Speckle reduction in ultrasound images using an improved conductance function based on Anisotropic Diffusion

Pre-processing of breast ultrasound images is a necessary pre-requisite for development of computer-aided detection (CADe) techniques for breast cancer. This requires effective suppression of speckle content prior to the application of any enhancement algorithm. This paper presents an approach to modify the diffusion coefficient of existing Anisotropic Diffusion (AD) filter. The proposed approach requires incorporation of hyperbolic tangent as a conductance function in the diffusion coefficient. This aids in effective filtering of speckle along with preservation of textural content. Promising values of performance parameters advocate the efficiency of the proposed speckle reduction approach.

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

[2]  Ming-Ni Wu,et al.  Ultrasound Speckle Image Process Using Wiener Pseudo-inverse Filtering , 2007, IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society.

[3]  Vikrant Bhateja,et al.  A Polynomial filtering model for enhancement of mammogram lesions , 2013, 2013 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

[4]  J. Saniie,et al.  Analysis of homomorphic processing for ultrasonic grain signal characterization , 1989, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[5]  Vikrant Bhateja,et al.  An Improved Algorithm for Noise Suppression and Baseline Correction of ECG Signals , 2013 .

[6]  Vikrant Bhateja,et al.  Combination of Wavelet Transform and Morphological Filtering for Enhancement of Magnetic Resonance Images , 2011, ICDIPC.

[7]  J. Goodman Some fundamental properties of speckle , 1976 .

[8]  A. K. Mishra,et al.  Non-linear quality evaluation index for mammograms , 2013, 2013 Students Conference on Engineering and Systems (SCES).

[9]  Vikrant Bhateja,et al.  A New Contrast Measurement Index Based on Logarithmic Image Processing Model , 2013 .

[10]  Vikrant Bhateja,et al.  Contrast Improvement of Mammographic Masses Using Adaptive Volterra Filter , 2013 .

[11]  Vikrant Bhateja,et al.  A reduced reference distortion estimation measure for color images , 2014, 2014 International Conference on Signal Processing and Integrated Networks (SPIN).

[12]  V. Bhateja,et al.  A full-reference image quality metric for objective evaluation in spatial domain , 2011, 2011 International Conference on Communication and Industrial Application.

[13]  Vikrant Bhateja,et al.  Entropy Index in Quantitative EEG Measurement for Diagnosis Accuracy , 2014, IEEE Transactions on Instrumentation and Measurement.

[14]  Vikrant Bhateja,et al.  An Improved Local Statistics Filter for Denoising of SAR Images , 2013, ISI.

[15]  Vikrant Bhateja,et al.  A New Unsharp Masking Algorithm for Mammography Using Non-linear Enhancement Function , 2012 .

[16]  Vikrant Bhateja,et al.  A versatile denoising method for images contaminated with Gaussian noise , 2012, CUBE.

[17]  Vikrant Bhateja,et al.  Multiple distortion pooling image quality assessment , 2013 .

[18]  Vikrant Bhateja,et al.  A Novel HVS Based Image Contrast Measurement Index , 2013 .

[19]  Vikrant Bhateja,et al.  A Modified Speckle Suppression Algorithm for Breast Ultrasound Images Using Directional Filters , 2014 .

[20]  Vikrant Bhateja,et al.  Despeckling of ultrasound images using non-linear conductance function , 2014, 2014 International Conference on Signal Processing and Integrated Networks (SPIN).

[21]  Vikrant Bhateja,et al.  A novel framework for edge detection of microcalcifications using a non-linear enhancement operator and morphological filter , 2011, 2011 3rd International Conference on Electronics Computer Technology.

[22]  Vikrant Bhateja,et al.  An improved Directional Weighted Median Filter for restoration of images corrupted with high density impulse noise , 2014, 2014 International Conference on Reliability Optimization and Information Technology (ICROIT).

[23]  Torbjørn Eltoft,et al.  Homomorphic wavelet-based statistical despeckling of SAR images , 2004, IEEE Transactions on Geoscience and Remote Sensing.

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

[25]  Vikrant Bhateja,et al.  A log-ratio based unsharp masking (UM) approach for enhancement of digital mammograms , 2012, CUBE.

[26]  Qiang Chen,et al.  Ramp preserving Perona-Malik model , 2010, Signal Process..

[27]  Prateek Gupta,et al.  A Novel Full Reference Image Quality Index for Color Images , 2012 .

[28]  V. Bhateja,et al.  A no-reference contrast assessment index based on foreground and background , 2013, 2013 Students Conference on Engineering and Systems (SCES).

[29]  Vikrant Bhateja,et al.  A Robust Polynomial Filtering Framework for Mammographic Image Enhancement From Biomedical Sensors , 2013, IEEE Sensors Journal.

[30]  Vikrant Bhateja,et al.  A HVS based Perceptual Quality Estimation Measure for Color Images , 2012 .

[31]  Vikrant Bhateja,et al.  A Composite Wavelets and Morphology Approach for ECG Noise Filtering , 2013, PReMI.

[32]  Vikrant Bhateja,et al.  Despeckling of SAR Images via an Improved Anisotropic Diffusion Algorithm , 2013 .

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

[34]  V. Bhateja,et al.  A novel detection and removal scheme for denoising images corrupted with Gaussian outliers , 2012, 2012 Students Conference on Engineering and Systems.

[35]  Seung Hong Hong,et al.  A speckle reduction filter using wavelet-based methods for medical imaging application , 2002, 2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628).

[36]  Vikrant Bhateja,et al.  Mutidimensional analysis of EEG features using advanced spectral estimates for diagnosis accuracy , 2013, 2013 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

[37]  Vikrant Bhateja,et al.  An Evaluation of Edge Detection Algorithms for Mammographic Calcifications , 2013 .

[38]  Vikrant Bhateja,et al.  Reduced reference IQA based on structural dissimilarity , 2014, 2014 International Conference on Signal Processing and Integrated Networks (SPIN).

[39]  Vikrant Bhateja,et al.  A novel approach for suppression of powerline interference and impulse noise in ECG signals , 2013, IMPACT-2013.

[40]  B. C. Penney,et al.  Two-dimensional filtering of SPECT images using the Metz and Wiener filters. , 1984, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[41]  Prateek Gupta,et al.  A modified PSNR metric based on HVS for quality assessment of color images , 2011, 2011 International Conference on Communication and Industrial Application.

[42]  Alexander A. Sawchuk,et al.  Adaptive Restoration Of Images With Speckle , 1983, Optics & Photonics.

[43]  Vikrant Bhateja,et al.  Computer Aided Detection of Brain Tumor in Magnetic Resonance Images , 2011 .

[44]  V. Bhateja,et al.  A noise robust edge detector for color images using Hilbert Transform , 2013, 2013 3rd IEEE International Advance Computing Conference (IACC).

[45]  V. Bhateja,et al.  A no-reference image quality index for contrast and Sharpness measurement , 2013, 2013 3rd IEEE International Advance Computing Conference (IACC).

[46]  A. Tripathi,et al.  Despeckling of SAR images in contourlet domain using a new adaptive thresholding , 2013, 2013 3rd IEEE International Advance Computing Conference (IACC).

[47]  R. F. Wagner,et al.  Statistics of Speckle in Ultrasound B-Scans , 1983, IEEE Transactions on Sonics and Ultrasonics.

[48]  A. Lay-Ekuakille,et al.  Improvement of masses detection in digital mammograms employing non-linear filtering , 2013, 2013 International Mutli-Conference on Automation, Computing, Communication, Control and Compressed Sensing (iMac4s).

[49]  Vikrant Bhateja,et al.  A robust approach for denoising and enhancement of mammographic images contaminated with high density impulse noise , 2013 .

[50]  Vikrant Bhateja,et al.  A new model for performance evaluation of denoising algorithms based on image quality assessment , 2012, CUBE.

[51]  Vikrant Bhateja,et al.  A Non-Linear Approach to ECG Signal Processing using Morphological Filters , 2013, Int. J. Meas. Technol. Instrum. Eng..

[52]  Vikrant Bhateja,et al.  A comparative evaluation of various de-speckling algorithms for medical images , 2012, CUBE.

[53]  Vikrant Bhateja,et al.  Spatial filtering to detect brain sources from EEG measurements , 2014, 2014 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

[54]  Vikrant Bhateja,et al.  Mammographic Image Enhancement using Double Sigmoid Transformation Function , 2010, ICCA 2010.

[55]  Alexander A. Sawchuk,et al.  Adaptive Noise Smoothing Filter for Images with Signal-Dependent Noise , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[56]  Vikrant Bhateja,et al.  Directional order statistics filtering for suppression of salt and pepper noise , 2014, 2014 International Conference on Signal Processing and Integrated Networks (SPIN).

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

[58]  Vikrant Bhateja,et al.  An improved non-linear transformation function for enhancement of mammographic breast masses , 2011, 2011 3rd International Conference on Electronics Computer Technology.

[59]  Vikrant Bhateja,et al.  Identification of Visual Evoked Potentials in EEG detection by emprical mode decomposition , 2014, 2014 IEEE 11th International Multi-Conference on Systems, Signals & Devices (SSD14).

[60]  Vikrant Bhateja,et al.  Design of New Volterra Filter for Mammogram Enhancement , 2013 .

[61]  A. Pandey,et al.  Volterra Filter design for edge enhancement of mammogram lesions , 2013, 2013 3rd IEEE International Advance Computing Conference (IACC).

[62]  Vikrant Bhateja,et al.  A non-iterative adaptive median filter for image denoising , 2014, 2014 International Conference on Signal Processing and Integrated Networks (SPIN).

[63]  Vikrant Bhateja,et al.  A novel image denoising algorithm for suppressing mixture of speckle and impulse noise in spatial domain , 2011, 2011 3rd International Conference on Electronics Computer Technology.

[64]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[65]  Ali Shamsoddini,et al.  IMAGE TEXTURE PRESERVATION IN SPECKLE NOISE SUPPRESSION , 2010 .

[66]  Vikrant Bhateja,et al.  Fast SSIM Index for Color Images Employing Reduced-Reference Evaluation , 2013, FICTA.

[67]  Vikrant Bhateja,et al.  A Novel Weighted Diffusion Filtering Approach for Speckle Suppression in Ultrasound Images , 2013, FICTA.

[68]  Marios S. Pattichis,et al.  De-speckle filtering in ultrasound imaging of the carotid artery , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[69]  Vikrant Bhateja,et al.  Combination of Wavelet Analysis and Non-Linear Enhancement Function for Computer Aided Detection of Microcalcifications , 2010 .