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Fast Compressed Sensing MRI Based on Complex Double-Density Dual-Tree Discrete Wavelet Transform.
Int J Biomed Imaging. 2017; 2017:9604178.IJ

Abstract

Compressed sensing (CS) has been applied to accelerate magnetic resonance imaging (MRI) for many years. Due to the lack of translation invariance of the wavelet basis, undersampled MRI reconstruction based on discrete wavelet transform may result in serious artifacts. In this paper, we propose a CS-based reconstruction scheme, which combines complex double-density dual-tree discrete wavelet transform (CDDDT-DWT) with fast iterative shrinkage/soft thresholding algorithm (FISTA) to efficiently reduce such visual artifacts. The CDDDT-DWT has the characteristics of shift invariance, high degree, and a good directional selectivity. In addition, FISTA has an excellent convergence rate, and the design of FISTA is simple. Compared with conventional CS-based reconstruction methods, the experimental results demonstrate that this novel approach achieves higher peak signal-to-noise ratio (PSNR), larger signal-to-noise ratio (SNR), better structural similarity index (SSIM), and lower relative error.

Authors+Show Affiliations

Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230027, China.Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230027, China.School of Computer Science, University of Lincoln, Brayford Pool, Lincoln LN6 7TS, UK.Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230027, China.Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, Anhui 230027, China.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

28487724

Citation

Chen, Shanshan, et al. "Fast Compressed Sensing MRI Based On Complex Double-Density Dual-Tree Discrete Wavelet Transform." International Journal of Biomedical Imaging, vol. 2017, 2017, p. 9604178.
Chen S, Qiu B, Zhao F, et al. Fast Compressed Sensing MRI Based on Complex Double-Density Dual-Tree Discrete Wavelet Transform. Int J Biomed Imaging. 2017;2017:9604178.
Chen, S., Qiu, B., Zhao, F., Li, C., & Du, H. (2017). Fast Compressed Sensing MRI Based on Complex Double-Density Dual-Tree Discrete Wavelet Transform. International Journal of Biomedical Imaging, 2017, 9604178. https://doi.org/10.1155/2017/9604178
Chen S, et al. Fast Compressed Sensing MRI Based On Complex Double-Density Dual-Tree Discrete Wavelet Transform. Int J Biomed Imaging. 2017;2017:9604178. PubMed PMID: 28487724.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Fast Compressed Sensing MRI Based on Complex Double-Density Dual-Tree Discrete Wavelet Transform. AU - Chen,Shanshan, AU - Qiu,Bensheng, AU - Zhao,Feng, AU - Li,Chao, AU - Du,Hongwei, Y1 - 2017/04/09/ PY - 2016/11/06/received PY - 2017/02/07/accepted PY - 2017/5/11/entrez PY - 2017/5/11/pubmed PY - 2017/5/11/medline SP - 9604178 EP - 9604178 JF - International journal of biomedical imaging JO - Int J Biomed Imaging VL - 2017 N2 - Compressed sensing (CS) has been applied to accelerate magnetic resonance imaging (MRI) for many years. Due to the lack of translation invariance of the wavelet basis, undersampled MRI reconstruction based on discrete wavelet transform may result in serious artifacts. In this paper, we propose a CS-based reconstruction scheme, which combines complex double-density dual-tree discrete wavelet transform (CDDDT-DWT) with fast iterative shrinkage/soft thresholding algorithm (FISTA) to efficiently reduce such visual artifacts. The CDDDT-DWT has the characteristics of shift invariance, high degree, and a good directional selectivity. In addition, FISTA has an excellent convergence rate, and the design of FISTA is simple. Compared with conventional CS-based reconstruction methods, the experimental results demonstrate that this novel approach achieves higher peak signal-to-noise ratio (PSNR), larger signal-to-noise ratio (SNR), better structural similarity index (SSIM), and lower relative error. SN - 1687-4188 UR - https://www.unboundmedicine.com/medline/citation/28487724/Fast_Compressed_Sensing_MRI_Based_on_Complex_Double_Density_Dual_Tree_Discrete_Wavelet_Transform_ L2 - https://doi.org/10.1155/2017/9604178 DB - PRIME DP - Unbound Medicine ER -
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