A study on image features using intensity profile for cortical dysplasia degree estimation

2010 World Automation Congress, WAC 2010

Volumn , Issue , 2010, Pages

  Kawakami, Nobuyoshi ^a   Kobashi, Syoji ^a,b   Kuramoto, Kei ^a,b   Kitamura, Yuri T ^c   Kagitani Shimono, Kuriko ^c   Imawaki, Seturo ^d   Taniike, Masako ^c   Hata, Yutaka ^a,b  

^a UNIVERSITY OF HYOGO   (Japan)

^b OSAKA UNIVERSITY   (Japan)

^c OSAKA UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

^d Ishikawa Hospital   (Japan)

Author keywords

Cortical dysplasia; Epilepsy; Intensity profile; MR image; Pediatric

Indexed keywords

BRAIN MR; CEREBRAL CORTEX; CORTICAL DYSPLASIA; EPILEPSY; ESTIMATION METHODS; IMAGE FEATURES; INTENSITY PROFILES; MEAN SENSITIVITY; MR IMAGES;

CLARIFICATION; ESTIMATION;

PEDIATRICS;

EID: 78651448990     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. D. C. Taylor, M. A. Falconer, C. J. Bruton, and J. A. N. Corsellis, "Focal Dysplasia of the Cerebral Cortex in Epilepsy, " Journal of Neurology, Neurosurgery, and Psychiatry, vol.34 no4, pp.369-387, 1971.
2. O. Colliot, T. Mansi, N. Bernasconi, V. Naessens, D. Klironomos, and A. Bernasconi, "Segmentation of Focal Cortical Dysplasia Lesions on MRI Using Level Set Evolution, " NeuroImage, vol.32, no.4, pp.1621-1630, 2006.
3. O. Colliot, N. Bernasconi, N. Khalili, S.B. Antel, V. Naessens, and A. Bernasconi, "Individual Voxel-based Analysis of Gray Matter in Focal Cortical Dysplasia, " NeuroImage, vol.29, no.1, pp.162-171, 2006.
4. S. Srivastava, F. Maes, D. Vandermeulen, W. V. Paesschen, P. Dupont, and P. Suetensa, "Feature-based Statistical Analysis of Structural MR Data for Automatic Detection of Focal Cortical Dysplastic Lesions, " NeuroImage, vol.27, no.2, pp.253-266, 2005.
5. C. D. Good, I. S. Johnsrude, J. Ashburner, R. N. A. Henson, K. J. Friston, and R. S. J. Frackowiak, "A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains, " NeuroImage, vol.14, no.1, pp.21-36, 2001.
6. N. Kawakami, S. Kobashi, K. Kagitani-Shimono, S. Imawaki, M. Taniike, and Y. Hata, "Cortical Dysplasia Detection Method with Support Vector Machine in Pediatric Brain MR Images, " Proceeding of International Forum on Medical Imaging in Asia, pp. 11-16, 2009.
7. R. M Haralick, K Shanmugam, and I. H Dinstein, "Textural Features for Image Classification, " IEEE Transactions on Systems, Man and Cybernetics, vol.3, no.6, pp.610-621, 1973.
8. N. Cristianini and J. Shawe-Taylor, An introduction to Support Vector Machines, Cambridge University Press, 2000.
9. M.W. Woolrich, S. Jbabdi, B. Patenaude, M. Chappell, S. Makni, T. Behrens, C. Beckmann, M. Jenkinson, S.M. Smith. "Bayesian analysis of neuroimaging data in FSL, " NeuroImage, vol.45(S) pp.173-186, 2009.
10. S.M. Smith, M. Jenkinson, M.W. Woolrich, C.F. Beckmann, T.E.J. Behrens, H. Johansen-Berg, P.R. Bannister, M. De Luca, I. Drobnjak, D.E. Flitney, R. Niazy, J. Saunders, J. Vickers, Y. Zhang, N. De Stefano, J.M. Brady, and P.M. Matthews. "Advances in functional and structural MR image analysis and implementation as FSL, " NeuroImage, vol.23(S1), pp.208-219, 2004.
11. S. Kobashi, Y. Fujimoto, M. Ogawa, K. Ando, R. Ishikura, K. Kondo, S. Hirota, and Y. Hata, "Fuzzy-ASM Based Automated Skull Stripping Method from Infantile Brain MR Images, " in Proceedings of the 2007 IEEE International Conference on Granular Computing, pp. 632-635, 2007.
12. T. Joachims, SVMlight : Support Vector Machine, http://svmlight.joachims. org/
13. T. Joachims, Learning to Classify Text Using Support Vector Machines, Dissertation, Kluwer, 2002.