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 Gomyo^1,2, Kazuhiro Tsuchiya^1,2, 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

Problem

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).

Methods

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

Results

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

Conclusion

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

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