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Journal Article

Computional cost of nonrigid registration algorithms based on fluid dynamics

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Kruggel,  F.
Department Cognitive Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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mpi_607.pdf
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Citation

Wollny, G., & Kruggel, F. (2002). Computional cost of nonrigid registration algorithms based on fluid dynamics. IEEE Transactions on Medical Imaging, 21(8), 946-952. doi:10.1109/TMI.2002.803113.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0010-A554-B
Abstract
Though fluid dynamics offer a good approach to nonrigid registration and give accurate results, even with large-scale deformations, its application is still very time consuming. We introduce and discuss different approaches to solve the core problem of nonrigid registration, the partial differential equation of fluid dynamics. We focus on the solvers, their computional costs and the accuracy of registration. Numerical experiments show that relaxation is currently the best approach, especially when reducing the cost/iteration by focusing the updates on deformation spots