An unsupervised Kalman filter-based linear mixing approach to MRI classification

IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS

Volumn 2, Issue , 2004, Pages 1105-1108

  Wang, Chuin Mu ^a   Lin, Geng Cheng ^a   Lin, Chi Yuan ^a   Chen, Ruey Maw ^a  

^a NATIONAL CHIN YI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; IMAGE PROCESSING; MAGNETIC RESONANCE IMAGING; MATRIX ALGEBRA; NEURAL NETWORKS; ROBUSTNESS (CONTROL SYSTEMS); TISSUE;

ABUNDANCE STATE EQUATION (ASE); HYBRID METHODS; TARGET CLASSIFICATION PROCESS (TCP); TARGET GENERATION PROCESS (TGP);

KALMAN FILTERING;

EID: 21644444336     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. G.A. Wright, Magnetic resonance imaging, IEEE Signal Process. Maga ine, pp. 56-66, January 1997.
2. G. Sebastiani and P. Barone, Mathematical rpinciples of basic magnetic resonance imaging in medicine, Signal Process., vol. 25, pp. 227-250, 1991.
3. B. Johnston, M. S. Atkins, B. Mackiewich, and M. Anderson, Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRI, IEEE Transactions on Medical Imaging, vol. 15, no. 2, pp. 154-169, April 1996.
4. Atam P. Dhawan, Aleksandar Zavaljevski, Alok Sarwal, Walliam S. Ball, A system for MR brain image segmentation, 1 th Annual International Conference of the IEEE Engineering in Medicine and Biolog Societ, Amsterdam, pp. 732-733, 1996.
5. Laurent Verard, Jalal Fadili, Su Ruan, and Daniel Bloyet, 3D MRI segmentation of brain structures, 1 th Annual International Conference of the IEEE Engineering in Medicine and Biolog Societ, Amsterdam, pp. 1081-1082, 1996.
6. H. Grahn, N.M. Szeverenyi, M.W. Roggenbuck, F. Delaglio and P. Geladi, Data analysis of multivariate magnetic resonance images I. a principal component analysis approach, Chemometrics and Intelligent La . S stems, vol. 5, pp. 11-322, 1989.
7. J.P. Windham, M.A. Abd-Allah, D.A. Reimann, J.W. Froehich and A.M. Haggar, Eigneimage filtering in MR imaging, J. Computer Assisted Tomograph, vol. 12, no. 1, pp. 1-9, Jan/Feb. 1988.
8. H. Soltanian-Zadeh and J.P. Windham, Novel and general approach to linear filter design for contrast-to-noise ratio enhancement of magnetic resonance images with multiple interfering features in the scene, J. Electronic Imaging, vol. 1, no. 2, pp. 171-182, April 1992
9. A.M. Haggar, J.P. Windham, D.A. Reimann, D.C. Hearshen and J.W. Froehich, Eigneimage filtering in MR imaging: an application in the abnormal chest wall, Magnetic Resonance in Medicine, vol. 11, pp. 85-97, 1989.
10. H. Soltanian-Zadeh, J.P. Windham, H. Soltanian-Zadeh, J.P. Windham and A.E. Yagle, A comparative analysis of several transformations for enhancement and segmentation of magnetic resonance image scene sequences, IEEE Trans. Medical Imaging, vol. 11, no. 3, pp. 302-316, 1992.
11. H. Soltanian-Zadeh, R. Saigal, A.M. Haggar, J.P. Windham, A.E. Yagle and D.C. Hearshen, Optimization of MRI protocola and pulse sequence parameters for eigneimage filtering, IEEE Trans. Medical Imaging, vol. 13, no. 1, pp. 161-175, March 1994.
12. H. Soltanian-Zadeh, J.P. Windham and D.J. Peck, Optimal linear transformation for MRI feature extraction, IEEE Transaction on Medical Imaging, vol. 15, no. 6, pp. 749-767, 1996).
13. Wilburn E.Reddick, John O. Glass, Edwin N. Cook, T. David Elkin, and Russell J. Deaton, Automated segmentation and classification of multispectral magnetic Rresonance images of brain using artificial neural networks, IEEE Transactions on Medical Imaging, vol. 16, no. 6, pp. 911-918, December 1997.
14. Javad Alirezaie, M. E. Jernigan and C. Nahmias Automatic segmentation of cerebral MR images using artificial neural networks, IEEE Transactions on Nuclear Science, vol. 45, no. 4, pp. 2174-2182, August 1998.
15. J.S. Lin, R.M. Chen, Y.M. Huang, Medical image segmentation using mean field annealing network, IEEE International Conference on Image Processing, vol. 2, pp. 855-858, October 1997.
16. J.S. Lin, K.S. Cheng, C.W. Mao, Multispectral magnetic resonance images segmentation using fuzzy Hopfield neural network, International Journal of Biomedical Computing, pp. 205-214, August 1996.
17. J.S. Lin, K.S. Cheng, C.W. Mao, Modified Hopfield neural network with fuzzy c-means technique for multispectral MR image segmentation, IEEE International Conference on Image Processing, vol. 1, pp. 327-330, September 1996.
18. M.C. Clark, L.O. Hall, D.B. Goldgof, L.P. Clarke, R.P. Velthuizen and M.S. Sibiger, MRI segmentation using Fuzzy clustering techniques, IEEE Engineering in Medicine and Biolog, 730-742, Nov./Dec. 1994.
19. M. Stella Atkins and Blair T. Mackiewich, Fully automatic segmentation of brain in MRI, IEEE Transactions on Medical Imaging, vol. 17, no. 1, pp. 98-107, February 1998.
20. Matthew C. Clark, Lawrence O. Hall, Dmitry B. Goldgof, Robert Velthuizen, F. Reed Murtagh, and S. Silbiger, Automatic tumor segmentation using knowledge-based techniques, IEEE Transactions on Medical Imaging, vol. 17, no. 2, pp. 187-201, April 1998.
21. S. Haykin, Adaptive Filtering Theory, 3rd ed. Engle ood Cliffs, NJ: Prentice-Hall, 1996.