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Journal of Electronic Imaging

Creaseness-based computer tomography and magnetic resonance registration: Comparison with the mutual information method
Author(s): David Lloret; Antonio M. Lopez; Joan Serrat; Juan Jose Villanueva
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Paper Abstract

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.

Paper Details

Date Published: 1 July 1999
PDF: 8 pages
J. Electron. Imag. 8(3) doi: 10.1117/1.482674
Published in: Journal of Electronic Imaging Volume 8, Issue 3
Show Author Affiliations
David Lloret, Universitat Autonoma de Barcelona (Spain)
Antonio M. Lopez, Univ Autonoma de Barcelona (Spain)
Joan Serrat, Univ. Autonoma de Barcelona (Spain)
Juan Jose Villanueva, Univ. Autonoma de Barcelona (Spain)

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