Multispectral MR Images Segmentation Using SOM Network

Authors:
Tianbai Qian;Minglu Li
Affiliations:
Shanghai Jiaotong Univerisity;Shanghai Jiaotong Univerisity
Venue:
CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology
Year:
2004

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Abstract

The precise segmentation of Magnetic Resonance Images (MRI) is an important subject in both medical and computer science communities. With MRIýs property of multi-spectrum, we use the information from its PD-,T1-,and T2-weighted images, mapping them into a multi-dimensional intensity space and getting its vector gradient. Through the improvement of the step function, an unsupervised Self-Organizing Map (SOM) neural network is trained dynamically. To improve the effectiveness of segmentation, we develop a semi-supervised training scheme at the edge of image in multi-dimensional intensity space.