Surface-to-surface registration using level sets

Mads Fogtmann Hansen, Søren G. Erbou, Martin Vester-Christensen, Rasmus Larsen, Bjarne Kjær Ersbøll, Lars Bager Christensen

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


    This paper presents a general approach for surface-to-surface registration (S2SR) with the Euclidean metric using signed distance maps. In addition, the method is symmetric such that the registration of a shape A to a shape B is identical to the registration of the shape B to the shape A. The S2SR problem can be approximated by the image registration (IR) problem of the signed distance maps (SDMs) of the surfaces confined to some narrow band. By shrinking the narrow bands around the zero level sets the solution to the IR problem converges towards the S2SR problem. It is our hypothesis that this approach is more robust and less prone to fall into local minima than ordinary surface-to-surface registration. The IR problem is solved using the inverse compositional algorithm. In this paper, a set of 40 pelvic bones of Duroc pigs are registered to each other w.r.t. the Euclidean transformation with both the S2SR approach and iterative closest point approach, and the results are compared.
    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science : Scandinavian Conference on Image Analysis
    EditorsBjarne Kjær Ersbøll, Kim Steenstrup Pedersen
    Place of PublicationBerlin / Heidelberg
    Publication date2007
    ISBN (Print)978-3-540-73039-2
    Publication statusPublished - 2007
    Event15th Scandinavian Conference on Image Analysis (SCIA) - Aalborg, Denmark
    Duration: 1 Jan 2007 → …


    Conference15th Scandinavian Conference on Image Analysis (SCIA)
    Period01/01/2007 → …


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