DocumentCode :
26513
Title :
Robotic System for MRI-Guided Stereotactic Neurosurgery
Author :
Gang Li ; Hao Su ; Cole, Gregory A. ; Weijian Shang ; Harrington, Kevin ; Camilo, Alex ; Pilitsis, Julie G. ; Fischer, Gregory S.
Author_Institution :
Autom. & Interventional Med. Lab., Worcester Polytech. Inst., Worcester, MA, USA
Volume :
62
Issue :
4
fYear :
2015
fDate :
Apr-15
Firstpage :
1077
Lastpage :
1088
Abstract :
Stereotaxy is a neurosurgical technique that can take several hours to reach a specific target, typically utilizing a mechanical frame and guided by preoperative imaging. An error in any one of the numerous steps or deviations of the target anatomy from the preoperative plan such as brain shift (up to 20 mm), may affect the targeting accuracy and thus the treatment effectiveness. Moreover, because the procedure is typically performed through a small burr hole opening in the skull that prevents tissue visualization, the intervention is basically “blind” for the operator with limited means of intraoperative confirmation that may result in reduced accuracy and safety. The presented system is intended to address the clinical needs for enhanced efficiency, accuracy, and safety of image-guided stereotactic neurosurgery for deep brain stimulation lead placement. The study describes a magnetic resonance imaging (MRI)-guided, robotically actuated stereotactic neural intervention system for deep brain stimulation procedure, which offers the potential of reducing procedure duration while improving targeting accuracy and enhancing safety. This is achieved through simultaneous robotic manipulation of the instrument and interactively updated in situ MRI guidance that enables visualization of the anatomy and interventional instrument. During simultaneous actuation and imaging, the system has demonstrated less than 15% signal-to-noise ratio variation and less than 0.20% geometric distortion artifact without affecting the imaging usability to visualize and guide the procedure. Optical tracking and MRI phantom experiments streamline the clinical workflow of the prototype system, corroborating targeting accuracy with three-axis root mean square error 1.38 ± 0.45 mm in tip position and 2.03 ± 0.58° in insertion angle.
Keywords :
biomedical MRI; brain; medical robotics; neurophysiology; phantoms; prototypes; surgery; MRI phantom; MRI-guided stereotactic neurosurgery accuracy; MRI-guided stereotactic neurosurgery robotic system; MRI-guided stereotactic neurosurgery safety; anatomy visualization; brain shift; deep brain stimulation; enhanced MRI-guided stereotactic neurosurgery efficiency; imaging usability; in situ MRI guidance; interventional instrument; magnetic resonance imaging; neurosurgical technique; optical tracking; preoperative imaging; reducing procedure duration; signal-to-noise ratio variation; simultaneous robotic manipulation; small burr hole opening; stereotactic neural intervention system; stereotaxy; targeting accuracy improvement; tissue visualization; treatment effectiveness; Accuracy; Magnetic resonance imaging; Manuals; Neurosurgery; Robots; Satellite broadcasting; Deep brain stimulation; MRI-compatible robotics; deep brain stimulation; image-guided therapy; magnetic resonance imaging (MRI)-compatible robotics; robot-assisted surgery; stereotactic neurosurgery;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2014.2367233
Filename :
6945849
Link To Document :
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