A novel method of multimodal medical image fusion using fuzzy transform

• A multimodal medical image fusion method using fuzzy transform is proposed.
• Combination of entropy and select maxima based rule is used to perform fusion.
• Fused image obtained using proposed method preserves all important, relevant and interrelated information contained in input images.
• Fused image obtained using proposed method facilitates quick diagnosis and better treatment of diseases.

Combined analysis of medical images obtained from multiple imaging modalities is extensively used by clinical professionals for quick diagnosis and treatment of critical diseases. Therefore, multimodal medical image fusion, that fuses information from different medical images into a single fused image, have gained potential interest of researchers in recent years. In this paper, a novel method of multimodal medical image fusion using fuzzy-transform (FTR) is proposed. FTR based fusion helps in preservation as well as effective transfer of detailed information present in input images into a fused image. To evaluate and prove better performance of the proposed fusion method, a number of experiments and comparisons with other existing methods of fusion have been carried out in this paper. Experimental results and comparative analysis prove that the proposed fusion algorithm is effective and generates better results.