THE SEGMENTATION OF BRAIN MR IMAGES USING REFORMATIVE EXPECTATION-MAXIMIZATION ALGORITHM
ABSTRACT We propose a reformative Expectation-Maximization algorithm for brain MRI segmentation. The method extends the traditional EM method to a power transformed version. To test the algorithm we compare it with the method used in SPM software. The test results show that the method performs well in brain MR images segmentation, the brain MR images can be segmented into distinct tissue types.