| 基于期望最大化框架的医学超声图像去斑 |
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| 引用本文： | 侯涛,汪源源,郭翌.基于期望最大化框架的医学超声图像去斑[J].声学学报,2011,36(1):73-80. |
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| 作者姓名： | 侯涛 汪源源 郭翌 |
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| 作者单位： | 复旦大学电子工程系,上海,200433 |
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| 基金项目： | 国家重点基础研究规划基金(2006CB705707); 国家自然科学基金(10974035); 上海市优秀学科带头人计划(10XD1400600)资助项目 |
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| 摘 要： | 针对医学超声图像斑点噪声,提出一种基于期望最大化(EM)框架的去斑算法.先从超声I/Q图像中提取实部;然后从该实部图像中"盲估计"出系统的点扩散函数;最后利用EM算法,在维纳滤波和各向异性扩散间进行迭代,从而获得去斑后的超声图像.对不同信噪比的仿真图像和实际图像采用本文方法和现有方法进行比较实验,结果表明,采用本文方法...
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| 关 键 词： | 反射率 维纳滤波 相关性 算法 各向异性扩散 医学超声图像 中值滤波 去斑点噪声 期望最大化 均值滤波 |
Despeckling medical ultrasound images based on an expectation maximization framework |
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| HOU Tao,WANG Yuanyuan,GUO Yi.Despeckling medical ultrasound images based on an expectation maximization framework[J].Acta Acustica,2011,36(1):73-80. |
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| Authors: | HOU Tao WANG Yuanyuan GUO Yi |
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| Institution: | HOU Tao WANG Yuanyuan GUO Yi (Department of Electronic Engineering,Fudan University Shanghai 200433) |
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| Abstract: | In view of inherent speckle noise in medical images,a de-speckling method was proposed based on an expectation maximization(EM) framework.Firstly,the real part was extracted from the Inphase/Quadrature(I/Q) ultrasound image.Then,the point spread function was blindly estimated from the real image.Lastly,based on the EM framework,an iterative algorithm alternating between Wiener filtering and anisotropic diffusion was exploited to produce de-speckled images.The comparison experiment was carried out on both si... |
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