PhocoSpace: An open-source simulation package to implement photoacoustic spatial coherence theory
PhocoSpace: An open-source simulation package to implement photoacoustic spatial coherence theory
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DOI：
10.1109/ius54386.2022.9958309
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发表时间：
2022-10
期刊：
影响因子：
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通讯作者：
Michelle T. Graham;M. Bell
中科院分区：
文献类型：
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作者：
Michelle T. Graham;M. Bell
我们之前开发了一种新的光声空间相干理论，并证明了它能够模拟和优化广泛的光声短滞后空间相干（SLSC）成像参数、目标几何形状和光剖面尺寸。认识到这一理论应用的广泛潜力，我们开发了PhocoSpace，一个开源工具箱来模拟在换能器空间维度相关的光声信号的相干性。PhocoSpace是作为MATLAB扩展提供的，本文作为介绍性用户手册，包含说明工具箱功能的教程。目标几何形状、成像平面内的能量分布和描述声波接收器的参数（例如，换能器元件间距、带宽、孔径大小）都可以定制，以模拟实验设置、临床场景和成像设备规格。我们证明了PhocoSpace是一个灵活的硅工具，可以预测光声空间相干函数，确定预期的光声SLSC图像质量，并表征多种可能的基于相干的光声图像优化，而不需要冗长的实验数据采集。此外，该软件包为未来研究其他基于光声空间相干的信号处理方法奠定了基础。
We previously developed a novel photoacoustic spatial coherence theory and demonstrated its ability to model and optimize a wide range of photoacoustic short-lag spatial coherence (SLSC) imaging parameters, target geometries, and light profile sizes. Recognizing the broad potential of this theoretical application, we developed PhocoSpace, an open-source toolbox to simulate the coherence of photoacoustic signals correlated in the transducer space dimension. PhocoSpace is provided as a MATLAB extension, and this paper serves as an introductory user manual containing tutorials to illustrate toolbox capabilities. Target geometries, fluence distributions within an imaging plane, and parameters describing acoustic receivers (e.g., transducer element pitch, bandwidth, aperture size) may each be customized to model experimental setups, clinical scenarios, and imaging equipment specifications. We demonstrate that PhocoSpace is a flexible in silico tool to predict photoacoustic spatial coherence functions, determine expected photoacoustic SLSC image quality, and characterize multiple possible coherence-based photoacoustic image optimizations without requiring lengthy experimental data acquisition. In addition, this software package establishes a foundation for future investigations into alternative photoacoustic spatial coherence-based signal processing methods.