Cappon Derek J, Farrell Thomas J, Fang Qiyin, Hayward Joseph E
Radiation Sciences Graduate Program, McMaster University, 1280 Main St. W, Hamilton, Ontario L8S 4K1, Canada.
Department of Engineering Physics, McMaster University, 1280 Main St. W, Hamilton, Ontario L8S 4L7, Canada.
Rev Sci Instrum. 2016 Dec;87(12):123112. doi: 10.1063/1.4973122.
Optical spectroscopy of human tissue has been widely applied within the field of biomedical optics to allow rapid, in vivo characterization and analysis of the tissue. When designing an instrument of this type, an imaging spectrometer is often employed to allow for simultaneous analysis of distinct signals. This is especially important when performing spatially resolved diffuse reflectance spectroscopy. In this article, an algorithm is presented that allows for the automated processing of 2-dimensional images acquired from an imaging spectrometer. The algorithm automatically defines distinct spectrometer tracks and adaptively compensates for distortion introduced by optical components in the imaging chain. Crosstalk resulting from the overlap of adjacent spectrometer tracks in the image is detected and subtracted from each signal. The algorithm's performance is demonstrated in the processing of spatially resolved diffuse reflectance spectra recovered from an Intralipid and ink liquid phantom and is shown to increase the range of wavelengths over which usable data can be recovered.
人体组织的光学光谱技术已在生物医学光学领域得到广泛应用，用于对组织进行快速的体内表征和分析。在设计此类仪器时，通常会采用成像光谱仪来同时分析不同的信号。这在进行空间分辨漫反射光谱分析时尤为重要。本文提出了一种算法，可对从成像光谱仪获取的二维图像进行自动处理。该算法能自动定义不同的光谱仪轨迹，并自适应补偿成像链中光学元件引入的失真。检测并从每个信号中减去图像中相邻光谱仪轨迹重叠导致的串扰。该算法在处理从脂质乳剂和墨水液体模型中恢复的空间分辨漫反射光谱时的性能得到了验证，结果表明其可增加能够恢复可用数据的波长范围。
