Autonomous Magnetic Navigation Framework for Active Wireless Capsule Endoscopy Inspired by Conventional Colonoscopy Procedures

In recent years, simultaneous magnetic actuation and localization (SMAL) for active wireless capsule endoscopy (WCE) has been intensively studied to improve the efficiency and accuracy of gastrointestinal (GI) examination using WCE. In this letter, we draw inspiration from the conventional colonosco...

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Bibliographic Details
Published in:IEEE robotics and automation letters Vol. 7; no. 2; pp. 1729 - 1736
Main Authors: Xu, Yangxin, Li, Keyu, Zhao, Ziqi, Meng, Max Q.-H.
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.04.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Actuation
Algorithms
Autonomous navigation
Colonoscopy
Endoscopes
Endoscopy
Engineering for robotic systems
Intestine
Magnetic separation
medical robots and systems
methods and tools for robot system design
Navigation
Robot sensing systems
Robots
Trajectory
ISSN:2377-3766, 2377-3766
Online Access:Get full text
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Summary:In recent years, simultaneous magnetic actuation and localization (SMAL) for active wireless capsule endoscopy (WCE) has been intensively studied to improve the efficiency and accuracy of gastrointestinal (GI) examination using WCE. In this letter, we draw inspiration from the conventional colonoscopy procedures and propose an autonomous navigation framework for active WCE based on SMAL technologies, in order to realize efficient and accurate navigation of a robotic capsule endoscope in unknown tubular environments (e.g., intestines) with minimal user effort. First, the capsule is actuated to explore the unknown tubular environment using an automatic propulsion algorithm, and a viable path to represent the environment is generated. Then, the capsule is navigated towards any user-selected point on the trajectory using a trajectory following algorithm, to allow accurate and repeated inspections of suspicious lesions. We implement the navigation framework on a robotic system incorporated with advanced SMAL algorithms, and validate it in the navigation experiments in various tubular environments including phantoms and ex-vivo pig colons. Our results demonstrate that the proposed framework can effectively navigate the capsule in unknown, complex tubular environments with a satisfactory accuracy, repeatability and efficiency.
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ISSN:2377-3766
2377-3766
DOI:10.1109/LRA.2022.3141378