用于生物医疗信息采集的多光谱均匀光源系统

Multispectral uniform light source system for acquisition of biomedical information

  • 摘要: 多光谱成像是无创观察生物组织的有效工具,提高光源的辐照均匀性将更有利于准确获取病理组织的多光谱数据。提出基于积分球的多光谱均匀光源系统,为生物组织的多光谱数据采集提供均匀辐照。基于蒙特卡罗光线追迹法对积分球腔体的取位方式进行选择,并对腔体大小、LED布局、积分球输出槽尺寸进行了优化,以确定结构模型的最佳参数;根据优化参数构造了集成11种窄波段LED的实例进行了光学性能验证,实验结果证明所有波段都能在输出槽的主要部分区域实现2%辐照度不均匀性分布;研究了该系统的宽光谱兼容能力,实验结果表明,光谱在输出槽的最大均方根误差为3.74%,具有良好的宽光谱兼容能力;最后,基于所提出的系统进行了静脉可视化测试,用光纤拓展了系统内窥镜的兼容性,并以此探讨了口腔内部牙齿表面病理情况。该系统的多功能性和均匀性在生物医疗图像采集中具有潜在的应用价值。

     

    Abstract: The multispectral imaging is an effective tool for noninvasive observation of biological tissues, and it can further accurately obtain the multispectral data of pathological tissues by improving the irradiance uniformity of the light source. Therefore, the multispectral uniform light source system based on the integrating sphere was proposed to provide uniform irradiance for multispectral data acquisition of biological tissues. First, in order to determine the optimal parameters of the structural model, the design scheme of the integrating sphere was selected based on the Monte Carlo ray tracing method (MCRT), and the cavity size, LED layout, and the output slot size of the integrating sphere were optimized. Then, an example with 11 integrated narrow-band LEDs was constructed for optical performance verification based on the optimized parameters, and the experimental results showed that all the used bands could achieve 2% irradiance nonuniformity distribution in the major part of the output slot. And the broad-spectrum compatibility of the system was studied and the experimental results showed that the maximum root-mean-square error of the spectrum in the output slot was 3.74%, which had good broad-spectrum compatibility. Finally, based on the proposed system, venous visualization tests were performed and the endoscope compatibility of the system was extended with optical fiber and used to investigate the internal dental surface pathology of the oral cavity. The multifunctionality and uniformity of the system has potential applications in biomedical image acquisition.

     

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