Abstract
Compressed sensing magnetic resonance imaging (CS-MRI) is a hot topic in the field of medical signal processing. However, it suffers from low-quality 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.
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Zhang, Y., Wang, S., Ji, G., Dong, Z., Yan, J. (2015). Preliminary Research on Combination of Exponential Wavelet and FISTA for CS-MRI. In: Ortuño, F., Rojas, I. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2015. Lecture Notes in Computer Science(), vol 9043. Springer, Cham. https://doi.org/10.1007/978-3-319-16483-0_17
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DOI: https://doi.org/10.1007/978-3-319-16483-0_17
Publisher Name: Springer, Cham
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