@inproceedings{c4652cd71df34dcd8515cd6ebd6cd746,
title = "MR image reconstruction from undersampled measurements using union-of-subspaces",
abstract = "This paper presents a new magnetic resonance (MR) image reconstruction method which focuses on estimating the largest K wavelet coefficients. We model the MR image within union of subspaces framework and propose an algorithm named as Subspace Update Algorithm (SUA) to identify subspace. Then we estimate the value of the largest K coefficients by solving the optimization problem consisting of a data fidelity term and a total variation (TV) regularization term. Experimental results on practical MR brain scans show that our proposed method provides high quality reconstruction results. The approach can be applied in many different imaging scenarios.",
keywords = "Compressed sensing, Image reconstruction, Magnetic resonance imaging, Subspace update algorithm, Union of subspaces",
author = "Yuan Wang and Di Zhao and Shuli Ma and Huiqian Du",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017 ; Conference date: 14-10-2017 Through 16-10-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/CISP-BMEI.2017.8302025",
language = "English",
series = "Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--5",
editor = "Qingli Li and Lipo Wang and Mei Zhou and Li Sun and Song Qiu and Hongying Liu",
booktitle = "Proceedings - 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2017",
address = "United States",
}