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Abstract #2662

High-resolution Brain 3D-TOF MRA of Critical Fine Branches from Major Trunks Using Deep Learning Reconstruction and High-gradient Magnetic Field

Miho Gomyo1,2, Kazuhiro Tsuchiya1,2, Yoshioka Tatsuya3, Sanae Takahashi3, Shichirou Katase1, Arisa Ohara1, Isao Miyazaki3, Haruhiko Machida1, and Kenichi Yokoyama1

1Radiology, Korin University Faculty of Medicine, Mitaka, Japan, 2Radiology, Saitama Medical Center, Saitama Medical University, Kawagoe, Japan, 3Radiology, Korin University Hospital, Mitaka, Japan


Using a 3-T MRI scanner with a high gradient magnetic field (100mT/m), we evaluated the depiction of the intracranial fine branches on high-resolution 3D-TOF MRA (HR-TOF). We also assessed whether depiction can be improved by deep learning reconstruction (DLR).


Ten healthy volunteers were imaged by HR-TOF with DLR, and the sharpness of origin and the overall depiction of branches were assessed.


SNR, the sharpness of the origin and the overall depiction of branches were superior in HR-TOF with DLR.


HR-TOF can well depict fine branches from major trunks. By performing DLR processing, depiction can be improved.

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