Spatial Deformation Model With The Use Of Wavelet Thresholding For Nonlinear Multimodal Registration

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Authors	SCHWARZ Daniel KAŠPÁREK Tomáš
Year of publication	2008
Type	Article in Proceedings
Conference	Analysis of Biomedical Signals and Images - Proceedings of 19th Biennal International Eurasip Conference BIOSIGNAL 2008
MU Faculty or unit	Faculty of Medicine
Citation
Field	Neurology, neurosurgery, neurosciences
Keywords	image analysis;image registration;wavelet transformation
Description	A transformation model is one of the essential blocks in almost any registration algorithm. Here, a spatial deformation model which combines smoothing by wavelet thresholding and Gaussian filtering is proposed for nonlinear registration. The algorithm is evaluated on 2-D multimodal image data - MRI images from standard Simulated Brain Database.
Related projects:	Nonlinear multimodal registration for automatic morphometry of MRI brain images based on anatomically constrained spatial deformations