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A new measure of echogenicity of ultrasound images for liver classification

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3 Author(s)
Mandeep Singh ; Dept. of Electrical & Instr. Engg., Thapar University, Patiala, India ; Sukhwinder Singh ; Savita Gupta

This paper presents a new quantitative metric which can be used as indirect method for characterization of Liver Ultrasound images. This new metric is based upon the visual criterion considered by the radiologists using texture parameters of the Liver image and a measure of echogenicity. The proposed metric is a single parameter extracted from 7 texture features on the basis of Homogeneity, Roughness, Contrast, Granular-size and Orientation of the liver surface for classification into Fatty or Normal liver.

Published in:

Electrical and Computer Engineering (CCECE), 2011 24th Canadian Conference on

Date of Conference:

8-11 May 2011