3D gabor wavelets for evaluating medical image registration algorithms
Authors: 
Linlin Shen, Dorothee Auer, Li BaiAuthors Info & Claims
Pages 261 - 268
Abstract
A Gabor wavelets based method is proposed in this paper for evaluating and tuning the parameters of image registration algorithms. The registration quality is measured by the anatomical variability of the registered images. We propose in this paper a local anatomical structure descriptor, namely the Maximum Responded Gabor Wavelet (MRGW) for such a purpose. The effectiveness of the descriptor is demonstrated through a practical spatial normalization example – the variance of MRGW is successfully applied to tune the parameters of a nonlinear spatial normalization algorithm, which is integrated in one of the most popular software packages for medical image processing – the Statistical Parametric Mapping (SPM).
References
[1]
P. Thompson and A. W. Toga, "A surface-based technique for warping three-dimensional images of the brain," IEEE Transactions On Medical Imaging, vol. 15, pp. 402-417, 1996.
[2]
J. V. Hajnal, N. Saeed, E. J. Soar, A. Oatridge, I. R. Young, and G. M. Bydder, "A Registration And Interpolation Procedure For Subvoxel Matching Of Serially Acquired Mr-Images," Journal Of Computer Assisted Tomography, vol. 19, pp. 289-296, 1995.
[3]
B. Zitova and J. Flusser, "Image registration methods: a survey," Image And Vision Computing, vol. 21, pp. 977-1000, 2003.
[4]
T. Gaens, F. Maes, D. Vandermeulen, and P. Suetens, "Non-rigid multimodal image registration using mutual information," in Medical Image Computing And Computer-Assisted Intervention - Miccai'98, vol. 1496, Lecture Notes In Computer Science, 1998, pp. 1099- 1106.
[5]
J. Ashburner and K. J. Friston, "Nonlinear spatial normalization using basis functions," Human Brain Mapping, vol. 7, pp. 254-266, 1999.
[6]
S. Robbins, A. C. Evans, D. L. Collins, and S. Whitesides, "Tuning and comparing spatial normalization methods," Medical Image Analysis, vol. 8, pp. 311-323, 2004.
[7]
J. West, J. M. Fitzpatrick, M. Y. Wang, B. M. Dawant, C. R. Maurer, R. M. Kessler, R. J. Maciunas, C. Barillot, D. Lemoine, A. Collignon, F. Maes, P. Suetens, D. Vandermeulen, P. A. vandenElsen, S. Napel, T. S. Sumanaweera, B. Harkness, P. F. Hemler, D. L. G. Hill, D. J. Hawkes, C. Studholme, J. B. A. Maintz, M. A. Viergever, G. Malandain, X. Pennec, M. E. Noz, G. Q. Maguire, M. Pollack, C. A. Pelizzari, R. A. Robb, D. Hanson, and R. P. Woods, "Comparison and evaluation of retrospective intermodality brain image registration techniques," Journal Of Computer Assisted Tomography, vol. 21, pp. 554-566, 1997.
[8]
M. Holden, D. L. G. Hill, E. R. E. Denton, J. M. Jarosz, T. C. S. Cox, T. Rohlfing, J. Goodey, and D. J. Hawkes, "Voxel similarity measures for 3-D serial MR brain image registration," IEEE Transactions On Medical Imaging, vol. 19, pp. 94-102, 2000.
[9]
I. D. Dinov, M. S. Mega, P. M. Thompson, R. P. Woods, D. L. Sumners, E. L. Sowell, and A. W. Toga, "Quantitative comparison and analysis of brain image registration using frequency-adaptive wavelet shrinkage," IEEE Transactions On Information Technology In Biomedicine, vol. 6, pp. 73-85, 2002.
[10]
D. Gabor, "Theory of communications," Journal of Institution of Electrical Engineers, vol. 93, pp. 429-457, 1946.
[11]
G. H. Granlund, "Search of a general picture processing operator," Computer Graphics and Image Processing, vol. 8, pp. 155-173, 1978.
[12]
J. G. Daugman, "Uncertainty relation for resolution in space, spatial- frequency, and orientation opptimized by two-dimensional visual cortical filters," Journal of the Optical Society of America A-Optics Image Science and Vision, vol. 2, pp. 1160-1169, 1985.
[13]
A. K. Jain and F. Farrokhnia, "Unsupervised texture segmentation using Gabor filters," Pattern Recognition, vol. 24, pp. 1167-1186, 1991.
[14]
T. P. Weldon, W. E. Higgins, and D. F. Dunn, "Efficient Gabor filter design for texture segmentation," Pattern Recognition, vol. 29, pp. 2005-2015, 1996.
[15]
L. Wiskott, J. M. Fellous, N. Kruger, and C. von der Malsburg, "Face recognition by elastic bunch graph matching," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, pp. 775-779, 1997.
[16]
L. Shen and L. Bai, "A review on Gabor wavelets for face recognition," Pattern Analysis and Applications, in press, 2006.
[17]
L. Shen, L. Bai, and M. Fairhurst, "Gabor wavelets and Generalized Discriminant Analysis for face identification and verification," Image and Vision Computing, in press, 2006.
[18]
Y. J. Wang and C. S. Chua, "Face recognition from 2D and 3D images using 3D Gabor filters," Image And Vision Computing, vol. 23, pp. 1018-1028, 2005.
Recommendations
Multimodal Medical Image Registration Using Optimized Phase Consistency Within Joint Frequency-Space Domain
Pattern Recognition and Computer VisionAbstractCancer is a severe disease with high incidence and mortality rates. Currently, 70% of patients undergo image-guided radiotherapy (IGRT). In IGRT, CT scans, which pose significant risks to patients, delineate cancerous regions, while CBCT scans, ...
Unsupervised Deformable Image Registration Using Cycle-Consistent CNN
Medical Image Computing and Computer Assisted Intervention – MICCAI 2019AbstractMedical image registration is one of the key processing steps for biomedical image analysis such as cancer diagnosis. Recently, deep learning based supervised and unsupervised image registration methods have been extensively studied due to its ...
SAT-Morph: Unsupervised Deformable Medical Image Registration Using Vision Foundation Models with Anatomically Aware Text Prompt
Foundation Models for General Medical AIAbstractCurrent unsupervised deformable medical image registration methods rely on image similarity measures. However, these methods are inherently limited by the difficulty of integrating important anatomy knowledge into registration. The development of ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
August 2006
396 pages
ISBN:3540372202
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 17 August 2006
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 05 Jan 2025