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    Abstract
2012 (Vol. 4, Issue: 24)
Article Information:

Despeckling of Medical Ultrasound Images of Kidney-Performance Evaluvation of Spatial Filters

S. Bama and D. Selvathi
Corresponding Author:  S. Bama 

Key words:  Filtering techniques, speckle noise, speckle reduction, ultrasound imaging, , ,
Vol. 4 , (24): 5443-5448
Submitted Accepted Published
March 18, 2012 April 20, 2012 December 15, 2012
Abstract:

Ultrasound imaging is a widely used medical diagnostic technique capable of producing real time images of soft tissues like kidney, liver, gallbladder, spleen etc. Speckle noise is an ubiquitous phenomena found in all coherent imaging modalities that degrades both the image quality and the visual interpretation of the acquired data. Several adaptive spatial domain filters have been documented to deal with this issue. The objective of this study is to identify an efficient and optimum despeckling filter in terms of quantitative metrics. In this scope, Frost, Lee, Kuan, Enhanced Lee and Frost, Wiener, Diffusion, Squeeze Box Filters (SBF) have been tested in detail on real time ultrasound kidney images. To assess the performance of filters, quantitative metrics such as Signal to Noise Ratio (SNR), Peak Signal to Noise Ratio (PSNR), Average Difference (AD), Mean Square Error (MSE), Root Mean Square Error (RMSE), Structural Content (SC), Universal Quality Index (UQI), Normalised Cross Correlation (NCC) and Structural Similarity (SSIM) have been calculated. Experimental results show that SBF and Anisotropic diffusion filters with little number of iteration outperform over the others in terms of speckle reduction.
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  Cite this Reference:
S. Bama and D. Selvathi, 2012. Despeckling of Medical Ultrasound Images of Kidney-Performance Evaluvation of Spatial Filters.  Research Journal of Applied Sciences, Engineering and Technology, 4(24): 5443-5448.
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ISSN (Online):  2040-7467
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