小波算法在非介入式医用X光机管电流信号处理中的应用研究  

Wavelet Algorithm Applied in the Non-invasive's Medical X-ray Tube Current Signal Processing

作　　者：黄平[1,2] 方方[1] 杨勇[2] 刘志宏[2] 

机构地区：[1]成都理工大学,四川成都610059 [2]中国测试技术研究院,四川成都610021

出　　处：《核电子学与探测技术》2011年第11期1205-1209,共5页Nuclear Electronics & Detection Technology

摘　　要：医用诊断X光机在各级医院中被大量使用,为了保障医用X光机安全可靠运行,管电流参数作为质量监督控制对象在国家检定规程JJG 744-2004《医用诊断X射线辐射源》中已被明确提出。同时,由于小波算法具有良好的时频局部特性,在信号处理领域中被广泛采用,故采用小波算法实现对医用X光机管电流信号的多层次分解,提取有用特征信号,完成噪声滤波、信号重构数据处理,在与X光机的剂量验证比对实验中完成系统的重复性与线性测试。Medical diagnostic X-ray mAchine has been widely used in most hospitals,and the tube current parameters as an object of national quality supervision and control test procedures has been clearly stated in JJG 744-2004 ＂diagnostic X-ray radiation sources＂ in order to operate the medical X-ray machine safely and reliably.Meanwhile,the wavelet algorithm is widely used in the signal processing for its＇ good time-frequency localization characteristics.Therefore,we use the wavelet algorithm to convert the medical X-ray tube current siganl to multi-level signal decomposition,extract useful signal features,complete the noise filtering and signal reconstruction.At the same time,we complete the system＇s repeatability and linearity experimental with the dose mesurement of the X-ray mAchine.

关 键 词：管电流 小波算法 滤波 谐波 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]