@Misc{DavidLloret1999,
author="David Lloret
and Antonio Lopez
and Joan Serrat
and Juan J. Villanueva",
title="Creaseness-based computer tomography and magnetic resonance registration: Comparison with the mutual information method.",
year="1999",
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.",
optnote="ADAS",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=189), last updated on Wed, 26 Jun 2024 17:54:10 +0200",
file=":http://refbase.cvc.uab.es/files/LLS1999a.pdf:PDF"
}