Motion correction for free breathing quantitative myocardial t2 mapping: impact on reproducibility and spatial variability

Background Quantitative myocardial T2 mapping is a promising technique for in-vivo assessment of inflammation and edema [1]. Free breathing T2 mapping sequences increase the flexibility in the choice of the number of T2prep echoes times (TET2P), but should be combined with respiratory motion correction technique [2]. In this study, we sought to evaluate the performance of the Adaptive Registration of varying Contrast-weighted images for improved TIssue Characterization (ARCTIC) algorithm [3] for in-plane motion correction in T2 mapping data and its impact on in-vivo reproducibility and spatial variability of myocardial T2 estimates.