Modeling kinematics of mobile C-arm and operating table as an integrated six degrees of freedom imaging system

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Abstract

Maneuvering mobile C-arms to a desired position and orientation during surgery is not only a routine surgical task, e.g. for C-arm repositioning, but also an indispensable step for advanced X-ray imaging techniques, e.g. parallax-free X-ray image stitching. Standard mobile C-arms have only five degrees of freedom (DOF), which definitely restricts their motions that have six DOF in 3D Cartesian space. In this paper, we enable the mobile C-arm to have six DOF relative to the patient's table by integrating a translational movement of the patient's table into the mobile C-arm kinematics. We present a novel method to model the kinematics of the mobile C-arm and operating table as an integrated 6DOF C-arm X-ray imaging system. Kinematic singularities of the 6DOF C-arm model are determined by analyzing its manipulator Jacobian matrix. Inverse kinematic analysis is employed in order to find the required joint values to move the C-arm into the desired position and orientation. Our proposed 6DOF C-arm modeling paves the way for advanced applications in the fields of surgical navigation and advanced X-ray imaging that require C-arms to be precisely positioned or repositioned relative to the patient's table with six DOF. In our implementation, we employ a visual planar marker pattern and a standard mobile C-arm augmented by a video camera in order to obtain a relationship between the C-arm system and the patient's table. C-arm repositioning experiments on phantom study demonstrate the practicality and accuracy of our developed 6DOF C-arm system, and show the improved accuracy of C-arm repositioning by using the 6DOF C-arm model over the 5DOF C-arm model. © 2010 Springer-Verlag.

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Wang, L., Zou, R., Weidert, S., Landes, J., Euler, E., Burschka, D., & Navab, N. (2010). Modeling kinematics of mobile C-arm and operating table as an integrated six degrees of freedom imaging system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6326 LNCS, pp. 485–493). https://doi.org/10.1007/978-3-642-15699-1_51

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