NONLINEAR AND MODEL-BASED IMAGE ANALYSIS

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

[+] Author Affiliations
David Lloret, Antonio M. Lo´pez, Joan Serrat, Juan J. Villanueva

Universitat Auto`noma de Barcelona, Computer Vision Center and Departament d’Informa`tica, Edifici O, 08193-Cerdanyola, Spain

J. Electron. Imaging. 8(3), 255-262 (Jul 01, 1999). doi:10.1117/1.482674
History: Received Nov. 2, 1998; Revised Apr. 12, 1999; Accepted May 25, 1999
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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 well-known 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. © 1999 SPIE and IS&T.

© 1999 SPIE and IS&T

Citation

David Lloret ; Antonio M. Lo´pez ; Joan Serrat and Juan J. Villanueva
"Creaseness-based computer tomography and magnetic resonance registration: Comparison with the mutual information method", J. Electron. Imaging. 8(3), 255-262 (Jul 01, 1999). ; http://dx.doi.org/10.1117/1.482674


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