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Medical Image Fusion Based on Ripplet Transform Type-I

By Sudeb Das, Manish Chowdhury, and Malay Kumar Kundu
Progress In Electromagnetics Research B, Vol. 30, 355-370, 2011


The motivation behind fusing multimodality, multiresolution images is to create a single image with improved interpretability. In this paper, we propose a novel multimodality Medical Image Fusion (MIF) method, based on Ripplet Transform Type-I (RT) for spatially registered, multi-sensor, multi-resolution medical images. RT is a new Multi-scale Geometric Analysis (MGA) tool, capable of resolving two dimensional (2D) singularities and representing image edges more efficiently. The source medical images are first transformed by discrete RT (DRT). Different fusion rules are applied to the different subbands of the transformed images. Then inverse DRT (IDRT) is applied to the fused coefficients to get the fused image. The performance of the proposed scheme is evaluated by various quantitative measures like Mutual Information (MI), Spatial Frequency (SF), and Entropy (EN) etc. Visual and quantitative analysis shows, that the proposed technique performs better compared to fusion scheme based on Contourlet Transform (CNT).


Sudeb Das, Manish Chowdhury, and Malay Kumar Kundu, "Medical Image Fusion Based on Ripplet Transform Type-I," Progress In Electromagnetics Research B, Vol. 30, 355-370, 2011.


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