Volume 4 Number 4 (Aug. 2012)
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IJCEE 2012 Vol.4(4): 605-607 ISSN: 1793-8163 DOI: 10.7763/IJCEE.2012.V4.567

A New Quantitative Metric for Liver Classification from Ultrasound Images

Mandeep Singh, S. Singh, and S. Gupta
Abstract—This paper presents a new quantitative metric which can be used as indirect method for characterization of liver from ultrasound images. This new metric is inspired from the visual criterion considered by the radiologists through texture and echogenicity of the Liver in ultrasound image. The proposed metric is a single parameter extracted from 6 texture features on the basis of Homogeneity, Roughness, Contrast, Granularity and Orientation of the liver surface for classification into Fatty or Normal liver. The main contribution of the present work is that the best texture features are selected on the basis of Fisher’s linear discriminative analysis and then formulated into a single metric by considering their weightage similar to the visual criterion used for liver classification.

Index Terms—Echogenicity, liver classification, steatosis, texture analysis.

Mandeep Singh is with the Thapar University, Patiala India (e-mail: mdsingh@ thapar.edu).
Sukhwinder Singhis Professor and Head at CSED, UIET, Panjab University, and Chandigarh, India (e-mail: sukhdalip@yahoo.com).
S Gupta is Professor CSED, UIET, Panjab University, and Chandigarh, INDIA (e-mail: savita2k8@yahoo.com).

Cite: Mandeep Singh, S. Singh, and S. Gupta, "A New Quantitative Metric for Liver Classification from Ultrasound Images," International Journal of Computer and Electrical Engineering vol. 4, no. 4, pp. 605-607, 2012.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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