Zhou Xuewen, Akhlaghi Nima, Wear Keith A, Garra Brian S, Pfefer T Joshua, Vogt William C
Fischell Department of Bioengineering, University of Maryland, College Park, MD, 02742, United States.
Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD 20993, United States.
Photoacoustics. 2020 Apr 18;19:100181. doi: 10.1016/j.pacs.2020.100181. eCollection 2020 Sep.
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 (SO). The DDM algorithm achieved similar spectral recovery and SO 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.
多光谱光声成像（MPAI）是一种很有前景的新兴诊断技术，但fluence伪影会降低设备性能。我们的目标是开发经过充分验证的基于体模的测试方法，用于评估和比较MPAI fluence校正算法，包括启发式扩散近似、蒙特卡罗模拟，以及我们基于扩散偶极子模型（DDM）的新应用开发的一种算法。体模模拟了一系列仿乳腺光学特性，并包含填充有发色团溶液（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（SO）的血流回路。DDM算法以较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SO测量精度，有可能提供一种准确的实时校正方法。算法对光学特性不确定性敏感，但通过匹配体模反照率可将误差降至最低。所开发的测试方法可为MPAI fluence校正算法性能的标准化评估提供基础。
