Oral Session

Oral Session
Deep Learning Brain

Sat. Sep 21, 2024 11:00 AM - 12:00 PM Room 6 (Makuhari Messe International Conference Hall, Meeting Room 303)

Chairs: Yasuhiko Tachibana(National Institutes for Quantum Science and Technology), Shoko Hara(Tokyo Medical and Dental University)

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[OS2-29] The Usefulness of Rapid High-Resolution Double Inversion Recovery Imaging with DL-Speed for the Detection of Multiple Sclerosis Lesions

*Tomohiro Shintaku¹, Haruka Nagaya¹, Miho Sasaki¹, Sera Kasai¹, Yuka Ishimoto¹, Kazuhiko Oyu², Atsushi Nozaki³, Xucheng Zhu³, Tetsuya Wakayama³, Shingo Kakeda¹ (1. Department of Radiology, Hirosaki University School of Medicine, 2. Department of Radiological Technology, Hirosaki University School of Medicine and Hospital, 3. GE HealthCare)

[OS2-30] Improved assessment of microbleeds by high resolution 3D SWAN imaging with deep learning-based reconstruction

*Yuka Ishimoto¹, Tomohiro Shintaku¹, Miho Sasaki¹, Kazuhiko Oyu¹, Atsushi Nozaki², Xucheng Zhu², Burns Brian², Tetsuya Wakayama², Shingo Kakeda¹ (1. Department of Radiology, Hirosaki University Graduate School of Medicine, 2. GE HealthCare)

[OS2-31] Initial study on detection of cerebral perivascular spaces in T2WI using 3D deep-learning-based reconstruction

*Amo Ozawa¹, Tomohiro Shintaku¹, Yuka Ishimoto¹, Sera Kasai¹, Miho Sasaki¹, Kana Saito¹, Kazuhiko Oyu², Atsushi Nozaki³, Tetsuya Wakayama³, Shingo Kakeda¹ (1. Department of Radiology, Hirosaki University School of Medicine, 2. Department of Radiological Technology, Hirosaki University School of Medicine and Hospital, 3. GE HealthCare)

[OS2-32] Initial study of multiple sclerosis lesions in T2WI using 3D deep-learning-based reconstruction

*Kana Saito¹, Tomohiro Shintaku¹, Yuka Ishimoto¹, Sera Kasai¹, Amo Ozawa¹, Kazuhiko Oyu², Atsushi Nozaki³, Tetsuya Wakayama³, Shingo Kakeda¹ (1. Department of Radiology, Hirosaki University School of Medicine, 2. Department of Radiological Technology, Hirosaki University School of Medicine and Hospital, 3. GE HealthCare)

[OS2-33] Enhanced DWI Imaging Quality in Skull Base/Head and Neck Regions Using Distortion Correction and Deep Learning Reconstruction

*Haruka Oku¹, Satoru Ide¹, Yuta Yoshimatsu¹, Toshihiro Sakamoto¹, Koichiro Futatsuya¹, Yu Murakami¹, Hidekuni Narimatsu², Takatoshi Aoki¹ (1. Department of Radiology, University of Occupational Environmental Health School of Medicine, Japan, 2. Department of Radiology, Hospital of University of Occupational Environmental Health, Japan)

[OS2-34] Investigation of scan time reduction for brain 3D FLAIR images using convolutional neural network-based truncation artifact reduction technology

*Motoki Sasahara¹, Katsusuke Kyotani¹, Takashi Tsuneki¹, Toru Shirai², Masahiro Takizawa¹, Yoshihisa Soutome² (1. FUJIFILM Healthcare Corporation)