Meeting Banner
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.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here