Comprehensive quantification of signal-to-noise ratio and g-factor for image-based and k-space-based parallel imaging reconstructions

被引:352
|
作者
Robson, Philip M. [1 ]
Grant, Aaron K. [1 ]
Madhuranthakam, Ananth J. [2 ]
Lattanzi, Riccardo [1 ,3 ]
Sodickson, Daniel K. [4 ]
McKenzie, Charles A. [5 ]
机构
[1] Beth Israel Deaconess Med Ctr, Dept Radiol, Boston, MA 02215 USA
[2] GE Healthcare, Global Appl Sci Lab, Boston, MA USA
[3] Harvard MIT, Div Hlth Sci & Technol, Boston, MA USA
[4] NYU, Sch Med, Dept Radiol, New York, NY USA
[5] Univ Western Ontario, Dept Med Biophys, London, ON, Canada
关键词
signal-to-noise ratio; image noise; g-factor; parallel imaging; image reconstruction;
D O I
10.1002/mrm.21728
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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 applicatiom; 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.
引用
收藏
页码:895 / 907
页数:13
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