• DocumentCode
    2560950
  • Title

    A MRI-guided robot for neurosurgery: Optimization, registration and tracking

  • Author

    Zaidi, Hong ; Chao, Yun ; Lei, Zhao ; Yang, Wang

  • Author_Institution
    Robot. Inst., Beihang Univ., Beijing
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    2222
  • Lastpage
    2227
  • Abstract
    In this paper the design of a novel ultrasonic motor (USM) actuated robot system and a new infrastructure of automatically MRI-guided intervention for open MRI-guided neurosurgery are presented. The targeted clinical applications of the proposed robot are based on minimally invasive surgery procedures, such as biopsy and brachytherapy. Workspace optimization is conducted based on the operation workspace, design requirements and the constrained opening of the actual MRI scanner. To automatically undertake the alignment and orientation of the surgical needle throughout the neurosurgical procedures, a registration phantom was designed to determine the transformations between the MRI coordinate system and robot coordinate system. The tracking theory was then derived. The surgical procedure based on real-time MRI-guidance was reported.
  • Keywords
    biomedical MRI; medical robotics; optimisation; robot vision; MRI-guided robot; actuated robot system; biopsy; brachytherapy; minimally invasive surgery procedures; neurosurgery; ultrasonic motor; workspace optimization; Biopsy; Brachytherapy; Constraint optimization; Design optimization; Magnetic resonance imaging; Minimally invasive surgery; Neurosurgery; Robot kinematics; Robotics and automation; Target tracking; MRI-guided Surgery; Registration; Registration Model; Robot; Tracking; Workspace Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4597718
  • Filename
    4597718