Oral Session

Oral Session
MRA2

Sat. Sep 23, 2023 8:55 AM - 9:55 AM Room 4 (Karuizawa Prince Hotel West, Chikuma A+B)

Chairs: Mitsue Miyazaki（Department of Radiology, University of California, San Diego）, Masami Yoneyama（Philips Japan）

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[OS17-1] Influence of flip angle on signal acquisition capability and flow void effect in carotid artery stent in black blood imaging using 3D TSE technique

Issei Nakanishi¹, Masatoshi Kojima², Takeshi Asano³ (1.Department of Radiology, Seikeikai Chiba Medical Center, 2.Graduate school of medicine, Chiba university, 3.Department of Neuroendovascular Medicine, Seikeikai Chiba Medical Center)

[OS17-2] Optimal imaging parameters of non-contrast MR angiography for simultaneous delineation of carotid and subclavian arteries with 3T MRI.

Hitomi Numamoto¹, Koji Fujimoto², Kanae Miyake K², Yasutaka Fushimi³, Sachi Okuchi³, Rimika Imai⁴, Nobuyasu Ichinose⁴, Yuji Nakamoto³ (1.Division of Clinical Radiology Service, Kyoto University Hospital, 2.Department of Advanced Imaging in Medical Magnetic Resonance, Graduate School of Medicine, Kyoto University, 3.Department of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 4.Canon Medical Systems Corporation)

[OS17-3] High-resolution time-of-flight MR angiography using deep-learning-based reconstruction: Still preliminary report

Tomohiro Shintaku¹, Yuka Ishimoto¹, Miho Sasaki¹, Atsushi Nozaki², Yoichiro Ikushima², Tetsuya Wakayama², Shingo Kakeda¹ (1.Department of Radiology and Radiation oncology, Hirosaki University School of Medicine, 2.GE HealthCare)

[OS17-4] Image quality assessment of intracranial three-dimensional time-of-flight MR angiography with deep-learning reconstruction

Yoichiro Ikushima¹, Naoyuki Takei¹, Atsushi Nozaki¹, Kazuhiko Oyu², Shingo Kakeda³, Tetsuya Wakayama¹ (1.GE HealthCare, 2.Department of Radiological Technology, Hirosaki University School of Medicine and Hospital, 3.Department of Radiology, Hirosaki University School of Medicine)

[OS17-5] Turbo FLEXA MR Angiography with Deep Learning undersampled reconstruction

Naoyuki Takei¹, Kazuhiko Oyu², Atsushi Nozaki¹, Rafi Brada³, Sangtae Ahn⁴, Graeme McKinnon⁵, Xucheng Zhu⁶, Shingo Kakeda⁷, Tetsuya Wakayama¹ (1.GE HealthCare, 2.Department of Radiology Technology, Hirosaki University School of Medicine and Hospital, 3.GE Research, Herzliya, Israel, 4.GE Research, Niskayuna, NY, United States, 5.GE HealthCare, Waukesha, WI, United States, 6.GE HealthCare, Menlo Park, CA, United States, 7.Department of Radiology, Hirosaki University School of Medicine)

[OS17-6] Silenz MRA noise reduction by using Deep Learning Reconstruction

Mitsuharu Miyoshi¹, Sagar Mandav², Tetsuya Wakayama¹ (1.Global MR Clinical Solutions and Research Collaborations, GE HealthCare, Japan, 2.Global MR Clinical Solutions and Research Collaborations, GE HealthCar)