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Comparison of reconstruction algorithm for compressive sensing magnetic resonance imaging

机译:压缩传感磁共振成像重建算法的比较

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摘要

Compressed sensing can reconstruct the undersampled image. The combination of compressed sensing and magnetic resonance imaging is a potential future fast imaging method in hospitals. This study investigated five state-of-the-art reconstruction approaches: iterative shrinkage/threshold algorithm (ISTA), fast ISTA, subband-adaptive ISTA, exponential wavelet transform ISTA, and exponential wavelet ISTA with random search (EWISTARS). The simulation results compared the five algorithms over hand image and shoulder image. Finally, we can observe the EWISTARS obtains the best result.
机译:压缩感测可以重建欠采样图像。压缩感测和磁共振成像的结合是医院未来潜在的快速成像方法。这项研究调查了五种最新的重建方法:迭代收缩/阈值算法(ISTA),快速ISTA,自适应子带的ISTA,指数小波变换ISTA和具有随机搜索的指数小波ISTA(EWISTARS)。仿真结果对手部图像和肩膀图像上的五种算法进行了比较。最后,我们可以观察到EWISTARS获得了最佳结果。

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