Examinando por Autor "Taylor, Michael D."

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    HARP-I: A Harmonic Phase Interpolation Method for the Estimation of Motion From Tagged MR Images
    (IEEE, 2021) Mella, Hernán; Mura, Joaquín; Wang, Hui; Taylor, Michael D.; Chabiniok, Radomir; Tintera, Jaroslav; Sotelo, Julio; Uribe, Sergio
    We 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.