Reproducible Spinal Cord Quantitative MRI Analysis with the Spinal Cord Toolbox
- PMID: 38479843
- PMCID: PMC11234946
- DOI: 10.2463/mrms.rev.2023-0159
Reproducible Spinal Cord Quantitative MRI Analysis with the Spinal Cord Toolbox
Abstract
The spinal cord plays a pivotal role in the central nervous system, providing communication between the brain and the body and containing critical motor and sensory networks. Recent advancements in spinal cord MRI data acquisition and image analysis have shown a potential to improve the diagnostics, prognosis, and management of a variety of pathological conditions. In this review, we first discuss the significance of standardized spinal cord MRI acquisition protocol in multi-center and multi-manufacturer studies. Then, we cover open-access spinal cord MRI datasets, which are important for reproducible science and validation of new methods. Finally, we elaborate on the recent advances in spinal cord MRI data analysis techniques implemented in the open-source software package Spinal Cord Toolbox (SCT).
Keywords: quantitative magnetic resonance imaging; reproducibility; spinal cord; spinal cord toolbox.
Conflict of interest statement
The authors declare that they have no conflicts of interest.
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References
-
- Cohen-Adad J, Wheeler-Kingshott C. Quantitative MRI of the spinal cord. 2014:1–311.
-
- Freund P, Seif M, Weiskopf N, et al. MRI in traumatic spinal cord injury: From clinical assessment to neuroimaging biomarkers. Lancet Neurol 2019; 18: pp. 1123–1135. - PubMed
-
- Badhiwala JH, Ahuja CS, Akbar MA, et al. Degenerative cervical myelopathy — update and future directions. Nat Rev Neurol 2020; 16:108–124. - PubMed