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A marker-based contactless catheter-sensing method to detect surgeons’ operations for catheterization training systems

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Abstract

It is challenging to position a catheter or a guidewire within a patient’s complicated and delicate vascular structure due to the lack of intuitive visual feedback by only manipulating the proximal part of the surgical instruments. Training is therefore critical before an actual surgery because any mistake due to the surgeon’s inexperience can be fatal for the patient. The catheter manipulation skills of experienced surgeons can be useful as input for training novice surgeons. However, few research groups focused on designs with consideration of the contactless catheter motion measurement, which allows obtaining expert surgeons’ catheter manipulation trajectories whilst still allowing them to employ an actual catheter and apply conventional pull, push and twist of the catheter as used in bedside intravascular interventional surgeries. In this paper, a novel contactless catheter-sensing method is proposed to measure the catheter motions by detecting and tracking a passive marker with four feature-point groups. The passive marker is designed to allow simultaneously sensing the translational and rotational motions of the input catheter. Finally, the effectiveness of the proposed contactless catheter-sensing method is validated by conducting a series of comparison experiments. The accuracy and error analysis are quantified based on the absolute error, relative error, mean absolute error, and the success rate of the detection.

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Acknowledgments

This research is partly supported by National Natural Science Foundation of China (61375094), National High Tech. Research and Development Program of China (No.2015AA043202), and SPS KAKENHI Grant Number 15 K2120.

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Authors and Affiliations

  1. Graduate School of Engineering, Kagawa University, Takamatsu, Japan

    Jin Guo & Maoxun Li

  2. Key Laboratory of Convergence Medical Engineering, System and Healthcare Technology, The Ministry of Industry and Information Technology, School of Life Science, Beijing Institute of Technology, No. 5, Zhongguancun South Street, Haidian District, Beijing, 100081, China

    Shuxiang Guo

  3. Department of Intelligent Mechanical Systems Engineering, Kagawa University, Takamatsu, Kagawa, Japan

    Shuxiang Guo

  4. Department of Neurological, Surgery Faculty of Medicine, Kagawa University, Takamatsu, Kagawa, Japan

    Takashi Tamiya

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  1. Jin Guo
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Correspondence to Shuxiang Guo.

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Guo, J., Guo, S., Li, M. et al. A marker-based contactless catheter-sensing method to detect surgeons’ operations for catheterization training systems. Biomed Microdevices 20, 76 (2018). https://doi.org/10.1007/s10544-018-0321-5

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