THE SEGMENTATION OF BRAIN MR IMAGES USING REFORMATIVE EXPECTATION-MAXIMIZATION ALGORITHM-Reference-Cited by-同舟云学术

THE SEGMENTATION OF BRAIN MR IMAGES USING REFORMATIVE EXPECTATION-MAXIMIZATION ALGORITHM

Published:2010-04 Issue:02 Volume:10 Page:289-297
ISSN:0219-4678
Container-title:International Journal of Image and Graphics
language:en
Short-container-title:Int. J. Image Grap.

Author:

WU JIE¹,CHEN JIABI²,ZHANG XUELONG³,CHEN JINGHAI³

Affiliation:

1. School of Optical-Electrical and Computer Engineering, School of Medical Instrument and Food Engineering, Shanghai University of Science and Technology, Shanghai 200093, China

2. School of Optical-Electrical and Computer Engineering, Shanghai University of Science and Technology, Shanghai 200093, China

3. Medical Imaging Equipment Department, Shanghai Medical Instrumentation College, Shanghai 200093, China

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.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0219467810003780

Reference9 articles.

1. Segmentation of brain tissue from magnetic resonance images

2. A hierarchical latent variable model for data visualization

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