Robust parameter estimation of intensity distributions for brain magnetic resonance images

IEEE Transactions on Medical Imaging

Volumn 17, Issue 2, 1998, Pages 172-186

  Schroeter, Philippe ^a   Vesin, Jean Marc ^a   Langenberger, Thierry ^a   Meuli, Reto ^b  

^a EPFL   (Switzerland)

^b LAUSANNE UNIVERSITY HOSPITAL   (Switzerland)

Author keywords

Brain MRI; Gaussian mixtures; Parameter estimation; Robust statistics

Indexed keywords

ADOLESCENT; ADULT; AGED; ALGORITHM; ARTICLE; ARTIFACT; BRAIN; COMPUTER SIMULATION; EPIDEMIOLOGY; FEMALE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE PROCESSING; MALE; METHODOLOGY; MIDDLE AGED; MONTE CARLO METHOD; NORMAL DISTRIBUTION; NUCLEAR MAGNETIC RESONANCE IMAGING; STATISTICAL MODEL; STATISTICS;

ADOLESCENT; ADULT; AGED; ALGORITHMS; ARTIFACTS; BIAS (EPIDEMIOLOGY); BRAIN; COMPUTER SIMULATION; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; LIKELIHOOD FUNCTIONS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MODELS, STATISTICAL; MONTE CARLO METHOD; NORMAL DISTRIBUTION; STOCHASTIC PROCESSES;

BRAIN; GENETIC ALGORITHMS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; PARAMETER ESTIMATION; STATISTICAL METHODS;

GAUSSIAN MIXTURES;

MEDICAL IMAGING;

EID: 0032034222     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/42.700730     Document Type: Article

References (45)

1. B. P. Drayer, Radial., vol. 166, pp. 797-806, 1988.
2. G. Gerig, O. Kubier, R. Kikinis, and F. A. Jolesz, "Nonlinear anisotropic filtering of MRI data," IEEE Trans. Med. Mag., vol. 11, pp. 221-232, June 1992.
3. A. Lundervold and G. Storvik, "Segmentation of brain parenchyma and cerebrospinal fluid in multispectral magnetic resonance images," IEEE Trans. Med. Imag., vol. 14, pp. 339-341, Apr. 1995.
4. Z. Liang, J. R. MacFall, and D. P. Harrington, "Parameter estimation and tissue segmentation from multispectral MR images," IEEE Trans. Med. Imag., vol. 13, pp. 441-149, Sept. 1994.
5. H. W. Choi, D. R. Haynor, and Y. Kirn, "Partial volume tissue classification of multichannel magnetic resonance images-A mixel model," IEEE Trans. Med. Imag., vol. 10, pp. 395-107, Sept. 1991.
6. T. Taxt and A. Lundervold, "Multispectral analysis of the brain using magnetic resonance imaging," IEEE Trans. Med. Imag., vol. 13, pp. 470-181, Sept. 1994.
7. D. A. Ortendahl and J. W. Carlson, "Segmentation of magnetic resonance images using fuzzy clustering," in Proc. 10th Int. Conf. Information Processing in Medical Imaging, 19, pp. 91-106.
8. O. L. Hall, A. M. Bensaid, L. P. Clarke, R. P. Velthuizen, M. S. Silbiger, and J. C. Bezdek, "A comparison of neural network and fuzzy clustering techniques in segmenting magnitic resonance images of the brain," IEEE Trans. Neural Networks, vol. 3, pp. 672-682, Sept. 1992.
9. J. H. Holland, Adaptation in Natural and Artificial Systems. Ann Arbor, MI: Univ. Michigan Press, 1975.
10. G. J. McLachlan and K. E. Basford, Mixture Models: Inference and Applications to Clustering. New York: Marcel Dekker, Inc., 1988.
11. P. Santago and H. G. Gage, "Quantification of MR brain images by mixture density and partial volume modeling," IEEE Trans. Med. Imag., vol. 12, pp. 566-574, Sept. 1993.
12. K. O. Lim and A. Pfefferbaum, "Segmentation of MR brain images into cerebrospinal fluid spaces, white and gray matter," J. Comput. Assist. Tomogr., vol. 13, pp. 588-593, July/Aug. 1989.
13. G. Gerig, J. Martin, R. Kikinis, O. Kubler, M. Shenton, and F. A. Jolesz, "Unsupervised tissue type segmentation of 3d dual-echo MR head data," Images, Vision Computing, vol. 10, pp. 349-360, July/Aug. 1992.
14. M. I. Kohn et al, "Analysis of brain and cerebrospinal fluid volumes with MR imaging-Part I: Methods, reliability, and validation," Radial., vol. 178, pp. 115-122, 1991.
15. M. W. Vannier, R. L. Butterfield, and D. Jordan et ai, "Multispectral analysis of MR images," Radial., vol. 154, pp. 221-224, 1985.
16. R. P. Velthuizen, L. P. Clarke, L. O. Hall, and A. M. Bensaid, "Multispectral 3-D MRI segmentation using knowledge based systems," Med. Phys., vol. 18, p. 623, 1991.
17. Hasselblad, "Estimation of parameters for a mixture of normal distributions," Technometrics, vol. 8, no. 3, pp. 431-144, 1966.
18. A. P. Dempster, N. M. Laird, and D. b. Rubin, "Maximum-likelihood from incomplete data via the EM algorithm," J. Roy. Statist. Soc., vol. B39, pp. 1-38, 1977.
19. N. A. Campbell, "Mixture model sand atypical values," Math. Geol., vol. 16, pp. 465-177, 1984.
20. P. J. Huber, "Robust estimation of a location parameter," Ann. Math. Statist., vol. 35, pp. 73-101, 1964.
21. P. J. Rousseeuw and A. M. Leroy, Robust Regression and Outlier Detection. New York: Wiley, 1987.
22. J. C. Bezdek, pattern Recognition with Fuzzy Objective Function Algorithm. New York: Plenum, 1981.
23. J. H. Holland, "Outline for a theory of adaptive systems," J. ACM, vol. 3, pp. 297-314, July 1962.
24. D. E Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. Reading, MA: Addison-Wesley, 1989.
25. J. J. Grefenstette, R. Goparl, B. rosmaita, and D. van Gucht, "Genetic algorithms for the traveling salesman problem," in Proc. Int. Conf. Genetic Algorithms and their Appl., 19, pp. 160-165.
26. K. Kristinsson and G. A. Dumont, "System identification adn control using genetic algorithms," IEEE Trans. Syst., Man, Cybern., vol. 22, pp. 1033-1045, 1992.
27. S. K. Pal, D. Bhandari, and M. K. Kundu, "Genetic algorithms for optimal image enhancement," Pattern Recogn. Lett., vol. 15, pp. 261-271, 1994.
28. W. Siedlecki and J. Slantsky, "A note on genetic algorithms for largescale feature selection," Pattern Recogn. Lett., vol. 10, pp. 335-347, 1989.
29. D. Park, A. Kandel, and G. Langholz, "Genetic-based new fuzzy reasoning models with application to fuzzy control," IEEE Trans. Syst., Man, Cybern., vol. 24, pp. 39-47, 1994.
30. P. J. M. Larrhoven and E. H. L. Aarts, Simulated Annealing. The Netherlands: Reidel, 1987.
31. J. C. Potts T. C. Giddens, and S. B. Yadav, "The development and evaluation of an improved genetic algorithm based on migration and aritficial selection," IEEE Trans. Syst., Man, Cybern, vol. 24, pp. 73-86, 1994.
32. X. Qi and F. Palmieri, "Analysis of the genetic algorithms in the continuous space," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing IASSP-92, San Franscisco, CA, vol. 3, pp. 424-433.
33. J. M. Vesin, "Genetic algorithms in the continuous space for recursive adaptive filter design," in Proc. 7th European Signal Processing Conf. EUSIPCO-94, Eidenburgh, U.K., Sept. 1994, pp. 732-735.
34. Z. Michalewicz and C. Z. Janikow, "Handling constraints in genetic algorithms," in Proc. 4th Int. Conf. on Genetic Algorithms, San Diego, CA, 1991, pp. 151-157.
35. D. E. Goldberg, "Sizing populations for serial and parallel genetic algorithms," in Proc. 3rd Int. Conf. Genetic Algorithms and Their Appl., 19, pp. 70-79.
36. L. Davis, Ed., Handbook of Genetic Algorithms. New York: Van Nostrand Reinhold, 1991.
37. M. Goldberg and S. Shlien, "A clustering scheme for multispectral images," IEEE Trans. Syst., Man, Cybern., vol. 8, pp. 86-92, 1978.
38. R. Yager and D. Filev, "Generation of fuzzy rules by mountain clustering," J. Intelligent, Fuzzy Syst., vol. 2, no. 3, pp. 209-219, 1994.
39. J. Kittler, "A locally sensitive method for cluster analysis," Pattern Recogn., vol. 8, pp. 23-33, 1976.
40. S. Chiu, "Fuzzy model identification based on cluster estimation," J. Intelligent, Fuzzy Syst., vol. 2, no. 3, 1994.
41. M. Tincher, C. R. Meyer, R. Gupta, and D. M. Williams, "Polynomial modeling and reduction of rf body coil spatial inhomogeneity in MRI," IEEE Trans. Med. Imag., vol. 12, pp. 361-365, June 1993.
42. B. M. Dawant, A. P. Zijdenbos, and R. A. Margolin, "Correction of intensity variations in MR images for computer-aided tissue classification," IEEE Trans. Med. Imag., vol. 12, pp. 770-781, Dec. 1993.
43. M. E. Brummer, R. M. Mersereau, R. L. Eisner, and R. R. J. Lewine, "Automatic detection of brain contours in MRI data sets," IEEE Trans. Med. Imag., vol. 12, pp. 153-166, June 1993.
44. J. Sera, Image Analysis ad Mathematical Morphology, London, U.K.: Academic, 1982.
45. T. Langenberger, R. A. Meuli, P. Schroeter, J. M. Vesin, and P. Schnyder, "Automatic segmentation and volume measurements of brain with MRI," in Proc. CAR '96 Computer Assisted Radiology, pp. 219-224.