Evaluating a method for automated rigid registration

Sune Darkner, Martin Vester-Christensen, Rasmus Larsen

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

    Abstract

    We evaluate a novel method for fully automated rigid registration of 2D manifolds in 3D space based on distance maps, the Gibbs sampler and Iterated Conditional Modes (ICM). The method is tested against the ICP considered as the gold standard for automated rigid registration. Furthermore, the influence of different norms and sampling point densities is evaluated. The performance of the two methods has been evaluated on data consisting of 178 scanned ear impressions taken from the right ear. To quantify the difference of the two methods we calculate the registration cost and the mean point to point distance. T-test for common mean are used to determine the performance of the two methods (supported by a Wilcoxon signed rank test). The performance influence of sampling density, sampling quantity, and norms is analyzed using a similar method.
    Original languageEnglish
    Title of host publicationProceedings of SPIE : Medical Imaging 2007: Image Processing
    EditorsJosien P. W. Pluim, Joseph M. Reinhardt
    VolumeVolume 6512
    PublisherThe International Society for Optical Engineering
    Publication date2007
    DOIs
    Publication statusPublished - 2007
    EventSPIE Medical Imaging 2007: Image Processing - San Diego, United States
    Duration: 17 Feb 200722 Feb 2007
    Conference number: 6512

    Conference

    ConferenceSPIE Medical Imaging 2007
    Number6512
    CountryUnited States
    CitySan Diego
    Period17/02/200722/02/2007

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