Elastic demons: characterizing cortical development in neonates using an implicit surface registration

Authors:
Paul C. Pearlman;Ivana Išgum;Karina J. Kersbergen;Manon J. N. L. Benders;Max A. Viergever;Josien P. W. Pluim
Affiliations:
Image Sciences Institute, The Netherlands;Image Sciences Institute, The Netherlands;Department of Neonatalogy, University Medical Center Utrecht, Utrecht, The Netherlands;Department of Neonatalogy, University Medical Center Utrecht, Utrecht, The Netherlands;Image Sciences Institute, The Netherlands;Image Sciences Institute, The Netherlands
Venue:
STIA'12 Proceedings of the Second international conference on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data
Year:
2012

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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.