Ahmed Zemirline1, Vincent Agnus2, Luc Soler2, Christophe L Mathoulin3, Miryam Obdeijn4, Philippe A Liverneaux5. 1. Department of Hand Surgery, Strasbourg University Hospitals, France ; Institut de Recherche sur les Cancers de l'Appareil Digestifs, Strasbourg, France. 2. Institut de Recherche sur les Cancers de l'Appareil Digestifs, Strasbourg, France. 3. Institut de la Main, Paris, France. 4. Department of Plastic, Reconstruction, and Hand Surgery, Academic Medical Center, University of Amsterdam, The Netherlands. 5. Department of Hand Surgery, Strasbourg University Hospitals, France.
Abstract
PURPOSE: In video surgery, and more specifically in arthroscopy, one of the major problems is positioning the camera and instruments within the anatomic environment. The concept of computer-guided video surgery has already been used in ear, nose, and throat (ENT), gynecology, and even in hip arthroscopy. These systems, however, rely on optical or mechanical sensors, which turn out to be restricting and cumbersome. The aim of our study was to develop and evaluate the accuracy of a navigation system based on electromagnetic sensors in video surgery. METHODS: We used an electromagnetic localization device (Aurora, Northern Digital Inc., Ontario, Canada) to track the movements in space of both the camera and the instruments. We have developed a dedicated application in the Python language, using the VTK library for the graphic display and the OpenCV library for camera calibration. RESULTS: A prototype has been designed and evaluated for wrist arthroscopy. It allows display of the theoretical position of instruments onto the arthroscopic view with useful accuracy. DISCUSSION: The augmented reality view represents valuable assistance when surgeons want to position the arthroscope or locate their instruments. It makes the maneuver more intuitive, increases comfort, saves time, and enhances concentration.
PURPOSE: In video surgery, and more specifically in arthroscopy, one of the major problems is positioning the camera and instruments within the anatomic environment. The concept of computer-guided video surgery has already been used in ear, nose, and throat (ENT), gynecology, and even in hip arthroscopy. These systems, however, rely on optical or mechanical sensors, which turn out to be restricting and cumbersome. The aim of our study was to develop and evaluate the accuracy of a navigation system based on electromagnetic sensors in video surgery. METHODS: We used an electromagnetic localization device (Aurora, Northern Digital Inc., Ontario, Canada) to track the movements in space of both the camera and the instruments. We have developed a dedicated application in the Python language, using the VTK library for the graphic display and the OpenCV library for camera calibration. RESULTS: A prototype has been designed and evaluated for wrist arthroscopy. It allows display of the theoretical position of instruments onto the arthroscopic view with useful accuracy. DISCUSSION: The augmented reality view represents valuable assistance when surgeons want to position the arthroscope or locate their instruments. It makes the maneuver more intuitive, increases comfort, saves time, and enhances concentration.
Authors: Francisco del Piñal; Francisco J García-Bernal; Daniele Pisani; Javier Regalado; Higinio Ayala; Alexis Studer Journal: J Hand Surg Am Date: 2007-01 Impact factor: 2.230
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