study on a Traveling Healthy Volunteer.Frontiers in neurology · 2021Article
- Pilot Study on Quantitative Cervical Cord and Muscular MRI in Spinal Muscular Atrophy: Promising Biomarkers of Disease Evolution and Treatment?Frontiers in neurology · 2021Article
- Sensitivity of the Inhomogeneous Magnetization Transfer Imaging Technique to Spinal Cord Damage in Multiple Sclerosis.AJNR. American journal of neuroradiology · 2020Article
- Unsuspected Involvement of Spinal Cord in Alzheimer Disease.Frontiers in cellular neuroscience · 2020Article
- Automatic Spinal Cord Gray Matter Quantification: A Novel Approach.AJNR. American journal of neuroradiology · 2019Article
- Multiple sclerosis lesions affect intrinsic functional connectivity of the spinal cord.Brain : a journal of neurology · 2018Article
- Future Brain and Spinal Cord Volumetric Imaging in the Clinic for Monitoring Treatment Response in MS.Current treatment options in neurology · 2018Review
- Spinal cord gray matter segmentation using deep dilated convolutions.Scientific reports · 2018Article
- Imaging outcome measures for progressive multiple sclerosis trials.Multiple sclerosis (Houndmills, Basingstoke, England) · 2017Review
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Axonal loss in the spinal cord is one of the main contributing factors to irreversible clinical disability in multiple sclerosis (MS). In vivo axonal loss can be assessed indirectly by estimating a reduction in the cervical cross-sectional area (CSA) of the spinal cord over time, which is indicative of spinal cord atrophy, and such a measure may be obtained by means of image segmentation using magnetic resonance imaging (MRI). In this work, we propose a new fully automated spinal cord segmentation technique that incorporates two different multi-atlas segmentation propagation and fusion techniques: The Optimized PatchMatch Label fusion (OPAL) algorithm for localising and approximately segmenting the spinal cord, and the Similarity and Truth Estimation for Propagated Segmentations (STEPS) algorithm for segmenting white and grey matter simultaneously. In a retrospective analysis of MRI data, the proposed method facilitated CSA measurements with accuracy equivalent to the inter-rater variability, with a Dice score (DSC) of 0.967 at C2/C3 level. The segmentation performance for grey matter at C2/C3 level was close to inter-rater variability, reaching an accuracy (DSC) of 0.826 for healthy subjects and 0.835 people with clinically isolated syndrome MS.
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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.