@article{6884110801bd46c1b79e56b22aff0f25,
title = "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. ",
keywords = "CSPAMM, Cardiac MRI, SPAMM, cardiac strain, harmonic phase analysis, motion estimation, sine-wave modeling, tagged MRI",
author = "Hernan Mella and Joaquin Mura and Hui Wang and Taylor, {Michael D.} and Radomir Chabiniok and Jaroslav Tintera and Julio Sotelo and Sergio Uribe",
note = "Funding Information: Manuscript received October 31, 2020; revised January 5, 2021; accepted January 9, 2021. Date of publication January 12, 2021; date of current version April 1, 2021. This work was supported in part by the Ph.D. Scholarship under Grant 21170592, in part by Agencia Nacional de Investigaci{\'o}n y Desarrollo-Fondo Nacional de Desarrollo Cient{\'i}fico y Tecnol{\'o}gico (ANID-FONDECYT) under Grant 1181057, in part by ANID-FONDECYT Postdoctorado under Grant 3170737, in part by the ANID-FONDECYT de Iniciaci{\'o}n en Investigaci{\'o}n under Grant 11200481, in part by the ANID Millennium Science Initiative Program under Grant NCN17_129, in part by the Ministry of Health of the Czech Republic under Project NV19-08-00071, and in part by the Inria-UT Southwestern Medical Center Dallas Associated Team Tetralogy of Fallot and Modeling of Diseases (TOFMOD). (Corresponding author: Sergio Uribe.) Hern{\'a}n Mella is with the Biomedical Imaging Center, Pontificia Uni-versidad Cat{\'o}lica de Chile, Santiago 7820436, Chile, also with the Department of Electrical Engineering, Pontificia Universidad Cat{\'o}lica de Chile, Santiago 7820436, Chile, and also with the Millennium Science Initiative Program, Millennium Nucleus in Cardiovascular Magnetic Resonance, Agencia Nacional de Investigaci{\'o}n y Desarrollo (ANID), Santiago 7820436, Chile (e-mail: hmella@uc.cl). Publisher Copyright: {\textcopyright} 1982-2012 IEEE.",
year = "2021",
month = apr,
doi = "10.1109/TMI.2021.3051092",
language = "English (US)",
volume = "40",
pages = "1240--1252",
journal = "IEEE Transactions on Medical Imaging",
issn = "0278-0062",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "4",
}