Cardiovascular magnetic resonance myocardial feature tracking using a non-rigid elastic image registration algorithm: assessment of variability in a real-life clinical setting

摘要

BackgroundCardiovascular magnetic resonance myocardial feature tracking (CMR-FT) is a promising technique for quantification of myocardial strain from steady-state free precession (SSFP) cine images. We sought to determine the variability of CMR-FT using a non-rigid elastic registration algorithm recently available in a commercial software package (Segment, Medviso) in a real-life clinical setting.