A database of the healthy human spinal cord morphometry in the PAM50 template space
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14110%2F24%3A00139956" target="_blank" >RIV/00216224:14110/24:00139956 - isvavai.cz</a>
Result on the web
<a href="https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00075/119044/A-database-of-the-healthy-human-spinal-cord" target="_blank" >https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00075/119044/A-database-of-the-healthy-human-spinal-cord</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1162/imag_a_00075" target="_blank" >10.1162/imag_a_00075</a>
Alternative languages
Result language
angličtina
Original language name
A database of the healthy human spinal cord morphometry in the PAM50 template space
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
30210 - Clinical neurology
Result continuities
Project
<a href="/en/project/NU22-04-00024" target="_blank" >NU22-04-00024: Quantitative magnetic resonance imaging parameters as predictors of outcome of non-myelopathic degenerative cervical cord compression: a longitudinal study</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Imaging Neuroscience
ISSN
2837-6056
e-ISSN
2837-6056
Volume of the periodical
2
Issue of the periodical within the volume
2024
Country of publishing house
US - UNITED STATES
Number of pages
15
Pages from-to
1-15
UT code for WoS article
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EID of the result in the Scopus database
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