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
Link To Document :
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