神经网络在GRAPPA算法中的应用

Application of neural networks in the GRAPPA algorithm

将神经网络引入到传统GRAPPA算法中,通过神经网络来训练GRAPPA权重系数,然后再利用欠采样数据进行重建。实验结果表明,将神经网络引入到GRAPPA算法中,可以重建出质量较好的图像。

This paper introduces the neural networks in traditional GRAPPA algorithm. Neural networks is used for GRAPPA weight coefficient training, then using under-sampled data to reconstruet. The experiment results show that introducing the neural networks into the GRAPPA algorithm can reconstruct images with good quality.