Department of Information Technology, ABES Institute of Technology (ABESIT), Ghaziabad, 201009, India.
Department of Computer Science and Engineering, G.L. Bajaj Institute of technology and Management (GLBITM), Greater Noida, 201306, India.
Med Biol Eng Comput. 2020 Apr;58(4):669-687. doi: 10.1007/s11517-020-02136-6. Epub 2020 Jan 28.
An image fusion based on multimodal medical images renders a considerable enhancement in the quality of fused images. An effective image fusion technique produces output images by preserving all the viable and prominent information gathered from the source images without any introduction of flaws or unnecessary distortions. This review paper intends to bring out the process of image fusion, its utilization in the medical domain, merits, and demerits and reviews the perspective of multimodal medical image fusion. It also discusses the involvement of various medical entities like medical resonance imaging (MRI), positron emission tomography (PET), and computed tomography (CT). The usefulness of such modalities is presented, suggesting plausible hybrid modality combinations which could greatly enhance image fusion. This review also discusses innovative dispositions in the medical image fusion techniques for the achievement of incisively desired, quality images focused on fusion with wavelet transform and use of independent component analysis (ICA) and principal component analysis (PCA) techniques for the purpose denoising and data dimension reductions. Additionally, the future-prospects of an ideal technique for medical image fusion through the utilization of various medical modalities have been also discussed in this review paper. Graphical abstract.
基于多模态医学图像的图像融合可显著提高融合图像的质量。有效的图像融合技术通过保留从源图像中收集的所有可行和突出的信息来生成输出图像，而不会引入任何缺陷或不必要的失真。本文旨在介绍图像融合的过程、它在医学领域的应用、优点和缺点，并回顾多模态医学图像融合的观点。它还讨论了各种医学实体的参与，如磁共振成像 (MRI)、正电子发射断层扫描 (PET) 和计算机断层扫描 (CT)。提出了这些模态的有用性，提出了可能的混合模态组合，可以极大地增强图像融合。本文还讨论了医学图像融合技术的创新配置，以实现精确期望的高质量图像，重点是与小波变换融合以及使用独立成分分析 (ICA) 和主成分分析 (PCA) 技术进行去噪和数据降维。此外，还通过利用各种医学模式讨论了医学图像融合的理想技术的未来前景。
