Abstract
In this paper we address the problem of multi-modal co-registration of medical 3D images. Several techniques for the rigid registration of multi-modal images have been developed; in one of those the Kullback-Leibler distance is used to align 2D-3D angiographic images [1]. In this paper we investigate the performance of this technique on the registration of pairs of 3D CT/US images. We study the effects of various image perturbations on the performance of the registration, and obtain promising results.
Original language | English |
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Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Editors | James C. Gee, J. B. Antoine Maintz, Michael W. Vannier |
Publisher | Springer Verlag |
Pages | 244-253 |
Number of pages | 10 |
ISBN (Print) | 3540203435, 9783540203438 |
DOIs | |
Publication status | Published - 2003 |
Externally published | Yes |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 2717 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
ASJC Scopus Subject Areas
- Theoretical Computer Science
- General Computer Science
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Stippel, G., Ellsmere, J., Warfield, S. K., Wells, W. M., & Philips, W. (2003). A new technique for multi-modal 3D image registration. In J. C. Gee, J. B. A. Maintz, & M. W. Vannier (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 244-253). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2717). Springer Verlag. https://doi.org/10.1007/978-3-540-39701-4_26