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用于超声弹性成像技术的基于琼脂的组织模拟体模生物力学特性的表征

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

作者信息

Manickam Kavitha, Machireddy Ramasubba Reddy, Seshadri Suresh

机构信息

Biomedical Engineering Group, Department of Applied Mechanics, IIT Madras, Chennai 600 036, India.

Biomedical Engineering Group, Department of Applied Mechanics, IIT Madras, Chennai 600 036, India.

出版信息

J Mech Behav Biomed Mater. 2014 Jul;35:132-43. doi: 10.1016/j.jmbbm.2014.03.017. Epub 2014 Apr 1.

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.

摘要

已观察到身体的病理变化会改变软组织类型的力学性能,而这些软组织类型可通过超声弹性成像进行成像。尽管在肿瘤检测中使用超声弹性成像的初步临床结果很有前景,但在使用具有正常和异常组织相似生物力学特性的体模进行的对照研究中,才能最好地实现信噪比、分辨率和应变图像模式的量化。这项工作的目的是通过将琼脂浓度按重量从1.7%变化到6.6%来表征基于琼脂的组织模拟体模的生物力学特性,并确定用于癌组织分类的最佳特性。我们在0.5mm/分钟的应变速率下进行准静态单轴压缩试验,直至15%的应变,并测量了体模样品的杨氏模量,其范围为50kPa至450kPa。体模在有限应变下呈现非线性应力-应变特性,通过拟合Neo-Hookean、Mooney Rivlin、Ogden和Veronda Westmann模型,使用超弹性参数对其进行了表征。我们还通过在各种预压缩水平(2 - 5%)下进行振荡剪切流变学研究了样品的粘弹性参数。损耗模量值始终小于储能模量,这代表了软组织的行为。琼脂浓度的增加会增加样品的剪切模量,并减小线性粘弹性区域。结果表明,动态剪切模量在区分各类异常组织方面比线性和非线性弹性模量更有前景。

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