Brain Tissue Segmentation Using Expectation Maximization (EM)

Abstract

The segmentation is an essential part of many computer vision systems and medical applications. The goal is to divide an input image into a set of non-overlapping regions which union is the entire image. The Expectation-Maximization (EM) algorithm is an iterative technique designed for probabilistic models. Expectation-Maximization algorithm for segmenting brain MRI images (T1-w image) into the three main tissues: white matter (WM), grey matter (GM) and cerebrospinal fluid (CSF).