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A database of the healthy human spinal cord morphometry in the PAM50 template space

Jan Valošek, Sandrine Bédard, Miloš Keřkovský, Tomáš Rohan and Julien Cohen-Adad

Article (2024)

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Abstract

Measures of spinal cord morphometry computed from magnetic resonance images serve as relevant prognostic biomarkers for a range of spinal cord pathologies, including traumatic and non-traumatic spinal cord injury and neurodegenerative diseases. However, interpreting these imaging biomarkers is difficult due to considerable intra- and inter-subject variability. Yet, there is no clear consensus on a normalization method that would help reduce this variability and more insights into the distribution of these morphometrics are needed. In this study, we computed a database of normative values for six commonly used measures of spinal cord morphometry: cross-sectional area, anteroposterior diameter, transverse diameter, compression ratio, eccentricity, and solidity. Normative values were computed from a large open-access dataset of healthy adult volunteers (N = 203) and were brought to the common space of the PAM50 spinal cord template using a newly proposed normalization method based on linear interpolation. Compared to traditional image-based registration, the proposed normalization approach does not involve image transformations and, therefore, does not introduce distortions of spinal cord anatomy. This is a crucial consideration in preserving the integrity of the spinal cord anatomy in conditions such as spinal cord injury. This new morphometric database allows researchers to normalize based on sex and age, thereby minimizing inter-subject variability associated with demographic and biological factors. The proposed methodology is open-source and accessible through the Spinal Cord Toolbox (SCT) v6.0 and higher.

Uncontrolled Keywords

spinal cord; morphometric measures; normalization; normative values

Subjects: 1900 Biomedical engineering > 1900 Biomedical engineering
1900 Biomedical engineering > 1901 Biomedical technology
Department: Institut de génie biomédical
Research Center: NeuroPoly - Laboratoire de Recherche en Neuroimagerie
Funders: NSERC / CRSNG, Canadian Institute of Health Research, Canada Foundation for Innovation, Fonds de Recherche du Québec - Santé, Canada Research Chair in Quantitative Magnetic Resonance Imaging, Canada First Research Excellence Fund (IVADO and TransMedTech), Courtois NeuroMod project, Quebec BioImaging Network, INSPIRED (Spinal Research - UK), Wings for Life - Austria, Craig H. Neilsen Foundation (USA), Mila - Tech Transfer Funding Program, Ministry of Health of the Czech Republic, Marie Skłodowska-Curie - European Union’s Horizon Europe research and innovation programme
Grant number: CRC2020-00179, PJT-190258, 32454, 34824, 322736, [RGPIN-2019-07244, 5886, 35450, NU22-04-00024, 101107932
PolyPublie URL: https://publications.polymtl.ca/57330/
Journal Title: Imaging Neuroscience (vol. 2)
Publisher: The MIT Press
DOI: 10.1162/imag_a_00075
Official URL: https://doi.org/10.1162/imag_a_00075
Date Deposited: 26 Feb 2024 13:12
Last Modified: 06 Apr 2024 09:41
Cite in APA 7: Valošek, J., Bédard, S., Keřkovský, M., Rohan, T., & Cohen-Adad, J. (2024). A database of the healthy human spinal cord morphometry in the PAM50 template space. Imaging Neuroscience, 2, 15 pages. https://doi.org/10.1162/imag_a_00075

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