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In Vivo Noninvasive Temperature Measurement by B-Mode Ultrasound Imaging

机译:通过B模式超声成像进行体内无创温度测量

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Objective. This study investigated the use of ultrasound image analysis in quantifying temperature changes in tissue, both ex vivo and in vivo, undergoing local hyperthermia. Methods. Temperature estimation is based on the thermal dependence of the acoustic speed in a heated medium. Because standard beam-forming algorithms on clinical ultrasound scanners assume a constant acoustic speed, temperature-induced changes in acoustic speed produce apparent scatterer displacements in B-mode images. A cross-correlation algorithm computes axial speckle pattern displacement in B-mode images of heated tissue, and a theoretically derived temperature-displacement relationship is used to generate maps of temperature changes within the tissue. Validation experiments were performed on excised tissue and in murine subjects, wherein low-intensity ultrasound was used to thermally treat tissue for several minutes. Diagnostic temperature estimation was performed using a linear array ultrasound transducer, while a fine-wire thermocouple invasively measured the temperature change. Results. Pearson correlations ± SDs between the image-derived and thermocouple-measured temperature changes were R2 = 0.923 ± 0.066 for 4 thermal treatments of excised bovine muscle tissue and R2 = 0.917 ± 0.036 for 4 treatments of in vivo murine tumor tissue. The average differences between the two temperature measurements were 0.87°C ± 0.72°C for ex vivo studies and 0.97°C ± 0.55°C for in vivo studies. Maps of the temperature change distribution in tissue were generated for each experiment. Conclusions. This study demonstrates that velocimetric measurement on B-mode images has potential to assess temperature changes noninvasively in clinical applications.
机译:目的。这项研究调查了超声图像分析在量化经历局部热疗的体内和体外组织温度变化中的用途。方法。温度估算是基于加热介质中声速的热依赖性。由于临床超声扫描仪上的标准波束形成算法假设恒定的声速,因此温度引起的声速变化会在B模式图像中产生明显的散射位移。互相关算法计算加热的组织的B模式图像中的轴向斑点图案位移,并且使用理论上推导的温度-位移关系来生成组织内温度变化的图。在切除的组织和鼠科动物中进行了验证实验,其中使用低强度超声对组织进行了几分钟的热处理。使用线性阵列超声换能器进行诊断温度估计,而细线热电偶有创地测量温度变化。结果。图像和热电偶测量的温度变化之间的皮尔逊相关性±SDs对于4例切除的牛肌肉组织进行热处理时,R2 = 0.923±0.066;对于4种体内鼠肿瘤组织处理,R2 = 0.917±0.036。两次温度测量之间的平均差异对于离体研究而言为0.87°C±0.72°C,对于体内研究而言为0.97°C±0.55°C。为每个实验生成组织中温度变化分布图。结论。这项研究表明,在B型图像上进行测速测量有潜力在临床应用中无创地评估温度变化。

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