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Deformation Estimation with Automatic Sliding Boundary Computation

  • Joseph Samuel PrestonEmail author
  • Sarang Joshi
  • Ross Whitaker
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9902)

Abstract

We present a novel method for image registration via a piecewise diffeomorphic deformation which accommodates sliding motion, such as that encountered at organ boundaries. Our method jointly computes the deformation as well as a coherent sliding boundary, represented by a segmentation of the domain into regions of smooth motion. Discontinuities are allowed only at the boundaries of these regions, while invertibility of the total deformation is enforced by disallowing separation or overlap between regions. Optimization alternates between discrete segmentation estimation and continuous deformation estimation. We demonstrate our method on chest 4DCT data showing sliding motion of the lungs against the thoracic cage during breathing.

Keywords

Image registration Sliding motion Motion segmentation 

Notes

Acknowledgements

This work was supported in part by NIH R01 CA169102-01A13 and a grant from GE Medical Systems.

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© Springer International Publishing AG 2016

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Authors and Affiliations

  • Joseph Samuel Preston
    • 3
    Email author
  • Sarang Joshi
    • 1
    • 3
  • Ross Whitaker
    • 2
    • 3
  1. 1.Deptartment of BioengineeringUniversity of UtahSalt Lake CityUSA
  2. 2.School of ComputingUniversity of UtahSalt Lake CityUSA
  3. 3.Scientific Computing and Imaging (SCI) InstituteUniversity of UtahSalt Lake CityUSA

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