论文标题
MR指纹的时间多尺度方法
A temporal multiscale approach for MR Fingerprinting
论文作者
论文摘要
定量MRI（QMRI）对于研究和临床应用变得越来越重要，但是，QMRI的最新重建方法在计算上是过于刺激的。我们提出了一种时间多尺度方法，以减少QMRI中的计算时间。我们提出了一个新颖的近似值，而不是计算QMRI可能性的精确梯度，以依靠数据的时间平滑度。然后将这些梯度用于粗到十分（C2F）的方法，例如使用坐标下降。与未使用多级别的类似方法相比，还发现C2F方法提高了溶液的准确性。
Quantitative MRI (qMRI) is becoming increasingly important for research and clinical applications, however, state-of-the-art reconstruction methods for qMRI are computationally prohibitive. We propose a temporal multiscale approach to reduce computation times in qMRI. Instead of computing exact gradients of the qMRI likelihood, we propose a novel approximation relying on the temporal smoothness of the data. These gradients are then used in a coarse-to-fine (C2F) approach, for example using coordinate descent. The C2F approach was also found to improve the accuracy of solutions, compared to similar methods where no multiscaling was used.
