Publication details
Spatial Deformation Model With The Use Of Wavelet Thresholding For Nonlinear Multimodal Registration
| Authors | |
|---|---|
| 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 | |
| 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. |
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