• DocumentCode
    3713782
  • Title

    Image-guided robotic system for radiofrequency ablation of large liver tumor with single incision

  • Author

    Bin Duan;Rong Wen; Chin-Boon Chng; Weiming Wang; Ping Liu;Jing Qin;Jonnathan Libao Peneyra;Stephen Kin-Yong Chang; Pheng-Ann Heng;Chee-Kong Chui

  • Author_Institution
    Department of Mechanical Engineering, National University of Singapore, 117575, Singapore
  • fYear
    2015
  • Firstpage
    284
  • Lastpage
    289
  • Abstract
    Radiofrequency (RF) ablation surgery is effective in liver tumor treatment with non-collateral damage and reduced blood loss. However, the surgery is challenging for large tumor ablation in a minimally invasive procedure. In this paper, we developed a surgical robot system incorporating medical image information and surgeon´s planning knowledge to realize a minimally invasive procedure for large liver tumor treatment through a single incision. The system includes a surgical robot designed with spherical arc structures, medical image processing and planning, and trajectory generation modules. With planning strategies applied to medical images, multiple trajectories are automatically generated. ex-vivo and in-vivo tests were conducted and the experimental results demonstrated that the multiple RF needle insertion could accurately reach the target area and the required needle incision ports were significantly reduced.
  • Keywords
    "Needles","Tumors","Radio frequency","Liver","Surgery","Medical robotics"
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Robots and Ambient Intelligence (URAI), 2015 12th International Conference on
  • Type

    conf

  • DOI
    10.1109/URAI.2015.7358954
  • Filename
    7358954