A Computational Comparison of Variational Formulations for the Direct Solution of Hybrid Elastography Inverse Problems

IF 2.9 3区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Quinn T. Kolt, Olalekan A. Babaniyi
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引用次数: 0

Abstract

We consider the inverse problem of reconstructing the complex shear modulus distribution within an object from measurements of the displacement field within that object. This problem is motivated by applications in the dynamic elastography field, where the shear modulus is used for noninvasive detection and diagnosis of various diseases. The displacements are assumed to obey a scalar wave model. We extend previously proposed direct error in constitutive equations (DECE) and equation error (EE) formulations to the scalar wave inverse problem, and compare them to each other and three other direct methods for the same problem. All the methods considered perform well in some scenarios. Only DECE and EE perform well in all scenarios considered. In particular, only DECE and EE methods can accurately reconstruct both continuous and discontinuous modulus fields in the presence of noise.

混合弹性反问题直接解变分公式的计算比较
我们考虑从物体内部位移场的测量中重建物体内部复杂剪切模量分布的反问题。在动态弹性成像领域,剪切模量被用于各种疾病的无创检测和诊断。假定位移服从标量波模型。我们将先前提出的本构方程(DECE)和方程误差(EE)公式中的直接误差扩展到标量波反问题,并将它们相互比较以及对同一问题的其他三种直接方法进行比较。所考虑的所有方法在某些情况下都表现良好。只有DECE和EE在所有考虑的场景中表现良好。特别是,只有DECE和EE方法才能在存在噪声的情况下准确地重建连续和不连续的模场。
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来源期刊
CiteScore
5.70
自引率
6.90%
发文量
276
审稿时长
5.3 months
期刊介绍: The International Journal for Numerical Methods in Engineering publishes original papers describing significant, novel developments in numerical methods that are applicable to engineering problems. The Journal is known for welcoming contributions in a wide range of areas in computational engineering, including computational issues in model reduction, uncertainty quantification, verification and validation, inverse analysis and stochastic methods, optimisation, element technology, solution techniques and parallel computing, damage and fracture, mechanics at micro and nano-scales, low-speed fluid dynamics, fluid-structure interaction, electromagnetics, coupled diffusion phenomena, and error estimation and mesh generation. It is emphasized that this is by no means an exhaustive list, and particularly papers on multi-scale, multi-physics or multi-disciplinary problems, and on new, emerging topics are welcome.
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