A Comprehensive Analysis of Medical Image Fusion Techniques: A Detailed Review

T. M. Hayat, Sai Madhavi D.

2023

Abstract

Image fusion involves merging a collection of images of the same scene to create a single composite image. Its purpose is to generate a more visually appealing image or to extract additional valuable information from it. The main aim of image fusion is to produce a new image that contains high-quality data, which cannot be obtained through other means. This process combines multisensor, multiview, and multitemporal data to create a single, comprehensive image. Image fusion techniques have been applied in various fields, including remote sensing, astronomy, and medical imaging. In medical imaging, image fusion has been particularly useful for simultaneously evaluating CT, MRI, and PET images to find what type of disease or its effect. In this paper, we present a novel literature review on image fusion techniques applied to medical images. Our findings suggest that image fusion can greatly improve the clinical reliability of disease diagnosis and analysis, and we anticipate strong growth in this field in the near future.

Paper Citation

in Harvard Style

Hayat T. and Madhavi D. S. (2023). A Comprehensive Analysis of Medical Image Fusion Techniques: A Detailed Review. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 147-152. DOI: 10.5220/0012603200003739

in Bibtex Style

@conference{ai4iot23,
author={T. M. Hayat and Sai Madhavi D.},
title={A Comprehensive Analysis of Medical Image Fusion Techniques: A Detailed Review},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={147-152},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012603200003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - A Comprehensive Analysis of Medical Image Fusion Techniques: A Detailed Review
SN - 978-989-758-661-3
AU - Hayat T.
AU - Madhavi D. S.
PY - 2023
SP - 147
EP - 152
DO - 10.5220/0012603200003739
PB - SciTePress