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Multimodal medical image fusion using Redundant Discrete Wavelet Transform
Published in
Pages: 232 - 235
Medical image fusion has revolutionized medical analysis by improving the precision and performance of computer assisted diagnosis. In this research, a fusion algorithm is proposed to combine pairs of multispectral magnetic resonance imaging such as T1, T2 and Proton Density brain images. The proposed algorithm utilizes different features of Redundant Discrete Wavelet Transform, mutual information based non-linear registration and entropy information\ to improve performance. Experiments on the BrainWeb database show that the proposed fusion algorithm preserves both edge and component information, and provides improved performance compared to existing Discrete Wavelet Transform based fusion algorithms. © 2009 IEEE.
About the journal
JournalProceedings of the 7th International Conference on Advances in Pattern Recognition, ICAPR 2009