PROMISE: Parallel-Imaging and Compressed-Sensing Reconstruction of Multicontrast Imaging Using SharablE Information
PROMISE: Parallel-Imaging and Compressed-Sensing Reconstruction of Multicontrast Imaging Using SharablE Information
复制标题
承诺：使用可共享信息对多对比成像进行并行成像和压缩传感重建
DOI：
10.1002/mrm.25142
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发表时间：
2015-02-01
影响因子：
3.3
通讯作者：
Yuan, Chun
中科院分区：
文献类型：
--
作者：
Gong, Enhao;Huang, Feng;Yuan, Chun
典型的临床 MR 检查包括多次扫描，以获取具有不同对比度的图像，以获取补充诊断信息。多重对比方案需要较长的扫描时间。部分并行成像和压缩感知（CS-PPI）的结合已用于重建加速扫描。然而，现有方法还存在一些未解决的问题。这项工作的目标是改进现有的多对比成像 CS-PPI 方法，特别是二维成像。
A typical clinical MR examination includes multiple scans to acquire images with different contrasts for complementary diagnostic information. The multicontrast scheme requires long scanning time. The combination of partially parallel imaging and compressed sensing (CS‐PPI) has been used to reconstruct accelerated scans. However, there are several unsolved problems in existing methods. The target of this work is to improve existing CS‐PPI methods for multicontrast imaging, especially for two‐dimensional imaging.