A Review of Multimodal Medical Image Fusion Techniques. (23rd April 2020)

• Record Type: Journal Article
• Authors: Huang, Bing; Yang, Feng; Yin, Mengxiao; Mo, Xiaoying; Zhong, Cheng
• Other Names: Fantacci Maria E. Academic Editor.
• Is Part Of: Computational and mathematical methods in medicine. Volume 2020(2020)
• Publication Date: 2020-04-23
• Subjects: Medicine -- Computer simulation -- Periodicals; Medicine -- Mathematical models -- Periodicals; 610.11
• DOI: 10.1155/2020/8279342
• Languages: English
• ISSNs: 1748-670X

Abstract

Abstract : 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.