• Laser & Optoelectronics Progress
  • Vol. 60, Issue 6, 0617003 (2023)
Chunhui Yao1、2, Yang Zhang2, Bin Liu3, Chijian Zhang1, Jiayun Zheng2、4, Xia Wang2, Xu Kang2、5, Quanfu Wang2, Zhongsheng Li2, Yong Liu2, Meili Dong2、*, and Yikun Wang2、**
Author Affiliations
  • 1School of Physics and Electronic Information, Anhui Normal University, Wuhu 241000, Anhui , China
  • 2Anhui Engineering Laboratory for Medical Optical Diagnosis & Treatment Technology and Instrument, Anhui Institute of Optics and Fine Mechanics, Hefei Institute of Physical Science, Chinese Academy of Sciences, Hefei 230026, Anhui , China
  • 3The First Affiliated Hospital, Anhui Medical University, Hefei 230022, Anhui , China
  • 4School of Biomedical Engineering, Anhui Medical University, Hefei 230009, Anhui , China
  • 5Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, Anhui , China
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    DOI: 10.3788/LOP220474 Cite this Article Set citation alerts
    Chunhui Yao, Yang Zhang, Bin Liu, Chijian Zhang, Jiayun Zheng, Xia Wang, Xu Kang, Quanfu Wang, Zhongsheng Li, Yong Liu, Meili Dong, Yikun Wang. Rapid Parathyroid Recognition System Based on Near-Infrared Autofluorescence[J]. Laser & Optoelectronics Progress, 2023, 60(6): 0617003 Copy Citation Text show less

    Abstract

    Based on near-infrared autofluorescence, a rapid identification system for parathyroid glands during surgery is designed, the system is of great value for rapid identification of parathyroid glands during operation. In this research, a ring-shaped adjustable excitation light source and a high-precision adjustable LED constant current source are designed. The near-infrared light source is used to excite tissue fluorescence, and the tissue autofluorescence information is collected by a high-sensitivity CMOS camera. The obtained fluorescence images are processed, accurately identifying parathyroid glands. Simulating tissue fluorescence through gradient concentration of indocyanine green (ICG) solution, the experimentally measured fluorescence intensity is positively correlated with the concentration of ICG, and both the signal-to-noise ratio and signal-to-background ratio meet the requirements for intraoperative discrimination, which verifie the sensitivity and accuracy of the proposed system for different fluorescence intensities. Using this system to test tissue phantoms, the fluorescent phantom can be clearly distinguished from the background. The parathyroid gland and surrounding tissues were tested, and the parathyroid gland is green and clearly distinguished from the surrounding tissues, which preliminarily verifies that the proposed system can be used for the identification and detection of parathyroid glands.
    Chunhui Yao, Yang Zhang, Bin Liu, Chijian Zhang, Jiayun Zheng, Xia Wang, Xu Kang, Quanfu Wang, Zhongsheng Li, Yong Liu, Meili Dong, Yikun Wang. Rapid Parathyroid Recognition System Based on Near-Infrared Autofluorescence[J]. Laser & Optoelectronics Progress, 2023, 60(6): 0617003
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