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Estimating elastic modulus of soft tissue from incomplete displacement measurement

机译:通过不完全位移测量估算软组织的弹性模量

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The determination of elasticity of living soft tissues is of interest in medical diagnostics since the tissue elasticity is usually related to some abnormal, pathological process. Internal tissue deformation induced by externally applied mechanical forces has been evaluated to characterize tissue elasticity. For a quantitative elasticity imaging, material parameter such as shear modulus must be reconstructed from the measurement of internal displacement. A method to estimate the elastic modulus of an isotropic, inhomogeneous, incompressible elastic medium using measured displacement data is formulated by inversely solving the forward problem for static deformation. A finite-element based model for static deformation is proposed and then rearranged for solving the distribution of the shear modulus of the soft tissue from a knowledge of the displacement within the tissue. When the force boundary condition is unknown, it reconstructs the relative value of the elastic modulus of the tissue. The feasibility of the proposed method is demonstrated and the performance of the algorithm with noise in the displacement data is tested using the simulated deformation data of the simple two-dimensional inclusion problem. The results show that the relative shear modulus may be reconstructed from the displacement data measured locally in the region of interest, and that the relative shear modulus can be recovered to some degree of accuracy from only one-dimensional displacement data.
机译:由于组织弹性通常与一些异常,病理过程有关,因此测定活组织的弹性对医学诊断感兴趣。已经评估了通过外部施加的机械力引起的内部组织变形以表征组织弹性。对于定量弹性成像,必须从内部位移的测量重建诸如剪切模量的材料参数。通过反向解决静态变形的前向问题来制定使用测量的位移数据来制定使用测量的位移数据的各向同性,不均匀的不可压缩弹性介质的方法。提出了一种用于静态变形的有限元模型,然后重新排列,用于求解软组织的剪切模量与组织内的位移的知识的分布。当力边界条件未知时,它重建组织的弹性模量的相对值。通过简单的二维夹杂项问题的模拟变形数据,测试了所提出的方法的可行性,并使用位移数据中的噪声对噪声的性能进行测试。结果表明,可以从本地在感兴趣区域中局部测量的位移数据重建相对剪切模量,并且可以从仅从一维位移数据恢复相对剪切模量的一定程度的精度。

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