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.
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CITATION STYLE
McLaughlin, R. A., Hipwell, J., Hawkes, D. J., Alison Noble, J., Byrne, J. V., & Cox, T. (2002). A comparison of 2D-3D intensity-based registration and feature-based registration for neurointerventions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2489, pp. 517–524). Springer Verlag. https://doi.org/10.1007/3-540-45787-9_65
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