Abstract #2397

Diffusion Tensor imaging assessment for the spinal cord injury using 9.4 Tesla

Abdullah Ali Asiri^1,2, Mohammed Alnasser³, Saied Alamri⁴, Chantelle Reid⁵, Marc Ruitenberg⁵, and Nyoman Kurniawan¹

¹Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia, ²Radiology department, College of applied medical sciences, Najran University, Najran, Saudi Arabia, ³Radiology Department, King Fahad Medical City, Ministry of health, Riyadh, Saudi Arabia, ⁴Radiology Department, King Saud for Chest and Respiratory diseases, Ministry of health, Riyadh, Saudi Arabia, ⁵Laboratory for Neural Injury and Repair, School of Biomedical Science, University of QLD, Brisbane, Australia

Spinal cord injury (SCI) is a devastating damage that can result in permanent disabilities. MRI provides precise details of spinal cord post traumatic compression, which are useful for the diagnosis of the injury, surgical planning, post-surgical measurements and estimation long-term outcomes (Kramer, Freund, & Curt, 2014). In this study, 4 SCI mice were scanned at the 9.4T to acquire high-resolution images and diffusion tensor imaging at two b-values. The area of both white and gray matter were measured in several slices and compared to the pre-injury imaging. Spinal cord white and gray matters were also examined using DTI.

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