Абстрактный

COMPUTATION OF STATISTICAL FEATURES OF BRAIN MR IMAGES

Anamika Ahirwar

As the advancement in the medical field, automation plays an important role. In medical field, visualization and diagnosis, segmentation of medical image plays a vital role. An automatic segmentation method is implemented in this paper for brain MRI based on combination of self organizing map and neuro fuzzy techniques to calculate statistical features of MR brain images. In this paper we tested and compare the two categories, normal (Normal aging -I) and cancerous (Glioma-FDG-PET-II) brain MR images from whole brain atlas.