Wang Huiquan, Hu Meng, Xia Fang, Guo Meng, Zhang Shengzhao, Zhao Zhe, Han Guang, Wang Jinhai
School of Life Sciences, Tiangong University, Tianjin 300387, People's Republic of China.
School of Electronic and Information Engineering, Tiangong University, Tianjin 300387, People's Republic of China.
R Soc Open Sci. 2021 Mar 10;8(3):200779. doi: 10.1098/rsos.200779.
In this paper, the signal-to-noise ratios (SNR) of two image channels were enhanced with the fast digital lock-in algorithm. In order to simultaneously improve the quality of white and fluorescence images obtained by fluorescence endoscope, and improve the SNR to achieve a better image processing effect, two sources of white light and near-infrared light of a fluorescence endoscope were modulated, then the acquired images were demodulated into white and fluorescence images. A fluorescent endoscope experimental platform was setup to acquire endoscopic images of a target dyed by indocyanine green. The experimental results showed that the SNR of white and fluorescent images without the lock-in algorithm were 36.56 dB and 33.47 dB, respectively. However, with the lock-in algorithm, the SNR of white and fluorescent images were 39.54 dB and 35.70 dB, respectively. The SNR of white and fluorescent images was increased by 8.2% and 6.7%, respectively, by appling the digital lock-in algorithm. Therefore, this novel fluorescence endoscope based on the fast digital lock-in algorithm can rapidly and simultaneously obtain two-channel images of white light and fluorescence, effectively enhance the SNR of white and fluorescent images, and improve the imaging quality.
本文采用快速数字锁相算法提高了两个图像通道的信噪比。为了同时提高荧光内窥镜获取的白光图像和荧光图像的质量，提高信噪比以获得更好的图像处理效果，对荧光内窥镜的白光和近红外光两个光源进行调制，然后将采集到的图像解调为白光图像和荧光图像。搭建了荧光内窥镜实验平台，采集了经吲哚菁绿染色的目标的内窥镜图像。实验结果表明，未采用锁相算法时，白光图像和荧光图像的信噪比分别为36.56 dB和33.47 dB。然而，采用锁相算法后，白光图像和荧光图像的信噪比分别为39.54 dB和35.70 dB。应用数字锁相算法后，白光图像和荧光图像的信噪比分别提高了8.2%和6.7%。因此，这种基于快速数字锁相算法的新型荧光内窥镜能够快速同时获取白光和荧光的双通道图像，有效提高白光图像和荧光图像的信噪比，改善成像质量。
