Meeting Banner
Abstract #3967

Development of a High-Speed MRI Protocol with Deep Learning Reconstruction Method for Brain Imaging in a Clinical Setting

Patrick Quarterman1
1GE Healthcare, Brooklyn, NY, United States


The purpose of this study was to develop a High-Speed MRI (hsMRI) protocol with deep learning reconstruction (DL Recon) for adult and pediatric brain imaging to provide consistent, stout image quality in less than 1/4 the scan time of standard protocols. This was achieved utilizing FSE T1, SS T2w, Gradient Echo (GRE) T2*, and Diffusion Weighted & FLAIR Echo Plane Imaging (EPI) sequences. Evaluation was performed on of 20 patients comparing current protocol to hsMRI with results indicating imaging using hsMRI protocol was of clinically diagnostic quality allowing significant reduction in scan times compared to industry standard routine brain imaging protocols.

This abstract and the presentation materials are available to members only; a login is required.

Join Here