Keywords: Machine Learning/Artificial Intelligence, Machine Learning/Artificial IntelligenceIn MRI, edge sharpness is one of the main criteria to allow structure’s delineation and relevant clinical diagnosis. One way to improve the sharpness is to artificially increase the reconstructed matrix size with methods such as zero-padding interpolation (ZIP). In a previous study, we created a deep learning reconstruction (DLR) pipeline, combining ZIP with two CNN’s: the first one trained to reduce image noise, and the second one to reduce ringing artifacts. The goal of this work was to evaluate the clinical impact of this DLR pipeline on pathological knee images performed at 1.5T and 3T, compared to standard reconstructions.
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