Improving image registration by correspondence interpolation

Hildur Ólafsdóttir, Henrik Pedersen, Michael Sass Hansen, Henrik Larsson, Rasmus Larsen

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


    This paper presents how using a correspondence-based interpolation scheme for 3D image registration improves the registration accuracy. The interpolator takes into account correspondences across slices, which is an advantage, particularly when the volume has thick slices, and where anatomies lie non-parallel to the slice direction. We use our previously presented approach for correspondence-based interpolation and demonstrate results on two different datasets, brain and cardiac MRI. The results are evaluated (i) qualitatively by examination of gradient images and cardiac pig atlases and (ii) quantitatively by registering downsampled brain data using two different interpolators and subsequently applying the deformation fields to the original data. The results show that the interpolator provides better gradient images and a more sharp cardiac atlas. Moreover, it provides better deformation fields on downsampled data, increasing the registration accuracy of original data to 5.8% on average with respect to a standard interpolator.
    Original languageEnglish
    Title of host publication2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro : Proceedings
    Publication date2011
    ISBN (Print)978-1-4244-4128-0
    Publication statusPublished - 2011
    Event8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Chicago, United States
    Duration: 30 Mar 20112 Apr 2011
    Conference number: 8


    Conference8th IEEE International Symposium on Biomedical Imaging
    Country/TerritoryUnited States
    Internet address


    • Image interpolation
    • Magnetic resonance imaging
    • Image gradient
    • Image registration
    • Atlas


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