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HARP-I: A Harmonic Phase Interpolation Method for the Estimation of Motion from Tagged MR Images

Abstract : 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.
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Contributor : Radomir Chabiniok Connect in order to contact the contributor
Submitted on : Saturday, January 16, 2021 - 7:03:54 AM
Last modification on : Friday, January 7, 2022 - 11:08:14 AM
Long-term archiving on: : Saturday, April 17, 2021 - 6:06:48 PM


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  • HAL Id : hal-03112239, version 1


Hernán Mella, Joaquín Mura, Hui Wang, Michael Taylor, Radomir Chabiniok, et al.. HARP-I: A Harmonic Phase Interpolation Method for the Estimation of Motion from Tagged MR Images. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2021, 40 (4), pp.1240-1252. ⟨hal-03112239⟩



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