The medical image fusion is the process of coalescing multiple images from multiple imaging modalities to obtain a fused image with a large amount of information for increasing the clinical applicability of medical images. In this paper, we attempt to give an overview of multimodal medical image fusion methods, putting emphasis on the most recent advances in the domain based on (1) the current fusion methods, including based on deep learning, (2) imaging modalities of medical image fusion, and (3) performance analysis of medical image fusion on mainly data set. Finally, the conclusion of this paper is that the current multimodal medical image fusion research results are more significant and the development trend is on the rise but with many challenges in the research field.

中文翻译：

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多模式医学图像融合技术综述。

医学图像融合是将来自多个成像模态的多个图像融合以获得具有大量信息的融合图像的过程，以增加医学图像的临床适用性。在本文中，我们尝试概述多模式医学图像融合方法，重点是基于以下方面的最新进展：（1）当前的融合方法，包括基于深度学习的融合方法；（2）医学成像模式图像融合，以及（3）主要基于数据集的医学图像融合性能分析。最后，本文的结论是，当前的多模式医学图像融合研究成果更为显着，发展趋势呈上升趋势，但在研究领域存在诸多挑战。