By a News Reporter-Staff News Editor at Robotics & Machine Learning -- Investigators discuss new findings in Medical Robotics. According to news reporting out of Athens, Greece, by VerticalNews editors, research stated, "BackgroundDespite the popular use of virtual and physical reality simulators in laparoscopic training, the educational potential of augmented reality (AR) has not received much attention. A major challenge is the robust tracking and three-dimensional (3D) pose estimation of the endoscopic instrument, which are essential for achieving interaction with the virtual world and for realistic rendering when the virtual scene is occluded by the instrument."
Our news journalists obtained a quote from the research from the University of Athens, "In this paper we propose a method that addresses these issues, based solely on visual information obtained from the endoscopic camera. MethodsTwo different tracking algorithms are combined for estimating the 3D pose of the surgical instrument with respect to the camera. The first tracker creates an adaptive model of a colour strip attached to the distal part of the tool (close to the tip). The second algorithm tracks the endoscopic shaft, using a combined Hough-Kalman approach. The 3D pose is estimated with perspective geometry, using appropriate measurements extracted by the two trackers. ResultsThe method has been validated on several complex image sequences for its tracking efficiency, pose estimation accuracy and applicability in AR-based training. Using a standard endoscopic camera, the absolute average error of the tip position was 2.5mm for working distances commonly found in laparoscopic training. The average error of the instrument's angle with respect to the camera plane was approximately 2 degrees. The results are also supplemented by video segments of laparoscopic training tasks performed in a physical and an AR environment. ConclusionsThe experiments yielded promising results regarding the potential of applying AR technologies for laparoscopic skills training, based on a computer vision framework. The issue of occlusion handling was adequately addressed."
According to the news editors, the research concluded: "The estimated trajectory of the instruments may also be used for surgical gesture interpretation and assessment."
For more information on this research see: An integrated approach to endoscopic instrument tracking for augmented reality applications in surgical simulation training. International Journal of Medical Robotics and Computer Assisted Surgery, 2013;9(4):E34-E51. International Journal of Medical Robotics and Computer Assisted Surgery can be contacted at: Wiley-Blackwell, 111 River St, Hoboken 07030-5774, NJ, USA. (Wiley-Blackwell - www.wiley.com/; International Journal of Medical Robotics and Computer Assisted Surgery - onlinelibrary.wiley.com/journal/10.1002/(ISSN)1478-596X)
Our news journalists report that additional information may be obtained by contacting C. Loukas, University of Athens, Sch Med, Simulat Center, Medical Phys Lab, GR-11527 Athens, Greece. Additional authors for this research include V. Lahanas and E. Georgiou.
Keywords for this news article include: Athens, Greece, Europe, Surgery, Endoscopy, Laparoscopy, Medical Robotics,
Our reports deliver fact-based news of research and discoveries from around the world. Copyright 2014, NewsRx LLC