低信噪比氟-19 MRI 数据准备协议。
Data Preparation Protocol for Low Signal-to-Noise Ratio Fluorine-19 MRI.
机构信息
Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine (MDC) in the Helmholtz Association, Berlin, Germany.
出版信息
Methods Mol Biol. 2021;2216:711-722. doi: 10.1007/978-1-0716-0978-1_43.
Fluorine-19 MRI shows great promise for a wide range of applications including renal imaging, yet the typically low signal-to-noise ratios and sparse signal distribution necessitate a thorough data preparation.This chapter describes a general data preparation workflow for fluorine MRI experiments. The main processing steps are: (1) estimation of noise level, (2) correction of noise-induced bias and (3) background subtraction. The protocol is supplemented by an example script and toolbox available online.This chapter is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers. This analysis protocol chapter is complemented by two separate chapters describing the basic concept and experimental procedure.
氟-19 MRI 在包括肾脏成像在内的广泛应用中显示出巨大的潜力，但通常较低的信噪比和稀疏的信号分布需要进行彻底的数据准备。本章描述了氟 MRI 实验的一般数据准备工作流程。主要的处理步骤包括：（1）噪声水平估计，（2）校正噪声引起的偏差，（3）背景减除。该方案得到了一个在线示例脚本和工具箱的补充。这一章是基于 COST 行动 PARENCHIMA 的工作，这是一个由欧洲科学技术合作组织（COST）计划资助的社区驱动网络，旨在提高肾脏 MRI 生物标志物的重现性和标准化。该分析方案章节由另外两章补充，描述了基本概念和实验过程。
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