Coupled PDE in pyramid domain for despeckling of B-scan images

In this paper, we propose an efficient noise reduction method that can be used to reduce speckle and jointly enhancing the edge information, rather than just inhibiting smoothing. In this method speckle is removed by filtering of band pass ultrasound images in Laplacian pyramid domain by using coupled PDE based nonlinear diffusion. In each pyramid layer, a gradient threshold is estimated automatically using robust median estimator. The mean absolute error (MAE) between two adjacent diffusion steps is used as stopping criterion. Quantitative results on synthetic data and simulated phantom show the performance of the proposed method compared to state of the art methods. Results on real images demonstrate that the proposed method is able to preserve edges & structural details of the image.

[1]  Jaakko Astola,et al.  Block-median pyramidal transform: analysis and denoising applications , 2001, IEEE Trans. Signal Process..

[2]  Xiaorong Gao,et al.  A novel multiscale nonlinear thresholding method for ultrasonic speckle suppressing , 1999, IEEE Transactions on Medical Imaging.

[3]  Aleksandra Pizurica,et al.  A versatile wavelet domain noise filtration technique for medical imaging , 2003, IEEE Transactions on Medical Imaging.

[4]  Yasser M. Kadah,et al.  Real-time speckle reduction and coherence enhancement in ultrasound imaging via nonlinear anisotropic diffusion , 2002, IEEE Transactions on Biomedical Engineering.

[5]  M. Omair Ahmad,et al.  Spatially adaptive thresholding in wavelet domain for despeckling of ultrasound images , 2009, IET Image Process..

[6]  Mostafa Kaveh,et al.  Fourth-order partial differential equations for noise removal , 2000, IEEE Trans. Image Process..

[7]  Andrew F. Laine,et al.  Speckle reduction and contrast enhancement of echocardiograms via multiscale nonlinear processing , 1998, IEEE Transactions on Medical Imaging.

[8]  Alin Achim,et al.  Novel Bayesian multiscale method for speckle removal in medical ultrasound images , 2001, IEEE Transactions on Medical Imaging.

[9]  Jitendra Malik,et al.  Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  A. Tannenbaum,et al.  Despeckling of medical ultrasound images , 2006, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[11]  Yan Chen,et al.  Aggressive region growing for speckle reduction in ultrasound images , 2003, Pattern Recognit. Lett..

[12]  Pai-Chi Li,et al.  Strain compounding: a new approach for speckle reduction , 2002, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[13]  Scott T. Acton,et al.  Speckle reducing anisotropic diffusion , 2002, IEEE Trans. Image Process..

[14]  Pierrick Coupé,et al.  Nonlocal Means-Based Speckle Filtering for Ultrasound Images , 2009, IEEE Transactions on Image Processing.

[15]  D.C. Liu,et al.  Semi-implicit scheme based nonlinear diffusion method in ultrasound speckle reduction , 2008, 2008 IEEE Ultrasonics Symposium.