The impact of deep learning-based noise reduction reconstruction and flip angle in carotid and subclavian artery ASL-MRA.

Yuichiro Monzen

Presentation information

Oral Session

Oral Session
Neck Vascular

Fri. Sep 20, 2024 1:30 PM - 2:30 PM Room 7 (Makuhari Messe International Conference Hall, Meeting Room 304)

Chairs: Yamashita Koji(Department of Clinical Radiology, Kyushu University), Ide Satoru(Department of Radiology, University of Occupational and Environmental Health)

[OS1-37] The impact of deep learning-based noise reduction reconstruction and flip angle in carotid and subclavian artery ASL-MRA.

*Yuichiro Monzen^1,2, Kanae Miyake ², Koji Fujimoto², Hitomi Numamoto^1,2, Yasutaka Fushimi³, Sachi Okuchi³, Rimika Imai⁴, Yuji Nakamoto³ (1. Division of Clinical Radiology Service , Kyoto University Hospital, 2. Advance 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)

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Presentation information

Oral SessionNeck Vascular

[OS1-37] The impact of deep learning-based noise reduction reconstruction and flip angle in carotid and subclavian artery ASL-MRA.

Password

Oral Session
Neck Vascular