论文标题
最小二乘算法noncartesian MR图像重建
Algorithms for Least-Squares Noncartesian MR Image Reconstruction
论文作者
论文摘要
尽管已知的数值问题，但迭代最小二乘MR重建通常使用共轭梯度算法。本文表明，最新的LSMR算法具有有利的数值特性，并且在Toeplitz嵌入不能用于加速共轭梯度方法的情况下应该首选。
Iterative least-squares MR reconstructions typically use the Conjugate Gradient algorithm, despite known numerical issues. This paper demonstrates that the more recent LSMR algorithm has favourable numerical properties, and is to be preferred in situations where Toeplitz embedding cannot be used to accelerate the Conjugate Gradient method.
