Abstract：
OBJECTIVE: During any radiological procedure, it is important to know the dose to be-administered to the patient and this can be done by estimating the output of the X-ray tube either with a dosimeter or with a mathematical equation or Monte Carlo simulations. The aim of this work is to develop a new mathematical model equation (NMME) for estimating the output of high-frequency X-ray tubes.
METHODS: To achieve this, data collected from ten machines in many regions of Cameroon were used (for nine machines) to build an initial model that does not take into account the anode angle and the tenth machine was used to test the model. Using the SpekCalc software, some simulations were carried out to evaluate the influence of the anode angle. This allowed the NMME to be proposed.
RESULTS: The deviations frequencies between 0.65% and 19.61% were obtained by comparing the output values obtained using initial model with the measured values. The statistical hypothesis test showed that the estimated values using initial model and NMME are in agreement with those measured unlike the Kothan and Tungjai model. For the tenth machine, the percentage difference between estimated and measured values is less than 8 %.
CONCLUSIONS: These results show that the proposed model performed better than the previous models. In the absence of a dosimeter, the NMME could be used to estimate the output of high frequency X-ray machines and therefore the radiation doses received by patients during diagnostic X-ray examinations.
METHODS: To achieve this, data collected from ten machines in many regions of Cameroon were used (for nine machines) to build an initial model that does not take into account the anode angle and the tenth machine was used to test the model. Using the SpekCalc software, some simulations were carried out to evaluate the influence of the anode angle. This allowed the NMME to be proposed.
RESULTS: The deviations frequencies between 0.65% and 19.61% were obtained by comparing the output values obtained using initial model with the measured values. The statistical hypothesis test showed that the estimated values using initial model and NMME are in agreement with those measured unlike the Kothan and Tungjai model. For the tenth machine, the percentage difference between estimated and measured values is less than 8 %.
CONCLUSIONS: These results show that the proposed model performed better than the previous models. In the absence of a dosimeter, the NMME could be used to estimate the output of high frequency X-ray machines and therefore the radiation doses received by patients during diagnostic X-ray examinations.
摘要：
目的：在任何放射学过程中，重要的是要知道要给予患者的剂量，这可以通过使用剂量计或数学方程或蒙特卡罗模拟来估计X射线管的输出来完成。这项工作的目的是开发一种新的数学模型方程（NMME），用于估计高频X射线管的输出。
方法：要做到这一点，使用从喀麦隆许多地区的十台机器收集的数据（用于九台机器）来建立不考虑阳极角度的初始模型，并使用第十台机器来测试模型。使用SpekCalc软件，进行了一些模拟来评估阳极角度的影响。这允许提出NMME。
结果：通过将使用初始模型获得的输出值与测量值进行比较，获得了0.65％至19.61％之间的偏差频率。统计假设检验表明，使用初始模型和NMME的估计值与与Kathan和Tungjai模型不同的测量值一致。对于第十台机器，估计值和测量值之间的百分比差异小于8%。
结论：这些结果表明，所提出的模型比以前的模型表现更好。在没有剂量计的情况下，NMME可用于估计高频X射线机的输出，从而估计患者在诊断X射线检查期间接收的辐射剂量。
方法：要做到这一点，使用从喀麦隆许多地区的十台机器收集的数据（用于九台机器）来建立不考虑阳极角度的初始模型，并使用第十台机器来测试模型。使用SpekCalc软件，进行了一些模拟来评估阳极角度的影响。这允许提出NMME。
结果：通过将使用初始模型获得的输出值与测量值进行比较，获得了0.65％至19.61％之间的偏差频率。统计假设检验表明，使用初始模型和NMME的估计值与与Kathan和Tungjai模型不同的测量值一致。对于第十台机器，估计值和测量值之间的百分比差异小于8%。
结论：这些结果表明，所提出的模型比以前的模型表现更好。在没有剂量计的情况下，NMME可用于估计高频X射线机的输出，从而估计患者在诊断X射线检查期间接收的辐射剂量。
