Department of Electrical Engineering, Stanford University, Stanford, California, USA.
J Magn Reson Imaging. 2010 Mar;31(3):719-24. doi: 10.1002/jmri.22029.
To investigate tissue dependence of the MRI-based thermometry in frozen tissue by quantification and comparison of signal intensity and T2* of ex vivo frozen tissue of three different types: heart muscle, kidney, and liver.
Tissue samples were frozen and imaged on a 0.5 Tesla MRI scanner with ultrashort echo time (UTE) sequence. Signal intensity and T2* were determined as the temperature of the tissue samples was decreased from room temperature to approximately -40 degrees C. Statistical analysis was performed for (-20 degrees C, -5 degrees C) temperature interval.
The findings of this study demonstrate that signal intensity and T2* are consistent across three types of tissue for (-20 degrees C, -5 degrees C) temperature interval.
Both parameters can be used to calculate a single temperature calibration curve for all three types of tissue and potentially in the future serve as a foundation for tissue-independent MRI-based thermometry.
通过对三种不同类型的离体冷冻组织（心肌、肾脏和肝脏）的信号强度和 T2*定量比较，研究 MRI 测温的组织依赖性。
使用超短回波时间（UTE）序列的 0.5T MRI 扫描仪对组织样本进行冷冻和成像。当组织样本的温度从室温降至约-40°C 时，确定信号强度和 T2*。在（-20°C，-5°C）温度区间进行统计分析。
本研究的结果表明，在（-20°C，-5°C）温度区间内，三种组织的信号强度和 T2*是一致的。
这两个参数都可以用于为所有三种类型的组织计算单个温度校准曲线，并有可能在未来作为组织独立的基于 MRI 的测温的基础。
