Improved data reconstruction method for GRAPPA
Improved data reconstruction method for GRAPPA
复制标题
DOI：
10.1002/mrm.20601
复制
发表时间：
2005-09-01
影响因子：
3.3
通讯作者：
Detre, JA
中科院分区：
文献类型：
--
作者：
Wang, Z;Wang, JJ;Detre, JA
本文提出了一种改进的多列多线插值（MCMLI）广义自动校准部分并行采集（GRAPPA）数据重建方法。使用来自阵列线圈的所有组件的最近采集的线（k（y））相邻点和列（k（x））相邻点通过插值重建每个缺失的数据。设计了一种新的拟合方法来估计插值权值。仿真和体内实验表明，该方法产生更高质量的数据重建比原来的GRAPPA方法，特别是与高加速因子。
This paper presents an improved data reconstruction method for generalized autocalibrating partially parallel acquisitions (GRAPPA) using multicolumn multiline interpolation (MCMLI). Both nearest acquired line (k(y)) neighboring points and column (k(x)) neighboring points from all components of an array coil were used to reconstruct each missing datum through interpolation. A new fitting scheme was designed to estimate the interpolation weights. Both simulations and in vivo experiments demonstrated that the proposed method yields higher-quality data reconstruction than the original GRAPPA method, especially with high acceleration factors.