3D Gabor wavelets for evaluating SPM normalization algorithm

Linlin Shen; Li Bai

doi:10.1016/j.media.2007.12.004

3D Gabor wavelets for evaluating SPM normalization algorithm

Linlin Shen
, Li Bai

Research output: Journal Publication › Article › peer-review

51 Citations (Scopus)

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).

Original language	English
Pages (from-to)	375-383
Number of pages	9
Journal	Medical Image Analysis
Volume	12
Issue number	3
DOIs	https://doi.org/10.1016/j.media.2007.12.004
Publication status	Published - Jun 2008
Externally published	Yes

Free Keywords

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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10.1016/j.media.2007.12.004

Cite this

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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).",

keywords = "Gabor wavelet, Image normalization, Image registration, Statistical Parametric Mapping",

author = "Linlin Shen and Li Bai",

note = "Funding Information: We thank Prof. Dorothee Auer of Division of Academic Radiology, University of Nottingham, UK, for providing the images for the experiments. The work was partially supported by the National Natural Science Foundation of China under grant no. 60572100 and 60673122, Royal Society (UK) International Joint Projects 2006/R3 – Cost Share with NSFC under grant no. 60711130233. ",

year = "2008",

month = jun,

doi = "10.1016/j.media.2007.12.004",

language = "English",

volume = "12",

pages = "375--383",

journal = "Medical Image Analysis",

issn = "1361-8415",

publisher = "Elsevier B.V.",

number = "3",

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TY - JOUR

T1 - 3D Gabor wavelets for evaluating SPM normalization algorithm

AU - Shen, Linlin

AU - Bai, Li

N1 - Funding Information: We thank Prof. Dorothee Auer of Division of Academic Radiology, University of Nottingham, UK, for providing the images for the experiments. The work was partially supported by the National Natural Science Foundation of China under grant no. 60572100 and 60673122, Royal Society (UK) International Joint Projects 2006/R3 – Cost Share with NSFC under grant no. 60711130233.

PY - 2008/6

Y1 - 2008/6

N2 - 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).

AB - 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).

KW - Gabor wavelet

KW - Image normalization

KW - Image registration

KW - Statistical Parametric Mapping

UR - https://www.scopus.com/pages/publications/43549110057

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DO - 10.1016/j.media.2007.12.004

M3 - Article

C2 - 18262824

AN - SCOPUS:43549110057

SN - 1361-8415

VL - 12

SP - 375

EP - 383

JO - Medical Image Analysis

JF - Medical Image Analysis

IS - 3

ER -

3D Gabor wavelets for evaluating SPM normalization algorithm

Abstract

Free Keywords

ASJC Scopus subject areas

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