Supervised classification of brain tissues through local multi-scale texture analysis by coupling DIR and FLAIR MR sequences

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 8314, Issue , 2012, Pages

  Poletti, Enea ^a   Veronese, Elisa ^a   Calabrese, Massimiliano ^b   Bertoldo, Alessandra ^a   Grisan, Enrico ^a  

^a UNIVERSITY OF PADOVA   (Italy)

^b Multiple Sclerosis Center   (Italy)

Author keywords

Brain tissues; DIR sequence; Features extraction; FLAIR sequence; Gray level cooccurrence matrix; Magnetic resonance imaging; Supervised classification; Textures

Indexed keywords

BRAIN TISSUE; DIR SEQUENCE; FEATURES EXTRACTION; FLAIR SEQUENCE; GRAY LEVEL CO-OCCURRENCE MATRIX; SUPERVISED CLASSIFICATION;

BRAIN; HIGHER ORDER STATISTICS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES; TEXTURES; TISSUE;

PIXELS;

EID: 84860778164     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.911302     Document Type: Conference Paper

References (15)

1. A. Venneri, "Imaging treatment effects in Alzheimer's disease." Magnetic resonance imaging, vol. 25, no. 6, pp. 953-68, Jul. 2007. (Pubitemid 47081351)
2. M. Bozzali, M. Cercignani, and C. Caltagirone, "Brain volumetrics to investigate aging and the principal forms of degenerative cognitive decline: a brief review." Magnetic resonance imaging, vol. 26, no. 7, pp. 1065-70, Sep. 2008.
3. S. Huber et al., "Magnetic resonance imaging and clinical correlations in multiple sclerosis," Journal of the Neurological Sciences, vol. 86, no. 1, pp. 1-12, 1988.
4. J. Ashburner and K. J. Friston, "Unified segmentation." NeuroImage, vol. 26, no. 3, pp. 839-51, Jul. 2005. (Pubitemid 40825026)
5. S. M. Smith et al., "Advances in functional and structural MR image analysis and implementation as FSL." NeuroImage, vol. 23 Suppl 1, pp. S208-19, Jan. 2004. (Pubitemid 39421720)
6. K. Nakamura and E. Fisher, "Segmentation of brain magnetic resonance images for measurement of gray matter atrophy in multiple sclerosis patients." NeuroImage, vol. 44, no. 3, pp. 769-76, Feb. 2009.
7. R. Gelineau-Kattner et al., "The effect of white matter lesions on segmentation of deep grey matter structures," in Proceedings of the 16th annual meeting of the Organization for the Human Brain Mapping HBM2010, 2010, p. 153.
8. R. Gelineau-Morel et al., "The effect of hypointense white matter lesions on automated gray matter segmentation in multiple sclerosis". Hum Brain Mapp. 2011.
9. Andrej Vovk, Robert W. Cox, Janez Stare, Dusan Suput, and Ziad S. Saad. "Segmentation priors from local image properties: Without using bias field correction, location-based templates, or registration". NeuroImage, December 2010.
10. M Tuceryan & A K Jain, Ch.2.1 "Basic Methods in Computer Vision: Texture Analysis" in The Handbook of Pattern Recognition and Computer Vision (2nd Edition), by C. H. Chen, L. F. Pau, P. S. P. Wang (eds.), pp. 207-248, World Scientific Publishing Co., 1998.
11. Sklansky, J., "Image Segmentation and Feature Extraction," IEEE Transactions on Systems, Man, and Cybernetics, SMC-8, pp. 237-247, 1978.
12. Haralick, R.M., "Statistical and Structural Approaches to Texture," Proceedings of the IEEE, 67, pp. 786-804, 1979.
13. C. C. Chang and C. J. Lin. "LIBSVM: a library for support vector machines". ACM Transactions on Intelligent Systems and Technology, 2:27:1-27:27, 2011.
14. E. Veronese et al. "Unsupervised Segmentation of Brain Tissues Using Multiphase Level Sets on Multiple MRI Sequences", 2nd IASTED International Conference on Computational Bioscience. July 11-13, 2011, Cambridge, UK.
15. E. Veronese et al., "Automatic segmentation of gray matter multiple sclerosis lesions on dir images," in Proceedings of the 16th annual meeting of the Organization for the Human Brain Mapping HBM2010, 2010.