Filtering technique in ultrasound for kidney, liver and pancreas image using Matlab

Ultrasound is a well-known medical imaging modality on its ability to visualize kidney, liver and pancreas accurately. However, speckle noise, caused by constructive and destructive interferences of the wavelets will disturb the image of the organs. The main goal of this paper is to identify the most suitable and reasonable filtering technique for each organ. 50 ultrasound images for each organ- kidney, liver and pancreas are taken using Toshiba Nemio 10 ultrasound machine with 3.75 MHz PVM-375AT transducer. The images are cropped into specific sizes before converted into grayscale image. Each of the images then filtered using median filter, Wiener filter, 2-D order-statistic filter, N-D filter, and Entropy filter. Performance of each filter are analysed with MSE and PSNR. The results show that Median filter is the most suitable filter for kidney and pancreas while Wiener filter is the most effective filter in removing noise for liver.

I. Introduction

Speckle noise, also known as granular noise often exists in ultrasound images results in increasing of mean gray level of a local area[1]. Consequently, the image is difficult to interpret and analysed. It is impossible to get rid of noise in electrical system but we can reduce the effect of noise.