AI Article Synopsis

  • The paper discusses the limitations of traditional colonoscopy and introduces a new robotic colonoscope designed to improve patient comfort and ease of use for surgeons.
  • It details the use of a visual servo-based control system to enhance the manipulative capabilities of the EAST colonoscope, incorporating advanced detection methods for better tracking and navigation.
  • Results show that the EAST colonoscope successfully reduces user workload and can perform effectively in both simulated and real-life conditions, indicating potential for broader clinical application.

Article Abstract

Objective: Conventional colonoscopy using a flexible colonoscope remains two major limitations, including patient discomfort and difficult manipulations for surgeons. Robotic colonoscopes have been developed to conduct colonoscopy in a patient-friendly manner. However, most robotic colonoscopes still maintain nonintuitive and difficult manipulations, which limits their clinical applications. In this paper, we demonstrated visual servo-based semi-autonomous manipulations of an electromagnetic actuated soft-tethered (EAST) colonoscope, which aims to lower difficulties of robotic colonoscope manipulations.

Methods: Kinematic modeling of EAST colonoscope is conducted, with an adaptive visual servo controller established. Template matching method and a lumen and polyp detection model are developed to enable semi-autonomous manipulations, including region-of-interest automatic tracking and autonomous navigation with automatic polyp detection.

Results: The EAST colonoscope demonstrates visual servoing with an average convergence time of around 2.5 s and performs disturbance rejection within 3.0 s. Semi-autonomous manipulations were conducted in both a commercialized colonoscopy simulator and an ex-vivo porcine colon to show the efficacy of reducing the user workload compared to manual control.

Conclusion: The EAST colonoscope can perform visual servoing and semi-autonomous manipulations with the developed methods in both laboratory and ex-vivo environments.

Significance: The proposed solutions and techniques improve the autonomy level of robotic colonoscopes and reduce user workloads, which promotes the development and clinical translation of robotic colonoscopy.

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Source
http://dx.doi.org/10.1109/TBME.2023.3292336DOI Listing

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