TY - GEN
T1 - Elastic demons
T2 - 2nd International Workshop on Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2012, Held in Conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2012
AU - Pearlman, Paul C.
AU - Išgum, Ivana
AU - Kersbergen, Karina J.
AU - Benders, Manon J.N.L.
AU - Viergever, Max A.
AU - Pluim, Josien P.W.
PY - 2012/10/30
Y1 - 2012/10/30
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84867846306&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-33555-6_4
DO - 10.1007/978-3-642-33555-6_4
M3 - Conference contribution
AN - SCOPUS:84867846306
SN - 9783642335549
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 38
EP - 49
BT - Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data - Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Proceedings
Y2 - 1 October 2012 through 1 October 2012
ER -