Keywords: System Imperfections, Relaxometry
Motivation: Non-Cartesian sampling strategies enable free-breathing imaging due to their robustness against motion but are susceptible to artifacts related to gradient imperfections. Such artifacts may manifest as bias or structured noise in quantitative imaging applications.
Goal(s): In this study, we explore the effects of gradient imperfections and evaluate the performance of gradient correction methods in non-Cartesian, confounder-corrected T1 mapping using both phantom and in vivo imaging experiments.
Approach: For this purpose, we compare confounder-corrected T1 maps reconstructed with data-driven and calibration-based gradient correction approaches.
Results: Our initial results indicate that gradient correction methods are essential for mitigating the bias due to gradient imperfections.
Impact: This study confirms that gradient imperfections result in bias in non-Cartesian quantitative imaging applications. Our findings indicate that T1 relaxometry is less susceptible to gradient imperfections than PDFF and R2* quantification. The application of gradient correction methods mitigates this bias.
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