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Image Registration with Sliding Motion Constraints for 4D CT Motion Correction

  • Alexander DerksenEmail author
  • Stefan Heldmann
  • Thomas Polzin
  • Benjamin Berkels
Conference paper
Part of the Informatik aktuell book series (INFORMAT)

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.

Keywords

Image Registration Template Image Target Registration Error Deformable Image Registration Registration Approach 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Alexander Derksen
    • 1
    Email author
  • Stefan Heldmann
    • 1
  • Thomas Polzin
    • 2
  • Benjamin Berkels
    • 3
  1. 1.Fraunhofer MEVIS Project Group Image RegistrationLübeckDeutschland
  2. 2.Institute of Mathematics and Image ComputingUniversity of LübeckLübeckDeutschland
  3. 3.Aachen Institute for Advanced Study in Computational Engineering ScienceRWTH Aachen UniversityAachenDeutschland

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