Truncation effects in SENSE reconstruction
Truncation effects in SENSE reconstruction
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DOI：
10.1016/j.mri.2006.08.014
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发表时间：
2006-12-01
影响因子：
2.5
通讯作者：
Liang, Zhi-Pei
中科院分区：
文献类型：
--
作者：
Yuan, Lei;Ying, Leslie;Liang, Zhi-Pei
有限采样是傅里叶成像系统中一个重要的实际问题。虽然数据截断效应在传统的傅里叶成像中得到了很好的理解，其中使用单个均匀接收器通道进行数据采集，但在并行成像中，使用非均匀接收器通道阵列进行灵敏度编码以实现k空间的亚奈奎斯特采样，这一问题尚未得到充分解决。本文通过比较平行成像与传统傅里叶成像的截断效应，系统地分析了这一问题。具体来说，它推导出一个卷积核函数来表征截断效应，该函数被证明近似等于与传统傅里叶成像方案相关的卷积核函数。本文还描述了一组条件下，在并行成像和传统的傅立叶成像截断效应之间的显著差异发生。结果应该为解释和减少并行成像中的数据截断效应提供有用的见解。(c) 2006爱思唯尔公司版权所有。
Finite sampling is an important practical issue in Fourier imaging systems. Although data truncation effects are well understood in conventional Fourier imaging where a single uniform receiver channel is used for data acquisition, this issue is not yet fully addressed in parallel imaging where an array of nonuniform receiver channels is used for sensitivity encoding to enable sub-Nyquist sampling of k-space. This article presents a systematic analysis of the problem by comparing the truncation effects in parallel imaging with those in conventional Fourier imaging. Specifically, it derives a convolution kernel function to characterize the truncation effects, which is shown to be approximately equal to that associated with the conventional Fourier imaging scheme. This article also describes a set of conditions under which significant differences between the truncation effects in parallel imaging and conventional Fourier imaging occur. The results should provide useful insight into interpreting and reducing data truncation effects in parallel imaging. (c) 2006 Elsevier Inc. All rights reserved.