The Prediction Algorithm of the Optimal X-Ray Tube Voltage in VariableEnergy Imaging
BI Yan1, CHEN Ping1, 2*, HAN Yan1
1. Shanxi Key Laboratory of Signal Capturing & Processing, North University of China, Taiyuan 030051, China 2. Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
Abstract：X-ray variable energy imaging can obtain the sectional information of complicated structural component successively, and get the whole information by multi-spectrum fusion. Now the energy parameters of X ray imaging mainly depend on man-made setting with the certain step voltage. However this modulation doesn’tmatch to the attenuation thickness variation of the object. Therefore, this paper proposes an optimum tube voltage prediction algorithm based on variable energy imaging. It extracts the effective thickness (ET) and near the effective thickness (NET) in the image sequences which are acquired by pre-scanning the detected object. Then it establishes a physical model between image gray, tube voltage and X ray spectrum. And the model of voltage and gray difference between the ET (high quality area) and NET (prediction area) is also established. On the basis of these two models, the optimal imaging energy forecasting model of NET is modeled. Then, solve the model and get the optimal voltage for NET. At last, by the experiment of the steel blocks with different thickness, testify this prediction algorithm. The results compared with the actual values showed that the prediction algorithm can accurately predict 3 or 4 mm at low voltage and 7 or 10 mm at high voltage. Prediction accuracy is over 95%.
毕 1，陈 平1，2*，韩 焱1 . 递变能量成像中最佳X射线管电压预测算法 [J]. 光谱学与光谱分析, 2015, 35(03): 820-824.
BI Yan1, CHEN Ping1, 2*, HAN Yan1 . The Prediction Algorithm of the Optimal X-Ray Tube Voltage in VariableEnergy Imaging . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 35(03): 820-824.
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