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Abstract #2397

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

Abdullah Ali Asiri1,2, 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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