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Reproducible Spinal Cord Quantitative MRI Analysis with the Spinal Cord Toolbox.
Valosek, Jan; Cohen-Adad, Julien.
Affiliation
  • Valosek J; NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.
  • Cohen-Adad J; Mila - Quebec AI Institute, Montreal, QC, Canada.
Magn Reson Med Sci ; 23(3): 307-315, 2024 Jul 01.
Article in En | MEDLINE | ID: mdl-38479843
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).
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spinal Cord / Software / Magnetic Resonance Imaging Limits: Humans Language: En Journal: Magn Reson Med Sci Journal subject: DIAGNOSTICO POR IMAGEM Year: 2024 Document type: Article Affiliation country: Canada Country of publication: Japan

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spinal Cord / Software / Magnetic Resonance Imaging Limits: Humans Language: En Journal: Magn Reson Med Sci Journal subject: DIAGNOSTICO POR IMAGEM Year: 2024 Document type: Article Affiliation country: Canada Country of publication: Japan