Abstract #0696

One-minute 3D ky-kz Centric FFE Thoracic Aorta Imaging with Real-Time Motion-Correction and High-Resolution Deep Learning Reconstruction

Hideki Ota¹, Satoshi Higuchi¹, Yoshiaki Morita², Takashi Nishina³, Sho Tanaka³, Yuichi Yamashita³, Yoshimori Kassai³, Tasuo Nagasaka¹, Mitsue Miyazaki⁴, and Kei Takase¹

¹Tohoku University Hospital, Sendai, Japan, ²National Cardiovascular Research Center, Osaka, Japan, ³Canon Medical Systems, Otawara, Japan, ⁴University of California, San Diego, San Diego, CA, United States

Synopsis

Keywords: Vessels, Vessels, workflow, deep learning reconstructionEfficiency of 3D ky-kz centric fast field echo (FFE) acquisition was acquired using 100% efficiency of real-time motion correction in the sagittal oblique acquisition and compared with conventional 3D FFE acquisition. The thoracic aorta was acquired within 1 minute using centric ky-kz FFE and reconstructed with high-resolution deep learning reconstruction (HR-DLR), providing good image quality. Regular FFE with conventional reconstruction provides fair image quality with prominent noise and artifacts.

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