首页> 外文会议>12th Mediterranean conference on medical and biological engineering and computing 2010 >Is the Average Gray-Level from Ultrasound B-Mode Images Able to Estimate Temperature Variations in Ex-Vivo Tissue?
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Is the Average Gray-Level from Ultrasound B-Mode Images Able to Estimate Temperature Variations in Ex-Vivo Tissue?

机译:超声B型图像的平均灰度值是否能够估算前体内组织的温度变化?

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This paper presents the first results of a method to estimate temperature change by monitoring the gray-scale average value of standard ultrasound (US) images. It was carried out an experiment with a bovine muscle sample with four thermocouples along its depth, spaced of 1 cm. The sample was immersed in a reservoir to which water at 50°C was added. Images were recorded with a commercial ultrasound equipment during sample heating and cooling (2.5 h experiment). Temperature was acquired every 10 s. Each image was then divided in four horizontal regions-of-interest (ROIs), corresponding to each thermocouple positioning. Average gray-scale values versus temperature change were obtained and have shown a clear linear pattern within the range 0.5 to 8°C for all ROIs. A linear model was proposed to fit the curves with a maximum prediction error of approximately 0.6°C, which is close to the accepted error for hyperthermia treatment (0.5°C). The next step is to use ultrasound also as the heating source.
机译:本文介绍了通过监视标准超声(US)图像的灰度平均值来估算温度变化的方法的第一个结果。进行了一个牛肌肉样品实验,该样品沿其深度为1厘米,具有四个热电偶。将样品浸入添加有50°C水的容器中。在样品加热和冷却(2.5小时实验)期间,使用商用超声设备记录图像。每10秒获取一次温度。然后将每个图像划分为四个水平的关注区域(ROI),分别与每个热电偶的位置相对应。获得了相对于温度变化的平均灰度值,并显示了所有ROI在0.5至8°C范围内的清晰线性模式。提出了一个线性模型来拟合曲线,其最大预测误差约为0.6°C,该误差接近热疗治疗可接受的误差(0.5°C)。下一步是将超声波也用作加热源。

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