3D Gabor wavelets for evaluating SPM normalization algorithm

被引：41
作者：
Shen, Linlin [1 ]
Bai, Li [2 ]
机构：
[1] Shenzhen Univ, Fac Informat & Engn, Shenzhen 518060, Peoples R China
[2] Univ Nottingham, Sch Comp Sci, Nottingham NG8 1BB, England
来源：
MEDICAL IMAGE ANALYSIS | 2008年 / 12卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Gabor wavelet; image normalization; image registration; Statistical Parametric Mapping;
D O I：
10.1016/j.media.2007.12.004
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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). (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码：375 / 383
页数：9
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