Abstract
This paper presents an efficient method to realize space registration in percutaneous robot-assisted lung cancer cryosurgery guided by Computer Tomography (CT). Based on the positions of the fiducial markers on patient’s body, the space registration is established to transform the surgical plan on preoperatively taken images to robot space to compute robot commands. To overcome limitations of using other media to position markers, an optical tracking system using visible light is adopted in this paper. Markers are designed to be identified by both the CT and the tracking system. Through experiments, the accuracy of the registration can satisfy the clinical requirement. Compared to previous methods, the method takes much less time and simplifies the manipulation of the registration process.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Paul, M.: Novotny: 3D Ultrasound in Robotic Surgery: Performance Evaluation with Stereo Displays. Int. J. Med. Robotics and Comput. Assist. Surg. 2, 279–285 (2006)
Lin, A.W.: Electromagnetic Navigation Improves Minimally Invasive Robot-Assisted Lung Brachytherapy. Computer Aided Surgery 13, 114–123 (2008)
Galloway, R.L.: An Optical Device for Interactive, Image-Guided Neurosurgery. In: Engineering in Medicine and Biology Society, Proceedings of the 15th Annual International Conference of the IEEE, pp. 954–955 (1993)
Mogami, T., Dohi, M., Harada, J.: A New Image Navigation System for MR-Guided Cryosurgery. Magnetic Resonance in Medical Science 1(4), 191–197 (2002)
Zhu, Y.: A Vision-calibration Method Facing Robot-Assisted Neurosurgery. Chinese High Technology Letters 14(11), 69–74 (2004)
Huang, R., Deng, Z., Liu, D., Wang, T.: Design and Accuracy Analysis of Visual Navigation System in Robot Assisted Neurosurgery. Robot Technique and Application (1), 32–37 (2007)
Micron Tracker Developer’s Manual MTC 2.5. Claron Technology Inc (2003-2006)
Jiang, D.: Space Analytic Geometry and Application. Science Press, China (2004)
Castleman, K.R.: Digital Image Processing. Publishing House of Electronics Industry, China (2002)
Gander, W., Golub, G.H., Strebel, R.: Least-Squares Fitting of Circles and Ellipses. BIT 34, 558–578 (1994)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chen, H., Cao, T., Liu, D., Tang, C. (2008). An Efficient Method to Realize Space Registration in Image-Guided Robot-Assisted Surgery. In: Xiong, C., Huang, Y., Xiong, Y., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2008. Lecture Notes in Computer Science(), vol 5314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88513-9_80
Download citation
DOI: https://doi.org/10.1007/978-3-540-88513-9_80
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88512-2
Online ISBN: 978-3-540-88513-9
eBook Packages: Computer ScienceComputer Science (R0)