Murasovs, N., Francescon, V., Lloyd, P. et al. (6 more authors) (2024) Breathing Compensation in Magnetic Robotic Bronchoscopy via Shape Forming. IEEE Robotics and Automation Letters, 9 (10). pp. 9055-9062. ISSN 2377-3766
Abstract
Despite the increased interest in robotic systems designed for bronchoscopy, the influence of the bronchial tree dynamics remains relatively unexplored. To enable robotic solutions to perform successful autonomous navigations whilst minimizing contact with the internal anatomy, they must be capable of adapting to ongoing geometric changes caused by the respiratory cycle. In this paper, we introduce a method for parameterizing these cyclic changes and present a flexible magnetic robotic catheter design that adapts its shape dynamically. Three bronchial branches (up to 4th generation bronchioles) with diverse shapes were investigated to examine the feasibility and efficacy of this approach. Reference anatomical geometry was taken from an open-source dynamic computed tomography patient dataset, and was evaluated over the breathing cycle to develop patient- and branch-specific magnetic catheter profiles and associated time-varying external magnetic fields. The system was demonstrated using dynamic Helmholtz coil actuation and showed a mean error in replicating the centerline of each of the three branches over the entire navigation of 2.1 mm, 1.4 mm, and 1.9 mm respectively.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Medical robots and systems; surgical robotics: steerable catheters/needles |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) ?? Leeds.SR-CWEE ?? |
Depositing User: | Symplectic Publications |
Date Deposited: | 16 Oct 2024 15:58 |
Last Modified: | 16 Oct 2024 15:58 |
Status: | Published |
Publisher: | Institute of Electrical and Electronics Engineers |
Identification Number: | 10.1109/lra.2024.3426385 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:218328 |