Key Points
- To develop and evaluate a motion correction algorithm using synthetic image estimation to improve the accuracy of myocardial T1 mapping.
- Formulated synthetic image estimation to model inversion recovery contrast shifts as a variational energy minimization problem.
- Evaluated algorithm performance via nonrigid registration on a consecutive patient cohort undergoing modified Look-Locker inversion recovery imaging.
- Achieved robust nonrigid alignment of inversion recovery images despite substantial respiratory motion and low tissue contrast near the signal null point.
- Successfully suppressed motion-induced artifacts, improving the overall quality and reliability of myocardial T1 maps.
Structured PICO
PPopulationConsecutive patient data cohort undergoing myocardial T1 mapping
IInterventionNovel motion correction algorithm based on estimating synthetic images formulated as a variational energy minimization problem
OOutcomeRobust nonrigid registration to align inversion recovery images and suppression of motion induced artifacts in the T1 mapsurrogate
A novel motion correction algorithm using synthetic image estimation improves the robustness of nonrigid registration and suppresses motion artifacts in myocardial T1 mapping.