Comprehensive quantification of signal-to-noise ratio and g-factor for image-based and k-space-based parallel imaging reconstructions.
Comprehensive quantification of signal-to-noise ratio and g-factor for image-based and k-space-based parallel imaging reconstructions.
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DOI：
10.1002/mrm.21728
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发表时间：
2008-10
影响因子：
3.3
通讯作者：
McKenzie, Charles A.
中科院分区：
文献类型：
--
作者：
Robson, Philip M.;Grant, Aaron K.;Madhuranthakam, Ananth J.;Lattanzi, Riccardo;Sodickson, Daniel K.;McKenzie, Charles A.
并行成像重建导致以g因子为特征的空间变化的噪声放大，从而排除了对来自最终图像的噪声的常规测量。提出了一个简单的基于蒙特卡罗的方法，所有线性图像重建算法，它允许测量的信噪比和g因子，并证明了SENSE和GRAPPA重建加速收购，以前没有服从这样的评估。只需对相控阵接收机中的噪声幅度和相关性进行简单的“预扫描”测量，并进行单次加速图像采集，即可对信噪比和g因子进行稳健评估。“伪多重复制”方法已在体模和体内进行了严格验证，显示出与真实多重复制和分析方法的良好一致性。该方法普遍适用于临床应用中使用的并行成像重建技术，并且将允许针对所有并行成像策略的逐像素图像噪声测量，允许任意k空间轨迹、图像重建或噪声调节技术之间的定量比较。
Parallel imaging reconstructions result in spatially varying noise amplification characterized by the g-factor, precluding conventional measurements of noise from the final image. A simple Monte Carlo based method is proposed for all linear image reconstruction algorithms, which allows measurement of signal-to-noise ratio and g-factor and is demonstrated for SENSE and GRAPPA reconstructions for accelerated acquisitions that have not previously been amenable to such assessment. Only a simple “prescan” measurement of noise amplitude and correlation in the phased-array receiver, and a single accelerated image acquisition are required, allowing robust assessment of signal-to-noise ratio and g-factor. The “pseudo multiple replica” method has been rigorously validated in phantoms and in vivo, showing excellent agreement with true multiple replica and analytical methods. This method is universally applicable to the parallel imaging reconstruction techniques used in clinical applications and will allow pixel-by-pixel image noise measurements for all parallel imaging strategies, allowing quantitative comparison between arbitrary k-space trajectories, image reconstruction, or noise conditioning techniques.
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影响因子：
3.3
作者：
Sodickson, DK;Manning, WJ
通讯作者：
Manning, WJ
影响因子：
3.3
作者：
Reeder, SB;Wintersperger, BJ;Schoenberg, SO
通讯作者：
Schoenberg, SO
影响因子：
3.3
作者：
Heidemann, Robin M.;Griswold, Mark A.;Jakob, Peter M.
通讯作者：
Jakob, Peter M.
影响因子：
3.3
作者：
Griswold, MA;Jakob, PM;Haase, A
通讯作者：
Haase, A
影响因子：
3.3
作者：
Wang, Z;Wang, JJ;Detre, JA
通讯作者：
Detre, JA