期刊
IEEE ROBOTICS AND AUTOMATION LETTERS
卷 6, 期 3, 页码 4835-4842出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LRA.2021.3067279
关键词
Laparoscopy; medical robots and systems; soft sensors and actuators; surgical robotics
类别
资金
- HK RGC [T42-409/18-R, 14202918]
- Shenzhen-HK Collaborative Development Zone
- Multi-Scale Medical Robotics Centre, InnoHK
- VC Fund of the T Stone Robotics Institute [4930745]
This study presents a novel 3D shape sensing algorithm for flexible endoscopic surgery using multi-core fiber Bragg grating sensors, with a model-based filtering technique and enhanced moving average approach to address signal noises and enhance estimation accuracy.
In this letter, we propose a novel 3D shape sensing algorithm for flexible endoscopic surgery using multi-core fiber Bragg grating (FBG) sensors. Considering the signal noises and environmental perturbations, the direct use of FBG measurements for shape sensing and position estimation is regarded as far from accurate and stable, especially when utilized in the sensing of long and flexible surgical instruments. To solve this problem, a novel and generic model-based filtering technique for the iterative curvature/twist estimation by taking advantage of the configurations of the multi-core FBGs in the optical fiber is introduced to remedy the sensory noises. Besides, we introduce an enhanced moving average approach to smooth the estimated curvatures and twists spatially on the fiber. We extensively validate our algorithm by conducting shape sensing tasks in simulations under varying conditions, and in experiments using a robotic-assisted colonoscope system integrated with a multi-core FBG fiber. The results prove our method substantially outperforms the conventional approach in the aspect of estimation accuracy and robustness, showing the superiority and application feasibility.
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