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Image registration with sliding motion constraints for 4D CT motion correction

Alexander Derksen, Stefan Heldmann, Benjamin Berkels, Thomas Polzin

Abstract

A common assumption in medical image registration is that the estimation of a globally continuous deformation field is plausible in reality. However, a sliding behavior of adjacent organ boundaries (e.g. lung and ribcage) cannot be described in a plausible way by a continuous deformation field. In this paper, we address this issue with a novel registration framework that explicitly models sliding of interfaces and can preserve discontinuities in the deformation field along predefined organ boundaries. Incorporated methods involve constrained nonlinear registration and a finite element discretization on unstructured tetrahedral meshes. Evaluation is based on the freely available DIR-Lab datasets.
Original languageEnglish
Title of host publicationBildverarbeitung für die Medizin 2015, Algorithmen – Systeme – Anwendungen, Proceedings des Workshops vom 15. bis 17. März 2015 in Lübeck
EditorsHeinz Handels, Thomas M. Deserno, Hans-Peter Meinzer, Thomas Tolxdorff
Number of pages6
Place of PublicationBerlin, Heidelberg
PublisherSpringer Verlag
Publication date25.02.2015
Pages335-340
ISBN (Print)978-3-662-46223-2
ISBN (Electronic)978-3-662-46224-9
DOIs
Publication statusPublished - 25.02.2015
EventWorkshop on Bildverarbeitung fur die Medizin 2015 - Universität zu Lübeck, Lübeck, Germany
Duration: 15.03.201517.03.2015

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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