Fast linear registration of 3D objects segmented from medical images

Attila Tanács, Zoltan Kato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Pages294-298
Number of pages5
DOIs
Publication statusPublished - Dec 1 2011
Event2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 - Shanghai, China
Duration: Oct 15 2011Oct 17 2011

Publication series

NameProceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Volume1

Other

Other2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
CountryChina
CityShanghai
Period10/15/1110/17/11

    Fingerprint

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Tanács, A., & Kato, Z. (2011). Fast linear registration of 3D objects segmented from medical images. In Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 (pp. 294-298). [6098290] (Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011; Vol. 1). https://doi.org/10.1109/BMEI.2011.6098290