Esmat Rashedi - Department of Electrical engineering Kerman Graduate university of Technology Kerman, Iran
Aliakbar Zarezadeh - Department of Hardware Development-PNET dSPACE GmbH Paderborn, Germany

Ultrasound Imaging plays a great role in the real-time medical imaging for the visualization and diagnostic purposes. Such a coherent imaging systemis usually influenced by thepresence of the speckle noise. Consequently, image denoising emerges as a fundamental trend to decline the effect of suchinterferences. This paper demonstrates an adaptive noise filtering method in ultrasound images. Gravitational Search Algorithm (GSA) is exploited for optimization of the filter coefficients of 2D FIR filters. The mean square error (MSE) and signal to noise ratio (SNR) metrics are used for assessment of the gained results.Based on the quantitative comparisons, the proposed approach outperforms the Gaussian, and median filters

Noise filtering; Gravitational search algorithm;ultrasound image