DocumentCode
1489029
Title
Travelling Wave Expansion: A Model Fitting Approach to the Inverse Problem of Elasticity Reconstruction
Author
Baghani, Ali ; Salcudean, Septimiu ; Honarvar, Mohammad ; Sahebjavaher, Ramin S. ; Rohling, Robert ; Sinkus, Ralph
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
Volume
30
Issue
8
fYear
2011
Firstpage
1555
Lastpage
1565
Abstract
In this paper, a novel approach to the problem of elasticity reconstruction is introduced. In this approach, the solution of the wave equation is expanded as a sum of waves travelling in different directions sharing a common wave number. In particular, the solutions for the scalar and vector potentials which are related to the dilatational and shear components of the displacement respectively are expanded as sums of travelling waves. This solution is then used as a model and fitted to the measured displacements. The value of the shear wave number which yields the best fit is then used to find the elasticity at each spatial point. The main advantage of this method over direct inversion methods is that, instead of taking the derivatives of noisy measurement data, the derivatives are taken on the analytical model. This improves the results of the inversion. The dilatational and shear components of the displacement can also be computed as a byproduct of the method, without taking any derivatives. Experimental results show the effectiveness of this technique in magnetic resonance elastography. Comparisons are made with other state-of-the-art techniques.
Keywords
biological tissues; biomechanics; biomedical MRI; curve fitting; elastic waves; elasticity; inverse problems; medical image processing; physiological models; dilatational displacement component; elasticity reconstruction inverse problem; magnetic resonance elastography; model fitting approach; scalar potentials; shear displacement component; shear wave number; travelling wave expansion; travelling wave sum; vector potentials; wave equation solution; Data models; Elasticity; Finite element methods; Mathematical model; Optimization; Phantoms; Propagation; Absolute elasticity; elasticity imaging; inverse problems; magnetic resonance elastography; travelling waves; Algorithms; Elastic Modulus; Elasticity Imaging Techniques; Finite Element Analysis; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Models, Biological; Phantoms, Imaging;
fLanguage
English
Journal_Title
Medical Imaging, IEEE Transactions on
Publisher
ieee
ISSN
0278-0062
Type
jour
DOI
10.1109/TMI.2011.2131674
Filename
5742788
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