Enhancement of the ultrasound images by modified anisotropic diffusion method

Speckle is a primary factor which degrades the contrast resolution and masks the meaningful texture information present in an ultrasound image. Its presence severely hampers the interpretation and analysis of ultrasound images. When speckle reduction technique is applied for visual enhancement of ultrasound images, it is to be kept in mind that blurring associated with speckle reduction should be less and fine details are properly enhanced. With these points in consideration, the modified speckle reduction anisotropic diffusion (MSRAD) method is proposed in the present study to improve the visual quality of the ultrasound images. In the proposed MSRAD method, the four neighboring pixel template in speckle reduction anisotropic diffusion (SRAD) method of Yu and Acton (IEEE Trans Image Process 11:1260–1270, 2002) have been replaced by a new template of larger number of neighboring pixels to calculate the diffusion term. To enhance visual quality of ultrasound images, nonquadratic regularization (Yu and Yadegar, Proceedings of the IEEE international conference on image processing, 2006) is incorporated with MSRAD method and accordingly changes in parameter settings have been made. The performance of MSRAD method was evaluated using clinical ultrasound images, interpretation by the medical experts and results of MSRAD method by subjective and objective criteria.

[1]  Victor S. Frost,et al.  A Model for Radar Images and Its Application to Adaptive Digital Filtering of Multiplicative Noise , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  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.

[3]  Yasser M. Kadah,et al.  Real time adaptive ultrasound speckle reduction and coherence enhancement , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[4]  Joachim Weickert,et al.  A Review of Nonlinear Diffusion Filtering , 1997, Scale-Space.

[5]  J. Zwischenberger,et al.  Ultrasound Speckle Suppression and Edge Enhancement Using Multiscale Nonlinear Wavelet Diffusion , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.

[6]  Ahmed M. Badawi,et al.  Scatterer Density in Nonlinear Diffusion for Speckle Reduction in Ultrasound Imaging: The Isotropic Case , 2008 .

[7]  Scott T. Acton,et al.  Generalized speckle reducing anisotropic diffusion for ultrasound imagery , 2004, Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems.

[8]  Alexander A. Sawchuk,et al.  Adaptive restoration of images with speckle , 1987, IEEE Trans. Acoust. Speech Signal Process..

[9]  Jong-Sen Lee.  Speckle suppression and analysis for synthetic aperture radar images , 1986 .

[10]  Jong Beom Ra,et al.  Improvement of ultrasound image based on wavelet transform: speckle reduction and edge enhancement , 2005, SPIE Medical Imaging.

[11]  Fan Zhang,et al.  Multiscale Nonlinear Diffusion and Shock Filter for Ultrasound Image Enhancement , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[12]  S. Gupta,et al.  Wavelet-based statistical approach for speckle reduction in medical ultrasound images , 2003, Medical and Biological Engineering and Computing.

[13]  Göran Salomonsson,et al.  Image enhancement based on a nonlinear multiscale method , 1997, IEEE Trans. Image Process..

[14]  Toan Nguyen Dinh,et al.  An Anisotropic Diffusion Based on Diagonal Edges , 2007, The 9th International Conference on Advanced Communication Technology.

[15]  Fan Zhang,et al.  Nonlinear Diffusion in Laplacian Pyramid Domain for Ultrasonic Speckle Reduction , 2007, IEEE Transactions on Medical Imaging.

[16]  Guido Gerig,et al.  Nonlinear anisotropic filtering of MRI data , 1992, IEEE Trans. Medical Imaging.

[17]  Guillermo Sapiro,et al.  Robust anisotropic diffusion , 1998, IEEE Trans. Image Process..

[18]  Christine Fernandez-Maloigne,et al.  Bandelet-Based Anisotropic Diffusion , 2007, 2007 IEEE International Conference on Image Processing.

[19]  Nguyen Thanh Binh,et al.  OBJECT DETECTION OF SPECKLE IMAGE BASE ON CURVELET TRANSFORM , 2007 .

[20]  Scott T. Acton,et al.  Edge detection in ultrasound imagery using the instantaneous coefficient of variation , 2004, IEEE Transactions on Image Processing.

[21]  Pheng-Ann Heng,et al.  Boundary Enhancement and Speckle Reduction for Ultrasound Images via Salient Structure Extraction , 2006, IEEE Transactions on Biomedical Engineering.

[22]  Santiago Aja-Fernández,et al.  On the estimation of the coefficient of variation for anisotropic diffusion speckle filtering , 2006, IEEE Transactions on Image Processing.

[23]  A.M. Badawi,et al.  Speckle Reduction in Medical Ultrasound: A Novel Scatterer Density Weighted Nonlinear Diffusion Algorithm Implemented as a Neural-Network Filter , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[24]  Scott T. Acton.  Deconvolutional speckle reducing anisotropic diffusion , 2005, IEEE International Conference on Image Processing 2005.

[25]  F L Thurstone,et al.  Acoustic speckle: theory and experimental analysis. , 1979, Ultrasonic imaging.

[26]  D. R. K. Brownrigg,et al.  The weighted median filter , 1984, CACM.

[27]  Bo Wang,et al.  A Novel Edge Enhancement Method for Ultrasound Imaging , 2008, 2008 2nd International Conference on Bioinformatics and Biomedical Engineering.

[28]  John W. Clark,et al.  Nonlinear multiscale wavelet diffusion for speckle suppression and edge enhancement in ultrasound images , 2006, IEEE Transactions on Medical Imaging.

[29]  Joseph Yadegar,et al.  Regularized Speckle Reducing Anisotropic Diffusion for Feature Characterization , 2006, 2006 International Conference on Image Processing.

[30]  Hyo Sun Yoon,et al.  Anisotropic Diffusion Transform Based on Directions of Edges , 2008, 2008 IEEE 8th International Conference on Computer and Information Technology Workshops.

[31]  M. R. Kaimal,et al.  Image Denoising using Wavelet Embedded Anisotropic Diffusion (WEAD) , 2006 .

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

[33]  Steve McLaughlin,et al.  Comparative study of textural analysis techniques to characterise tissue from intravascular ultrasound , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[34]  Christos P. Loizou,et al.  Quality evaluation of ultrasound imaging in the carotid artery based on normalization and speckle reduction filtering , 2006, Proceedings of the 12th IEEE Mediterranean Electrotechnical Conference (IEEE Cat. No.04CH37521).

[35]  Gerlind Plonka-Hoch,et al.  Combined Curvelet Shrinkage and Nonlinear Anisotropic Diffusion , 2007, IEEE Transactions on Image Processing.

[36]  A. Bovik,et al.  A universal image quality index , 2002, IEEE Signal Processing Letters.

[37]  Purang Abolmaesumi,et al.  Speckle Noise Reduction of Medical Ultrasound Images in Complex Wavelet Domain Using Mixture Priors , 2008, IEEE Transactions on Biomedical Engineering.

[38]  Martin D. Fox,et al.  Speckle Reduction and Structure Enhancement by Multichannel Median Boosted Anisotropic Diffusion , 2004, EURASIP J. Adv. Signal Process..

[39]  Carl-Fredrik Westin,et al.  Oriented Speckle Reducing Anisotropic Diffusion , 2007, IEEE Transactions on Image Processing.

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

[41]  Ke-ou Song,et al.  Speckle supression for medical ultrasound images based on modelling speckle with Rayleigh distribution in contourlet domain , 2008, 2008 International Conference on Wavelet Analysis and Pattern Recognition.

[42]  R. S. Anand,et al.  Image quality based comparative evaluation of wavelet filters in ultrasound speckle reduction , 2005, Digit. Signal Process..

[43]  Ali Samir Saad.  Speckle Reduction of Ultrasound Images Using Wavelets Analysis , .

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

[45]  Hadj Batatia,et al.  A robust speckle reducing anisotropic diffusion , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..