Abstract

One of the most important subjects in the processing MR image is segmentation, especially extraction of the brain regions, which is part of the decision of urgent operation on brain. This type of medical operations need speed up process with maximum accuracy. In this study, brain is segmented by using k-means algorithm. A combination of global, adaptive thresholding techniques and at the next stage morphological operations was used for pre-processing. Moreover after these stage the main aim was setting out in the regional different of specified brain disorders to detect normality or abnormality. MRI neuroimages were used. The parameters were slices consisted of 1. 5 mm thickness dual-echo fast spin echo data sets that are acquired through MRI scanners. The quality and robustness of the results of this study depend on the homogeneity of MRIs. Finally neuroimages were segmented to gray matter and white matter and volumetric measurements were calculated for whole brain and of these issue types.

References

• Ary JP, Klein SA, Fender DH. Location of sources of evoked scalp potentials: Corrections for skull and scalp thickness. IEEE Trans Biomed Eng 1981;28:447±452.
• SCHUMANN, C. , HAMSTRA, J. , GOODLIN-JONES, B. , LOTSPEICH, L. , KWON, H. , BUONOCORE, M. , LAMMERS, C. , REISS, A. ,, and AMARAL, D. , 2004. The amygdala is enlarged in children but not adolescents with autism; the hippocampus is enlarged at all ages. Journal of Neuroscience, 24(28):6392.
• ULAY, H. , and ERTUGRUL, A. , 2009. Otizmde Beyin Goruntuleme Bulgular: Bir Gozden Gecirme. Journal, Turkish Psychiatry.
• COURCHESNE, E. , KARNS, C. , DAVIS, H. , ZICCARDI, R. , CARPER, R. , TIGUE, Z. , CHISUM, H. , MOSES, P. , PIERCE, K. , LORD, C. ,, et al. , 2001. Unusual 42 brain growth patterns in early life in patients with autistic disorder: an MRI study. Neurology, 57(2):245. 50
• SPARKS, B. , FRIEDMAN, S. , SHAW, D. , AYLWARD, E. , ECHELARD, D. , ARTRU, A. , MARAVILLA, K. , GIEDD, J. , MUNSON, J. , DAWSON, G. ,, et al. , 2002. Brain structural abnormalities in young children with autism spectrum disorder. Neurology, 59(2):184.
• COURCHESNE, E. , 2004. Brain development in autism: early overgrowth followed by premature arrest of growth. Mental Retardation and Developmental Disabilities Research Reviews, 10(2):106–111.
• AYLWARD, E. , MINSHEW, N. , FIELD, K. , SPARKS, B. ,, and SINGH, N. , 2002. Effects of age on brain volume and head circumference in autism. Neurology, 59(2):175.
• COURCHESNE, E. , REDCAY, E. ,, and KENNEDY, D. , 2004. The autistic brain: birth through adulthood. Current Opinion in Neurology, 17(4):489.
• HAZLETT, H. , POE, M. , GERIG, G. , SMITH, R. ,, and PIVEN, J. , 2006. Cortical gray and white brain tissue volume in adolescents and adults with autism. Biological Psychiatry, 59(1):1–6.
• CARPER, R. , MOSES, P. , TIGUE, Z. ,, and COURCHESNE, E. , 2002. Cerebral lobes in autism: early hyperplasia and abnormal age effects. Neuroimage, 16(4):1038–1051.
• LINGURARU, M. , VERCAUTEREN, T. , REYES-AGUIRRE, M. , BALLESTER, M. ,, and AYACHE, N. , 2007. SEGMENTATION PROPAGATION FROM DEFORMABLE ATLASES FOR BRAIN MAPPING AND ANALYSIS.
• ABELL, F. , KRAMS, M. , ASHBURNER, J. , PASSINGHAM, R. , FRISTON, K. , FRACKOWIAK, R. , HAPP´E, F. , FRITH, C. ,, and FRITH, U. , 1999. The neuroanatomy of autism: a voxel-based whole brain analysis of structural scans. Neuroreport, 10(8):1647.
• MCALONAN, G. , DALY, E. , KUMARI, V. , CRITCHLEY, H. , AMELSVOORT, T. , SUCKLING, J. , SIMMONS, A. , SIGMUNDSSON, T. , GREENWOOD, K. , RUSSELL, A. ,, et al. , 2002. Brain anatomy and sensorimotor gating in Asperger's syndrome. Brain, 125(7):1594.