Model-Based Reconstructive Elasticity Imaging Using Ultrasound

Aglyamov, Salavat R.; Skovoroda, Andrei R.; Xie, Hua; Kim, Kang; Rubin, Jonathan M.; O'Donnell, Matthew; Wakefield, Thomas W.; Myers, Daniel; Emelianov, Stanislav Y.

doi:https://doi.org/10.1155/2007/35830

International Journal of Biomedical Imaging

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Mathematics in Biomedical Imaging

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Research Article | Open Access

Volume 2007 | Article ID 035830 | https://doi.org/10.1155/2007/35830

Model-Based Reconstructive Elasticity Imaging Using Ultrasound

Salavat R. Aglyamov,^1,2Andrei R. Skovoroda,^2,3Hua Xie,³Kang Kim,³Jonathan M. Rubin,⁴Matthew O'Donnell,³Thomas W. Wakefield,⁵Daniel Myers,⁵and Stanislav Y. Emelianov¹

Academic Editor: Tie Zhou

Received28 Sept 2006

Revised02 Mar 2007

Accepted16 May 2007

Published13 Jun 2007

Abstract

Elasticity imaging is a reconstructive imaging technique where tissue motion in response to mechanical excitation is measured using modern imaging systems, and the estimated displacements are then used to reconstruct the spatial distribution of Young's modulus. Here we present an ultrasound elasticity imaging method that utilizes the model-based technique for Young's modulus reconstruction. Based on the geometry of the imaged object, only one axial component of the strain tensor is used. The numerical implementation of the method is highly efficient because the reconstruction is based on an analytic solution of the forward elastic problem. The model-based approach is illustrated using two potential clinical applications: differentiation of liver hemangioma and staging of deep venous thrombosis. Overall, these studies demonstrate that model-based reconstructive elasticity imaging can be used in applications where the geometry of the object and the surrounding tissue is somewhat known and certain assumptions about the pathology can be made.

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Copyright © 2007 Salavat R. Aglyamov et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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