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.
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Pearlman, P.C., Išgum, I., Kersbergen, K.J., Benders, M.J.N.L., Viergever, M.A., Pluim, J.P.W. (2012). Elastic Demons: Characterizing Cortical Development in Neonates Using an Implicit Surface Registration. In: Durrleman, S., Fletcher, T., Gerig, G., Niethammer, M. (eds) Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data. STIA 2012. Lecture Notes in Computer Science, vol 7570. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33555-6_4
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DOI: https://doi.org/10.1007/978-3-642-33555-6_4
Publisher Name: Springer, Berlin, Heidelberg
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