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Jan Metzen, Tim Kröger, Andrea Schenk, Stephan Zidowitz, Heinz-Otto Peitgen, and Xiaoyi Jiang. Matching of Tree Structures for Registration of Medical Images. In Graph-Based Representations in Pattern Recognition, pp. 13–24, Springer Verlag, Alicante, Spain, 2007.
Many medical applications require a registration of different images of the same organ. In many cases, such a registration is accomplished by manually placing landmarks in the images. In this paper we propose a method which is able to find reasonable landmarks automatically. To achieve this, nodes of the vessel systems, which have been extracted from the images by a segmentation algorithm, will be assigned by the so-called association graph method and the coordinates of these matched nodes can be used as landmarks for a non-rigid registration algorithm.
@inproceedings{Metzen:GBR:2007,
address = {Alicante, Spain},
title = {Matching of Tree Structures for Registration of Medical Images},
url = {http://dx.doi.org/10.1007/978-3-540-72903-7_2},
booktitle = {{Graph-Based} Representations in Pattern Recognition},
publisher = {Springer Verlag},
author = {Jan Metzen and Tim Kr\"{o}ger and Andrea Schenk and Stephan Zidowitz and {Heinz-Otto} Peitgen and Xiaoyi Jiang},
year = {2007},
pages = {13--24},
abstract = {Many medical applications require a registration of different images of the same organ. In many cases, such a registration is accomplished by manually placing landmarks in the images. In this paper we propose a method which is able to find reasonable landmarks automatically. To achieve this, nodes of the vessel systems, which have been extracted from the images by a segmentation algorithm, will be assigned by the so-called association graph method and the coordinates of these matched nodes can be used as landmarks for a non-rigid registration algorithm.},
bib2html_pubtype = {Refereed Conference},
bib2html_rescat = {Graph Matching}
}
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