@inproceedings{52956c3fe49648cc8546cfaed5ec462f,
title = "Template deformation by maximizing mutual information",
abstract = "A more efficient method for performing template matching deformation for image segmentation in the presence of arbitrary intensity mapping is presented. The method relies on mutual information as a matching criterion for the Miller fluid model. Tests show that the use of mutual information significantly improves the usefulness of the fluid model for local template transformations.",
author = "Skouson, {Mark B.} and Zhi-Pei Liang",
year = "1999",
language = "English (US)",
isbn = "0780356756",
series = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",
publisher = "IEEE",
pages = "1162",
booktitle = "Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings",
note = "Proceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) ; Conference date: 13-10-1999 Through 16-10-1999",
}