A novel weighted probabilistic neural network for MR image segmentation

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn 3, Issue , 2005, Pages 2501-2506

  Song, Tao ^a   Jamshidi, Mo ^b   Lee, Roland R ^a   Huang, Mingxiong ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b MSC01 1070   (United States)

Author keywords

MR image; Partial volume effect; SOM neural network; Tissue segmentation; WPNN

Indexed keywords

BRAIN; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; PROBABILISTIC LOGICS; SELF ORGANIZING MAPS; VECTOR QUANTIZATION;

MR IMAGE; PARTIAL VOLUME EFFECT; TISSUE SEGMENTATION; WPNN;

NEURAL NETWORKS;

EID: 27944474708     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (25)

1. J. C. Bezdek, and L. O. Hall, L. P. Clark, "Review of MR image segmentation techniques using pattern recognition", Med. Phys., Vol.20, No.4, 1993, pp. 1033-1048.
2. L. P. Clarke, and L. O. Hall, "MRI segmentation: Methods and applications", Magn. Reson. Imag., Vol.13, No.3, 1995, pp.343-368.
3. Pham D L, Xu C Y, Prince J L. "A survey of current methods in medical image segmentation", Annual Review of Biomedical Engineering, Annual Reviews, 2: 315-337, 2000.
4. P.K. Sahoo, S. Soltani, and A.K.C.Wong. A survey of thresholding techniques. Comput. Vis. Graph. Im. Proc., 41:233-260, 1988.
5. P. Gibbs, D.L. Buckley, and A. Horsman. Tumour volume detection from MR images by morphological segmentation. Phys. Med. Biol., 41:2437-2446, 1996.
6. T. McInerney and D. Terzopoulos. Deformable models in medical image analysis: a survey. Med. Im. Anal., 1:91-108, 1996.
7. L.O. Hall, and J.C. Bezdek, "A Comparison of Neural Network and Fuzzy Clustering Techniques in Segmenting Magnetic Resonance Images of the Brain", IEEE Trans. Neural Networks, Vol.3, No.5, September 1992, pp.672-681.
8. E. Gllenbe, and Y. Feng, "Neural Network methods for Volumetric magnetic resonance imaging of the human brain", Proc. IEEE, Vol.84, No. 10, October 1996, pp. 1488-1496.
9. V.A. Magnotta, and N.C. Andreasen, "Measurement of Brain Structures with Artificial Neural Networks: Two and Three Dimensional Applications", Radiology, Vol.211, No.3, June 1999, pp.781-790.
10. Choi, H. S., Haynor, D. R., and Kim, Y. M. (1991). Partial volume tissue classification of multichannel magnetic resonance images - a mixel model. IEEE Transactions on Medical Images, 10(3): 395-407.
11. D.H. Laidlaw, K.W. Fleischer, and A.H. Barr. "Bayesian mixture classification of MRI data for geometric modeling and visualization", poster for International Workshop on Mixtures, September 1995
12. C. M. Bishop, Neural Networks for Pattern Recognition, Clarendon Press, Oxford, England, 1995.
13. A.P. Zijdenobos, and B.M. Dawant, "Brain segmentation and white matter lesion detection in MR images", Critical Reviews in Biomedical Engineering, Vol.22, No.5-6, 1994, pp.401-465.
14. http://www.bic.mni.mcgill.ca/brainweb/
15. http://www.fmrib.ox.ac.uk/fsl/
16. T. Kohonen, Self-Organizing Maps, Springer, New York, 3rd edition, 2000.
17. K. Mehrotra, C.K. Mohan, S. Ranka, Element of Artificial Neural Networks, MIT Press, 1996.
18. C. M. Bishop, Neural Networks for Pattern Recognition, 1995, Clarendon Press, Oxford.
19. S. Harring, M.A. Viergever, "A Multiscale Approach to Image Segmentation Using Kohonen Networks", Tech. Report RUU-CS-93-06, 1993, Utrecht University.
20. Y. Zhang, M. Brady, "Segmentation of Brain MR Images through a Hidden Markov Random Field Model and the Expectation Maximization Algorithm." IEEE Trans. Medical Imaging, 20, 2001, pp.45-57.
21. D.F. Specht, "Probabilistic neural networks", Neural Networks, 3: 109-118, 1990.
22. T. Masters. Advanced Algorithms for Neural Networks: A C++ sourcebook, John Wiley & Sons Inc., New York, 1995.
23. T. Hoya, "On the capability of accommodating new classes within probabilistic neural networks", IEEE Trans. Neural Networks, 14(2): 450-453, 2003.
24. V. Magnotta, "Subcortical, cerebellar, and magnetic resonance based consistent brain image registration." Neuroimage, 19(2 Pt 1), June 2003, pp.233-245.
25. D. Shattuck, S. Sandor-Leahy, "Magnetic resonance image tissue classification using a partial volume model." NeuroImage, 13, 2001, pp.856-876.