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Simulation and analysis of magnetic resonance elastography wave images using coupled harmonic oscillators and Gaussian local frequency estimation

Braun, J. and Buntkowsky, G. and Bernarding, J. and Tolxdorff, T. and Sack, I. (2001):
Simulation and analysis of magnetic resonance elastography wave images using coupled harmonic oscillators and Gaussian local frequency estimation.
In: Magnetic Resonance Imaging, pp. 703-713, 19, (5), [Online-Edition: http://apps.webofknowledge.com/Search.do?product=WOS&SID=F6w...],
[Article]

Abstract

New methods for simulating and analyzing Magnetic Resonance Elastography (MRE) images are introduced. To simulate a two-dimensional shear wave pattern, the wave equation is solved for a field of coupled harmonic oscillators with spatially varying coupling and damping coefficients in the presence of an external force. The spatial distribution of the coupling and the damping constants are derived from an MR image of the investigated object. To validate the simulation as well as to derive the elasticity modules from experimental MRE images, the wave patterns are analyzed using a Local Frequency Estimation (LFE) algorithm based on Gauss filter functions with variable bandwidths. The algorithms are tested using an Agar gel phantom with spatially varying elasticity constants. Simulated wave patterns and LFE results show a high agreement with experimental data. Furthermore, brain images with estimated elasticities for gray and white matter as well as for exemplary tumor tissue are used to simulate experimental MRE data. The calculations show that already small distributions of pathologically changed brain tissue should be detectable by MRE even within the limit of relatively low shear wave excitation frequency around 0.2 kHz. (C) 2001 Elsevier Science Inc. All rights reserved.

Item Type: Article
Erschienen: 2001
Creators: Braun, J. and Buntkowsky, G. and Bernarding, J. and Tolxdorff, T. and Sack, I.
Title: Simulation and analysis of magnetic resonance elastography wave images using coupled harmonic oscillators and Gaussian local frequency estimation
Language: English
Abstract:

New methods for simulating and analyzing Magnetic Resonance Elastography (MRE) images are introduced. To simulate a two-dimensional shear wave pattern, the wave equation is solved for a field of coupled harmonic oscillators with spatially varying coupling and damping coefficients in the presence of an external force. The spatial distribution of the coupling and the damping constants are derived from an MR image of the investigated object. To validate the simulation as well as to derive the elasticity modules from experimental MRE images, the wave patterns are analyzed using a Local Frequency Estimation (LFE) algorithm based on Gauss filter functions with variable bandwidths. The algorithms are tested using an Agar gel phantom with spatially varying elasticity constants. Simulated wave patterns and LFE results show a high agreement with experimental data. Furthermore, brain images with estimated elasticities for gray and white matter as well as for exemplary tumor tissue are used to simulate experimental MRE data. The calculations show that already small distributions of pathologically changed brain tissue should be detectable by MRE even within the limit of relatively low shear wave excitation frequency around 0.2 kHz. (C) 2001 Elsevier Science Inc. All rights reserved.

Journal or Publication Title: Magnetic Resonance Imaging
Volume: 19
Number: 5
Uncontrolled Keywords: mr elastography strain imaging mre simulations image processing tumor detection elasticity tissue reconstruction visualization displacement
Divisions: 07 Department of Chemistry
07 Department of Chemistry > Physical Chemistry
Date Deposited: 27 Oct 2014 20:36
Official URL: http://apps.webofknowledge.com/Search.do?product=WOS&SID=F6w...
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461NZ Times Cited:35 Cited References Count:31

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