Deformable registration of CT pelvis images using Mjolnir

Lotta M. Ellingsen, Jerry L. Prince

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

3 Scopus citations

Abstract

Our recently published 3D-3D deformable image registration algorithm, Mjolnir (Ellingsen et al., 2006) was developed for inter-subject registration of MR brain images, Mjolnir is a hybrid registration method, where both anatomical features and image intensities are used to hierarchically align the images. In addition to the hierarchical scheme, the algorithm was implemented in a multi-resolution framework, which both reduces local minima and speeds up the registration process. In this paper an extension to this work is proposed, where Mjolnir has been adapted to register CT images of the pelvis. The main concepts of Mjolnir will be briefly described and the changes made to previous work explained. The algorithm was tested on CT images of the pelvis of 13 different subjects. Results indicate good registration accuracy however, further validation is needed.

Original languageEnglish (US)
Title of host publicationProceedings of the 7th Nordic Signal Processing Symposium, NORSIG 2006
PublisherIEEE Computer Society
Pages46-49
Number of pages4
ISBN (Print)1424404126, 9781424404124
DOIs
StatePublished - Jan 1 2006
Event7th Nordic Signal Processing Symposium, NORSIG 2006 - Reykjavik, Iceland
Duration: Jun 7 2006Jun 9 2006

Publication series

NameProceedings of the 7th Nordic Signal Processing Symposium, NORSIG 2006

Other

Other7th Nordic Signal Processing Symposium, NORSIG 2006
Country/TerritoryIceland
CityReykjavik
Period6/7/066/9/06

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing
  • General Mathematics

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