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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