Model Experimental Study of Man-Machine Interactive Robot-Assisted Craniotomy.

Journal: The Journal of craniofacial surgery
PMID:

Abstract

To evaluate the feasibility, safety, and accuracy of the new man-machine interactive robotic system in model experiment. The implantation of the 8 to 10 bone screws over the skull model obtained from real patient's digital imaging and communications in medicine (DICOM), three-dimensional spiral computed tomography (CT) scans were taken. The end of the robotic arm was replaced with standard parts (including marker ball) for cone beam computed tomography (CBCT) scanning. The marker ball and marker pin were segmented and marked and exported via txt format. The position of the robotic end and model was obtained through the conversion of spacious position of standard parts and the executive end was replaced eventually. The water balloon was placed inside the skull model to imitate the dura mater and the destruction was documented for the system's safety. The system accuracy was evaluated by the error between the actual drilling position and the virtual plan and selection of 14 points of the skull window of milling pathway, monitored intraoperatively via Micron Tracker system and the overall skull window overlapped percentage via Mimics. Five model experiments were successfully performed with the average registration time of 3 minutes without destruction of balloon. The error of the outer table was 0.85 ± 0.45 mm, the inner table was 0.78 ± 0.49 mm, the line segment error of milling cutter was 0.93 ± 0.50 mm and the overall skull window overlapped percentage was 97.37% ± 0.78%. The system shows safety, accuracy, and reliability which can be an optional assistant method for craniotomy in the future.

Authors

  • Zin Mar Aung
    Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine.
  • Xiaojun Chen
    Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.
  • Cheng Xu
    School of Photovoltaic and Renewable Energy Engineering, University of New South Wales, 2052 Sydney, Australia.
  • Mengzhe Sun
    Department of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine.
  • Li Lin
    Department of Cardiology, Lishui Central Hospital and the Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China.
  • Le Xie
    Research Institute of Med-X, Shanghai Jiao Tong University, Shanghai, China.
  • Haisong Xu
    Department of Plastic and Reconstructive Surgery, Shanghai Tissue Engineering Key Laboratory, Shanghai Research Institute of Plastic and Reconstructive Surgery, Shanghai 9th People's Hospital, Rapid Prototyping Center of Shanghai University China.
  • Dong Han
    Department of Radiology, Affiliated Hospital of Chengde Medical College, Chengde Hebei, 067000, P.R.China.
  • Gang Chai
    Department of Plastic and Reconstructive Surgery, Shanghai Tissue Engineering Key Laboratory, Shanghai Research Institute of Plastic and Reconstructive Surgery, Shanghai 9th People's Hospital, Rapid Prototyping Center of Shanghai University China.