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Abstract #1897

Deep-Learning Reconstruction Method for Improved High-Resolution Imaging of the Lateral Rectus-Superior Rectus Band in a Clinical Setting

Patrick Quarterman1, Gul Moonis2, and Marc Lebel3
1GE Healthcare, New York, NY, United States, 2Radiology, Columbia University, New York, NY, United States, 3GE Healthcare, Calgary, AB, Canada

The purpose of this study was to determine the effectiveness of using deep learning reconstruction (DL Recon) for improved signal-to-noise (SNR) allowing for higher resolution imaging of the lateral rectus-superior rectus band of the orbit without substantial increase in scan/exam time. Evaluation of this new reconstruction technique was performed on a group of 5 volunteers with results indicating that higher resolution protocols can produce images with increased SNR and removal of noise leading to higher confidence in identifying the lateral rectus-superior rectus band.

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