Robot-assisted 3D-TRUS guided prostate brachytherapy: System integration and validation

• Published in: Medical physics (Lancaster) 2004-03, Vol.31 (3), p.539-548
• Main Authors: Wei, Zhouping, Wan, Gang, Gardi, Lori, Mills, Gregory, Downey, Donal, Fenster, Aaron
• Format: Article
• Language: English
• Subjects: 3D ultrasound‐guided surgery; Ancillary equipment; Automation; biomedical ultrasonics; brachytherapy; Brachytherapy - methods; Calibration; Digital image processing; Humans; Image Processing, Computer-Assisted; image reconstruction; Image registration; image‐guided surgery; Male; Medical image reconstruction; Medical imaging; medical robotics; Models, Statistical; phantoms; Phantoms, Imaging; Photoacoustic imaging; polymers; position control; prostate brachytherapy; prostate cancer; Prostatic Neoplasms - radiotherapy; prototypes; Reproducibility of Results; robot programming; Robotics; skin; Software; Therapeutic applications, including brachytherapy; ultrasonic transducers; Ultrasonics; Ultrasonography
• ISSN: 0094-2405; 2473-4209
• DOI: 10.1118/1.1645680

Current transperineal prostate brachytherapy uses transrectal ultrasound (TRUS) guidance and a template at a fixed position to guide needles along parallel trajectories. However, pubic arch interference (PAI) with the implant path obstructs part of the prostate from being targeted by the brachytherapy needles along parallel trajectories. To solve the PAI problem, some investigators have explored other insertion trajectories than parallel, i.e., oblique. However, parallel trajectory constraints in current brachytherapy procedure do not allow oblique insertion. In this paper, we describe a robot-assisted, three-dimensional (3D) TRUS guided approach to solve this problem. Our prototype consists of a commercial robot, and a 3D TRUS imaging system including an ultrasound machine, image acquisition apparatus and 3D TRUS image reconstruction, and display software. In our approach, we use the robot as a movable needle guide, i.e., the robot positions the needle before insertion, but the physician inserts the needle into the patient’s prostate. In a later phase of our work, we will include robot insertion. By unifying the robot, ultrasound transducer, and the 3D TRUS image coordinate systems, the position of the template hole can be accurately related to 3D TRUS image coordinate system, allowing accurate and consistent insertion of the needle via the template hole into the targeted position in the prostate. The unification of the various coordinate systems includes two steps, i.e., 3D image calibration and robot calibration. Our testing of the system showed that the needle placement accuracy of the robot system at the “patient’s” skin position was 0.15 mm±0.06 mm, and the mean needle angulation error was 0.07°. The fiducial localization error (FLE) in localizing the intersections of the nylon strings for image calibration was 0.13 mm, and the FLE in localizing the divots for robot calibration was 0.37 mm. The fiducial registration error for image calibration was 0.12 mm and 0.52 mm for robot calibration. The target registration error for image calibration was 0.23 mm, and 0.68 mm for robot calibration. Evaluation of the complete system showed that needles can be used to target positions in agar phantoms with a mean error of 0.79 mm±0.32 mm.