Literature DB >> 24769915

Characterization of biomechanical properties of agar based tissue mimicking phantoms for ultrasound stiffness imaging techniques.

Kavitha Manickam1, Ramasubba Reddy Machireddy2, Suresh Seshadri3.   

Abstract

Pathological changes of the body have been observed to change the mechanical properties of soft tissue types which can be imaged by ultrasound elastography. Though initial clinical results using ultrasound elastography in detection of tumors are promising, quantification of signal to noise ratio, resolution and strain image patterns are the best achieved under a controlled study using phantoms with similar biomechanical properties of normal and abnormal tissues. The purpose of this work is to characterize the biomechanical properties of agar based tissue mimicking phantoms by varying the agar concentration from 1.7 to 6.6% by weight and identify the optimum property to be used in classification of cancerous tissues. We performed quasi-static uniaxial compression test under a strain rate of 0.5mm/min up to 15% strain and measured Young's modulus of phantom samples which are from 50kPa to 450kPa. Phantoms show nonlinear stress-strain characteristics at finite strain which were characterized using hyperelastic parameters by fitting Neo-Hookean, Mooney Rivlin, Ogden and Veronda Westmann models. We also investigated viscoelastic parameters of the samples by conducting oscillatory shear rheometry at various precompression levels (2-5%). Loss modulus values are always less than storage modulus which represents the behavior of soft tissues. The increase in agar concentration increases the shear modulus of the samples as well as decreases the linear viscoelastic region. The results suggest that dynamic shear modul are more promising than linear and nonlinear elastic modul in differentiation of various classes of abnormal tissues.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Agar; Elastic; Hyperelastic; Stiffness imaging; Tissue mimicking phantoms; Viscoelastic

Mesh:

Substances:

Year:  2014        PMID: 24769915     DOI: 10.1016/j.jmbbm.2014.03.017

Source DB:  PubMed          Journal:  J Mech Behav Biomed Mater        ISSN: 1878-0180


  8 in total

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4.  In Situ Mechanical Characterization of Multilayer Soft Tissue Using Ultrasound Imaging.

Authors:  Saurabh Dargar; Ali C Akyildiz; Suvranu De
Journal:  IEEE Trans Biomed Eng       Date:  2016-12-23       Impact factor: 4.538

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Journal:  J Ther Ultrasound       Date:  2016-04-05

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7.  The influence of tip shape on bending force during needle insertion.

Authors:  Nick J van de Berg; Tonke L de Jong; Dennis J van Gerwen; Jenny Dankelman; John J van den Dobbelsteen
Journal:  Sci Rep       Date:  2017-01-11       Impact factor: 4.379

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Journal:  Biomed Eng Online       Date:  2014-05-30       Impact factor: 2.819

  8 in total

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