北京生物醫(yī)學(xué)工程

基于變分法的超聲圖像斑點噪聲自適應(yīng)濾波算法

An Adaptive Benoising Algorithm for Ultrasound Image Based on Variations

作者：張瓊沈民奮方若宇

單位：中國科學(xué)技術(shù)大學(xué)電子科學(xué)技術(shù)系 (安徽合肥230026)

關(guān)鍵詞：變分法；斑點噪聲去除；邊界保護和增強；歐拉彈性模型；自適應(yīng)變步長迭代

分類號：

出版年·卷·期（頁碼）：2011·30·3（253-258）

摘要：

各向異性擴散模型在去除超聲圖像斑點噪聲時不能有效保護圖像細節(jié),針對上述問題本文提出基于變分法的自適應(yīng)最小能量去噪模型。首先直接將由微分方程表示的各向異性擴散模型轉(zhuǎn)化為最小能量變分模型；然后引入歐拉彈性能量模型,在去除噪聲的同時有效地保護和增強圖像細節(jié)。同時為了解決數(shù)值求解過程中出現(xiàn)的迭代次數(shù)與迭代步長的矛盾，本文還提出迭代停止準則和自適應(yīng)變步長去噪算法。仿真和真實超聲圖像的實驗結(jié)果表明基于變分法的超聲圖像斑點噪聲自適應(yīng)濾波算法在去噪的同時能夠很好地保護細節(jié)信息，而且能有效地減少迭代次數(shù)。

In order to solve the problem that speckle reducing anisotropic diffusion model can not effectively preserve ultrasound image edges while filtering, an adaptive smallest energy denoising algorithm based on variations is proposed. First, a minimum-energy variation model is derived from anisotropic diffusion differential equation. And the Euler’s elastic energy model is introduced to enhance the ability of edge-preservation while filtering. Then in order to solve the conflict between iteration times and step sizes, an iteration-stopping criterion and an adaptive step-size iteration speckle removal scheme are proposed. To evaluate the proposed algorithm, both synthetically introduced speckle images and real medical ultrasound are used. The simulation results show that the proposed method not only preserves image details effectively while filtering, but also reduces the iteration times.

參考文獻：

［1］Vogt M, Ermert H. Limited-Angle spatial compound imaging of skin with high-frequency ultrasound ［C］. Ultrasounics Symposium, IEEE, IUS, 2007:240-243.
［2］Lavarello RJ, Sanchez JR, Oelze ML. Improving the quality of QUS imaging using full angular spatial compounding ［C］. IUS IEEE, 2008:32-35.
［3］Frost VS, Stiles JA, Shanmugan KS, et al. A model for radar images and its application to adaptive digital filtering of multiplicative noise ［J］. IEEE Trans Pattern Anal, 1982, 4(2):157-165.
［4］Lee JS. Improved Sigma Filter for Speckle Filtering of SAR Imagery ［J］. IEEE Tran On Geoscience and Remote Sensing, 2009, 47 (1): 202-213.
［5］Chang SG,Yu B,Vetterli M. Adaptive wavelet thresholding for image denoising and compression ［J］. IEEE Trans Med Imag, 2001, 20(8):772-783.
［6］閆肅,趙久奮,王順宏. 一種改進的相干斑點噪聲抑制算法［J］. 計算機仿真,2009,26(3):8-11.
［7］Perona P, Malik J. Scale-space and edge detection using anisotropic diffusion ［J］. IEEE Trans Pattern Anal Mach Intell, 1990, 12(7): 629-639.
［8］Yu YJ, Actons T. Speckle reducing anisotropic diffusion ［J］. IEEE Trans Image Proccess, 2002, 11(11): 1260-1270.
［9］Univ SKK,Sci S,Phys D, et al. Variational discretization of Euler’s Elastica problem ［J］. Journal of the Physical Society of Japan, 2006, 75 (6): 64007-1-64007-4.
［10］Wang Z, Bovik AC, Sheikh HR, et al. Image quality assessment: From error visibility to structural similarity ［J］. IEEE Trans Image Process, 2004,13(4):600-612.
［11］才輝,張光新，張浩，等. 一種新的機遇多信息測度融合的邊緣檢測方法［J］.浙江大學(xué)學(xué)報:工學(xué)版，2008，42(10): 1671-1675.
［12］Jensen JA. Field: A program for simulating ultrasound systems ［C］. Med Biol Eng Comp, 10th Nordic-Baltic Conference on Biomedical Imaging, 1996b, 4, Supplement 1, Part 1:351-353.

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