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논문 기본 정보

자료유형
학술대회자료
저자정보
Yusuke Kurose (The University of Tokyo) Young Min Baek (The University of Tokyo) Yuya Kamei (The University of Tokyo) Shinichi Tanaka (The University of Tokyo) Kanako Harada (The University of Tokyo) Shigeo Sora (Tokyo Metropolitan Police Hospital) Akio Morita (Nippon Medical School) Naohiko Sugita (The University of Tokyo) Mamoru Mitsuishi (The University of Tokyo)
저널정보
제어로봇시스템학회 제어로봇시스템학회 국제학술대회 논문집 ICCAS 2013
발행연도
2013.10
수록면
627 - 630 (4page)

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초록· 키워드

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Surgical needle tracking is an important element of high-level automated operations conducted by surgical robotic systems. However, conventional needle tracking algorithms lack robust performancewith different needle postures and are not applicable to the small needles used during microsurgery. This paper discusses a robust, efficient needle tracking algorithm, which is capable of estimating all of the positions and of the postures of a microsurgical needle. In the preoperative preparation stage, contour models of the microsurgical needle are generated using a 3-D CAD model and saved in a database. During the operation, the system extracts the contours of the microsurgical needle from the microscopic image using the edge and the color information. The system then calculates the likelihood of the contour models in the database bymatching the contours extracted fromthemicroscopic image. The experimental results indicated that our proposed method has high accuracy when tracking a microsurgical needle, and that it performed robustly with different needle postures.

목차

Abstract
1. INTRODUCTION
2. PROPOSED ALGORITHM
3. EXPERIMENTS
4. CONCLUSION
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