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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