HARP-I: A Harmonic Phase Interpolation Method for the Estimation of Motion From Tagged MR Images
dc.contributor.author | Mella Lobos, Hernán Arturo | |
dc.contributor.author | Mura Mardones, Joaquín Alejandro | |
dc.contributor.author | Wang, Hui | |
dc.contributor.author | Taylor, Michael D. | |
dc.contributor.author | Chabiniok, Radomir | |
dc.contributor.author | Tintera, Jaroslav | |
dc.contributor.author | Sotelo Parraguez, Julio Andrés | |
dc.contributor.author | Uribe Arancibia, Sergio A. | |
dc.date.accessioned | 2022-05-18T14:04:48Z | |
dc.date.available | 2022-05-18T14:04:48Z | |
dc.date.issued | 2021 | |
dc.description.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. | |
dc.fuente.origen | IEEE | |
dc.identifier.doi | 10.1109/TMI.2021.3051092 | |
dc.identifier.eissn | 1558-254X | |
dc.identifier.issn | 0278-0062 | |
dc.identifier.uri | https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9320570 | |
dc.identifier.uri | https://doi.org/10.1109/TMI.2021.3051092 | |
dc.identifier.uri | https://repositorio.uc.cl/handle/11534/64104 | |
dc.identifier.wosid | WOS:000637532800013 | |
dc.information.autoruc | Escuela de ingeniería ; Mella Lobos, Hernán Arturo ; S/I ; 1039656 | |
dc.information.autoruc | Escuela de ingeniería ; Mura, Joaquin ; S/I ; 9973 | |
dc.information.autoruc | Escuela de ingeniería ; Sotelo, Julio A. ; S/I ; 213237 | |
dc.information.autoruc | Escuela de ingeniería ; Uribe Arancibia, Sergio A. ; S/I ; 16572 | |
dc.information.autoruc | Escuela de medicina ; Uribe Arancibia, Sergio A. ; S/I ; 16572 | |
dc.issue.numero | 4 | |
dc.language.iso | en | |
dc.nota.acceso | Contenido parcial | |
dc.pagina.final | 1252 | |
dc.pagina.inicio | 1240 | |
dc.publisher | IEEE | |
dc.revista | IEEE Transactions on Medical Imaging | |
dc.rights | acceso restringido | |
dc.subject | Harmonic analysis | |
dc.subject | Strain | |
dc.subject | Heart | |
dc.subject | Interpolation | |
dc.subject | Estimation | |
dc.subject | Three-dimensional displays | |
dc.subject | Biomedical imaging | |
dc.subject.ods | 03 Good health and well-being | |
dc.subject.odspa | 03 Salud y bienestar | |
dc.title | HARP-I: A Harmonic Phase Interpolation Method for the Estimation of Motion From Tagged MR Images | es_ES |
dc.type | artículo | |
dc.volumen | 40 | |
sipa.codpersvinculados | 1039656 | |
sipa.codpersvinculados | 9973 | |
sipa.codpersvinculados | 213237 | |
sipa.codpersvinculados | 16572 |