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Published in: International Journal of Computer Assisted Radiology and Surgery 11/2017

01-11-2017 | Original Article

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

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

Published in: International Journal of Computer Assisted Radiology and Surgery | Issue 11/2017

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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.
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Metadata
Title
Development of angle information system to facilitate the adjustment of needle-holding posture
Authors
Yang Cao
Li Liu
Satoshi Miura
Masaki Seki
Yo Kobayashi
Kazuya Kawamura
Masakatsu G. Fujie
Publication date
01-11-2017
Publisher
Springer International Publishing
Published in
International Journal of Computer Assisted Radiology and Surgery / Issue 11/2017
Print ISSN: 1861-6410
Electronic ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-017-1617-2

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