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Clinical factors affecting the accuracy of a CT‐based active infrared navigation system
Author(s) -
Liu Yajun,
Zhao Jingwei,
Fan Mingxing,
Lv Yanwei,
Liu Wenyong,
Tian Wei
Publication year - 2016
Publication title -
the international journal of medical robotics and computer assisted surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.556
H-Index - 53
eISSN - 1478-596X
pISSN - 1478-5951
DOI - 10.1002/rcs.1693
Subject(s) - computer vision , computer science , navigation system , artificial intelligence , infrared , simulation , optics , physics
Background Computer‐assisted navigation technology has been widely used during spine surgery; however, the desired accuracy cannot be easily obtained and sustained. Our goal was to determine whether and how clinical factors affect the accuracy of a CT‐based active infrared navigation system. Methods Using the Sawbone model, we recorded the clinical accuracy of the navigation system, based on several clinical statuses. Results Clinical accuracy may change when the height or angle of the bed is changed. Within the visible area of the camera, the nearer the distance between the camera and the model, the better the clinical accuracy. The clinical accuracy of the CT‐based active infrared navigation system may decrease due to exposure to shadowless lamps. Conclusions The clinical accuracy of the CT‐based active infrared navigation system may be influenced by the clinical status of shadowless lamps, different distances between the camera and model and different postures of the surgical bed. Copyright © 2015 John Wiley & Sons, Ltd.