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Modeling Kinematics of Mobile C-Arm and Operating Table as an Integrated Six Degrees of Freedom Imaging System

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Medical Imaging and Augmented Reality (MIAR 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6326))

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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.

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Wang, L. et al. (2010). Modeling Kinematics of Mobile C-Arm and Operating Table as an Integrated Six Degrees of Freedom Imaging System. In: Liao, H., Edwards, P.J."., Pan, X., Fan, Y., Yang, GZ. (eds) Medical Imaging and Augmented Reality. MIAR 2010. Lecture Notes in Computer Science, vol 6326. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15699-1_51

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  • DOI: https://doi.org/10.1007/978-3-642-15699-1_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15698-4

  • Online ISBN: 978-3-642-15699-1

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