Open AccessEnhancement of signal-to-noise ratio for fluorescence endoscope image based on fast digital lock-in algorithm
Author(s) -
Huiquan Wang,
Mengqi Hu,
Fang Xia,
Min Guo,
Shengzhao Zhang,
Zhe Zhao,
Guang Han
Publication year - 2021
Publication title -
royal society open science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.84
H-Index - 51
ISSN - 2054-5703
DOI - 10.1098/rsos.200779
Subject(s) - fluorescence , endoscope , image quality , signal to noise ratio (imaging) , optics , white noise , computer science , signal (programming language) , digital camera , computer vision , lock (firearm) , artificial intelligence , materials science , physics , image (mathematics) , engineering , telecommunications , medicine , radiology , programming language , mechanical engineering
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.