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3D Gabor wavelets for evaluating SPM normalization algorithm
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DOI：10.1016/j.media.2007.12.004.png)
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Abstract
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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.
Keywords:
Gabor wavelet
image normalization
image registration
Statistical Parametric Mapping
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