[1]惠钊,黄慧明.基于比率距离的自适应超声图像去噪方法[J].中国医学物理学杂志,2020,37(2):174-179.[doi:DOI:10.3969/j.issn.1005-202X.2020.02.008]
 HUI Zhao,HUANG Huiming.Adaptive ultrasound image denoising method based on ratio distance[J].Chinese Journal of Medical Physics,2020,37(2):174-179.[doi:DOI:10.3969/j.issn.1005-202X.2020.02.008]
点击复制

基于比率距离的自适应超声图像去噪方法()
分享到:

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

卷:
37
期数:
2020年第2期
页码:
174-179
栏目:
医学影像物理
出版日期:
2020-03-03

文章信息/Info

Title:
Adaptive ultrasound image denoising method based on ratio distance
文章编号:
1005-202X(2020)02-0174-06
作者:
惠钊黄慧明
武汉大学物理科学与技术学院, 湖北 武汉 430072
Author(s):
HUI Zhao HUANG Huiming
School of Physics and Technology, Wuhan University, Wuhan 430072, China
关键词:
图像处理超声图像比率距离去噪算法瑞利分布
Keywords:
Keywords: image processing ultrasound image ratio distance denoising algorithm Rayleigh distribution
分类号:
R318;TP391
DOI:
DOI:10.3969/j.issn.1005-202X.2020.02.008
文献标志码:
A
摘要:
针对超声图像噪声的瑞利分布特性,使用一种新的自适应超声图像去噪方法,改进固定窗口包含边缘时无法做到沿边缘方向滤波的不足。采用可自由伸缩的自适应滤波窗口,首先针对瑞利分布的噪声引入比率距离,得到超声图像像素间的相似度距离,然后考虑像素的邻域图像块均值,解决相似度距离之间比较的问题,最后像素根据新的相似度距离进行八方向伸展,得到不规则形状的滤波窗口进行去噪。用仿真超声图像和临床超声图像进行实验,图像评价指标结果表明该算法优于经典算法,更适用于去除超声图像的斑点噪声,在去除噪声的同时能够较好地保留细节边缘。
Abstract:
Abstract: For the Rayleigh distribution characteristics of ultrasound image noises, a new adaptive ultrasound image denoising method is improved to overcome the shortcoming of insufficient filtering in the edge direction when the fixed window contains edges. Adaptively scalable filter window is adopted in the study. For the ultrasound image noises with Rayleigh distribution characteristics, the ratio distance is firstly introduced to obtain the similarity distance between the pixels of ultrasound images. Then the mean value of the neighborhood image blocks of the pixel is considered to solve the problem of comparison between the similarity distances. Finally, the pixel is stretched in 8 directions according to the new similarity distance, and an irregular shaped filtering window is obtained for denoising. The experiments with simulated ultrasound images and clinical ultrasound images show that the proposed algorithm is superior to the classical algorithms. The proposed algorithm is more suitable for removing the speckle noise of the ultrasound image and preserving the edge of the detail while removing the noises.

相似文献/References:

[1]田 龙,李明辉,胡逸民,等.利用EPID图像金球位置自动跟踪算法研究[J].中国医学物理学杂志,2014,31(04):5038.[doi:10.3969/j.issn.1005-202X.2014.04.014]
[2]刘玉红,王志芳,杨佳仪,等.彩色图像二值化算法及应用[J].中国医学物理学杂志,2013,30(01):3873.[doi:10.3969/j.issn.1005-202X.2013.01.009]
[3]张绿川,杨艳.基于稀疏表示超像素分类的肿瘤超声图像分割算法[J].中国医学物理学杂志,2015,32(06):855.[doi:doi:10.3969/j.issn.1005-202X.2015.06.020]
 [J].Chinese Journal of Medical Physics,2015,32(2):855.[doi:doi:10.3969/j.issn.1005-202X.2015.06.020]
[4]刘一学,李锵,关欣,等.基于支持向量机的颈动脉超声图像内中膜厚度测量[J].中国医学物理学杂志,2016,33(5):451.[doi:10.3969/j.issn.1005-202X.2016.05.005]
 [J].Chinese Journal of Medical Physics,2016,33(2):451.[doi:10.3969/j.issn.1005-202X.2016.05.005]
[5]杜永兴,桑路路,秦岭,等.一种基于图像匹配的微波热疗方法[J].中国医学物理学杂志,2016,33(10):1026.[doi:10.3969/j.issn.1005-202X.2016.10.011]
 [J].Chinese Journal of Medical Physics,2016,33(2):1026.[doi:10.3969/j.issn.1005-202X.2016.10.011]
[6]朱翔宇,葛中芹,张冰清,等.基于图像处理的医学影像处理平台系统设计[J].中国医学物理学杂志,2017,34(4):388.[doi:DOI:10.3969/j.issn.1005-202X.2017.04.014]
[7]吴金风,张东. 高强度聚焦超声图像斑点解相关特性分析[J].中国医学物理学杂志,2017,34(6):590.[doi:DOI:10.3969/j.issn.1005-202X.2017.06.010]
 [J].Chinese Journal of Medical Physics,2017,34(2):590.[doi:DOI:10.3969/j.issn.1005-202X.2017.06.010]
[8]金京,孟雅丹,徐琦,等.二维分形维数在皮肤癌光学相干断层成像技术诊断中的应用[J].中国医学物理学杂志,2017,34(7):698.[doi:10.3969/j.issn.1005-202X.2017.07.010]
 [J].Chinese Journal of Medical Physics,2017,34(2):698.[doi:10.3969/j.issn.1005-202X.2017.07.010]
[9]王耿媛,赖官铨,段铮昱,等. 基于裂隙灯的眼微血管形态学参数分析在眼科疾病诊断的应用[J].中国医学物理学杂志,2018,35(3):323.[doi:DOI:10.3969/j.issn.1005-202X.2018.03.014]
 WANG Gengyuan,LAI Guanquan,DUAN Zhengyu,et al. Application of morphological parameters analysis of ophthalmic microvasculature based on slit lamp in the diagnosis of ophthalmic diseases[J].Chinese Journal of Medical Physics,2018,35(2):323.[doi:DOI:10.3969/j.issn.1005-202X.2018.03.014]
[10]王力,孟庆民,郭永新,等. 基于Hessian矩阵的DSA图像冠状动脉直径的测量[J].中国医学物理学杂志,2019,36(10):1182.[doi:DOI:10.3969/j.issn.1005-202X.2019.10.013]
 WANG Li,MENG Qingmin,GUO Yongxin,et al. Measurement of coronary artery diameter on DSA image based on Hessian matrix[J].Chinese Journal of Medical Physics,2019,36(2):1182.[doi:DOI:10.3969/j.issn.1005-202X.2019.10.013]

备注/Memo

备注/Memo:
【收稿日期】2019-09-12 【基金项目】国家重点研发计划973项目(2011CB707900) 【作者简介】惠钊,硕士,研究方向:图像处理,E-mail: huizhao_whu@163.com 【通信作者】黄慧明,博士,副教授,研究方向:图像处理,E-mail: huang- hm_whu@163.com
更新日期/Last Update: 2020-03-03