Constructing part-based models for groupwise registration

Steve A. Adeshina, Timothy F. Cootes

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

    Abstract

    We address the problem of building detailed models of the shape and appearance of complex structures, given only a training set of representative images and some minimal manual intervention. We focus on objects with repeating structures (such as bones in the hands), which can cause normal deformable registration techniques to fall into local minima and fail. Using a sparse annotation of a single image we can construct a parts+geometry model capable of locating a small set of features on every training image. Iterative refinement leads to a model which can locate structures accurately and reliably. The resulting sparse annotations are sufficient to initialise a dense groupwise registration algorithm, which gives a detailed correspondence between all images in the set. We demonstrate the method on a large set of radiographs of the hand, achieving sub-millimeter accuracy. ©2010 IEEE.
    Original languageEnglish
    Title of host publication2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings|IEEE Int. Symp. Biomed. Imaging: Nano Macro, ISBI - Proc.
    PublisherIEEE
    Pages1073-1076
    Number of pages3
    ISBN (Print)9781424441266
    DOIs
    Publication statusPublished - 2010
    Event7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Rotterdam
    Duration: 1 Jul 2010 → …

    Conference

    Conference7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010
    CityRotterdam
    Period1/07/10 → …

    Keywords

    • Groupwise-registration
    • Non-rigid registration
    • Statistical shape models

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