Evaluation of Fluence Correction Algorithms in Multispectral Photoacoustic Imaging
Evaluation of Fluence Correction Algorithms in Multispectral Photoacoustic Imaging
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DOI：
10.1016/j.pacs.2020.100181
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发表时间：
2020-09-01
期刊：
影响因子：
7.9
通讯作者：
Vogt, William C.
中科院分区：
文献类型：
--
作者：
Zhou, Xuewen;Akhlaghi, Nima;Vogt, William C.
多光谱光声成像(MPAI)是一种很有前途的新兴诊断技术，但通量伪影会降低设备性能。我们的目标是开发有效的基于体模的测试方法来评估和比较MPAI通量校正算法，包括启发式扩散近似、蒙特卡罗模拟和我们基于扩散偶极子模型(DDM)的新应用开发的算法。模体模拟了一系列模仿乳房的光学特性，并包含充满发色团溶液(墨水、血红蛋白或硫酸铜)的通道，或连接到先前开发的提供可调氧饱和度(SO2)的血流回路。DDM算法以更低的计算成本实现了与基于蒙特卡罗的校正相似的光谱恢复和SO2测量精度，潜在地提供了一种准确、实时的校正方法。算法对光学性质的不确定性很敏感，但通过匹配模反照率将误差降至最低。所开发的测试方法可为MPAI通量校正算法性能的标准化评估提供基础。
Multispectral photoacoustic imaging (MPAI) is a promising emerging diagnostic technology, but fluence artifacts can degrade device performance. Our goal was to develop well-validated phantom-based test methods for evaluating and comparing MPAI fluence correction algorithms, including a heuristic diffusion approximation, Monte Carlo simulations, and an algorithm we developed based on novel application of the diffusion dipole model (DDM). Phantoms simulated a range of breast-mimicking optical properties and contained channels filled with chromophore solutions (ink, hemoglobin, or copper sulfate) or connected to a previously developed blood flow circuit providing tunable oxygen saturation (SO2). The DDM algorithm achieved similar spectral recovery and SO2 measurement accuracy to Monte Carlo-based corrections with lower computational cost, potentially providing an accurate, real-time correction approach. Algorithms were sensitive to optical property uncertainty, but error was minimized by matching phantom albedo. The developed test methods may provide a foundation for standardized assessment of MPAI fluence correction algorithm performance.