Mella, HernánMura, JoaquínWang, HuiTaylor, Michael D.Chabiniok, RadomirTintera, JaroslavSotelo, JulioUribe, Sergio2022-11-302022-11-302021H. Mella et al., "HARP-I: A Harmonic Phase Interpolation Method for the Estimation of Motion From Tagged MR Images," in IEEE Transactions on Medical Imaging, vol. 40, no. 4, pp. 1240-1252, April 2021, doi: 10.1109/TMI.2021.3051092.http://repositoriobibliotecas.uv.cl/handle/uvscl/7422We proposed a novel method called HARP-I, which enhances the estimation of motion from tagged Magnetic Resonance Imaging (MRI). The harmonic phase of the images is unwrapped and treated as noisy measurements of reference coordinates on a deformed domain, obtaining motion with high accuracy using Radial Basis Functions interpolations. Results were compared against Shortest Path HARP Refinement (SP-HR) and Sine-wave Modeling (SinMod), two harmonic image-based techniques for motion estimation from tagged images. HARP-I showed a favorable similarity with both methods under noise-free conditions, whereas a more robust performance was found in the presence of noise. Cardiac strain was better estimated using HARP-I at almost any motion level, giving strain maps with less artifacts. Additionally, HARP-I showed better temporal consistency as a new method was developed to fix phase jumps between frames. In conclusion, HARP-I showed to be a robust method for the estimation of motion and strain under ideal and non-ideal conditions.CARDIAC MRITAGGED MRISPAMMCSPAMMHARMONIC PHASE ANALYSISSINE-WAVE MODELINGCARDIAC STRAINMOTION ESTIMATIONArticulo10.1109/TMI.2021.3051092