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使用理想化压电传感器的光声成像的可解性

Solvability for Photoacoustic Imaging With Idealized Piezoelectric Sensors.

作者信息

Acosta Sebastian

出版信息

IEEE Trans Ultrason Ferroelectr Freq Control. 2020 Nov;67(11):2413-2422. doi: 10.1109/TUFFC.2020.3005037. Epub 2020 Jun 25.

Abstract

Most reconstruction algorithms for photoacoustic imaging assume that the pressure field is measured by the ultrasound sensors placed on a detection surface. However, such sensors do not measure pressure exactly due to their nonuniform directional and frequency responses, and resolution limitations. This is the case for piezoelectric sensors that are commonly employed for photoacoustic imaging. In this article, using the method of matched asymptotic expansions and the basic constitutive relations for piezoelectricity, we propose a simple mathematical model for piezoelectric transducers. The approach simultaneously models how the pressure waves induce the piezoelectric measurements and how the presence of the sensors affects the pressure waves. Using this model, we analyze whether the data gathered by the piezoelectric sensors lead to the mathematical solvability of the photoacoustic imaging problem. We conclude that this imaging problem is well posed in certain normed spaces and under a geometric assumption. We also propose an iterative reconstruction algorithm that incorporates the model for piezoelectric measurements. A numerical implementation of the reconstruction algorithm is presented.

摘要

大多数用于光声成像的重建算法都假定压力场是由放置在检测表面的超声传感器测量的。然而,由于这些传感器的方向和频率响应不均匀以及分辨率限制,它们并不能精确测量压力。这就是光声成像中常用的压电传感器的情况。在本文中,我们使用匹配渐近展开法和压电性的基本本构关系,提出了一种用于压电换能器的简单数学模型。该方法同时对压力波如何引起压电测量以及传感器的存在如何影响压力波进行建模。利用这个模型,我们分析了压电传感器收集的数据是否能导致光声成像问题的数学可解性。我们得出结论,在某些赋范空间和几何假设下这个成像问题是适定的。我们还提出了一种结合压电测量模型 的迭代重建算法。给出了重建算法的数值实现。

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