Handcrafted fuzzy rules for tissue classification

Magnetic Resonance Imaging

Volumn 26, Issue 6, 2008, Pages 815-823

  Mehta, Shashi Bhushan ^a,b   Chaudhury, Santanu ^c   Bhattacharyya, Asok ^b   Jena, Amarnath ^d  

^a PHILIPS RESEARCH LABORATORIES   (Netherlands)

^b DELHI TECHNOLOGICAL UNIVERSITY   (India)

^c INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

^d RAJIV GANDHI CANCER INSTITUTE AND RESEARCH CENTRE   (India)

Author keywords

Fuzzy rules; Gray level; Handcrafted rule; Magnetic resonance imaging; MRI; Pattern analysis; Rule based system; Segmentation

Indexed keywords

ARTICLE; BRAIN TISSUE; DIFFUSION WEIGHTED IMAGING; FUZZY SYSTEM; HISTOGRAM; HUMAN; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; TISSUE MICROARRAY;

BRAIN; FUZZY LOGIC; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED;

EID: 45949109668     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mri.2008.01.021     Document Type: Article

References (26)

1. Gonzalez R.C., and Wintz P. Digital image processing (1977), Addison-Wesley, Massachusetts
2. Bezdek J.C., and Hall L.O. Review of MR image segmentation techniques using pattern recognition. Med Phys 20 4 (1993) 1033-1048
3. Zavaljevski A., Dhawan A.P., Gaskil M., and Johnson J.D. Multiple-level adaptative segmentation of multi-parameters MR brain images. Comput Med Imaging Graph 24 2 (2000) 87-98
4. Barra V., and Boire J.Y. Tissue segmentation on MR images of the brain by possibilistic clustering on 3-D wavelet representation. Magn Reson Imaging 11 3 (2000) 267-278
5. Zeng X., Staib L.H., Schultz R.T., and Duncan J.S. Segmentation and measurement of cortex from 3-D MR images using coupled-surfaces propagation. IEEE Trans Med Imaging 18 10 (1999) 92-97
6. Pal S.K., and Dutta M.D. Fuzzy mathematical approach to pattern recognition (1986), Halsted Press, New York
7. Pal N.R., and Pal S.K. A review on image segmentation techniques. Pattern Recogn 26 3 (1993) 1277-1294
8. Clarke L.P., Velthuizen R.P., Camacho M.A., Heine J.J., Vaidyanathan M., Hall L.O., et al. MRI segmentation: methods applications. Magn Reson Imaging 13 3 (1995) 343-368
9. Pal S.K., and Mitra S. Neuro-fuzzy pattern recognition: methods in soft computing (1999), John Wiley & Sons, New York
10. Suri J.S. Two dimensional fast MR brain segmentation using a region based set approach. Int J Eng Med Biol 20 4 (2001) 84-95
11. Wesks J.S. A survey of threshold selection techniques. Comp Graph Image Process 7 (1978) 259-265
12. Sahoo P.K., Soltani S., and Wong A.K.C. A survey of thresholding techniques. Comp Vis Graph Image Process 41 (1980) 233-260
13. Lee S.U., Chung S.Y., and Park R.H. A comparative performance study of several thresholding techniques for segmentation. Comp Vis Graph Image Process 52 (1990) 171-190
14. Glasbey C.A. An analysis of histogram based thresholding algorithms. CVGIP Graph Models Image Process 55 (1993) 532-537
15. Mehta S.B., Narayanan R.V., Tripathi R.P., Bhattacharyya A., Chaudhury S., and Mathew T.L. Threshold selection on 2D MR images using k mean and fuzzy partition algorithm. Proceedings of the National Symposium on Magnetic Resonance and Biomolecular Structure, Tata Institute of Fundamental Research, Mumbai, India, January 17-20 (2000)
16. Wong CC, Chun M, Lin NS. Extraction of fuzzy control rules using genetic algorithm. Proceedings of CFSA/IFIS/SOFT '95' Fuzzy Theory and Applications, 1995.
17. Chang CW, Hillman GR, et al. Automatic labeling of human brain structures in 3D MRI using Fuzzy logic. Proceedings of CFSA/IFIS/SOFT '95' Fuzzy Theory and Applications, 1995.
18. Bezdek J.C., and Cstelaz P.F. Prototype classification and feature selection with fuzzy sets. IEEE Trans Syst Man Cybern 7 (1977) 87-92
19. Pal S.K., and Chakraborty B. Fuzzy set theoretic measure for automatic feature evaluation. IEEE Trans Syst Man Cybern 16 (1986) 754-760
20. Clark M.C., Hall L.O., Goldgof D., Clarke L.P., Velthuizen R.P., and Silbiger M.S. MRI segmentation using clustering techniques. IEEE Eng Med Biol Mag 13 5 (1994) 730-742
21. Reddick W.E., Glass J.O., Cook E.N., Elkin T.D., and Deaton R.J. Automated segmentation and classification of multispectral magnetic resonance. images of brain using artificial neural network. IEEE Trans Med Imag 16 (1997) 911-918
22. Vaidyanathan M., Clarke L.P., Heidtman C., Velthuizen R.P., and Hall L.O. Normal brain volume measurement using multispectral MRI segmentation. Magn Reson Imaging 15 1 (1997) 87-97
23. Sucking J., Sigmundsson T., Greenwood K., and Bullmore E.T. A modified fuzzy clustering algorithm for operator independent brain tissue classification of dual echo MR images. Magn Reson Imaging 17 7 (1999) 1065-1076
24. Hata Y., Kobashi S., Hirano S., Kitagaki H., and Mori E. Automated segmentation of human brain MR images aided by fuzzy information granulation and fuzzy inference. IEEE Trans Syst Man Cybern Part C 30 3 (2000)
25. 1 parametric images using fuzzy classifiers. J Magn Reson Imaging 6 (1996) 425-435
26. Mehta S.B., Chadhury S., Bhattacharyya A., and Jena A. A soft-segmentation visualization scheme for magnetic resonance images. Magn Reson Imaging 23 (2005) 817-828