A new curvature-based image registration model and its fast algorithm

Chen, K ORCID: 0000-0002-6093-6623 and Zhang, J (2016) A new curvature-based image registration model and its fast algorithm. International Journal of Numerical Analysis and Modeling, 13 (6). pp. 969-985.

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Abstract

Recently, Chumchob-Chen-Brito (2011) proposed the so-called mean curvature model which appeared to deliver better registration results for both smooth and non-smooth deformation fields than a large class of competing methods. However, the two displacement variables in a deformation field are regularized separately in their model and so coupling between them is not present. Therefore their mean curvature model has a weakness and may not yield the best registration results in some situations such as in non-smooth registration problems with nonaxis-aligned discontinuities, as expected of a high order model. To design a new model based on interdependence between components of the deformation field, suitable for smooth and nonsmooth registration problems, we propose a new vectorial curvature regularizer in this paper and present an iterative method for numerical solution of the resulting variational model. Experiments using both synthetic and realistic images confirm that the proposed model is more robust than the Chumchob-Chen-Brito (2011) model in registration quality for a wide range of examples.

Item Type:	Article
Uncontrolled Keywords:	Deformable registration, regularization, multilevel, curvature
Depositing User:	Symplectic Admin
Date Deposited:	06 Oct 2016 13:47
Last Modified:	19 Jan 2023 07:29
Related URLs:	Author
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3003630