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多维磁共振数据采集的弛豫和扩散优化。

Optimization of multidimensional MR data acquisition for relaxation and diffusion.

机构信息

Schlumberger-Doll Research, Cambridge, Massachusetts, USA.

State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, China.

出版信息

NMR Biomed. 2020 Dec;33(12):e4238. doi: 10.1002/nbm.4238. Epub 2020 Feb 3.

Abstract

Multidimensional MR experiments of relaxation and diffusion have been successful for material characterization and have attracted attention recently for biomedical applications. However, such experiments typically require many scans of data acquisition and are time-consuming. This work discusses a method for systematic optimization of the pulse-sequence parameters to obtain optimal resolution within the experimental conditions, such as the number of acquisitions. Other optimization goals can also be incorporated in this framework.

摘要

多维弛豫和扩散磁共振实验已成功用于材料特性分析,最近也受到生物医学应用的关注。然而,此类实验通常需要多次扫描数据采集,耗时较长。本工作讨论了一种方法,用于对脉冲序列参数进行系统优化,以在实验条件(如采集次数)内获得最佳分辨率。该框架还可以纳入其他优化目标。

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