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Medical images fusion of nonsubsampled Contourlet transform and regional feature

LI Chao1*,LI Guangyao1,TAN Yunlan1,2,XU Xianglong1(1.College of Electronics and Information Engineering,Tongji University,Shanghai 201804,China; 2.College of Electronics and Information Engineering,Jinggangshan University,Jinggangshan Jiangxi 343009,China)  
With reference to the properties of multiscale and shift invariance of nonsubsampled Contourlet transform,and concerning the characteristics of Computed Tomography(CT) and Magnetic Resonance Imaging(MRI) images,a medical images fusion method was proposed.The proposed method fused the low frequency subband and high frequency subband of these medical images separately by the regional feature strategy.The paper introduced the judgment criteria of images fusion and expatiated on the principle and implementation of Nonsubsampled Contourlet Transform(NSCT).And this gave the subjective judgment and numeric measurement of the fusion images based on visual effect and information indexes.To evaluate the performance of the proposed algorithm,the authors compared the results with those of the algorithms,such as wavelet transform and Contourlet transform.The CT and MRI images simulation results of mandibular system indicate that the proposed method outperforms the others in terms of both visual quality and objective evaluation criteria,while it can integrate and maintain much more effective and detailed information as well.
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