This paper presents a novel parametric thresholding procedure to reduce the effect of speckle noise in ultrasound (US) medical images. The method comprises the use of an adaptive data-driven exponential operator that operates on wavelet coefficients of the US image to suppress undesired effects of disturbances, preserving signal details. The obtained results demonstrate that the proposed denoising method increases the medical image quality and, therefore, it can be a useful tool in medical diagnosis.

A Suitable Threshold for Speckle Reduction in Ultrasound Images

ANDRIA, Gregorio;ATTIVISSIMO, Filippo;LANZOLLA, Anna Maria Lucia;SAVINO, Mario
2013-01-01

Abstract

This paper presents a novel parametric thresholding procedure to reduce the effect of speckle noise in ultrasound (US) medical images. The method comprises the use of an adaptive data-driven exponential operator that operates on wavelet coefficients of the US image to suppress undesired effects of disturbances, preserving signal details. The obtained results demonstrate that the proposed denoising method increases the medical image quality and, therefore, it can be a useful tool in medical diagnosis.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/52322
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