Clinically Feasible Microstructural MRI to Quantify Cervical Spinal Cord Tissue Injury Using DTI, MT, and T2*-Weighted Imaging: Assessment of Normative Data and Reliability

A. R. Martin, Benjamin De Leener, Julien Cohen-Adad, David W. Cadotte, S. Kalsi-Ryan, S. F. Lange, Lindsay Tetreault, Aria Nouri, A. Crawley, D. J. Mikulis, H. Ginsberg and Michael G. Fehlings

Article (2017)

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Department:	Department of Electrical Engineering Department of Computer Engineering and Software Engineering
PolyPublie URL:	https://publications.polymtl.ca/38561/
Journal Title:	American Journal of Neuroradiology (vol. 38, no. 6)
DOI:	10.3174/ajnr.a5163
Official URL:	https://doi.org/10.3174/ajnr.a5163
Date Deposited:	18 Apr 2023 15:04
Last Modified:	08 Apr 2025 07:01

Cite in APA 7:

Martin, A. R., De Leener, B., Cohen-Adad, J., Cadotte, D. W., Kalsi-Ryan, S., Lange, S. F., Tetreault, L., Nouri, A., Crawley, A., Mikulis, D. J., Ginsberg, H., & Fehlings, M. G. (2017). Clinically Feasible Microstructural MRI to Quantify Cervical Spinal Cord Tissue Injury Using DTI, MT, and T2*-Weighted Imaging: Assessment of Normative Data and Reliability. American Journal of Neuroradiology, 38(6), 1257-1265. https://doi.org/10.3174/ajnr.a5163

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