Keywords: Osteoarthritis, Osteoarthritis, Cartilage, MSK, Quantitative Imaging, Data Processing
Motivation: Current methods for T2 fitting in the OAI dataset are based on exponential models, which are inherently sub-optimal as they do not account for stimulated echoes and B1 inhomogeneities.
Goal(s): To study whether EPG-Model fitting methods improve accuracy and repeatability of T2 mapping in the OAI dataset compared to conventional methods.
Approach: We set up three EPG modelling approaches: nonlinear-least-square, dictionary matching, and deep learning. We used simulations and data from the OAI dataset to evaluate accuracy, repeatability.
Results: We found that EPG-based methods had higher accuracy and repeatability than exponential-based methods commonly used to compute T2 maps in the OAI dataset.
Impact: We have demonstrated that EPG-based methods improved accuracy and repeatability of T2 mapping in the OAI dataset over the commonly used mono-exponential fitting methods. This permits more robust analysis of T2 information in the OAI dataset, especially in longitudinal analyses.
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