3D Gabor wavelets for evaluating SPM normalization algorithm

Linlin Shen, Li Bai

Research output: Journal PublicationArticlepeer-review

47 Citations (Scopus)


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).

Original languageEnglish
Pages (from-to)375-383
Number of pages9
JournalMedical Image Analysis
Issue number3
Publication statusPublished - Jun 2008
Externally publishedYes


  • Gabor wavelet
  • Image normalization
  • Image registration
  • Statistical Parametric Mapping

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design


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