Multiple sclerosis lesion detection using constrained GMM and curve evolution

International Journal of Biomedical Imaging

Volumn 2009, Issue , 2009, Pages

  Freifeld, Oren ^a   Greenspan, Hayit ^a   Goldberger, Jacob ^b  

^a TEL AVIV UNIVERSITY   (Israel)

^b BAR ILAN UNIVERSITY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ARBITRARY NUMBER; BRAIN IMAGES; COMPLEX TISSUES; CURVE EVOLUTION; GAUSSIAN COMPONENTS; GAUSSIAN MIXTURE MODEL; GAUSSIANS; GLOBAL PARAMETERS; HEALTHY TISSUES; MULTIPLE SCLEROSIS LESIONS; NOISY DATA; PARAMETER LEARNING; PROBABILISTIC MODELS; SPATIAL LAYOUT; STANDARD BRAIN;

LEARNING ALGORITHMS; TISSUE;

THREE DIMENSIONAL;

EID: 70349205727     PISSN: 16874188     EISSN: 16874196     Source Type: Journal    
DOI: 10.1155/2009/715124     Document Type: Article

References (33)

1. Compston A., Coles A., Multiple sclerosis The Lancet 2002 359 9313 1221 1231
2. Miller D. H., Grossman R. I., Reingold S. C., McFarland H. F., The role of magnetic resonance techniques in understanding and managing multiple sclerosis Brain 1998 121 1 3 24
3. Miller D. H., Filippi M., Fazekas F., Role of magnetic resonance imaging within diagnostic criteria for multiple sclerosis Annals of Neurology 2004 56 273 278 (Pubitemid 39037922)
4. Huber S. J., Paulson G. W., Shuttleworth E. C., Magnetic resonance imaging correlates of dementia in multiple sclerosis Archives of Neurology 1987 44 7 732 736
5. Medaer R., Nelissen E., Appel B., Swerts M., Geutjens J., Callaert H., Magnetic resonance imaging and cognitive functioning in multiple sclerosis Journal of Neurology 1987 235 2 86 89
6. Paty D. W., Li D. K., Interferon beta-1b is effective in relapsing-remitting multiple sclerosis Neurology 1993 43 4 662
7. Rovaris M., Filippi M., Falautano M., Relation between MR abnormalities and patterns of cognitive impairment in multiple sclerosis Neurology 1998 50 6 1601 1608 (Pubitemid 28283224)
8. Sperling R. A., Guttmann C. R. G., Hohol M. J., Regional magnetic resonance imaging lesion burden and cognitive function in multiple sclerosis: a longitudinal study Archives of Neurology 2001 58 1 115 121
9. Goldberg-Zimring D., Azhari H., Miron S., Achiron A., 3-D surface reconstruction of multiple sclerosis lesions using spherical harmonics Magnetic Resonance in Medicine 2001 46 4 756 766
10. Goldberg-Zimring D., Shalmon B., Zou K. H., Azhari H., Nass D., Achiron A., Assessment of multiple sclerosis lesions with spherical harmonics: comparison of MR imaging and pathologic findings Radiology 2005 235 1036 1044
11. Kirshner H. S., Tsai S. I., Runge V. M., Price A. C., Magnetic resonance imaging and other techniques in the diagnosis of multiple sclerosis Archives of Neurology 1985 42 9 859 863
12. Shahar A., Greenspan H., Probabilistic spatial-temporal segmentation of multiple sclerosis lesions Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis 2004 269 280 Lecture Notes in Computer Science
13. Sajja B. R., Datta S., He R., Unified approach for multiple sclerosis lesion segmentation on brain MRI Annals of Biomedical Engineering 2006 34 1 142 151
14. Pham D. L., Xu C., Prince J. L., A survey of current methods in medical image segmentation Annual Review of Biomedical Engineering 2000 2 315 337
15. Akselrod-Ballin A., Galun M., Gomori M. J., An integrated segmentation and classification approach applied to multiple sclerosis analysis 1 Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR 06) 2006 1122 1129
16. Zijdenbos A. P., Forghani R., Evans A. C., Automatic pipeline analysis of 3-D MRI data for clinical trials: application to multiple sclerosis IEEE Transactions on Medical Imaging 2002 21 10 1280 1291
17. Dugas-Phocion G., Gonzalez M. A., Lebrun C., Hierarchical segmentation of multiple sclerosis lesions in multi-sequence MRI Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 04) 2004 157 160
18. Harmouche R., Collins L., Arnold D., Francis S., Arbel T., Bayesian MS lesion classification modeling regional and local spatial information 3 Proceedings of the International Conference on Pattern Recognition (ICPR 06) 2006 984 987
19. Van Leemput K., Maes F., Vandermeulen D., Colchester A., Suetens P., Automated segmentation of multiple sclerosis lesions by model outlier detection IEEE Transactions on Medical Imaging 2001 20 8 677 688
20. Wei X., Warfield S. K., Zou K. H., Quantitative analysis of MRI signal abnormalities of brain white matter with high reproducibility and accuracy Journal of Magnetic Resonance Imaging 2002 15 2 203 209
21. Wells W. M. III, Grimson W., Kikinis R., Jolesz F. A., Adaptive segmentation of MRI data IEEE Transactions on Medical Imaging 1996 15 4 429 442
22. Wolff Y., Miron S., Achiron A., Greenspan H., Improved CSF classification and lesion detection in MR brain images with multiple sclerosis 6512 Medical Imaging 2007: Image Processing 2007 Proceedings of SPIE. 65122P
23. Warfield S. K., Kaus M., Jolesz F. A., Kikinis R., Adaptive, template moderated, spatially varying statistical classification Medical Image Analysis 2000 4 1 43 55
24. Wu Y., Warfield S. S., Tan I. L., Automated segmentation of multiple sclerosis lesion subtypes with multichannel MRI NeuroImage 2006 32 3 1205 1215
25. Kamber M., Collins D. L., Shinghal R., Francis G. S., Evans A.C., Model-based 3D segmentation of multiple sclerosis lesions in dual-echo MRI data Visualization in Biomedical Computing 1992 590 600 Proceedings of SPIE
26. Greenspan H., Ruf A., Goldberger J., Constrained Gaussian mixture model framework for automatic segmentation of MR brain images IEEE Transactions on Medical Imaging 2006 25 9 1233 1245
27. Freifeld O., Greenspan H., Goldberger J., Lesion detection in noisy MR brain images using constrained GMM and active contours Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI 07) 2007 596 599
28. Dempster A. P., Laird N. M., Rubin D. B., Maximum likelihood from incomplete data via the EM algorithm Journal of the Royal Statistical Society, Series B 1977 39 1 1 38
29. Warfield S. K., Fast k-NN classification for multichannel image data Pattern Recognition Letters 1996 17 7 713 721
30. Cuisenaire O., Distance transformations: fast algorithms and applications to medical image processing, Ph.D. thesis 1999 Belgium Laboratoire de Telecommunications at Teledetection, Universite Catolique de Louvain
31. Rousson M., Deriche R., A variational framework for active and adaptative segmentation of vector valued images Proceedings of the Workshop on Motion and Video Computing 2002 56 61
32. Chan T., Vese L., An active contour model without edges Theories in Computer Vision 1999 141 151 Lecture Notes in Computer Science
33. Cocosco C. A., Kollokian V., Kwan R. K. S., BrainWeb: online interface to a 3D MRI simulated brain database NeuroImage 1997 5 425