Classification of Diffuse Liver Diseases from Ultrasound Images based on Quantitative Coarse Echotexture

The ultrasonic image with typical cirrhosis behaves: Nodular liver surface , coarse echotexture, may be compared with the echo-texture of spleen, irregular narrowing outline of hepatic vein.Cirrhosis (established liver cirrhosis ) in order to take shape of three items of assessment factor is exclusive , and the highest in sensitivity with coarseness of echotexture.
My research propose Coarseness as new feature, prevent the machine from operating and establishing the question caused, and set up the method of examining coarseness of a kind of quantity.The two-dimentional discrete wavelet (2D-DWT) as the tool to decompose the ultrasonic image made by ultrasonic instrument, then rebuild the high-frequency image , and then by rebuilding all kinds of proportion of image particle [1248 ] and calculating texture energy with four Level high-frequency image convert into making characteristic value worthwhily of Coarseness the weighting, the degree of quantization coarse echotexture, and do the experiment to verify with the ultrasonic image of sponge of 3 kinds of different coarse degree, the effective one distinguishes cirrhosis and normal liver.