An innovative approach based on skull stripping for MRI images of human brain

Automated extraction of brain from magnetic resonance imaging (MRI) is a prerequisite in various Neuro image processing pipelines. The exactness of various image processing applications lies on the efficiency of skull stripping. Removal of non-brain tissues can be a challenging exercise considering the various complications of human brain, irregular parameters of MR scanners, personalized distinctive trait and many more. In this paper, a novel idea is proposed which is computationally efficient and robust for T1-weighted magnetic resonance brain images. In this research paper, we have proposed a methodology which optimizes the extraction of brain tissue using differential evolutionary (DE) algorithm and compared the results with the Artificial Bee Colony (ABC) algorithm.