@inproceedings{63598add2d124bd4950073d9504eac03,
title = "Preliminary research on combination of exponential wavelet and FISTA for CS-MRI",
abstract = "Compressed sensing magnetic resonance imaging (CS-MRI) is a hot topic in the field of medical signal processing. However, it suffers from lowquality reconstruction and long computation time. In this preliminary research, we took a study of applying exponential wavelet as a sparse representation to the conventional fast iterative shrinkage/threshold algorithm (FISTA) for the reconstruction of CSMRI scans. The proposed method was termed exponential wavelet iterative shrinkage/threshold algorithm (EWISTA). Simulation results demonstrated EWISTA was superior to existing algorithms w.r.t. reconstruction quality and computation time.",
keywords = "Compressed Sensing, Exponential Wavelet Transform, Fast Iterative Shrinkage/Threshold Algorithm, Magnetic Resonance Imaging",
author = "Yudong Zhang and Shuihua Wang and Genlin Ji and Zhengchao Dong and Jie Yan",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 3rd International Work Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015 ; Conference date: 15-04-2015 Through 17-04-2015",
year = "2015",
doi = "10.1007/978-3-319-16483-0_17",
language = "English",
isbn = "9783319164823",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "175--182",
editor = "Francisco Ortu{\~n}o and Ignacio Rojas",
booktitle = "Bioinformatics and Biomedical Engineering - 3rd International Conference, IWBBIO 2015, Proceedings",
}