论文标题
基于常规成像系统的校准光声光谱仪,用于对比度的体外表征
Calibrated photoacoustic spectrometer based on a conventional imaging system for in vitro characterization of contrast agents
论文作者
论文摘要
光声(PA)成像系统正在生物医学群落中传播,而新的PA对比剂的开发是一个活跃的研究领域。但是,PA对比剂通常以分光光度法或未校准的PA成像系统的特征,从而部分评估其PA效率。为了通过常规PA成像系统在体外对造影剂进行定量PA光谱,我们开发了一种适应的校准方法。溶液中的对比剂被注入在不同光波长下成像的专用非散射管幻象。校准方法使用铜硫酸盐的参考溶液同时纠正管子位置的激发光的光谱能量分布,并在图像中从AR-bitrary到光谱单元中进行管振幅的转换。该方法不需要任何精确的对齐,即使具有不均匀的照明和超声敏感性,也可以提供定量的PA光谱。它是基于在680 nm至980 nm和5 MHz临床超声阵列的可调节激光器基于可调激光器的常规成像设置上实现的。我们证明了校准的PA光谱良好,样品体积低至15μl已知的发色团和常用的对比剂。经过验证的方法将是通过改善其定量表征来解开新的和有效的PA对比剂的必不可少的工具。
Photoacoustic (PA) imaging systems are spreading in the biomedical community, and the de-velopment of new PA contrast agents is an active area of research. However, PA contrast agents are usually characterized with spectrophotometry or uncalibrated PA imaging systems, leading to partial assessment of their PA efficiency. To enable quantitative PA spectroscopy of contrast agents in vitro with conventional PA imaging systems, we have developed an adapted calibration method. Contrast agents in solution are injected in a dedicated non-scattering tube phantom imaged at different optical wavelengths. The calibration method uses a reference solu-tion of cupric sulfate to simultaneously correct for the spectral energy distribution of excitation light at the tube location and perform a conversion of the tube amplitude in the image from ar-bitrary to spectroscopic units. The method does not require any precise alignment and provides quantitative PA spectra, even with non-uniform illumination and ultrasound sensitivity. It was implemented on a conventional imaging setup based on a tunable laser operating between 680 nm and 980 nm and a 5 MHz clinical ultrasound array. We demonstrated robust calibrated PA spectroscopy with sample volumes as low as 15 μL of known chromophores and commonly used contrast agents. The validated method will be an essential and accessible tool for the de-velopment of new and efficient PA contrast agents by improving their quantitative characterization.