The Prediction Algorithm of the Optimal X-Ray Tube Voltage in Variable Energy Imaging
文献类型：期刊论文
| 作者 | Bi Yan1; Chen Ping1,2; Han Yan1 |
| 刊名 | SPECTROSCOPY AND SPECTRAL ANALYSIS
 |
| 出版日期 | 2015-03-01 |
| 卷号 | 35期号:3页码:820-824 |
| 关键词 | X-ray Spectrum Complicated Structural Component Variable Energy Voltage Prediction Effective thickness |
| 英文摘要 | 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't match 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%. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Spectroscopy |
| 研究领域[WOS] | Spectroscopy |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000351025600048 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/10737]  |
| 专题 | 自动化研究所_中国科学院分子影像重点实验室 |
| 作者单位 | 1.North Univ China, Shanxi Key Lab Signal Capturing & Proc, Taiyuan 030051, Peoples R China 2.Chinese Acad Sci, Key Lab Mol Imaging, Inst Automat, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Bi Yan,Chen Ping,Han Yan. The Prediction Algorithm of the Optimal X-Ray Tube Voltage in Variable Energy Imaging[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2015,35(3):820-824. |
| APA | Bi Yan,Chen Ping,&Han Yan.(2015).The Prediction Algorithm of the Optimal X-Ray Tube Voltage in Variable Energy Imaging.SPECTROSCOPY AND SPECTRAL ANALYSIS,35(3),820-824. |
| MLA | Bi Yan,et al."The Prediction Algorithm of the Optimal X-Ray Tube Voltage in Variable Energy Imaging".SPECTROSCOPY AND SPECTRAL ANALYSIS 35.3(2015):820-824. |
入库方式： OAI收割
来源：自动化研究所
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