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Authors
Affiliations
1 Assistant Professor SG, Department of ECE, Saveetha School of Engineering, Chennai, IN
2 Professor, Department of ECE, Jerusalem College of Engineering, Chennai, IN
3 Professors, Department of ECE, Rajalakshmi Engineering College, Chennai, IN
Source
Indian Journal of Public Health Research & Development, Vol 10, No 11 (2019), Pagination: 3806-3812
Abstract
MR imaging gives the normal and abnormal anatomy of the brain. MR imaging plays a vital role in diagnosis, localization, quantifying the volume of the tumour and in treatment planning for the radiologists. In this we propose a method for segmentation of tumour regions of brain from a two dimensional (2D) cross sectional magnetic resonance (MR) images. In this an active contour segmentation algorithm is done regions. It uses the hybrid technique of intensity and fuzziness to segment the tumour region. The Flair MR image is used to estimate the whole region of the tumour. The MR images have a complex intensity which will not be able to give a proper segmentation if a single method is used. The segmentation is done without any training dataset. From the segmented results, the Radiologists can find the intensity of whole tumour. This method shows the significant improvement in segmentation compared to manual segmentation.
Keywords
Active Conyour, Brain Tumour, FCM, Magnetic Resonance Imaging, 3D Reconstruction.
