%0 Generic
%T Creaseness-based computer tomography and magnetic resonance registration: Comparison with the mutual information method.
%A David Lloret
%A Antonio Lopez
%A Joan Serrat
%A Juan J. Villanueva
%D 1999
%F David Lloret1999
%O ADAS
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=189), last updated on Wed, 26 Jun 2024 17:54:10 +0200
%X 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.
%9 miscellaneous
%U http://refbase.cvc.uab.es/files/LLS1999a.pdf