Extraction and Evaluation of Brain Tumor from MRI using Tsallis Entropy and Level set

Abstract

Brain tumor is a fatal disease among the human community and affects people irrespective of their age, gender and locality. In this paper, a semi-automated approach is considered to extract the tumor region from the benchmark brain MRI known as the BRATS 2015. A two-step procedure by integrating the tri-level thresholding and level-set segmentation is implemented to extract the tumor section from the MRI. Initially, Tsallis entropy assisted thresholding is implemented to enhance the tumor section; later the segmentation procedure is implemented to extract the tumor. After extracting the infected section, a relative analysis is executed with respect to the ground truth image in order to evaluate the performance of the proposed semi-automated tool. The experimental results of this work confirm that, proposed approach offers better average result for the Jaccard, Dice, sensitivity, specificity and accuracy. In future, this procedure can be considered to examine the real-time brain MRI obtained from the clinics.