Quantitative cardiac T1 mapping involves nonlinear parameter estimation after MR acquisition. The widely used minimum mean square error (MMSE) estimator assumes Gaussian additive noise, and can be sensitive to outliers of non-Gaussian nature, such as those caused by cardiac motion. In this work, we propose to apply robust loss functions, which are part of the M-estimator family, with increased robustness to outliers. Experiments on MOLLI and SAPPHIRE sequences showed that the M-estimators were able to improve the T1 estimation robustness, significantly reducing the standard deviation (SD) error of the estimated T1 map in comparison to MMSE.
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