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基于分数阶非高斯模型的超声图像散粒噪声特性分析

ANALYSIS OF ULTRASONIC IMAGES SHOT NOISE IN FRACTIONAL ORDER NON-GAUSSIAN NOISE ENVIRONMENTS
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摘要 医学超声图像在应用中遇到的一个重要问题是如何消除图像中由于散射现象的相干本质而引起的多径乘性散粒噪声。稳定分布可以用来描述重拖尾非高斯尖峰脉冲信号和噪声。本文利用一种散粒噪声模型,通过分析与稳定分布建模,提出了一种基于稳定分布模型的超声图象散粒噪声建模的新方法。仿真结果表明,该建模方法能更好地描述乘性散粒噪声。 Ultrasonic images are generally affected by multiplicative speckle noises,which are due to the coherent nature of the scattering phenomenon.Speckle filtering is thus a critical pre-processing step in medical ultrasound imagery.This paper uses shot noise to model the speckle noise,analyzes and models the shot noise using alpha stable distribution.Consequently,the simulation results show that the proposed new method is more robust.
出处 《九江医学》 2008年第2期1-5,共5页 Jiujiang Medical Journal
基金 国家自然科学基金(分数低阶非高斯有色噪声的谱分析及频域相关应用研究 60772037) 江西省卫生厅计划项目资助课题(低阶非高斯噪声下的诱发电位的自适应少次或单次提取技术研究 20072048)
关键词 稳定分布 乘性散粒噪声 医学超声图像 stable distribution multiplicative shot noise medical ultrasound imagery
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参考文献10

  • 1[1]A K Jain.Fundamental of digital image processing[M].Englewood Cliffs,NJ:Prentice-Hall,1989.
  • 2孙俊喜,陈亚珠.一种具有边缘保持特性的超声图像小波域阈值去噪新方法[J].光学精密工程,2002,10(5):429-433. 被引量:14
  • 3[3]J W Goodman.Some fundamental properties of speckle[J].J.Opt.Soc.Amer.,1976,(66):1145
  • 4[4]J G Abbott and F L Thurstone.Acoustic speckle:Theory and experimental analysis[J],Ultrason.Imag.,1979,(1):303
  • 5[5]A Ioannidis,D Kazakos,and D D Watson.Application of median filtering on nuclear medicine scintigram images[C].in Proc.7th Int.Conf.Pattern Recognition,1984.33
  • 6[6]E R Ritenour,T R Nelson,and U Raff.Application of the median filter to digital radiographic images[C].in Proc.IEEE Int.Conf.Acoust.Speech,Signal Processing,1984.23.
  • 7[7]Kutay M A,Petropulu A P.Power-law shot noise model for the ultrasound RF echo[C].Acoustics,Speech,and Signal Processing,2000,6:3787
  • 8[8]Petropulu A P,Golas T,Vishwanathan G.Power-law shot noise and its application on modeling of ultrasound echoes,Time-Frequency and Time-Scale Analysis[C].Proceedings of the IEEE-SP International Symposium on,1998.193
  • 9[9]S B Lowen and M C Teich.Power-law shot noise.IEEE Trans.Inform.Theory,1990,36:1302
  • 10[10]I S Gradshteyn,I M Ryzhik,and A Jeffrey.Table of Integrals,Series and Products.New York:Academic,1994

二级参考文献8

  • 1[1]Zong X L, Laine A F, Geiser E A. Speckle reduction and contrast enhancement of echocardiograms via multiscale nonlinear processing, [J]. IEEE Trans. Med. Imag. 1998,17:532-540.
  • 2[2]Zong X, Geiser E A, Laine A F, et al. Homomorphic wavelet shrinkage and feature emphasis for speckle reduction and enhancement of echocardiographic images [J].SPIE, 1996, 2710:658-667.
  • 3[3]Xiang S H,Zhang Y T. Maximization of the signal-to-noise ratio for two dimensional medical ultrasound transducer sensitivity improvement by denoising wavelets[A].in Proc. Int. Conf. Biomedical Engineering[C] Hong Kong,1996.
  • 4[4]Zong X L, Laine A F,Geiser E A. Speckle reduction and contrast enhancement of echocardiograms via multiscale nonlinear processing[J]. IEEE Trans. Med. Imag. 1998, 17: 532-540.
  • 5[5]Asernaut H, April G. Properties of speckle integrated with a finite aperture and logarithmically transform[J]. J.Opt. Soc. Am,1976, 66:1160-1163.
  • 6[6]Coifman R R, Donoho D L. Translation-invariant de-noising[P]. In wavelests and statistics, Lecture Notes in Statistics 103, Eds. Berlin, Germany:Springer-verlag,1995.
  • 7[7]Donoho D L, Ohnstne I J. Adapting to unknown smoothness via wavelet shrinkage[J].Amer. Stat. Assoc. 1995.90:1200-1224.
  • 8[8]Jansen M, Malfait M,Bultheel A. Generalized cross validation forwavelet thresholding[J]. Signal Processing, January 1997,56(1):33-44.

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