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Segmentation of finger joint synovitis in ultrasound images

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

The arthritis disease may result from the long-lasting inflammation of the joint. The medical diagnosis assumes visual inspection of the joint ultrasonographic (USG) image, before any medical treatment takes place. Nowadays, the annotation of USG data is prepared manually by an expert physician, which is time-consuming and tiresome work. Therefore, in this work a system for automatic joint synovitis region detection for USG images of finger joints is introduced. The system enables accurate localization of skin border, detection of bones regions, calculation of joint center coordinates. All these information are indispensable for the procedure of automatic finger joint synovitis area localization. The accuracy of specific region detection was verified by comparison with manual annotations and proved high correlation, giving satisfactory result.

Original languageEnglish
Title of host publication2016 IEEE 6th International Conference on Communications and Electronics, IEEE ICCE 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages335-340
Number of pages6
ISBN (Electronic)9781509019311
DOIs
Publication statusPublished - 7 Sept 2016
Event6th IEEE International Conference on Communications and Electronics, IEEE ICCE 2016 - Ha Long, Viet Nam
Duration: 27 Jul 201629 Jul 2016

Publication series

Name2016 IEEE 6th International Conference on Communications and Electronics, IEEE ICCE 2016

Conference

Conference6th IEEE International Conference on Communications and Electronics, IEEE ICCE 2016
Country/TerritoryViet Nam
CityHa Long
Period27/07/1629/07/16

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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