• DocumentCode
    56396
  • Title

    Automatic Localization of the da Vinci Surgical Instrument Tips in 3-D Transrectal Ultrasound

  • Author

    Mohareri, Omid ; Ramezani, Mahdi ; Adebar, Troy K. ; Abolmaesumi, P. ; Salcudean, Septimiu E.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
  • Volume
    60
  • Issue
    9
  • fYear
    2013
  • fDate
    Sept. 2013
  • Firstpage
    2663
  • Lastpage
    2672
  • Abstract
    Robot-assisted laparoscopic radical prostatectomy (RALRP) using the da Vinci surgical system is the current state-of-the-art treatment option for clinically confined prostate cancer. Given the limited field of view of the surgical site in RALRP, several groups have proposed the integration of transrectal ultrasound (TRUS) imaging in the surgical workflow to assist with accurate resection of the prostate and the sparing of the neurovascular bundles (NVBs). We previously introduced a robotic TRUS manipulator and a method for automatically tracking da Vinci surgical instruments with the TRUS imaging plane, in order to facilitate the integration of intraoperative TRUS in RALRP. Rapid and automatic registration of the kinematic frames of the da Vinci surgical system and the robotic TRUS probe manipulator is a critical component of the instrument tracking system. In this paper, we propose a fully automatic registration technique based on automatic 3-D TRUS localization of robot instrument tips pressed against the air-tissue boundary anterior to the prostate. The detection approach uses a multiscale filtering technique to identify and localize surgical instrument tips in the TRUS volume, and could also be used to detect other surface fiducials in 3-D ultrasound. Experiments have been performed using a tissue phantom and two ex vivo tissue samples to show the feasibility of the proposed methods. Also, an initial in vivo evaluation of the system has been carried out on a live anaesthetized dog with a da Vinci Si surgical system and a target registration error (defined as the root mean square distance of corresponding points after registration) of 2.68 mm has been achieved. Results show this method´s accuracy and consistency for automatic registration of TRUS images to the da Vinci surgical system.
  • Keywords
    biological tissues; biomedical equipment; biomedical ultrasonics; cancer; image registration; medical image processing; medical robotics; phantoms; surgery; 3-D transrectal ultrasound imaging; RALRP; TRUS image registration; air-tissue boundary; da Vinci surgical instrument; da Vinci surgical system; ex vivo tissue samples; intraoperative TRUS imaging; live anaesthetized dog; localize surgical instrument; multiscale filtering technique; neurovascular bundles; prostate cancer treatment; robot-assisted laparoscopic radical prostatectomy; robotic TRUS probe manipulator; tissue phantom; Detection algorithms; Imaging; Probes; Robots; Surgery; Ultrasonic imaging; Automatic registration; radical prostatectomy; robot-assisted surgery; transrectal ultrasound (TRUS); Animals; Cattle; Dogs; Humans; Imaging, Three-Dimensional; Male; Models, Biological; Phantoms, Imaging; Prostatectomy; Rectum; Robotics; Surgical Instruments; Ultrasound, High-Intensity Focused, Transrectal; User-Computer Interface;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2013.2262499
  • Filename
    6515179