Title
Elastic demons: characterizing cortical development in neonates using an implicit surface registration
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.
Year
DOI
Venue
2012
10.1007/978-3-642-33555-6_4
STIA
Keywords
Field
DocType
consecutive neonatal cortical surface,mr image,fine deformation,deformation field,elastic demon,cortical development,gaussian smoothing term,elasticity constraint,demons algorithm,implicit surface registration,new cortical fold,realistic deformation,estimated deformation field
Brain development,Computer vision,Gaussian blur,Artificial intelligence,Deformation (mechanics),Elasticity (economics),Mathematics
Conference
Citations 
PageRank 
References 
0
0.34
12
Authors
6
Name
Order
Citations
PageRank
Paul C. Pearlman172.23
Ivana Isgum276650.08
Karina J. Kersbergen3523.61
Manon J. N. L. Benders418011.51
Max A Viergever57946833.77
Josien P. W. Pluim62439178.67