@inproceedings{c16eaff2add249008c52d25665a5cc17,
title = "Compressed sensing based multi-modal medical image fusion using a combined fusion strategy",
abstract = "In this paper, a novel multi-modality medical image fusion method based on compressed sensing by fusing undersampled k-space data is proposed. In order to transfer structural information from the source images into the fused image clearly, a combined fusion strategy is designed for undersampled low and high frequency subbands of k-space data. The final fused image is reconstructed from fused subband data with the conjugate gradient method. The experimental results demonstrate that the proposed algorithm can substantially reduce sampling data and obtain satisfactory results to meet the demand of clinical diagnosis.",
keywords = "PCA, compressed sensing, k-space, medical image fusion, standard deviation",
author = "Xingbin Liu and Huiqian Du and Jiadi Bei and Wenbo Mei",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015 ; Conference date: 14-10-2015 Through 16-10-2015",
year = "2016",
month = feb,
day = "8",
doi = "10.1109/BMEI.2015.7401478",
language = "English",
series = "Proceedings - 2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "85--89",
editor = "Zhiyong Tao and Li Bai and Sen Lin and Jinguang Sun and Lipo Wang and Liangshan Shao",
booktitle = "Proceedings - 2015 8th International Conference on BioMedical Engineering and Informatics, BMEI 2015",
address = "United States",
}