Creaseness-based computer tomography and magnetic resonance registration: Comparison with the mutual information method

David Lloret; Antonio M. Lopez; Joan Serrat; Juan Jose Villanueva

doi:10.1117/1.482674

1 July 1999 Creaseness-based computer tomography and magnetic resonance registration: Comparison with the mutual information method

David Lloret, Antonio M. Lopez, Joan Serrat, Juan Jose Villanueva

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Journal of Electronic Imaging, Vol. 8, Issue 3, (July 1999). https://doi.org/10.1117/1.482674

This paper describes a method which uses the skull as a landmark for automatic registration of computer tomography to magnetic resonance (MR) images. First, the skull is extracted from both images using a new creaseness operator. Then, the resulting creaseness images are used to build a hierarchic structure which permits a robust and fast search. We have justified experimentally the performance of several choices of our algorithm, and we have thoroughly tested its accuracy and robustness against the wellknown mutual information method for five different pairs of images. We have found both comparable, and for certain MR images the proposed method achieves better performance.

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David Lloret, Antonio M. Lopez, Joan Serrat, and Juan Jose Villanueva "Creaseness-based computer tomography and magnetic resonance registration: Comparison with the mutual information method," Journal of Electronic Imaging 8(3), (1 July 1999). https://doi.org/10.1117/1.482674

Published: 1 July 1999

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