Semnan University International Journal of Nonlinear Analysis and Applications 2008-6822 13 1 2022 03 01 A comparative study and overview on the magnetic resonance images skull stripping methods and their correspondence techniques 3783 3802 6164 10.22075/ijnaa.2022.6164 EN Rasha Helmi Nayyef Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq Mohammed S. H. Al-Tamimi Department of Computer Science, College of Science, University of Baghdad, Baghdad, Iraq Journal Article 2021 11 10 It is crucial to remember that the brain is a part of the body responsible for a wide range of sophisticated bodily activities. Brain imaging can be used to diagnose a wide range of brain problems, including brain tumours, strokes, paralysis, and other neurological conditions. An imaging technique known as Magnetic Resonance Imaging (MRI) is a relatively new method that can classify and categorize the brain non-brain tissues through high-resolution imaging's. For automated brain picture segmentation and analysis, the existence of these non-brain tissues is seen as a critical roadblock to success. For quantitative morphometric examinations of MR brain images, skull-stripping is often required. Skull-stripping procedures are described in this work, as well as a summary of the most recent research on skull-stripping. https://ijnaa.semnan.ac.ir/article_6164_a424472b6e480edb751a0c3441109047.pdf