A method for MRI segmentation of brain tissue

Authors:
Bochuan Zheng;Zhang Yi
Affiliations:
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, P.R China;Machine Intelligence Laboratory, College of Computer Science, Sichuan University, Chengdu, P.R China
Venue:
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Year:
2010

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Abstract

The competitive layer model (CLM) of the Lotka-Volterra recurrent neural networks (LV RNNs) is capable of binding similar features into a layer by competing among neurons at different layers In this paper, the CLM of the LV RNNs is used to segment brain MR image Firstly, the CLM of the LV RNNs is applied to segment each subimage into several regions; Secondly, a similar neighboring region merging algorithm is adopted to merge the similar neighboring regions into larger regions, which depends on the intensity and area ratio of two neighboring regions; Finally, the survived regions are further classified into four classes by region-based fuzzy C-means (RFCM) definitely according to four tissues in brain Comparing with other three methods, our proposed method shows better performance.