Speckle reduction of ultrasound images with anisotropic diffusion based on homogeneous region automatic selection

WU Jun; WANG Yuan-yuan; CHEN Yue; YU Jin-hua; PANG Yun

doi:10.3788/OPE.20142205.1312

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Speckle reduction of ultrasound images with anisotropic diffusion based on homogeneous region automatic selection

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- Speckle reduction of ultrasound images with anisotropic diffusion based on homogeneous region automatic selection
- Optics and Precision Engineering Vol. 22, Issue 5, Pages: 1312-1321(2014)
- 作者机构：
  
  1. 复旦大学电子工程系上海,200433
  2. 云南大学电子工程系,云南昆明,650091
  3. 复旦大学附属华东医院超声科上海,200040
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20142205.1312
  CLC： R319;TP391.4
- Received：30 August 2013，
  
  Revised：15 October 2013，
  
  Published：25 May 2014
- 稿件说明：
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吴俊, 汪源源, 陈悦等. 基于同质区域自动选取的各向异性扩散超声图像去噪[J]. 光学精密工程, 2014,22(5): 1312-1321

WU Jun, WANG Yuan-yuan, CHEN Yue etc. Speckle reduction of ultrasound images with anisotropic diffusion based on homogeneous region automatic selection[J]. Editorial Office of Optics and Precision Engineering, 2014,22(5): 1312-1321
吴俊, 汪源源, 陈悦等. 基于同质区域自动选取的各向异性扩散超声图像去噪[J]. 光学精密工程, 2014,22(5): 1312-1321 DOI： 10.3788/OPE.20142205.1312.

WU Jun, WANG Yuan-yuan, CHEN Yue etc. Speckle reduction of ultrasound images with anisotropic diffusion based on homogeneous region automatic selection[J]. Editorial Office of Optics and Precision Engineering, 2014,22(5): 1312-1321 DOI： 10.3788/OPE.20142205.1312.

摘要

提出一种自适应选取各向异性扩散滤波器扩散参数的方法，以提高滤波器的有效性和稳定性。首先，使用最大类间方差二值化算法确定超声图像的最优二值化阈值，并将该阈值作为区域均匀性标准对超声图像进行四叉树分解。然后，按从大到小的顺序从分解结果中取出所有当前最大分块，根据最优同质区域分块判决依据进行优选。最后，使用最优同质区域选取结果计算扩散参数，对超声图像进行各向异性扩散滤波。结果表明，本方法优于斑点降噪各向异性扩散（SRAD）和细节保留各向异性扩散（DPAD）两种典型的自动选取扩散参数方法，能在显著减少运算时间的同时使平均图像佳数较前两种方法分别提高0.029和0.129。本方法避免了对人工同质区域选取的依赖，可准确计算扩散参数，在噪声消除和边缘保护上达到有效的平衡，是一种有效的超声图像降噪方法。

Abstract

An adaptive selection method of diffusion threshold was proposed to improve the effectiveness and stability of a filter in speckle reduction of ultrasound images.An optimal threshold of the ultrasound image was determined by the Otsu binarization algorithm.Then

the ultrasound image was divided into blocks by Quad tree decomposition using the optimal threshold as the criterion of homogeneity.In descending order of the size

the present maximal blocks were picked up from the Quad tree decomposition result

and an optimal homogeneous region of the ultrasound image was selected by the proposed selection criteria.Finally

the diffusion threshold was obtained by analyzing statistical features of the optimal homogeneous region

and the ultrasound image was filtered using this diffusion threshold.The results demonstrate that the proposed method has better performance comparing with the Speckle Reducing Anisotropic Diffusion (SRAD)method and the Detail Preserving Anisotropic Diffusion (DPAD) method.It reduces the operation time effectively

and the average figure-of-merit by using the proposed method is 0.029

0.129 higher than those by using other two mentioned methods.The proposed method avoids the manual selection of homogeneous area and can estimate the diffusion threshold accurately

which can reduce the speckles effectively while preserving the edges.

关键词

Keywords

references

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