质子热声信号检测与去噪方法研究  

Proton thermoacoustic signal detection and denoising method

作　　者：熊高文 张东[1] XIONG Gao-wen;ZHANG Dong(School of Physics and Technology,Wuhan University,Wuhan 430072,China)

机构地区：[1]武汉大学物理科学与技术学院

出　　处：《信息技术》2019年第9期48-51,55,共5页Information Technology

摘　　要：质子热声信号是在质子治疗过程当中由于能量沉积导致靶区热膨胀所产生的超声信号,这样产生的信号能被声学传感器检测到,但是这一类信号通常幅度小且容易被噪声掩盖,提高信噪比并凸显传感器接收到的有用信号对走时提取至关重要。文中提出一种模拟质子原声信号传播与检测的物理实验模型,并通过一种基于小波包阈值化处理的去噪算法对接收信号进行处理,最终达到良好的去噪效果,有效提取走时数据。The proton thermoacoustic signal is an ultrasonic signal generated by the thermal expansion of the target region during the proton therapy process. The resulting signal can be detected by the acoustic sensor, but this type of signal is usually small in amplitude and easily masked by noise. Increasing the SNR and highlighting the useful signals received by the sensor are critical to time-of-flight (TOF) extraction. In this paper, a physical experimental model for simulating the propagation and detection of proton acoustic signals is proposed. The received signal is processed by a denoising algorithm based on wavelet packet thresholding, which finally achieves good denoising effect and effectively extracts TOF data.

关 键 词：质子热声信号 走时 小波包 阈值化 

分 类 号：TP393.09[自动化与计算机技术—计算机应用技术]