Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

© Springer-Verlag Berlin Heidelberg 2002. Registration of 2D-3D data can improve visualisation during minimally-invasive neurointerventions. Using four clinical data sets, we quantitatively compared two approaches: an intensity-based algorithm and a feature-based algorithm. The intensity-based approach was found to be more accurate, with an average registration accuracy of 1.4mm, compared to the feature-based algorithm with an average accuracy of 2.3mm. The intensity-based algorithm was also found to be more reliable. Reliability of the feature-based algorithm was found to be more sensitive to the complexity of the vasculature structure.


Conference paper

Publication Date





517 - 524