Jaya Algorithm Guided Procedure to Segment Tumor from Brain MRI

Suresh Chandra Satapathy and Venkatesan Rajinikanth

Journal of Optimization, 2018, vol. 2018, 1-12

Abstract:

Brain abnormality is a cause for the chief risk factors in human society with larger morbidity rate. Identification of tumor in its early stage is essential to provide necessary treatment procedure to save the patient. In this work, Jaya Algorithm (JA) and Otsu’s Function (OF) guided method is presented to mine the irregular section of brain MRI recorded with Flair and T2 modality. This work implements a two-step process to examine the brain tumor from the axial, sagittal, and coronal views of the two-dimensional (2D) MRI slices. This paper presents a detailed evaluation of thresholding procedure with varied threshold levels ( Th=2,3,4,5 ), skull stripping process before/after the thresholding practice, and the tumor extraction based on the Chan-Vese approach. Superiority of JA is confirmed among other prominent heuristic approaches found in literature. The outcome of implemented study confirms that Jaya Algorithm guided method is capable of presenting superior values of Jaccard-Index, Dice-Coefficient, sensitivity, specificity, accuracy, and precision on the BRATS 2015 dataset.

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jjopti:3738049

DOI: 10.1155/2018/3738049

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