Abstract #4204

Fast MRI of the cervical spinal cord by combining the deep learning-based denoising and Super-Resolution technique

Takuya Aoike¹, Noriyuki Fujima², Jihun Kwon³, Masami Yoneyama³, Satonori Tsuneta², Kinya Ishizaka¹, and Kohsuke Kudo⁴

¹Department of Radiological Technology, Hokkaido University Hospital, Sapporo, Japan, ²Department of Diagnostic and Interventional Radiology, Hokkaido University Hospital, Sapporo, Japan, ³Philips Japan, Ltd., Tokyo, Japan, ⁴Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Sapporo, Japan; Global Center for Biomedical Science and Engineering, Faculty of Medicine, Hokkaido University, Sapporo, Japan

Synopsis

Keywords: Spinal Cord, Spinal Cord

SmartSpeed Precise Image (SSPI) is one of novel image reconstruction technique which combined the physics driven type deep learning-based denoising process and Super-Resolution techniques. We investigated the utility of SSPI-based single-shot turbo spin-echo sequence of the cervical spinal cord T2-weighted image with the short acquisition time. High quantitative signal-to-noise ratio and qualitative image sharpness were successfully demonstrated by using SSPI. This methodology can be useful for the better image quality and the short acquisition time in the assessment of patients with cervical spinal cord diseases.

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