Hybrid technique in MRI Segmentation Methods

Abstract

Brain image segmentation is one of the most important parts of clinical diagnostic tools, brain images mostly contain noise, in homogeneity and sometimes deviation, therefore, accurate segmentation of brain images is a very difficult task, however the process of accurate segmentation of these images is very important and crucial for a correct diagnosis by clinical tools, this research presented a review of the methods used in brain segmentation, the review covers imaging modalities, magnetic resonance imaging, methods for noise reduction and segmentation, the purpose of research to compare between methods and combine it to improve the quality of image segmentation, it’s conclude with a discussion on the trend of future research in brain segmentation