Medical image fusion: A survey of the state of the art
Medical image fusion: A survey of the state of the art
复制标题
DOI：
10.1016/j.inffus.2013.12.002
复制
发表时间：
2014-09-01
影响因子：
18.6
通讯作者：
Dasarathy, Belur V.
中科院分区：
文献类型：
--
作者：
James, Alex Pappachen;Dasarathy, Belur V.
医学图像融合是将来自单一或多种成像方式的多幅图像进行配准和组合，以提高成像质量，减少随机性和冗余性，从而提高医学图像在诊断和评估医学问题中的临床适用性的过程。多模态医学图像融合算法和设备在提高基于医学图像的临床决策准确性方面取得了显著成就。这篇综述文章提供了一个事实清单的方法，并总结了在医学图像融合领域面临的广泛的科学挑战。本文基于(1)广泛使用的图像融合方法，(2)成像方式，(3)所研究器官的成像，对医学图像融合研究进行了概述。本综述的结论是，尽管存在一些开放式的技术和科学挑战，但医学图像融合已被证明有助于提高医学成像用于医学诊断和分析的临床可靠性，并且是一门在未来几年有显著增长潜力的科学学科。(C) 2014 Elsevier B.V.版权所有
Medical image fusion is the process of registering and combining multiple images from single or multiple imaging modalities to improve the imaging quality and reduce randomness and redundancy in order to increase the clinical applicability of medical images for diagnosis and assessment of medical problems. Multi-modal medical image fusion algorithms and devices have shown notable achievements in improving clinical accuracy of decisions based on medical images. This review article provides a factual listing of methods and summarizes the broad scientific challenges faced in the field of medical image fusion. We characterize the medical image fusion research based on (1) the widely used image fusion methods, (2) imaging modalities, and (3) imaging of organs that are under study. This review concludes that even though there exists several open ended technological and scientific challenges, the fusion of medical images has proved to be useful for advancing the clinical reliability of using medical imaging for medical diagnostics and analysis, and is a scientific discipline that has the potential to significantly grow in the coming years. (C) 2014 Elsevier B.V. All rights reserved.