Texture characteristics for classification of the ultrasonic images of rotator cuff diseases

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This article proposes a study on applied the texture analysis method to classify the different disease groups that are normal, tendon inflammation, calcific tendonitis and rotator cuff tear. The supraspinatus tendon is usually involved among above-mentioned diseases progression. Four texture analysis methods that texture feature coding method, gray-level cooccurrence matrix, fractal dimension and texture spectrum are used to extract features of tissue characteristic of supraspinatus tendon. The mutual information method is independently used to select powerful feature among four texture analysis method, further, the radial basis function network to classify the ones into the four disease group. Experimental results tested on 85 images reveal that the proposed system can achieves 84% accurate rate.

Original languageEnglish
Title of host publicationBioMedical Engineering and Informatics
Subtitle of host publicationNew Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
Pages258-262
Number of pages5
DOIs
Publication statusPublished - 2008
EventBioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008 - Sanya, Hainan, China
Duration: 2008 May 272008 May 30

Publication series

NameBioMedical Engineering and Informatics: New Development and the Future - Proceedings of the 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
Volume2

Conference

ConferenceBioMedical Engineering and Informatics: New Development and the Future - 1st International Conference on BioMedical Engineering and Informatics, BMEI 2008
Country/TerritoryChina
CitySanya, Hainan
Period08-05-2708-05-30

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Signal Processing
  • Biomedical Engineering

Fingerprint

Dive into the research topics of 'Texture characteristics for classification of the ultrasonic images of rotator cuff diseases'. Together they form a unique fingerprint.

Cite this