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Liver Ultrasound Image Analysis using Enhancement Techniques

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Author(s): Smriti Sahu, Maheedhar Dubey, Mohammad Imroze Khan

Journal: International Journal of Advanced Computer Research
ISSN 2249-7277

Volume: 2;
Issue: 6;
Start page: 125;
Date: 2012;
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Keywords: Liver disease | Ultrasound image | Image enhancement | Filtering | Histogram Equalization

ABSTRACT
Liver cancer is the sixth most common malignanttumour and the third most common cause ofcancer-related deaths worldwide. Chronic Liverdamage affects up to 20% of our population. It hasmany causes - viral infections (Hepatitis B and C),toxins, genetic, metabolic and autoimmune diseases.The rate of liver cancer in Australia has increasedfour-fold in the past 20 years. For detection andqualitative diagnosis of liver diseases, Ultrasound(US) image is an easy-to-use and minimally invasiveimaging modality. Medical images are oftendeteriorated by noise due to various sources ofinterferences and other phenomena known asSpeckle noise. Therefore it is required to apply somedigital image processing techniques for smoothingor suppression of speckle noise in ultrasoundimages. This paper attempts to undertake the studythree types of the image enhancement techniquesincluding, Shock Filter, Contrast Limited AdaptiveHistogram Equalization (CLAHE) and Spatialfilter. These smoothing techniques are comparedusing performance matrices Peak Signal to NoiseRatio (PSNR) and Mean Square Error (MSE). Ithas been observed that the Spatial high pass filtergives the better performance than others for liverultrasound image analysis.
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