Fuchs Johannes, Melkus Gerd, Borisjuk Ljudmilla, Jakob Peter
Department of Experimental Physics 5 (Biophysics), University of Würzburg, Würzburg, Germany,
MAGMA. 2015 Apr;28(2):127-34. doi: 10.1007/s10334-014-0453-4. Epub 2014 Jun 22.
Developing and evaluating an improved sampling pattern to track the dynamics of labeled substances in plants using indirect (13)C chemical shift imaging.
An algorithm to split an acquisition weighted sampling pattern into several undersampled sub-images is presented. The sampling patterns are used in CSI moving phantom experiments as well as in in vivo POCE-CSI experiments on barley stem and grain. Reconstruction is performed traditionally or by compressed sensing.
The moving phantom experiments show that the sampling pattern can reduce motion artifacts at the cost of an increased overall noise. The in vivo experiments demonstrate the feasibility of extracting a time series from a single imaging experiment.
The sampling pattern is suitable for tracking the uptake of label substances into plant material. The use of compressed sensing allows an increased spatial and temporal resolution.
开发并评估一种改进的采样模式，以利用间接（13）C化学位移成像追踪植物中标记物质的动态变化。
提出一种将采集加权采样模式分割成多个欠采样子图像的算法。该采样模式用于CSI移动模型实验以及大麦茎和籽粒的体内POCE-CSI实验。重建采用传统方法或压缩感知方法。
移动模型实验表明，该采样模式可以减少运动伪影，但代价是整体噪声增加。体内实验证明了从单个成像实验中提取时间序列的可行性。
该采样模式适用于追踪标记物质进入植物材料的摄取过程。压缩感知的使用可提高空间和时间分辨率。
