3D Gabor wavelets for evaluating SPM normalization algorithm

被引：42

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

页码：375 / 383

页数：9

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