PHOTOACOUSTIC SIGNALS DENOISING BASED ON EMPIRICAL MODE DECOMPOSITION AND ENERGY-WINDOW METHOD

被引：11
|
作者：
Sun, Mingjian [1 ]
Feng, Naizhang [1 ]
Shen, Yi [1 ]
Shen, Xiangli [1 ]
Li, Jiangang [1 ]
机构：
[1] Harbin Inst Technol, Dept Control Sci & Engn, 92 West Dazhi St, Harbin 150001, Heilongjiang, Peoples R China
来源：
ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS | 2012年 / 4卷 / 1-2期
基金：
中国国家自然科学基金;
关键词：
Photoacoustic signals; denoising; empirical mode decomposition; energy window;
D O I：
10.1142/S1793536912500045
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In the process of photoacoustic imaging (PAI), the photoacoustic signals are polluted by a strong background white noise, which is caused by many factors such as the system thermal noise or short noise, the tissue reflecting or scattering interference, and the impedance match lack between the transducer and tissue. The inevitable noise can degrade the contrast sensitivity of photoacoustic images seriously. In this paper, based on the energy window, a CMSE-EMD denoising method is employed to photoacoustic image reconstruction. Results of the simulation demonstrate that it can eliminate the image artifacts more effectively and achieve great improvement in image quality.
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页数：13
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