3D SEGMENTATION OF GLIOMA FROM BRAIN MR IMAGES USING SEEDED REGION GROWING AND FUZZY C-MEANS CLUSTERING
Tejus Thirumeni . · International Journal of Research in Engineering and Technology · 2015
This paper reports 3-D segmentation of glioma from brain MR images.We discuss two algorithms for brain MR image segmentation.The images used are axial MR images of the human brain.The images show a glioma.The objective is to segment the tumor and edema surrounding it from the images.Initially the images are pre-processed by contrast adjustment.Segmentation is performed by two algorithms: seeded region growing and fuzzy c-means clustering.After the images are segmented, the volumes of the segmented regions are measured.The segmentation has been performed in MATLAB.Finally the results are rendered in 3D in AMIRA.