基于反向传播神经网络的自适应双边滤波的超声图像降噪  

Ultrasonic Image Denoising Using Adaptive Bilateral Filtering Based on Back Propagation Neural Network

作　　者：朱小方 净亮 邵党国[1] Zhu Xiaofang;Jing Liang;Shao Dangguo(Faculty of Information Engineering and Automation.Kunming University of Science and Technology,Kunming,Yunnan 650500,China)

机构地区：[1]昆明理工大学信息工程与自动化学院,云南昆明650500

出　　处：《激光与光电子学进展》2020年第24期155-164,共10页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(61462054,61732005,61672271,61741112);云南省自然科学基金(2017FB098);国家博士后面上科学基金项目(2016M592894XB);云南省科技厅科技计划项目(2015FB135);云南省重大科技项目(2018ZF017)。

摘　　要：在医学超声成像技术中,成像设备、成像机制和检测对象的不均匀性等因素导致超声图像中存在斑点噪声和部分失真的问题,这不仅降低了超声图像的质量,也给临床医学的诊断增加了难度。为了有效地抑制超声图像中的斑点噪声,提出了一种基于反向传播(BP)神经网络的自适应双边滤波的超声图像降噪方法。该方法能够通过BP神经网络预测的局部区域与参考噪声区域之间的相似度值区分超声图像中的噪声区域与组织区域,再通过将BP神经网络预测的相似度值与双边滤波器相结合实现对超声图像的自适应滤波。该双边滤波器能够对超声图像中不同的区域进行有区别的滤波。对4幅超声图像(物理体膜超声图像、肝脏超声图像1、肝脏超声图像2和肾脏超声图像)进行实验,结果表明该方法可以较好地抑制超声图像中的斑点噪声并保留其边缘特征,也能够得到更高的信噪比和更优的视觉效果。In the medical ultrasonic imaging technology,factors such as the imaging equipment,imaging mechanism,and non-uniformity of detection objects lead to problems of speckle noise and partial distortion in ultrasonic images,which not only reduce the quality of ultrasonic images,but also increase the difficulty of clinical diagnosis.In order to effectively suppress speckle noise in ultrasonic images,this paper proposes an adaptive bilateral filtering denoising method for ultrasonic images based on BP(back propagation)neural network.According to the similarity value between the local region and reference noise region predicted by BP neural network,our method can distinguish the noise regions and the tissue regions in the ultrasonic image.After that,the similarity value predicted by the BP neural network is combined with a bilateral filter to realize adaptive filtering of the ultrasonic images,and the bilateral filter can perform different filtering for different regions of the ultrasonic image.Experiments are carried out based on four ultrasonic images(the physical phantom ultrasonic image,the liver ultrasonic image 1,the liver ultrasonic image 2,and the kidney ultrasonic image).The results show that the method can better suppress speckle noise in the ultrasonic image and preserve its edge features,and can also obtain higher signal-to-noise ratio and better visual effect.

关 键 词：图像处理 超声图像 双边滤波器 自适应滤波 反向传播神经网络 斑点噪声抑制 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]