Intelligent navigation systems: Adaptive endoscopic navigation strategies for complex intestinal environments by combining the biomechanics

  • Xinyu Ma State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
  • Jinyang Gao State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
  • He Huang Department of Gastrointestinal Surgery, First Hospital of Shanxi Medical University, Taiyuan 030001, China
  • Jingyao Zhang State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
  • Chenzhi Lu State Key Laboratory of Dynamic Measurement Technology, North University of China, Taiyuan 030051, China
  • Guozheng Yan School of Biomedical Engineering, Shanghai Jiaotong University, Shanghai 200240, China
DOI: https://doi.org/10.62617/mcb1648
Keywords: navigation; intelligent system; biomechanics; computer-assisted navigation; adaptive strategy
Article ID: 1648

Abstract

The advancement of endoscopic visual navigation is critical for accurate diagnosis and treatment of colonic disease. However, traditional techniques face challenges in adaptability to complex colonic conditions. This is exemplified by their limited ability to respond effectively to different situations, which results in less accurate navigation planning. This study proposes a navigation system to overcome this issue and improve navigation adaptability. An adaptive strategy has been designed based on a multidimensional discrimination method to guide endoscopes in traversing complex colonic environments. This strategy takes into account the biomechanical properties of the colon, such as tissue flexibility and kinematic characteristics, enhancing navigation accuracy. Furthermore, specific strategies for calculating navigation points have been developed for colonic collapses and tumors to ensure effective navigation under various biomechanical conditions. In simulated tests for the colon model, the system achieved an overall success rate of 92.5% (multiple scenarios), with average deviations of 3.15 mm horizontally and 2.51 mm vertically. Additionally, the system is characterized by its ease of operation, thereby reducing the reliance on operational experience and protracted training. By combining the principles of biomechanics, this study not only improves the accuracy of endoscopic navigation but also provides a new perspective for the treatment of colon diseases and emphasizes the importance of biomechanics in clinical applications.

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Published
2025-03-17
How to Cite
Ma, X., Gao, J., Huang, H., Zhang, J., Lu, C., & Yan, G. (2025). Intelligent navigation systems: Adaptive endoscopic navigation strategies for complex intestinal environments by combining the biomechanics. Molecular & Cellular Biomechanics, 22(4), 1648. https://doi.org/10.62617/mcb1648
Issue
Vol. 22 No. 4 (2025)
Section
Article

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