Author/Authors :
Huang, Bing School of Computer and Electronics and Information - Guangxi University - Nanning - Guangxi, China , Yang, Feng School of Computer and Electronics and Information - Guangxi University - Nanning - Guangxi, China , Yin, Mengxiao School of Computer and Electronics and Information - Guangxi University - Nanning - Guangxi, China , Mo, Xiaoying School of Computer and Electronics and Information - Guangxi University - Nanning - Guangxi, China , Zhong, Cheng School of Computer and Electronics and Information - Guangxi University - Nanning - Guangxi, China
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.
Keywords :
Multimoda , Techniques , Medical , MRI
