Advancements in Medical Image Fusion Techniques
*Corresponding Author: Dr. Natalia Sokolova, Department of Image Fusion, Almaty Medical University, Kazakhstan, Email: n.sokolova@fusionimg.kzReceived Date: Oct 01, 2025 / Published Date: Oct 29, 2025
Citation: Sokolova DN (2025) Advancements in Medical Image Fusion Techniques. J Radiol 14: 744.DOI: 10.4172/2167-7964.1000744
Copyright: © 2025 Dr. Natalia Sokolova This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
This compilation of research focuses on the latest developments in medical image fusion. It covers advancements in integrating multimodal imaging data to improve diagnostic accuracy and patient outcomes in radiology. Key areas include deep learning applications, real-time guidance in interventional procedures, and specific uses in neuroimaging and musculoskeletal diagnostics. Novel techniques like latent space fusion and GAN-based approaches are explored, alongside critical evaluations of fusion metrics and specific modality combinations such as DBT and mammography. The shearlet transform is highlighted for its feature preservation capabilities.
