A new method based on the CLM of the LV RNN for brain MR image segmentation

Authors:
Bochuan Zheng;Zhang Yi
Affiliations:
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu 610054, PR China and College of Mathematics and Information, China West Normal Univers ...;Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu 610065, PR China
Venue:
Digital Signal Processing
Year:
2012

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Abstract

A new method based on the competitive layer model (CLM) implemented by Lotka-Volterra recurrent neural networks (LV RNNs) is proposed for brain MR image segmentation. This method firstly divides an MR image into sub-images, and segments each sub-image by the CLM of the LV RNN to obtain a lot of 4-connected regions. Secondly, any two neighboring regions that are similar to each other are merged to form one region. Finally, all remaining regions are clustered by the RFCM into background, CSF, GM and WM. Compared with other three methods using numerical simulations, our method is shown to be more effective.