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使用快速化学位移成像技术测量骨髓温度依赖性变化。

Measurement of temperature dependent changes in bone marrow using a rapid chemical shift imaging technique.

机构信息

Department of Imaging Physics, University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030, USA.

出版信息

J Magn Reson Imaging. 2011 May;33(5):1128-35. doi: 10.1002/jmri.22537.

Abstract

PURPOSE

To provide quantitative temperature monitoring for thermal therapies in bone marrow by measuring temperature-dependent signal changes in the bone marrow of ex vivo canine femurs heated with a 980-nm laser at 1.5T and 3.0T.

MATERIALS AND METHODS

Using a multi-gradient echo (≤ 16) acquisition and signal modeling with the Stieglitz-McBride algorithm, the temperature sensitivity coefficients (TSC, ppm/°C) of water and multiple lipid components' proton resonance frequency (PRF) values are measured at high spatiotemporal resolutions (1.6 × 1.6 × 4 mm(3) , ≤ 5 seconds). Responses in R(2) * and amplitudes of each peak were also measured as a function of temperature simultaneously.

RESULTS

Calibrations demonstrate that lipid signal may be used to compensate for B(0) errors to provide accurate temperature readings (<1.0°C). Over a temperature range of 17.2-57.2°C, the TSCs after correction to a bulk methylene reference are -0.87 × 10(-2) ± 4.7 × 10(-4) ppm/°C and -0.87 × 10(-2) ± 4.0 × 10(-4) ppm/°C for 1.5T and 3.0T, respectively.

CONCLUSION

Overall, we demonstrate that accurate and precise temperature measurements can be made in bone marrow. In addition, the relationship of R(2) * and signal amplitudes with respect to temperature are shown to differ significantly where conformal changes are predicted by Arrhenius rate model analysis.

摘要

目的

通过测量在 1.5T 和 3.0T 下用 980nm 激光加热的离体犬股骨骨髓中的温度依赖性信号变化,为骨髓的热疗提供定量温度监测。

材料和方法

使用多梯度回波(≤16)采集和使用 Stieglitz-McBride 算法的信号建模,在高时空分辨率(1.6×1.6×4mm³,≤5 秒)下测量水和多个脂质成分质子共振频率(PRF)值的温度灵敏度系数(TSC,ppm/°C)。还同时测量了 R²*和每个峰的幅度作为温度的函数的响应。

结果

校准表明,脂质信号可用于补偿 B0 误差,以提供准确的温度读数(<1.0°C)。在 17.2-57.2°C 的温度范围内,校正至整体亚甲基参考后的 TSC 分别为-0.87×10(-2)±4.7×10(-4)ppm/°C 和-0.87×10(-2)±4.0×10(-4)ppm/°C,用于 1.5T 和 3.0T。

结论

总体而言,我们证明可以在骨髓中进行准确和精确的温度测量。此外,R²*和信号幅度与温度的关系显示出显著差异,其中 Arrhenius 速率模型分析预测了一致的变化。

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