A quadratic optimization program for the inverse elastography problem

IF 1.2 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Journal of Mathematics in Industry Pub Date : 2024-08-19 DOI:10.1186/s13362-024-00156-7
Sílvia Barbeiro, Rafael Henriques, José Luis Santos
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Abstract

In this work we focus on the development of a numerical algorithm for the inverse elastography problem. The goal is to perform an efficient material parameter identification knowing the elastic displacement field induced by a mechanical load. We propose to define the inverse problem through a quadratic optimization program which uses the direct problem formulation to define the objective function. In this way, we end up with a convex minimization problem which attains its minimum at the solution of a linear system. The effectiveness of our method is illustrated through numeral examples.
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反弹性成像问题的二次优化程序
在这项工作中,我们重点开发了一种用于反弹性成像问题的数值算法。我们的目标是在了解机械载荷引起的弹性位移场的情况下,进行有效的材料参数识别。我们建议通过二次优化程序来定义逆问题,该程序使用直接问题公式来定义目标函数。这样,我们就得到了一个凸最小化问题,该问题在线性系统的解中达到最小值。我们将通过数字示例来说明我们方法的有效性。
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来源期刊
Journal of Mathematics in Industry
Journal of Mathematics in Industry MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
5.00
自引率
0.00%
发文量
12
审稿时长
13 weeks
期刊最新文献
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