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在 7T 场强下,对非平衡稳态自由进动序列中呼吸诱发的 B0 波动进行建模和抑制。

Modeling and suppression of respiration induced B0-fluctuations in non-balanced steady-state free precession sequences at 7 Tesla.

机构信息

MI-lab, Department of Medical Imaging, St. Olavs University Hospital, Trondheim, Norway.

出版信息

MAGMA. 2013 Aug;26(4):377-87. doi: 10.1007/s10334-012-0343-6. Epub 2012 Sep 25.

Abstract

OBJECT

To develop and evaluate a model for describing the S1 (S+) and S2 (S-) phase in the presence of off-resonance frequency fluctuations, and to evaluate the performance of a novel interleaved navigator echo scheme.

MATERIALS AND METHODS

Using the extended phase graph model, a linear phase term was added to the evolution of transverse states. An approximation for the total S2 phase was derived with one fit parameter τl, which serves as an effective lifetime of the S2 signal. The model was evaluated using synthetic and in vivo phase evolution data. In addition, a novel interleaved phase correction scheme for the nb-SSFP sequence was applied to BOLD-fMRI data, and the number of activated voxels before and after phase correction was determined.

RESULTS

The phases of S1 and S2 signals are significantly different from each other. The proposed nb-SSFP phase model provided a good description of the measured phase evolution data, and the approximate model for the S2 phase provided both at good fit to the data, as well as an effective lifetime of the S2 signal. In some subjects the phase contribution from older pathways was underestimated. In the BOLD-fMRI data, a twofold increase of the number of activated voxels for the S2 signal was observed, compared to no correction and a conventional navigator echo method.

CONCLUSION

The different phase evolution of S1 and S2 signals can be qualitatively described by the proposed model, and detrimental phase history effects are significant at 7 Tesla when not appropriately corrected.

摘要

目的

开发并评估一种模型,用于描述存在失谐频率波动时 S1(S+)和 S2(S-)相的情况,并评估一种新的交错导航回波方案的性能。

材料和方法

使用扩展相位图模型,在线性相位项中添加了横向状态的演化。通过一个拟合参数 τl 推导出总 S2 相位的近似值,该参数作为 S2 信号的有效寿命。使用合成和体内相位演化数据评估模型。此外,还将新的交错相位校正方案应用于 nb-SSFP 序列的 BOLD-fMRI 数据,确定相位校正前后激活体素的数量。

结果

S1 和 S2 信号的相位明显不同。所提出的 nb-SSFP 相位模型很好地描述了测量的相位演化数据,而 S2 相位的近似模型既对数据拟合良好,又提供了 S2 信号的有效寿命。在一些受试者中,较旧途径的相位贡献被低估。在 BOLD-fMRI 数据中,与无校正和传统导航回波方法相比,S2 信号的激活体素数量增加了两倍。

结论

该模型可以定性描述 S1 和 S2 信号的不同相位演化,在 7T 时如果不进行适当校正,会产生有害的相位历史效应。

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