A Review Of Complete Brain Extraction Methods Of MRI Images

Analyzing the tissues of human brain is now an important area in medical technology field. The segmentation helps physicians diagnose brain disorders like dementia, brain tumor etc. Magnetic Resonance Imaging (MRI) is an imaging modality used for taking brain images. In the past years, the segmentation methods were focused on conventional techniques. These techniques are classified as supervised, unsupervised, parametric models etc. The objective of these methods involves dividing brain regions into tissue types, localized structures etc. Nowadays, research has moved to neural networks and deep learning techniques that achieve robustness and accuracy. This article gives a complete literature study of various methods of segmenting brain regions. Every method includes the calculation of qualitative analysis such as Jaccard, Dice etc. These analyses are performed to compare the effectiveness of various segmentation methods