Indian Journal of Public Health Research & Development
  • Year: 2019
  • Volume: 10
  • Issue: 11

Volume of the Brain Tumour Regions with Hybrid Segmentation

1Assistant Professor SG, Department of ECE, Saveetha School of Engineering, Chennai, India

2Professor, Department of ECE, Jerusalem College of Engineering, Chennai, India

3Professors, Department of ECE, Rajalakshmi Engineering College, Chennai, India

Online published on 27 March, 2020.

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