Hardy Edme H, Hoferer Jürgen, Mertens Dirk, Kasper Gerhard
Institut für Mechanische Verfahrenstechnik und Mechanik, Universität Karlsruhe (TH), 76128 Karlsruhe, Germany.
Magn Reson Imaging. 2009 Apr;27(3):393-400. doi: 10.1016/j.mri.2008.07.009. Epub 2008 Aug 28.
Due to improved quantification capabilities and enhanced signal-to-noise ratio (SNR), phase-corrected real reconstruction in magnetic resonance imaging is superior to the common magnitude reconstruction, especially at low SNR. This requires the development of an automated phase-correction algorithm. Existing methods are not well suited for multiple unconnected regions of very low SNR. For this situation, a method based on the real-signal maximization is implemented, in which the experimental image phase is approximated by a three-dimensional polynomial of up to third order. The presented implementation was successfully applied to data originating from different samples and pulse sequences.
由于磁共振成像中量化能力的提高和信噪比（SNR）的增强，相位校正的实部重建优于普通的幅度重建，尤其是在低信噪比情况下。这就需要开发一种自动相位校正算法。现有方法不太适合多个信噪比极低的不相连区域。针对这种情况，实现了一种基于实信号最大化的方法，其中实验图像相位由高达三阶的三维多项式近似。所提出的实现方法已成功应用于来自不同样本和脉冲序列的数据。
