title: 3D Gabor wavelets for evaluating SPM normalization algorithm.
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).
authors.affiliation: Faculty of Information and Engineering, Shenzhen University, ShenZhen 518060, China. llshen@szu.edu.cn
authors.forename: Linlin
authors.initials: L
authors.lastname: Shen
authors.forename: Li
authors.initials: L
authors.lastname: Bai
authors.forename: Dorothee
authors.initials: D
authors.lastname: Auer
mesh_terms: D000465:Algorithms; D001921:Brain / Q000033:anatomy & histology*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D016011:Normal Distribution