Title :
Comparison of Two Methods for Automatic Segmentation of Brain MRI Based on 2D Seed Growth and Two Stage FCM Algorithm
Author :
Shanthi, K.J. ; Kumar, M. Sasi ; Keshavdas, C.
Author_Institution :
Dept. of Electron. & Comm., Sree Chitra Thirunal Coll. of Eng., Trivandrum, India
Abstract :
Automatic segmentation of brain MRI helps in the volumetric analysis of human brain. Segmentation results in extraction of the different cortical tissues from the slices of the T1 weighted MR brain I mages. Volumetric analysis helps in the early diagnosis of many neural disorders. We have discussed the two different approaches for the segmentation and a comparative analysis of the two methods are discussed.
Keywords :
biomedical MRI; brain; feature extraction; fuzzy set theory; image segmentation; medical image processing; 2D seed growth; MR brain images; brain MRI automatic segmentation; cortical tissue extraction; human brain volumetric analysis; neural disorders; Biomedical imaging; Educational institutions; Filters; Fuzzy neural networks; Image processing; Image segmentation; Magnetic resonance imaging; Medical diagnostic imaging; Pixel; Skull;
Conference_Titel :
Computational Intelligence for Modelling Control & Automation, 2008 International Conference on
Conference_Location :
Vienna
Print_ISBN :
978-0-7695-3514-2
DOI :
10.1109/CIMCA.2008.171
