Development of angle information system to facilitate the adjustment of needle-holding posture

Yang Cao, Li Liu, Satoshi Miura, Masaki Seki, Yo Kobayashi, Kazuya Kawamura, Masakatsu G. Fujie

Research output: Contribution to journalArticle

Abstract

Purpose: Our purpose is to develop a system based on image processing methods that can inform users of the angular relationship between the needle and the forceps. The user thereby adjusts their needle grasping posture according to the angle information, which leads to an improvement in suturing accuracy. Methods: The system prototype consists of a camera and an image processing computer. The image captured by the camera is input to the computer, and then, the angular relationship between the forceps and needle is calculated via image processing. Then, the system informs the user of the calculated angular relationship between the needle and forceps in real time. To evaluate whether the system improves suturing accuracy, we invited 12 participants to enroll in an experiment based on a suturing task. Results: The experimental results illustrate that the system allows participants to easily adjust the positional relationship between the needle and the forceps and that this adjusted angular relationship leads to higher suturing accuracy. Conclusions: Adjustment to holding the needle at a right angle before insertion has a critical effect on suturing quality. Therefore, we developed a system that informs the user of the angular relationship between the needle and the forceps. The results of the evaluation show that the system significantly improves the suturing accuracy of participants via informing them of the angle.

Original languageEnglish
Pages (from-to)2003-2013
Number of pages11
JournalInternational Journal of Computer Assisted Radiology and Surgery
Volume12
Issue number11
DOIs
Publication statusPublished - 2017 Nov 1

Keywords

  • Image processing
  • Laparoscopic training
  • Needle holding
  • Posture informing

ASJC Scopus subject areas

  • Surgery
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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