Title of article :
A comparative study and overview on the magnetic resonance images skull stripping methods and their correspondence techniques
Author/Authors :
Helmi Nayyef, Rasha Department of Computer Science - College of Science - University of Baghdad, Baghdad, Iraq , Al-Tamimi, Mohammed S. H. Department of Computer Science - College of Science - University of Baghdad, Baghdad, Iraq
Abstract :
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.
Keywords :
Magnetic Resonance Image , Brain , Skull-stripping , Segmentation , Convolutional Neural Network , Feature Extraction
Journal title :
International Journal of Nonlinear Analysis and Applications