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A novel method of multimodal medical image fusion using fuzzy transform

机译:一种基于模糊变换的多模态医学图像融合新方法

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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. (C) 2016 Elsevier Inc. All rights reserved.
机译:从多种成像方式获得的医学图像的组合分析已被临床专业人员广泛用于快速诊断和治疗重大疾病。因此,近年来,将来自不同医学图像的信息融合成一个融合图像的多模式医学图像融合已经引起了研究人员的潜在兴趣。本文提出了一种新的基于模糊变换(FTR)的多模态医学图像融合方法。基于FTR的融合有助于保存并有效地将输入图像中存在的详细信息转移到融合图像中。评估并证明所提出融合方法的更好性能;本文进行了许多实验,并与其他现有的融合方法进行了比较。实验结果和对比分析表明,该融合算法有效且产生了较好的效果。 (C)2016 Elsevier Inc.保留所有权利。

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