| Literature DB >> 18262824 |
Linlin Shen1, Li Bai, Dorothee Auer.
Abstract
A Gabor wavelets based method is proposed in this paper for evaluating and tuning the parameters of image registration algorithms. We propose a 3D local anatomical structure descriptor, namely the Maximum Responded Gabor Wavelet (MRGW), for measuring registration quality based on anatomical variability of registered images. The effectiveness of the descriptor is demonstrated through a practical application, using the variance of MRGW response to tune parameters of a nonlinear spatial normalization algorithm, which is part of the popular software package for medical image processing - the Statistical Parametric Mapping (SPM).Mesh:
Year: 2008 PMID: 18262824 DOI: 10.1016/j.media.2007.12.004
Source DB: PubMed Journal: Med Image Anal ISSN: 1361-8415 Impact factor: 8.545