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

Synopsis

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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords