@inproceedings{fe49492652714332adbe2428425aca90,
title = "GIMI: A new evaluation index for 3D multimodal medical image fusion",
abstract = "Multimodal medical image fusion plays important roles in clinical applications. Existing indexes used to evaluate 2D medical image fusion algorithms are not suitable for 3D fusions. In this paper, a new evaluation index, which is named as GIMI, is proposed to evaluate and compare the quality of 3D medical image fusion algorithms. GIMI index is based on image volumes not slices. It captures spatial information through the combination of image intensity and gradient, where gradients are computed in 3D space to reconnect all separated image slices together. It treats image slices as a whole of volume to improve the consistency of evaluation. Quantitative and qualitative test results show that GIMI index is effective in evaluating 3D medical image fusions. Its evaluation is consistent with the visual perception of fused images.",
keywords = "3D fusion, Direct volume rendering, Evaluation index, Medical image fusion, Multimodal",
author = "Na Wang and Wenyao Zhang and Dawei Li",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 14th International Conference on Computational Intelligence and Security, CIS 2018 ; Conference date: 16-11-2018 Through 19-11-2018",
year = "2018",
month = dec,
day = "5",
doi = "10.1109/CIS2018.2018.00014",
language = "English",
series = "Proceedings - 14th International Conference on Computational Intelligence and Security, CIS 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "25--29",
booktitle = "Proceedings - 14th International Conference on Computational Intelligence and Security, CIS 2018",
address = "United States",
}