Aim. It can help improve the hospital throughput to accelerate magnetic resonance imaging (MRI) scanning. Patients will benefit\nfrom less waiting time. Task. In the last decade, various rapid MRI techniques on the basis of compressed sensing (CS) were\nproposed. However, both computation time and reconstruction quality of traditional CS-MRI did not meet the requirement\nof clinical use. Method. In this study, a novel method was proposed with the name of exponential wavelet iterative shrinkage thresholding\nalgorithm with random shift (abbreviated as EWISTARS). It is composed of three successful components: (i)\nexponential wavelet transform, (ii) iterative shrinkage-thresholding algorithm, and (iii) random shift. Results. Experimental results\nvalidated that, compared to state-of-the-art approaches, EWISTARS obtained the least mean absolute error, the least mean-squared\nerror, and the highest peak signal-to-noise ratio. Conclusion. EWISTARS is superior to state-of-the-art approaches.
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