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Abstract #1522

Evaluation of the Substantia Nigra and Locus Coeruleus by Neuromelanin-Sensitive MR Imaging with Deep Learning Based Noise Reduction

Sonoko Oshima1, Yasutaka Fushimi1, Satoshi Nakajima1, Yusuke Yokota1, Sayo Otani1, Azusa Sakurama1, Krishna Pandu Wicaksono1, Yuichiro Sano2, Ryo Matsuda2, Masahito Nambu2, Koji Fujimoto3, Hitomi Numamoto4, Kanae Kawai Miyake4, Tsuneo Saga4, and Kaori Togashi1
1Department of Diagnostic Radiology and Nuclear Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 2MRI Systems Division, Canon Medical Systems Corporation, Otawara, Japan, 3Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto, Japan, 4Department of Advanced Medical Imaging Research, Graduate School of Medicine, Kyoto University, Kyoto, Japan

We assessed neuromelanin-sensitive MR images with number of excitations of 1 or 2 with and without deep learning reconstruction (DLR) denoising method about visualization of the substantia nigra (SN) and locus coeruleus (LC) in 19 patients. The results of visual assessment were better in images with DLR. Contrast ratios of SN did not change after application of DLR, whereas contrast ratios of LC were decreased and hyperintense SN areas became larger. Neuromelanin imaging with DLR has a potential to reduce scan time without spoiling image quality, but further studies are needed for interpreting the signal contrast of SN and LC.

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