A new technique for multi-modal 3D image registration

Gjenna Stippel, Jim Ellsmere, Simon K. Warfield, William M. Wells, Wilfried Philips

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)

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 languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsJames C. Gee, J. B. Antoine Maintz, Michael W. Vannier
PublisherSpringer Verlag
Pages244-253
Number of pages10
ISBN (Print)3540203435, 9783540203438
DOIs
Publication statusPublished - 2003
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2717
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'A new technique for multi-modal 3D image registration'. Together they form a unique fingerprint.

Cite this

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