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Abstract #1844

Clinical Application of Six-fold Accelerated Submillimeter Whole Brain 3D T2-weighted Imaging with Deep Learning Reconstruction

Sayo Otani1, Yasutaka Fushimi1, Satoshi Nakajima1, Yusuke Yokota1, Sonoko Oshima1, Azusa Sakurama1, Krishna Pandu Wicaksono1, Yuichiro Sano2, Ryo Matusda2, Masahito Nambu2, Koji Fujimoto3, Hitomi Numamoto4, Kanae Kawai Miyake4, Tsuneo Saga4, and Kaori Togashi1
1Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan, 2MRI Systems Division, Canon Medical Systems Corporation, Kyoto, Japan, 3Human Brain Research Center, Kyoto University Graduate School of Medicine, Kyoto, Japan, 4Department of Advanced Medical Imaging Research, Kyoto University Graduate School of Medicine, Kyoto, Japan

We have demonstrated six-fold accelerated submillimeter whole brain 3D T2-weighted imaging with deep learning reconstruction (DLR) showed better coefficient of variation and signal ratio compared with that without DLR. Scan time of around 2.5 min is clinically feasible and the delineation of fine structure is preserved after DLR processing.

3D T2-weighted image with better image quality derived from DLR will help clinicians and radiologists evaluate CSF space abnormalities, and its short scan time will be feasible for routine clinical examinations.

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