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Elastic Demons: Characterizing Cortical Development in Neonates Using an Implicit Surface Registration

  • Paul C. Pearlman
  • Ivana Išgum
  • Karina J. Kersbergen
  • Manon J. N. L. Benders
  • Max A. Viergever
  • Josien P. W. Pluim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7570)

Abstract

We present an approach for nonrigid registration of consecutive neonatal cortical surfaces from MR images acquired at 30 and 40 week corrected gestational ages. Surfaces are registered implicitly using a method based on the Demons algorithm. Our key innovation is removing the Gaussian smoothing term in Demons in favor of an elasticity constraint that simultaneously promotes more realistic deformations and smooths the deformation field. This is advantageous because the constraint smooths the deformation field along the surface rather than across it. Therefore, fine deformations, such as those necessary to characterize small, new cortical folds, are preserved. The estimated deformation fields are then used to characterize brain development.

Keywords

Cortical Development Nonrigid Registration Gaussian Smoothing Deformable Image Registration Realistic Deformation 
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 2012

Authors and Affiliations

  • Paul C. Pearlman
    • 1
  • Ivana Išgum
    • 1
  • Karina J. Kersbergen
    • 2
  • Manon J. N. L. Benders
    • 2
  • Max A. Viergever
    • 1
  • Josien P. W. Pluim
    • 1
  1. 1.Image Sciences InstituteThe Netherlands
  2. 2.Department of NeonatalogyUniversity Medical Center UtrechtUtrechtThe Netherlands

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