Optimal discrete multi-resolution deformable image registration

M. van Stralen, J.P.W. Pluim

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

Deformable image registration is a challenging problem. Current solutions either have a high computational load or suffer from weak regularization. We propose a graph-based deformable registration technique that exploits dynamic programming to optimally solve a discrete multi-resolution formulation. It allows the use of regular similarity metrics known in literature and incorporation of local deformation models. We explain the theoretical framework behind the optimization and show results of registrations on synthetically deformed 2D brain CT images, with and without the multiresolution deformation model. The proposed method shows the effectiveness of the optimal multi-resolution optimization and the promises for future extension to 3D.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages947-950
Number of pages4
ISBN (Print)978-1-4244-3931-7
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event6th IEEE International Symposium on Biomedical Imaging (ISBI 2009) - Boston, United States
Duration: 28 Jun 20091 Jul 2009
Conference number: 6
http://www.biomedicalimaging.org/archive/2009/

Conference

Conference6th IEEE International Symposium on Biomedical Imaging (ISBI 2009)
Abbreviated titleISBI 2009
CountryUnited States
CityBoston
Period28/06/091/07/09
Other"From Nano to Macro"
Internet address

Keywords

  • Dynamic programming
  • Graph theory
  • Image registration
  • Optimization methods

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