Abstract #1323

Rapid Whole Heart Coronary MRA with 100% respiratory gating efficiency: Fast 3D Wheel data sampling with denoising deep learning reconstruction

Yoshiaki Morita¹, Hideki Ota¹, Atsuro Masuda¹, Takashi Nishina², Sho Tanaka², Yuichi Yamashita², Yoshimori Kassai², and Kei Takase¹

¹Department of Radiology, Tohoku University Hospital, Sendai, Miyagi, Japan, ²Canon Medical Systems Corporation, Otawara, Tochigi, Japan

Our proposed Whole Heart Coronary MR Angiography with 100% respiratory gating efficiency using Fast 3D Wheel data acquisition implementing denoising deep learning reconstruction allowed the rapid data acquisition consistently within 3 minutes in spite of irregular breath pattern while maintaining the image quality and contrast ratio of conventional scan. This technique will improve the ease-of-use of coronary artery imaging for practical use.

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