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Anatomical and Vision-Guided Path Generation Method for Nasopharyngeal Swabs Sampling

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Cognitive Systems and Information Processing (ICCSIP 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1787))

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Abstract

Due to the global COVID-19 pandemic, there is a strong demand for pharyngeal swab sampling and nucleic acid testing. Research has shown that the positive rate of nasopharyngeal swabs is higher than that of oropharyngeal swabs. However, because of the high complexity and visual obscuring of the interior nasal cavity, it is impossible to obtain the sampling path information directly from the conventional imaging principle. Through the combination of anatomical geometry and spatial visual features, in this paper, we present a new approach to generate nasopharyngeal swabs sampling path. Firstly, this paper adopts an RGB-D camera to identify and locate the subject’s facial landmarks. Secondly, the mid-sagittal plane of the subject’s head is fitted according to these landmarks. At last, the path of the nasopharyngeal swab movement in the nasal cavity is determined by anatomical geometry features of the nose. In order to verify the validity of the method, the location accuracy of the facial landmarks and the fitting accuracy of mid-sagittal plane of the head are verified. Experiments demonstrate that this method provides a feasible solution with high efficiency, safety and accuracy. Besides, it can solve the problem that the nasopharyngeal robot cannot generate path based on traditional imaging principles. It also provides a key method for automatic and intelligent sampling of nasopharyngeal swabs, and it is of great clinical value to reduce the risk of cross-infection.

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Acknowledgements

This project was supported by National Natural Science Foundation of China (Fund No. 62276028), Tsinghua University Guoqiang Institute (Fund No. 2020GQ0006) and China Postdoctoral Science Foundation (Fund No. 2021M701890).

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Authors and Affiliations

  1. Beijing Information Science and Technology University, Beijing, China

    Jing Luo & Wenbai Chen

  2. Tsinghua University, Beijing, China

    Fuchun Sun, Junjie Ma & Guocai Yao

Authors
  1. Jing Luo
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  2. Wenbai Chen
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  3. Fuchun Sun
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  4. Junjie Ma
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  5. Guocai Yao
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Corresponding author

Correspondence to Fuchun Sun .

Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Fuchun Sun

  2. University of Manchester, Manchester, UK

    Angelo Cangelosi

  3. Universität Hamburg, Hamburg, Germany

    Jianwei Zhang

  4. Fuzhou University, Fuzhou, China

    Yuanlong Yu

  5. Tsinghua University, Beijing, China

    Huaping Liu

  6. Tsinghua University, Beijing, China

    Bin Fang

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Luo, J., Chen, W., Sun, F., Ma, J., Yao, G. (2023). Anatomical and Vision-Guided Path Generation Method for Nasopharyngeal Swabs Sampling. In: Sun, F., Cangelosi, A., Zhang, J., Yu, Y., Liu, H., Fang, B. (eds) Cognitive Systems and Information Processing. ICCSIP 2022. Communications in Computer and Information Science, vol 1787. Springer, Singapore. https://doi.org/10.1007/978-981-99-0617-8_21

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  • DOI: https://doi.org/10.1007/978-981-99-0617-8_21

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-0616-1

  • Online ISBN: 978-981-99-0617-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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