• DocumentCode
    1669048
  • Title

    Design and Optimization Analysis of Open-MRI Compatibile Robot for Neurosurgery

  • Author

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

  • Author_Institution
    Robot. Inst., Beihang Univ., Beijing
  • fYear
    2008
  • Firstpage
    1773
  • Lastpage
    1776
  • Abstract
    Numerous studies have demonstrated the efficacy of image-guided needle-based therapy and biopsy in the management of brain cancer. Magnetic Resonance Imaging (MRI) is an ideal modality for guiding and monitoring neurosurgery interventions, due to its excellent visualization of the brain tissues, including cancer tissues, its sub-structure and surrounding tissues. Despite these advantages, MRI scanners (open or closed) have not typically been used in neurosurgery interventions. The strong magnetic field prevents the use of conventional mechatroics and the confined physical space makes it extremely challenging to access the patient. MRI guided robot for neurosurgery have provided the solution of the above difficulities and more accuracy than surgery for neurosurgery. Presented here is the design of 5 degrees of freedom (DOF) open- MRI compatible robot for neurosurgery. The targeted clinical applications of the proposed robot are based on invasive surgery procedures, such as biopsy and brachytherapy. The paper explains the design process, MRI compatibility solution of robot and parameter optimization.
  • Keywords
    biomedical MRI; brain; cancer; medical robotics; neurophysiology; optimisation; surgery; tumours; biopsy; brachytherapy; brain cancer; brain tissues; magnetic resonance imaging; neurosurgery; open-MRI compatibile robot; optimization analysis; Biopsy; Cancer; Design optimization; Magnetic analysis; Magnetic resonance imaging; Medical treatment; Neurosurgery; Orbital robotics; Robots; Surgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering, 2008. ICBBE 2008. The 2nd International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1747-6
  • Electronic_ISBN
    978-1-4244-1748-3
  • Type

    conf

  • DOI
    10.1109/ICBBE.2008.772
  • Filename
    4535652