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Your search keyword '"Sine-wave Modeling"' showing total 2 results
Start Over Descriptor "Sine-wave Modeling" Topic tagged mri
2 results on '"Sine-wave Modeling"'

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

Author

Mella, Hernan, Mura, Joaquin, Wang, Hui, Taylor, Michael D., Chabiniok, Radomir, Tintera, Jaroslav, Sotelo, Julio, and Uribe, Sergio

Subjects
*MAGNETIC resonance imaging, *INTERPOLATION, *RADIAL basis functions, *HARMONIC analysis (Mathematics)
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. [ABSTRACT FROM AUTHOR]

Published
2021
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2. HARP-I: A Harmonic Phase Interpolation Method for the Estimation of Motion From Tagged MR Images

Author

Hui Wang, Sergio Uribe, Michael D. Taylor, Hernán Mella, Joaquín Mura, Jaroslav Tintera, Julio Sotelo, Radomir Chabiniok, Pontificia Universidad Católica de Chile (UC), Universidade Federal de Santa Maria (UFSM), Cincinnati Children's Hospital Medical Center, Department of Mathematics [Prague] (FNSPE), Czech Technical University in Prague (CTU), School of Biomedical Engineering & Imaging Sciences [London], Guy's and St Thomas' Hospital [London]-King‘s College London, Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine (M3DISIM), Laboratoire de mécanique des solides (LMS), École polytechnique (X)-MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), University of Texas Southwestern Medical Center [Dallas], Institute for Clinical and Experimental Medicine (IKEM), Valparaiso University, Universidade Federal de Santa Maria = Federal University of Santa Maria [Santa Maria, RS, Brazil] (UFSM), King‘s College London-Guy's and St Thomas' Hospital [London], École polytechnique (X)-Mines Paris - PSL (École nationale supérieure des mines de Paris), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Mines Paris - PSL (École nationale supérieure des mines de Paris)

Subjects
Similarity (geometry), [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging, Phase (waves), Harmonic (mathematics), 030204 cardiovascular system & hematology, 030218 nuclear medicine & medical imaging, Harmonic analysis, Motion, 03 medical and health sciences, 0302 clinical medicine, Motion estimation, Image Processing, Computer-Assisted, Cardiac Strain, Electrical and Electronic Engineering, Cardiac MRI, Tagged MRI, SPAMM, HARP, Physics, Radiological and Ultrasound Technology, Sine-wave Modeling, CSPAMM, Harmonic Phase Analysis, Magnetic Resonance Imaging, Computer Science Applications, Noise, Cytokines, Astrophysics::Earth and Planetary Astrophysics, Carrier Proteins, Algorithm, Motion Estimation, Algorithms, Software, Interpolation
Abstract

International audience; 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.

Published
2021
Full Text
View/download PDF

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