Fast Linear Registration of 3D Objects Segmented from Medical Images

Tanacs, Attila; Kato, Zoltan

by Attila Tanacs, Zoltan Kato

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.

Reference:

Attila Tanacs, Zoltan Kato, Fast Linear Registration of 3D Objects Segmented from Medical Images, In Proceedings of International Conference on BioMedical Engineering and Informatics, Shanghai, China, pp. 299-303, 2011, IEEE.

Bibtex Entry:

@string{bmei="Proceedings of International Conference on BioMedical Engineering and Informatics"}
@INPROCEEDINGS{Tanacs-Kato2011,
  author = {Attila Tanacs and Zoltan Kato},
  title = {Fast Linear Registration of 3{D} Objects Segmented from Medical Images},
  booktitle = bmei,
  year = {2011},
  pages = {299--303},
  address = {Shanghai, China},
  month = oct,
  publisher = {IEEE},
  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.},
  pdf = {papers/bmei2011.pdf}
}