A New Methodology for Multiscale Myocardial Deformation and Strain Analysis Based on Tagging MRI

Myocardial deformation and strain can be investigated using suitably encoded cine MRI that admits disambiguation of material motion. Practical limitations currently restrict the analysis to in-plane motion in cross-sections of the heart (2D + time), but the proposed method readily generalizes to 3D...

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Main Authors: Luc Florack, Hans van Assen
Format: Article
Language:English
Published: Wiley 2010-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/2010/341242
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author Luc Florack
Hans van Assen
author_facet Luc Florack
Hans van Assen
author_sort Luc Florack
collection DOAJ
description Myocardial deformation and strain can be investigated using suitably encoded cine MRI that admits disambiguation of material motion. Practical limitations currently restrict the analysis to in-plane motion in cross-sections of the heart (2D + time), but the proposed method readily generalizes to 3D + time. We propose a new, promising methodology, which departs from a multiscale algorithm that exploits local scale selection so as to obtain a robust estimate for the velocity gradient tensor field. Time evolution of the deformation tensor is governed by a first-order ordinary differential equation, which is completely determined by this velocity gradient tensor field. We solve this matrix-ODE analytically and present results obtained from healthy volunteers as well as from patient data. The proposed method requires only off-the-shelf algorithms and is readily applicable to planar or volumetric tagging MRI sampled on arbitrary coordinate grids.
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series International Journal of Biomedical Imaging
spelling doaj-art-7189477dd3184d0bab90cb2f439caed82025-08-20T02:06:32ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962010-01-01201010.1155/2010/341242341242A New Methodology for Multiscale Myocardial Deformation and Strain Analysis Based on Tagging MRILuc Florack0Hans van Assen1Department of Mathematics & Computer Science, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The NetherlandsDepartment of Biomedical Engineering, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The NetherlandsMyocardial deformation and strain can be investigated using suitably encoded cine MRI that admits disambiguation of material motion. Practical limitations currently restrict the analysis to in-plane motion in cross-sections of the heart (2D + time), but the proposed method readily generalizes to 3D + time. We propose a new, promising methodology, which departs from a multiscale algorithm that exploits local scale selection so as to obtain a robust estimate for the velocity gradient tensor field. Time evolution of the deformation tensor is governed by a first-order ordinary differential equation, which is completely determined by this velocity gradient tensor field. We solve this matrix-ODE analytically and present results obtained from healthy volunteers as well as from patient data. The proposed method requires only off-the-shelf algorithms and is readily applicable to planar or volumetric tagging MRI sampled on arbitrary coordinate grids.http://dx.doi.org/10.1155/2010/341242
spellingShingle Luc Florack
Hans van Assen
A New Methodology for Multiscale Myocardial Deformation and Strain Analysis Based on Tagging MRI
International Journal of Biomedical Imaging
title A New Methodology for Multiscale Myocardial Deformation and Strain Analysis Based on Tagging MRI
title_full A New Methodology for Multiscale Myocardial Deformation and Strain Analysis Based on Tagging MRI
title_fullStr A New Methodology for Multiscale Myocardial Deformation and Strain Analysis Based on Tagging MRI
title_full_unstemmed A New Methodology for Multiscale Myocardial Deformation and Strain Analysis Based on Tagging MRI
title_short A New Methodology for Multiscale Myocardial Deformation and Strain Analysis Based on Tagging MRI
title_sort new methodology for multiscale myocardial deformation and strain analysis based on tagging mri
url http://dx.doi.org/10.1155/2010/341242
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