Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
363-04-009 ISMRM Abstract

Morphometric Analysis of the Pediatric Spinal Cord: Cross-Sectional Area, Rootlet anatomy, and Gray Matter Distribution

Accepted
Samuelle St-Onge 1,2, Katerina Krejci1,3, Jan Valosek1,4, Zahra Sadeghi Adl5, Laura Krisa5,6, Devon Middleton5, Feroze Mohamed5, Julien Cohen-Adad1,2,7,8, Benjamin De Leener1,2,9
1NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
2Centre de recherche du CHU Sainte-Justine, Montréal, Canada
3Department of Biomedical Engineering, FEEC, Brno University of Technology, Brno, Czechia, Czech Republic
4Department of Neurosurgery, Faculty of Medicine and Dentistry, Palacký University Olomouc, Olomouc, Czechia, Czech Republic
5Jefferson Integrated Magnetic Resonance Imaging Center, Department of Radiology, Thomas Jefferson University, Philadelphia, United States of America
6Department of Occupational Therapy, Thomas Jefferson University, Philadelphia, United States of America
7Mila - Quebec AI Institute, Montreal, Canada
8Functional Neuroimaging Unit, Montreal, Canada
9Department of Computer Engineering and Software Engineering, Polytechnique Montréal, Montréal, Canada
Presenting Author: Samuelle St-Onge

Synopsis

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References

1. Barakat N, Mohamed FB, Hunter LN, et al. Diffusion Tensor Imaging of the Normal Pediatric Spinal Cord Using an Inner Field of View Echo-Planar Imaging Sequence. AJNR Am J Neuroradiol. 2012;33(6):1127-1133. doi:10.3174/ajnr.A2924 [doi]
2. Saksena S, Middleton DM, Krisa L, et al. Diffusion Tensor Imaging of the Normal Cervical and Thoracic Pediatric Spinal Cord. AJNR Am J Neuroradiol. 2016;37(11):2150-2157. doi:10.3174/ajnr.A4883 [doi]
3. Papinutto N, Cordano C, Asteggiano C, et al. MRI measurement of upper cervical spinal cord cross-sectional area in children. J Neuroimaging Off J Am Soc Neuroimaging. 2020;30(5):598-602. doi:10.1111/jon.12758 [doi]
4. Osorio M, Reyes MR, Massagli TL. Pediatric Spinal Cord Injury. Curr Phys Med Rehabil Rep. 2014;2(3):158-168. doi:10.1007/s40141-014-0054-1 [doi]
5. Valošek J, Bédard S, Keřkovský M, Rohan T, Cohen-Adad J. A database of the healthy human spinal cord morphometry in the PAM50 template space. Imaging Neurosci. 2024;2:1-15. doi:10.1162/imag_a_00075 [doi]
6. De Leener B, Lévy S, Dupont SM, et al. SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data. NeuroImage. 2017;145:24-43. doi:10.1016/j.neuroimage.2016.10.009 [doi]
7. Bédard, S., Karthik, E. N., Tsagkas, C., Pravatà, E., Granziera, C., Smith, A., Weber II, K. A., & Cohen-Adad, J. (2025). Towards contrast-agnostic soft segmentation of the spinal cord. Medical Image Analysis, 101, 103473. https://doi.org/10.1016/j.media.2025.103473 [doi]
8. Warszawer Y, Molinier N, Valošek J, et al. TotalSpineSeg: Robust Segmentation and Labeling of Vertebrae, Intervertebral Discs, Spinal Cord, and Spinal Canal in MRI Images Using nnU-Net and Iterative Algorithm. In: 2025. doi:10.5281/zenodo.13894354 [doi]
9. Valošek J, Mathieu T, Schlienger R, Kowalczyk OS, Cohen-Adad J. Automatic segmentation of the spinal cord nerve rootlets. Imaging Neurosci. 2024;2:1-14. doi:10.1162/imag_a_00218 [doi]
10. Krejci K, Chmelik J, Bédard S, et al. RootletSeg: Deep learning method for spinal rootlets segmentation across MRI contrasts. arXiv. Preprint posted online September 17, 2025. doi:10.48550/arXiv.2509.16255 [doi]
11. Medina NJL, Gros C, Cohen-Adad J, Callot V, Troter AL. 2D Multi-Class Model for Gray and White Matter Segmentation of the Cervical Spinal Cord at 7T. arXiv. Preprint posted online October 13, 2021. doi:10.48550/arXiv.2110.06516 [doi]
12. De Leener B, Fonov VS, Collins DL, Callot V, Stikov N, Cohen-Adad J. PAM50: Unbiased multimodal template of the brainstem and spinal cord aligned with the ICBM152 space. NeuroImage. 2018;165:170-179. doi:10.1016/j.neuroimage.2017.10.041 [doi]

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