Segmentation of magnetic resonance brain images through discriminant analysis

Journal of Neuroscience Methods

Volumn 131, Issue 1-2, 2003, Pages 65-74

  Amato, Umberto ^a   Larobina, Michele ^b   Antoniadis, Anestis ^c   Alfano, Bruno ^b  

^a CNR   (Italy)

^b CNR   (Italy)

^c UNIV GRENOBLE ALPES   (France)

Author keywords

Brain; Discriminant analysis; Independent component analysis; Kernel density estimation; Magnetic resonance imaging; Principal component analysis; Segmentation

Indexed keywords

PROTON;

ARTICLE; BRAIN; CONTROLLED STUDY; DENSITY; HUMAN; IMAGE ANALYSIS; IMAGING SYSTEM; MAGNETIC SEPARATION; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PHANTOM; PRIORITY JOURNAL; RELAXATION TIME; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE;

EID: 0344945416     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-0270(03)00237-1     Document Type: Article

References (39)

1. Alfano B., Brunetti A., Covelli E.M., Quarantelli M., Panico M.R., Ciarmiello A., et al. Unsupervised, automated segmentation of the normal brain using a multispectral relaxometric magnetic resonance approach. Magn Reson Med. 37:1997;84-93.
2. Alirezaire J., Jernigan M.E., Nahmias C. Automatic segmentation of cerebral MR images using artificial neural networks. IEEE Trans Nucl Sci. 45:1998;2174-2182.
3. Amato U., Antoniadis A., Grégoire G. Independent component discriminant analysis. Int J Math. 3:2003;735-753.
4. Anderson TW. An introduction to multivariate statistical analysis. 2nd ed. New York: Wiley, 1984.
5. Andersen A.H., Zhang Z., Avison M.J., Gash D.M. Automated segmentation of multispectral brain MR images. J. Neurosci Methods. 122:2002;13-23.
6. Antalek B., Hornak J.P., Windig W. Multivariate image analysis of magnetic resonance images with the direct exponential curve resolution algorithm (DECRA). Part 2. Application to human brain images. J. Magn. Reson. 132:1998;307-315.
7. Beardah CC. The Kernel Density Estimation toolbox for Matlab, 1995. Available at http://euler.ntu.ac.uk/maths.html .
8. Bezdek J.C., Hall L.O., Clarke L.P. Review of MR image segmentation techniques using pattern recognition. Med Phys. 20:1993;1033-1048.
9. Breiman L. Bagging predictors. J. Mach Learn. 24:1996;123-140.
10. Chen Y., Dougherty E.R., Totterman S.M., Hornak J.P. Classification of trabecular structure in magnetic resonance images based on morphological granulometries. Magn. Reson. Med. 29:1993;358-370.
11. Clark M.C., Hall L.C., Goldgof D.B., Velthuizen R., Murtagh F.R., Silbiger S. Automatic tumor segmentation using knowledge-based techniques. IEEE Trans. Med. Imag. 17:1998;187-201.
12. Clarke L.P., Velthuizen R.P., Camacho M.A., Heine J.J., Vaidyanathan M., Hall L.O., et al. MRI segmentation: methods and applications. Magn. Reson. Imag. 13:1995;343-368.
13. Cocosco C., Kollokian V., Kwan R.-S., Evans A. Brainweb: Online interface to a 3-D MRI simulated brain database. Neuroimage. 5:1997;S425.
14. Collins D.L., Zijdenbos A.P., Kollokian V., Sled J.G., Kabani N.J., Holmes C.J., et al. Design and construction of a realistic digital brain phantom. IEEE Trans. Med. Imag. 17:1998;463-468.
15. Comon P. Independent component analysis, a new concept? Signal Process. 36:1994;287-314.
16. DeCarli C., Murphy D.G.M., McIntosh A.R., Teichberg D., Shapiro M.B., Horwitz B. Discriminant analysis of MRI measures as a method to determine the presence of dementia of the Alzheimer type. Psychiatry Res. 57:1995;119-130.
17. Duta N., Sonka M. Segmentation and interpretation of MR brain images: an improved active shape model. IEEE Trans. Med. Imag. 16:1998;1049-1062.
18. Fletcher L.M., Barsotti J.B., Hornak J.P. A multispectral analysis of brain images. Magn Reson Med. 29:1993;623-630.
19. Freund Y., Schapire R.E. A decision-theoretic generalization of online learning and an application to boosting. J Comp Syst Sci. 55:1997;119-139.
20. Gudbjartsson H., Patz S. The Rician distribution of noisy MRI data. Magn Reson Med. 34:1995;910-914.
21. Holden M., Steen E., Lundervold A. Segmentation and visualization of brain lesions in multispectral magnetic resonance images. Comput Med Imag Graphics. 19:1995;171-183.
22. Hyvärinen A. Independent component analysis by minimization of mutual information. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'97); 1997. p. 3917-20.
23. Hyvärinen A. Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans Neural Networks. 10:1999;626-634.
24. Jackson E.F., Narayana P.A., Falconer J.C. Reproducibility of nonparametric feature map for determination of normal human intracranial volumes with MR imaging data. J. Magn. Reson. Imag. 4:1994;692-700.
25. Kwan RK-S, Evans AC, Pike GB. An extensible MRI simulator for post-processing evaluation. In: Proceedings of the Fourth International Conference on Visualization in Biomedical Computing, VBC'96, Hamburg; 1996. p. 135-40.
26. Kwan R.K.-S., Evans A.C., Pike G.B. MRI simulation-based evaluation of image-processing and classification methods. IEEE Trans. Med. Imag. 18:1999;1085-1097.
27. Lin J.S., Cheng K.S., Mao C.W. Multispectral magnetic resonance images segmentation using fuzzy Hopfield neural network. Int. J. Biomed. Comput. 46:1996;205-214.
28. Nakazawa Y, Saito T. Region extraction with standard brain atlas for analysis of MRI brain images. Image Process 1994;1:387-91. Proceedings of the IEEE International Conference on ICIP-94.
29. Niessen W.J., Vincken K.L., Weickert J., ter Haar Romeny B.M., Viergever M.A. Multiscale segmentation of three-dimensional MR brain images. Int J Comput Vision. 31:1999;185-202.
30. Pien HH, Gauch JM. Variational segmentation of multi-channel MRI images. In: Proceedings of the IEEE International Conference on Image Processing, Austin, Texas, November; 1994.
31. Reddick W.E., Glass J.O., Cook E.N., Elkin T.D., Deaton R.J. Automated segmentation and classification of multispectral magnetic resonance images of brain using artificial neural networks. IEEE Trans. Med. Imag. 16:1997;911-918.
32. Soltanian-Zadeh H., Windham J.P., Peck D.J., Yagle A.E. A comparative analysis of several transformations for enhancement and segmentation of Magnetic Resonance scene sequences. IEEE Trans. Med. Imag. 11:1992;302-318.
33. Suckling J., Sdsson T., Greenwood K., Bullmore E.T. A modified fuzzy clustering: algorithm for operator independent brain tissue classification of dual echo MR images. Magn. Reson. Imag. 17:1999;1065-1076.
34. Suri J. Two-dimensional fast Magnetic Resonance brain segmentation. IEEE Eng Med Biol 2001;July/August:84-95.
35. Tang H., Wu E.X., Ma Q.Y., Gallagher D., Perera G.M., Zhuang T. MRI brain image segmentation by multi-resolution edge detection and region selection. Comput Med Imag Graphics. 24:2000;349-357.
36. Vannier M.W., Butterfield R.L., Jordan D., Murphy W.A., Levitt R.G., Gado M. Multispectral analysis of magnetic resonance images. Radiology. 154:1985;221-224.
37. Wang C.M., Yang S.C., Chung P.C., Chang C.I., Lo C.S., Chen C.C., et al. Orthogonal subspace projection-based approaches to classification of MR image sequences. Comput Med Imag Graphics. 25:2001;475-476.
38. Zavaljevski A., Dhawan A.P., Gaskil M., Ball W., Johnson J.D. Multi-level adaptive segmentation of multi-parameter MR brain images. Comput Med Imag Graphics. 24:2000;87-98.
39. Zijdenbos A.P., Dawant B.M., Margolin R.A., Palmer A.C. Morphometric analysis of white matter lesions in MR images: methods and validation. IEEE Trans Med Imag. 13:1994;716-724.