title: Model-based reconstructive elasticity imaging using ultrasound.
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.
authors.affiliation: Department of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712, USA.
authors.forename: Salavat
authors.initials: S
authors.lastname: R Aglyamov
authors.forename: Andrei
authors.initials: A
authors.lastname: R Skovoroda
authors.forename: Hua
authors.initials: H
authors.lastname: Xie
authors.forename: Kang
authors.initials: K
authors.lastname: Kim
authors.forename: Jonathan
authors.initials: J
authors.lastname: M Rubin
authors.forename: Matthew
authors.initials: M
authors.lastname: O'Donnell
authors.forename: Thomas
authors.initials: T
authors.lastname: W Wakefield
authors.forename: Daniel
authors.initials: D
authors.lastname: Myers
authors.forename: Stanislav
authors.initials: S
authors.lastname: Y Emelianov