测试科学与仪器2023，Vol.14Issue(1)：35-44,10.DOI:10.3969/j.issn.1674-8042.2023.01.005
基于ICEEMDAN结合MMSVC和WT的HIFU回波信号联合去噪算法
A hybrid denoising algorithm for HIFU echo signal based on ICEEMDAN combined with MMSVC and WT
摘要
Abstract
High intensity focused ultrasound(HIFU)has been widely used in the biomedical field,and the noise processing for the HIFU echo signal has been a very critical problem.In order to obtain a purer and clearer HIFU echo signal,we propose a hybridt denoising method based on the improved complete ensemble empirical mode decomposition with adaptive noise(ICEEMDAN),minimum mean square variance criterion(MMSVC)and wavelet threshold(WT),which is called ICEEMDAN-MMSVC-WT.The ICEEMDAN can decompose the signal into a finite number of intrinsic mode functions(IMFs),which can avoid spurious modes and reduce the amount of noise contained in the modes.MMSVC is used to identify all IMFs by ICEEMDAN and divide these IMFs into two parts.The high frequency IMF components are denoised by WT first,and then combined with the low frequency IMF components to obtain the final denoised signal.In the experiments of simulation signal and actual HIFU echo signal,in comparison with other methods,the proposed denoising method retains the useful signal to the maximum extent,and removes the noise component largely,which has better denoising effect and application value.关键词
高强度聚焦超声/回波信号/改进的完全自适应噪声集成经验模态分解/最小均方方差准则/小波阈值Key words
high intensity focused ultrasound(HIFU)/echo signal/improved complete ensemble empirical mode decomposition with adaptive noise(ICEEMDAN)/minimum mean square variance criterion(MMSVC)/wavelet threshold(WT)引用本文复制引用
赵雨洁,颜上取,贺京琳,李吉祥,邹孝,钱盛友..基于ICEEMDAN结合MMSVC和WT的HIFU回波信号联合去噪算法[J].测试科学与仪器,2023,14(1):35-44,10.基金项目
National Natural Science Foundation of China(Nos.12274200 （）
11774088) （）
