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Analysis and Design of Surgical Instrument Localization Algorithm

Siyu Lu1, Jun Yang1, Bo Yang1, Zhengtong Yin2, Mingzhe Liu3,*, Lirong Yin4, Wenfeng Zheng1,*

1 School of Automation, University of Electronic Science and Technology of China, Chengdu, 610054, China
2 College of Resource and Environment Engineering, Guizhou University, Guiyang, 550025, China
3 School of Data Science and Artificial Intelligence, Wenzhou University of Technology, Wenzhou, 325000, China
4 Department of Geography and Anthropology, Louisiana State University, Baton Rouge, 70803, USA

* Corresponding Authors: Mingzhe Liu. Email: email; Wenfeng Zheng. Email: email

(This article belongs to the Special Issue: Smart and Secure Solutions for Medical Industry)

Computer Modeling in Engineering & Sciences 2023, 137(1), 669-685. https://doi.org/10.32604/cmes.2023.027417

Abstract

With the help of surgical navigation system, doctors can operate on patients more intuitively and accurately. The positioning accuracy and real-time performance of surgical instruments are very important to the whole system. In this paper, we analyze and design the detection algorithm of surgical instrument location mark, and estimate the posture of surgical instrument. In addition, we optimized the pose by remapping. Finally, the algorithm of location mark detection proposed in this paper and the posture analysis data of surgical instruments are verified and analyzed through experiments. The final result shows a high accuracy.

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APA Style
Lu, S., Yang, J., Yang, B., Yin, Z., Liu, M. et al. (2023). Analysis and design of surgical instrument localization algorithm. Computer Modeling in Engineering & Sciences, 137(1), 669-685. https://doi.org/10.32604/cmes.2023.027417
Vancouver Style
Lu S, Yang J, Yang B, Yin Z, Liu M, Yin L, et al. Analysis and design of surgical instrument localization algorithm. Comput Model Eng Sci. 2023;137(1):669-685 https://doi.org/10.32604/cmes.2023.027417
IEEE Style
S. Lu et al., “Analysis and Design of Surgical Instrument Localization Algorithm,” Comput. Model. Eng. Sci., vol. 137, no. 1, pp. 669-685, 2023. https://doi.org/10.32604/cmes.2023.027417



cc Copyright © 2023 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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