S变换在心肌声学造影图像降噪中的应用
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摘要
提出一种基于二维S变换的时频滤波方法。S变换融合了短时傅里叶变换和小波变换的优点,适合医学图像处理。该方法在局部频谱利用硬阈值去噪,可用于心肌声学造影图像降噪。降噪实验表明了该方法的有效性和临床应用价值。
This paper proposes a time-frequency filtering method based on S transform.S transform inherits the advantages of the wavelet transform and short time Fourier transform.It is suitable for medical image processing.This method uses hard threshold for de-noising in local spectrum, and can be used in image de-noising of the Myocardial Contrast Echocardiography(MCE).Experiment of de-noising demonstrates its validity and clinical application value.
This paper proposes a time-frequency filtering method based on S transform.S transform inherits the advantages of the wavelet transform and short time Fourier transform.It is suitable for medical image processing.This method uses hard threshold for de-noising in local spectrum, and can be used in image de-noising of the Myocardial Contrast Echocardiography(MCE).Experiment of de-noising demonstrates its validity and clinical application value.
引文
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[16]Yu Yongjian,Acton S T.Speckle Reducing Anisotropic Diffusion[J].IEEE Transactions on Image Processing,2002,11(11):1260-1270.
[17]张明强,孙丰荣,姚桂华,等.实时心肌声学造影定量分析系统的研制及临床应用[C]//中国电子学会第十一届青年学术年会.北京,中国:[出版者不详],2005:816-819.
[18]Wei Kan,Jayaweera A R,Firoozan S,et al.Quantification of Myocardial Blood Flow Using Ultrasound-induced Destruction of Microbubbles Administered as a Contrast Venous Infusion[J].Circulation,1998,97(5):473-483.
[2]Dash P K,Panigrahi B K,Panda G.Power Quality Analysis Using S Transform[J].IEEE Transactions on Power Delivery,2003,18(2):406-411.
[3]Chilukuri M V,Dash P K.Multi-resolution S Transform-based Fuzzy Recognition System for Power Quality Events[J].IEEE Transactions on Power Delivery,2004,19(1):323-330.
[4]Lee I W C,Dash P K.S Transform-based Intelligent System for Classification of Power Quality Disturbance Signals[J].IEEE Transactions on Industrial Electronics,2003,50(4):800-805.
[5]Varanini M,Paolis G,Emdin M,et al.Spectral Analysis of Cardiovascular Time Series by the S Transform[J].Computers in Cardiology,1997,24(3):383-386.
[6]Zhu Hongmei,Goodyear B G,Lauzon M L,et al.A New Local Multi-scale Fourier Analysis for Medical Imaging[J].Med.Physics,2003,30(6):1134-1141.
[7]Goodyear B G,Zhu Hongmei,Robert A B,et al.Removal of Phase Artifacts from Fmri Data Using a Stockwell Transform Filter Improves Brain Activity Detection[J].Magnetic Resonance in Medicine,2004,51(1):16-21.
[8]高静怀,陈文超,李幼铭,等.广义S变换与薄互层地震响应分析[J].地球物理学报,2003,46(4):526-532.
[9]占勇,程浩忠,丁屹峰,等.基于S变换的电能质量扰动支持向量机分类识别[J].中国电机工程学报,2005,25(4):51-56.
[10]刘兰锋,刘全新,雍学善,等.基于广义S变换的低频瞬时能量谱油气检测技术[J].天然气地球科学,2005,16(2):238-241.
[11]Su Cheol Kang,Seung Hong Hong.Design of Nonlinear Filter for Echocardio Graphic Images on Wavelet-based Method[C]//Proceedings of IEEE ICII’01.Beijing,China:[s.n.],2001:408-413.
[12]Su Cheol Kang,Seung Hong Hong.A Speckle Reduction Filter Using Wavelet-based Methods for Medical Imaging Applica-tion[J].Digital Signal Processing,2002,18(2):1169-1172.
[13]Zong Xuli,Laine A F,Geiser E A.Speckle Reduction and Contrast Enhancement of Echocardiograms via Multi-scale Nonlinear Processing[J].IEEE Transactions on Medical Imaging,2000,19(4):532-540.
[14]Yong Yue,Croitoru M M,Bidani A,et al.Ultrasonic Speckle Suppression Using Robust Nonlinear Wavelet Diffusion for LVVolume Quantification[C]//Proceedings of the26th Annual International EMBS Conference.[S.l.]:IEEE Press,2004:1609.
[15]Evans A N,Nixon M S.Biased Motion-adaptive Temporal Filtering for Speckle Reduction in Echocardiography[J].IEEE Transactions on Medical Imaging,1999,18(1):39-50.
[16]Yu Yongjian,Acton S T.Speckle Reducing Anisotropic Diffusion[J].IEEE Transactions on Image Processing,2002,11(11):1260-1270.
[17]张明强,孙丰荣,姚桂华,等.实时心肌声学造影定量分析系统的研制及临床应用[C]//中国电子学会第十一届青年学术年会.北京,中国:[出版者不详],2005:816-819.
[18]Wei Kan,Jayaweera A R,Firoozan S,et al.Quantification of Myocardial Blood Flow Using Ultrasound-induced Destruction of Microbubbles Administered as a Contrast Venous Infusion[J].Circulation,1998,97(5):473-483.
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