摘要
本文旨在减少高频超声成像过程中随机噪声对图像的影响。针对高频超声的特点,提出一种新的线平均降噪法。该方法通过在超声图像的每条扫描线上重复发射多个脉冲,接收回波信号并做叠加平均处理,达到降噪效果。该算法无需图像的统计信息,克服了一般滤波方法降低帧频、模糊图像细节的问题,并保留了图像的真实信息,提高了信噪比,最大限度地减少了伪像。通过对眼部房角部位的扫描显示,该方法在滤除图像的噪声点,保持图像细节方面有显著的效果。
To reduce the influence of random noise during imaging according to the feature of high frequency ultrasound. A new line average noise reduction method was designed in this paper. In this method,each scan line of the ultrasonic image was consists of multiple-echo data sets,as the ultrasonic pulse was transmitted repeatedly and did average processing on the echoes for noise reducing. The algorithm did not need statistical information of the image,overcoming the problems of general filtering methods,which may reduce the frame frequency and blurs details. When de-noising,this method retained the true image information and improved the signal-to-noise ratio with out vague image. Experiments show that this design has a significant effect on noise filtering and better use for maintaining image details.
出处
《生物医学工程研究》
2014年第1期11-14,共4页
Journal Of Biomedical Engineering Research
基金
国家科技支撑计划项目(2012BAI13B02)
天津市应用基础及前沿技术研究计划项目(12JCZDJC22500)
关键词
高频超声成像
随机噪声
线平均
浅表器官
信噪比
High frequency ultrasonic imaging
Stochastic noise
Line scan de-noising through averaging
Superficial organs
Signal to noise ratio（SNR）
