Keywords: AI/ML Image Reconstruction, Image Reconstruction, deep learning; internal auditory canal; high resolution T2-weighted imaging; super-resolution.
Motivation: There are no reports on the usefulness of high-resolution three-dimensional T2-weighted imaging (HR-3D T2WI) using super-resolution deep learning-based reconstruction (SR-DLR) technique.
Goal(s): We aimed to determine whether a novel SR-DLR technique can improve the image quality of HR-3D T2WI for assessing the IAC and inner ear.
Approach: We qualitatively assessed the image quality of HR-3D T2WI with and without SR-DLR for the visualization of detailed structures of the IAC and inner ear.
Results: SR-DLR was shown to significantly improve the image quality of HR-3D T2WI in visualizing nerves in the IAC and inner ear compared to conventional HR-3D T2WI without SR-DLR.
Impact: High-resolution three-dimensional T2-weighted imaging with super-resolution deep learning-based reconstruction can improve the visualization of detailed structures of the internal auditory canal and inner ear without extended acquisition time.
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