The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2019
Session ID : 1A1-A16
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Quantitative Analysis of Endoscope Operation for Endoscopic Sinus Surgery Training using Self-Position Estimation
Takanori KOBAYASHI*Ryoichi NAKAMURA
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Abstract

Endoscopic sinus surgery (ESS) is the mainstream of modern surgical therapy of sinusitis. ESS requires frequent training doe to the complexity of the operation. As for the method of ESS training, inexpensive and simple one is desired because ESS is a solo-surgery, important organs are close, and so on. Terms of this surgical method are simple implementation and quantitative evaluation without using large external apparatus. In this paper, we acquire information by self-position estimation from endoscopic image using ORB-SLAM instead of the 3D-position measuring device. As a result, it’s suggested that the evaluation using the coordinates acquired from the endoscopic image provides the same analytical capability as in the case of using the conventional large-scale apparatus.

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© 2019 The Japan Society of Mechanical Engineers
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