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Fast dynamic magnetic resonance imaging based on an improved Motion Estimation/Motion Compensation scheme

机译：基于改进的运动估计/运动补偿方案的快速动态磁共振成像

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Compressed Sensing (CS) increases the speed of MRI by reducing the sampling data. k-t FOCUSS is an effective CS algorithm for image reconstruction in dynamic MRI. In this method, in order to further improve its performance, a predictive frame is first obtained using the Motion Estimation (ME) and Motion Compensation (MC) algorithms, and the quality of reconstructed images can then be enhanced by the study of sparsity of the residuals based on the improved predictive frame. However, traditional MC algorithm usually causes block artifacts. In this work, an Overlapped Block Motion Compensation (OBMC) scheme was used to overcome this problem. Two reference frames, located at systole and diastole periods, were both acquired to improve the predication accuracy. Experimental results show that, the k-t FOCUSS with ME/MC and OBMC can successfully suppress the image artifacts generated by the standard k-t FOCUSS with ME/MC.
机译：压缩传感（CS）通过减少采样数据来提高MRI的速度。 k-t FOCUSS是用于动态MRI中图像重建的有效CS算法。在这种方法中，为了进一步提高其性能，首先使用运动估计（ME）和运动补偿（MC）算法获得了预测帧，然后可以通过研究图像的稀疏性来提高重建图像的质量。基于改进的预测框架的残差。但是，传统的MC算法通常会导致块伪影。在这项工作中，使用了重叠块运动补偿（OBMC）方案来克服此问题。获取两个参考帧，分别位于收缩期和舒张期，以提高预测准确性。实验结果表明，ME / MC和OBMC的k-t FOCUSS可以成功抑制标准的ME / MC的k-t FOCUSS产生的图像伪影。

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