Keywords: AI/ML Image Reconstruction, Machine Learning/Artificial Intelligence, mute, acoustic reduction, Deep learning
Motivation: MRI mute technique reduces scanning noise by lowering the gradient slew rate which increase echo spacing, resulting in image blurring and longer scan time.
Goal(s): To design a scanning method that simultaneously reduces scan time and scanning noise without compromising image SNR and clarity.
Approach: Develop a DL-Recon post-processing model to enhance SNR and clarity of images which are acquired from optimized knee scanning protocol with mute technique.
Results: The proposed scanning method improves SNR about 38% and reduces scan time and noise sound pressure separately about 44.8% and 86%.
Impact: Combining DL-Recon with mute sequences help doctors to diagnose more patients. It also enhances the success of clinical scans by decreasing scan noise to improve patient comfort. This is a successful application of DL-Recon with mute scanning technique.
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.
Keywords