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contributor authorYuan, Huina
contributor authorGuzina, Bojan B.
contributor authorChen, Shigao
contributor authorKinnick, Randall
contributor authorFatemi, Mostafa
date accessioned2017-05-09T00:57:06Z
date available2017-05-09T00:57:06Z
date issued2013
identifier issn1555-1415
identifier othercnd_8_3_034503.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/151203
description abstractThis study concerns the development and preliminary experimental verification of a topological sensitivity–based platform for the material characterization of tissue anomalies exposed by vibroacoustographytype imaging techniques. Vibroacoustography (VA) is a highresolution imaging method that has been applied to the detection of pathological changes in soft tissues. Although the data provided by this method is related to the mechanical properties of tissue, the viscoelastic parameters of the object cannot be estimated by this imaging method itself. Topological sensitivity (TS) method is a data processing methodology that can be used to estimate the viscoelastic parameters of an object from vibration data. In this study, the concept of topological sensitivity is applied to interpret the vibroacoustography measurements for the purpose of lesion characterization. In the proposed approach, the topological sensitivity function, which signifies the variation of a given cost functional when an infinitesimal inclusion with trial material parameters is placed at the location of a point force, is formulated in terms of the adjoint field. The effectiveness of the resulting formula as a material indicator for lesion characterization is demonstrated by estimating the relative elastic parameters of a wellcontrolled neoprene sphere embedded in a tissuemimicking phantom specimen.
publisherThe American Society of Mechanical Engineers (ASME)
titleApplication of Topological Sensitivity Toward Soft Tissue Characterization From Vibroacoustography Measurements
typeJournal Paper
journal volume8
journal issue3
journal titleJournal of Computational and Nonlinear Dynamics
identifier doi10.1115/1.4023738
journal fristpage34503
journal lastpage34503
identifier eissn1555-1423
treeJournal of Computational and Nonlinear Dynamics:;2013:;volume( 008 ):;issue: 003
contenttypeFulltext


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