A review of multimodal medical image fusion techniques

B Huang, F Yang, M Yin, X Mo… - … mathematical methods in …, 2020 - Wiley Online Library
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 …

MRI and CT medical image fusion based on synchronized-anisotropic diffusion model

R Zhu, X Li, X Zhang, M Ma - IEEE Access, 2020 - ieeexplore.ieee.org
Medical image fusion can combine information from multi-modality images and express
them through a single image. How to design a fusion method to preserve more information …

Shearlet transform-based novel method for multimodality medical image fusion using deep learning

A Mergin, MSG Premi - International Journal of Computational …, 2023 - World Scientific
Multi-modality medical image fusion (MMIF) methods were widely used in a variety of clinical
settings. For specialists, MMIF could provide an image containing anatomical and …

A review of digital image fusion and its application

ZT Al-Mokhtar, FN Ibraheem… - Al-Rafidain Engineering …, 2021 - mosuljournals.com
Image Fusion is applied to get back a group of data from two or more than two images and
put it into one image to create additional wealthy information and profitable more than any of …

Multi-modal medical image fusion via three-scale decomposition and structure similarity balanced optimization

H Zhao, X Zhang, Z Wang, F Yang, R Zhu - Biomedical Signal Processing …, 2024 - Elsevier
The fine texture, noise and structure information in a source medical image are treated
equally, which may cause effective information to be masked or lost, making the fusion result …

Cross-Modality Interaction Network for Medical Image Fusion

W Song, X Zeng, AM Abdelmoniem… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Multi-modal medical image fusion maximizes the complementary information from diverse
modality images by integrating source images. The fused medical image could offer …

CT and MRI image fusion via multimodal feature interaction network

W Song, X Zeng, Q Li, M Gao, H Zhou, J Shi - Network Modeling Analysis …, 2024 - Springer
Computed tomography (CT) and magnetic resonance imaging (MRI) image fusion is a
popular technique for integrating information from two different modalities of medical …

Fusion based Brain Tumor Classification using Multiscale Transform Methods

S Prabha, RS Raghav, C Moulya… - 2020 International …, 2020 - ieeexplore.ieee.org
Medical “Image Fusion” is a sophisticated process of Merging and registering multiple
images from Single or multiple scanning techniques that can visualise the human body for …

Multi-scale fusion algorithm of intensity and polarization-difference images based on edge information enhancement

R Zhao, L Liu, X Kong, S Jiang, X Chen - Optical and Quantum Electronics, 2019 - Springer
To better integrate complementary and redundant information from different source images,
improve the edge information, and facilitate the target detection. A multi-scale fusion …

Multimodality medical image fusion based on non-sub-sampled contourlet transform

VS Parvathy, S Pothiraj… - International Journal of …, 2021 - inderscienceonline.com
The fusion of medical images is an essential and effective technique for disease analysis.
The current study proposed a Non Sub sampled Contourlet Transform (NSCT) image fusion …