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利用平衡稳态自由进动信号模型改善脂肪/水分解。

Utilization of a balanced steady state free precession signal model for improved fat/water decomposition.

作者信息

Henze Bancroft Leah C, Strigel Roberta M, Hernando Diego, Johnson Kevin M, Kelcz Frederick, Kijowski Richard, Block Walter F

机构信息

University of Wisconsin-Madison, Department of Medical Physics, Wisconsin Institutes for Medical Research, Madison, Wisconsin, USA.

University of Wisconsin School of Medicine and Public health, Department of Radiology, Madison, Wisconsin, USA.

出版信息

Magn Reson Med. 2016 Mar;75(3):1269-77. doi: 10.1002/mrm.25728. Epub 2015 May 6.

DOI:10.1002/mrm.25728
PMID:25946145
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5034725/
Abstract

PURPOSE

Chemical shift based fat/water decomposition methods such as IDEAL are frequently used in challenging imaging environments with large B0 inhomogeneity. However, they do not account for the signal modulations introduced by a balanced steady state free precession (bSSFP) acquisition. Here we demonstrate improved performance when the bSSFP frequency response is properly incorporated into the multipeak spectral fat model used in the decomposition process.

THEORY AND METHODS

Balanced SSFP allows for rapid imaging but also introduces a characteristic frequency response featuring periodic nulls and pass bands. Fat spectral components in adjacent pass bands will experience bulk phase offsets and magnitude modulations that change the expected constructive and destructive interference between the fat spectral components. A bSSFP signal model was incorporated into the fat/water decomposition process and used to generate images of a fat phantom, and bilateral breast and knee images in four normal volunteers at 1.5 Tesla.

RESULTS

Incorporation of the bSSFP signal model into the decomposition process improved the performance of the fat/water decomposition.

CONCLUSION

Incorporation of this model allows rapid bSSFP imaging sequences to use robust fat/water decomposition methods such as IDEAL. While only one set of imaging parameters were presented, the method is compatible with any field strength or repetition time.

摘要

目的

基于化学位移的脂肪/水分解方法(如IDEAL)常用于B0不均匀性较大的具有挑战性的成像环境中。然而,它们没有考虑到平衡稳态自由进动(bSSFP)采集所引入的信号调制。在此,我们证明当将bSSFP频率响应适当地纳入分解过程中使用的多峰频谱脂肪模型时,性能会得到改善。

理论与方法

平衡SSFP允许快速成像,但也会引入具有周期性零点和通带的特征频率响应。相邻通带中的脂肪频谱成分将经历整体相位偏移和幅度调制,这会改变脂肪频谱成分之间预期的相长干涉和相消干涉。将bSSFP信号模型纳入脂肪/水分解过程,并用于生成脂肪模型的图像,以及在1.5特斯拉场强下对四名正常志愿者的双侧乳腺和膝盖图像。

结果

将bSSFP信号模型纳入分解过程可提高脂肪/水分解的性能。

结论

纳入该模型可使快速bSSFP成像序列使用诸如IDEAL等强大的脂肪/水分解方法。虽然仅给出了一组成像参数,但该方法与任何场强或重复时间均兼容。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f9/5034725/be7af0e14dee/nihms-816757-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f9/5034725/9c880896df03/nihms-816757-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f9/5034725/10754b72b33c/nihms-816757-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f9/5034725/2512c13fdb06/nihms-816757-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f9/5034725/c1a6add2617d/nihms-816757-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f9/5034725/be7af0e14dee/nihms-816757-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f9/5034725/9c880896df03/nihms-816757-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f9/5034725/10754b72b33c/nihms-816757-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f9/5034725/2512c13fdb06/nihms-816757-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f9/5034725/c1a6add2617d/nihms-816757-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33f9/5034725/be7af0e14dee/nihms-816757-f0005.jpg

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本文引用的文献

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High-resolution 3D radial bSSFP with IDEAL.高分辨率 3D 径向 bSSFP 与 IDEAL 技术。
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Ovarian masses: MR imaging with T1-weighted 3-dimensional gradient-echo IDEAL water-fat separation sequence at 3T.卵巢肿块:3T 下 T1 加权三维梯度回波 IDEAL 水脂分离序列的磁共振成像。
Magn Reson Med Sci. 2012;11(2):117-27. doi: 10.2463/mrms.11.117.
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Estimation of liver T₂ in transfusion-related iron overload in patients with weighted least squares T₂ IDEAL.采用加权最小二乘法 T₂ IDEAL 估计输血相关铁过载患者的肝脏 T₂ 值。
Magn Reson Med. 2012 Jan;67(1):183-90. doi: 10.1002/mrm.22986. Epub 2011 May 13.
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Noise analysis for 3-point chemical shift-based water-fat separation with spectral modeling of fat.基于谱模型的三点化学位移水脂分离的噪声分析。
J Magn Reson Imaging. 2010 Aug;32(2):493-500. doi: 10.1002/jmri.22220.
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