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两点 Dixon 脂肪-水分离法:提高相位校正算法的可靠性和准确性

Two-point Dixon fat-water separation: improving reliability and accuracy in phase correction algorithms.

作者信息

Schmidt Maria A, Fraser Karlene M

机构信息

Department of Medical Physics, St George's Hospital, London, UK.

出版信息

J Magn Reson Imaging. 2008 May;27(5):1122-9. doi: 10.1002/jmri.21310.

DOI:10.1002/jmri.21310
PMID:18407544
Abstract

PURPOSE

To propose an advanced phase-correction region-growing algorithm for two-point fat-water separation suitable for parotid assessment, and to evaluate the general performance of phase-correction algorithms.

MATERIALS AND METHODS

Two region-growing algorithms were evaluated in test objects and in head images: the original phase-correction algorithm (OPC) and the advanced phase-correction algorithm with voxel size manipulation (VSM) which includes: 1) starting the region-growing process from images of lower resolution and subsequently stepping toward the original matrix size, and 2) limiting the use of low-pass filters to fat-water interfaces with partial volume effects

RESULTS

Fundamental problems relate to biological tissue spectrum being poorly approximated by two discrete peaks for fat and water. The VSM algorithm was shown to be less noise-sensitive, faster, and to produce a better approximation for the field inhomogeneity map. In head images (6 volunteers, 10 slices each) 43 errors were found with the OPC algorithm and only 6 errors with the VSM algorithm. Only the OPC algorithm produced errors surrounding the parotids (10 errors).

CONCLUSION

The VSM algorithm provides a more accurate and less noise-sensitive fat-water separation. This highly significant performance improvement allows the application of phase-correction algorithms to a wider range of clinical applications.

摘要

目的

提出一种适用于腮腺评估的用于两点脂肪-水分离的先进相位校正区域生长算法,并评估相位校正算法的总体性能。

材料与方法

在测试对象和头部图像中评估了两种区域生长算法:原始相位校正算法(OPC)和具有体素大小操纵(VSM)的先进相位校正算法,其中VSM包括:1)从较低分辨率的图像开始区域生长过程,随后逐步达到原始矩阵大小,以及2)将低通滤波器的使用限制在具有部分容积效应的脂肪-水界面。

结果

基本问题涉及脂肪和水的两个离散峰对生物组织光谱的近似效果较差。VSM算法显示出对噪声更不敏感、速度更快,并且能更好地近似场不均匀性图。在头部图像(6名志愿者,每人10层)中,OPC算法发现43个错误,而VSM算法仅发现6个错误。只有OPC算法在腮腺周围产生错误(10个错误)。

结论

VSM算法提供了更准确且对噪声更不敏感的脂肪-水分离。这种显著的性能改进使得相位校正算法能够应用于更广泛的临床应用。

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Bioengineering (Basel). 2022 Oct 19;9(10):579. doi: 10.3390/bioengineering9100579.
2
Resolving phase ambiguity in dual-echo dixon imaging using a projected power method.使用投影幂法解决双回波狄克逊成像中的相位模糊问题。
Magn Reson Med. 2017 May;77(5):2066-2076. doi: 10.1002/mrm.26287. Epub 2016 May 25.
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Robust multipoint water-fat separation using fat likelihood analysis.基于脂肪可能性分析的稳健多点水脂分离。
Magn Reson Med. 2012 Apr;67(4):1065-76. doi: 10.1002/mrm.23087. Epub 2011 Aug 12.