Comparison of phantom target localisation by frame-based stereotaxy and by the VISLAN system

Colchester, Alan C. F. and Zhao, Jason and Dorward, N. L. and Subsol, Gerard and Thomas, D.G.T. (1997) Comparison of phantom target localisation by frame-based stereotaxy and by the VISLAN system. In: 1st Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine / Medical Robotics and Computer-Assisted Surgery (CVRMed-MRCAS 97), March 19-22, 1997, Grenoble, France. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not available from this repository. (Contact us about this Publication)
Official URL


The VISLAN system is based on one of the newest developments in optical localiser tracking, where the localiser reflects light shone on it (passive illumination) rather than emitting light. In experiments with a CT-compatible skull phantom we evaluated the VISLAN system in comparison with a widely used stereotactic system, the Cosman-Roberts-Wells frame (Radionics Inc). The mean Euclidean difference in localising points initially defined in CT images was 2.5 mm across a wide range of target positions. We estimated the accuracy of the VISLAN system with the same phantom set up but independently of the stereotactic frame, and showed a mean Euclidean error of 1.0 mm. We concluded that the majority of the discrepancy between the two systems wits accounted for by the inaccuracy of the CRW frame. It would be inappropriate to regard the frame based systems as a satisfactory gold standard for estimating the accuracy of VISLAN. However, frame-based and frameless guidance may be needed in the same operation, and it is important for such systems to be compared.

Item Type: Conference or workshop item (Paper)
Depositing User: T. Nasir
Date Deposited: 25 Oct 2009 10:49
Last Modified: 14 May 2014 13:37
Resource URI: (The current URI for this page, for reference purposes)
  • Depositors only (login required):


Downloads per month over past year