Two-Dimensional Compressed Sensing Using the Cross-sampling Approach for Low-Field MRI Systems
Two-Dimensional Compressed Sensing Using the Cross-sampling Approach for Low-Field MRI Systems
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DOI：
10.1109/tmi.2014.2326864
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发表时间：
2014-05
影响因子：
10.6
通讯作者：
D. Tamada;K. Kose
中科院分区：
文献类型：
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作者：
D. Tamada;K. Kose
提出了一种采用交叉采样和自校准失调校正的压缩传感方法。基于图像配准的磁场不均匀性估计使得在不需要额外的射频脉冲或采集的情况下能够进行非共振校正。除了这一优点外，利用磁场不均匀的一阶分量实现了快速而直接的计算。使用体模和化学固定的鼠标进行的成像实验证明，在改善低场磁共振成像系统中磁共振图像的模糊和伪影方面具有实际好处。
A compressed sensing method using a cross sampling and self-calibrated off-resonance correction is proposed. Estimation of the magnetic field inhomogeneity based on image registration enables the off-resonance correction with no additional radio-frequency pulses or acquisitions. In addition to this advantage, a fast and straightforward calculation was achieved by using the first-order components of the magnetic field inhomogeneity. Imaging experiments using a phantom and a chemically fixed mouse demonstrated practical benefits in improving blurring and artifacts in magnetic resonance images in low field magnetic resonance imaging systems.