关于微波断层扫描中邻接法的使用。

IF 2.2 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Damla Alptekin Soydan, Can Barış Top, Nevzat G. Gençer
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引用次数: 0

摘要

在微波成像中,邻接法被广泛用于有效计算更新方向,然后用于更新未知的模型参数。然而,由于成像场景和应用的优化算法不同,邻接法的使用和表述也大相径庭。由于临界计算方法的特定问题性质,临界计算方法之间的相似性可能会被忽视。在此,我们将邻接法分为两类:直接法和间接法。直接法是计算成本函数的导数,而间接法是计算预测数据的导数。在本综述中,将介绍、比较和讨论直接和间接邻接法。这些公式是利用频域和时域的二维波方程明确推导出来的。通过有限差分时域仿真,展示了在单信号源-多接收器和多收发器情况下使用不同的邻接法。这项研究表明,选择适当的辅助方法对提高应用优化算法的计算效率非常重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

On the utilization of the adjoint method in microwave tomography

On the utilization of the adjoint method in microwave tomography

On the utilization of the adjoint method in microwave tomography

In microwave imaging, the adjoint method is widely used for the efficient calculation of the update direction, which is then used to update the unknown model parameter. However, the utilization and the formulation of the adjoint method differ significantly depending on the imaging scenario and the applied optimization algorithm. Because of the problem-specific nature of the adjoint formulations, the dissimilarities between the adjoint calculations may be overlooked. Here, we have classified the adjoint method formulations into two groups: the direct and indirect methods. The direct method involves calculating the derivative of the cost function, whereas, in the indirect method, the derivative of the predicted data is calculated. In this review, the direct and indirect adjoint methods are presented, compared, and discussed. The formulations are explicitly derived using the two-dimensional wave equation in frequency and time domains. Finite-difference time-domain simulations are conducted to show the different uses of the adjoint methods for both single source-multiple receiver, and multiple transceiver scenarios. This study demonstrated that an appropriate adjoint method selection is significant to achieve improved computational efficiency for the applied optimization algorithm.

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来源期刊
International Journal for Numerical Methods in Biomedical Engineering
International Journal for Numerical Methods in Biomedical Engineering ENGINEERING, BIOMEDICAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.50
自引率
9.50%
发文量
103
审稿时长
3 months
期刊介绍: All differential equation based models for biomedical applications and their novel solutions (using either established numerical methods such as finite difference, finite element and finite volume methods or new numerical methods) are within the scope of this journal. Manuscripts with experimental and analytical themes are also welcome if a component of the paper deals with numerical methods. Special cases that may not involve differential equations such as image processing, meshing and artificial intelligence are within the scope. Any research that is broadly linked to the wellbeing of the human body, either directly or indirectly, is also within the scope of this journal.
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