An Ultrasound-Based Computer-Aided Diagnosis Tool for Steatosis Detection

Author

Ribeiro, Ricardo T. ; Tato Marinho, R. ; Sanches, J.M.

Author_Institution

Inst. for Syst. & Robot., Lisbon, Portugal

Volume

18

Issue

4

fYear

2014

fDate

Jul-14

Firstpage

1397

Lastpage

1403

Abstract

Liver steatosis is a common disease usually associated with social and genetic factors. Early detection and quantification is important since it can evolve to cirrhosis. In this paper, a new computer-aided diagnosis (CAD) system for steatosis classification, in a local and global basis, is presented. A Bayes factor is computed from objective ultrasound textural features extracted from the liver parenchyma. The goal is to develop a CAD screening tool to help in the steatosis detection. Results showed an accuracy of 93.33%, with a sensitivity of 94.59% and specificity of 92.11%, using the Bayes classifier. The proposed CAD system is a suitable graphical display for steatosis classification.

Keywords

biomedical equipment; biomedical ultrasonics; diseases; feature extraction; liver; medical image processing; ultrasonic equipment; Bayes classifier; Bayes factor; CAD screening tool; cirrhosis; disease; genetic factors; graphical display; liver parenchyma; social factors; steatosis classification; steatosis detection; ultrasound textural feature extraction; ultrasound-based computer-aided diagnosis tool; Accuracy; Design automation; Feature extraction; Liver; Sensitivity; Speckle; Standards; Classification; computer-aided diagnosis (CAD); steatosis; textural features; ultrasound (US);

fLanguage

English

Journal_Title

Biomedical and Health Informatics, IEEE Journal of

Publisher

ieee

ISSN

2168-2194

Type

jour

DOI

10.1109/JBHI.2013.2284785

Filename

6623104