A Comparison of 2D-3D Intensity-Based Registration and Feature-Based Registration for Neurointerventions

Authors:
Robert A. McLaughlin;John Hipwell;David J. Hawkes;J. Alison Noble;James V. Byrne;Tim C. S. Cox
Affiliations:
-;-;-;-;-;-
Venue:
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
Year:
2002

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Abstract

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.