Noise filtering in ultrasound images using Gravitational Search Algorithm

Author

Rashedi, Esmat ; Zarezadeh, Aliakbar

Author_Institution

Dept. of Electr. Eng., Kerman Grad. Univ. of Technol., Kerman, Iran

fYear

2014

fDate

4-6 Feb. 2014

Firstpage

1

Lastpage

4

Abstract

Ultrasound Imaging plays a great role in the real-time medical imaging for the visualization and diagnostic purposes. Such a coherent imaging system is usually influenced by the presence of the speckle noise. Consequently, image denoising emerges as a fundamental trend to decline the effect of such interferences. 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.

Keywords

FIR filters; adaptive filters; biomedical ultrasonics; image denoising; mean square error methods; medical image processing; optimisation; search problems; speckle; ultrasonic imaging; 2D FIR filter; GSA; Gaussian filter; MSE; SNR; adaptive noise filtering method; diagnostic purpose; gravitational search algorithm; image denoising; interference; mean square error; median filter; medical imaging; optimization; signal to noise ratio; speckle noise filtering; ultrasound imaging; visualization purpose; Adaptive filters; Filtering algorithms; Finite impulse response filters; Signal to noise ratio; Speckle; Wiener filters; Gravitational search algorithm; Noise filtering; ultrasound image;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems (ICIS), 2014 Iranian Conference on

Conference_Location

Bam

Print_ISBN

978-1-4799-3350-1

Type

conf

DOI

10.1109/IranianCIS.2014.6802559

Filename

6802559