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Abstract #0626

Discriminating White/Gray matter in Cervical Spinal Cord by Myelin-Sensitive Inversion Recovery with Deep Learning Reconstruction at 1.5T MRI

Keisuke Nitta1, Hajime Yokota2, Takayuki Sada1, Ryuna Kurosawa1, Issei Nakanishi1,3, Hirotaka Sato1, Koji Matsumoto1, Takashi Namiki4, Masami Yoneyama4, Takashi Iimori1, and Takashi Uno2
1Department of Radiology, Chiba University Hospital, Chiba, Japan, 2Department of Diagnostic Radiology and Radiation Oncology, Chiba University, Graduate School of Medicine, Chiba, Japan, 3Graduate School of Medicine, Chiba University, Department of Legal Medicine, Chiba city, Japan, 4Philips Japan, Tokyo, Japan

Synopsis

Keywords: White Matter, Neuro, Myelin

Motivation: Discrimination between the gray and white matter of the spinal cord remains challenging. Phase-sensitive inversion recovery (PSIR) and myelin-sensitive inversion recovery (MySIR) are effective for discriminating between gray and white matter. Still, both of these methods have only been reported for use with 3T MRI.

Goal(s): We investigated whether MySIR could also be implemented at 1.5T MRI.

Approach: MySIR at 1.5T with deep learning-based reconstruction was compared with MySIR at 3T and PSIR for evaluation of gray/white matter contrast ratio.

Results: MySIR performed at 1.5T using deep learning-based reconstruction exceeded the contrast ratio of 3T-MySIR and PSIR.

Impact: This research advances the field of myelin-specific MR imaging by demonstrating the feasibility of MySIR at 1.5T MRI with deep learning-based reconstruction. This technique provides an efficient way to visualize myelin, potentially improving the diagnosis of neurological diseases.

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Keywords