@conference {1218,
	title = {Fast linear registration of 3D objects segmented from medical images},
	booktitle = {Biomedical Engineering and Informatics (BMEI)},
	year = {2011},
	note = {ScopusID: 84855764850doi: 10.1109/BMEI.2011.6098290},
	month = {Oct 2011},
	pages = {294 - 298},
	publisher = {IEEE},
	organization = {IEEE},
	type = {Conference paper},
	address = {Shanghai},
	abstract = {<p>In this paper a linear registration framework is used for medical image registration using segmented binary objects. The method is best suited for problems where the segmentation is available, but we also propose a general bone segmentation approach for CT images. We focus on the case when the objects to be registered differ considerably because of segmentation errors. We check the applicability of the method to bone segmentation of pelvic and thoracic CT images. Comparison is also made against a classical mutual information-based registration method. {\textcopyright} 2011 IEEE.</p>},
	isbn = {978-1-4244-9351-7 },
	doi = {10.1109/BMEI.2011.6098290},
	author = {Attila Tanacs and Zoltan Kato},
	editor = {Yongsheng Ding and Yonghong Peng and Riyi Shi and Kuangrong Hao and Lipo Wang}
}
