IVUS image processing and semantic analysis for cardiovascular diseases risk prediction

Charalampos Doulaverakis, Maria Papadogiorgaki, Vasileios Mezaris, Antonis Billis, Eirini Parissi, Ioannis Kompatsiaris, Anastasios Gounaris, Yiannis S. Chatzizisis, George D. Giannoglou

Research output: Contribution to journalArticle

6 Scopus citations


The work presented in this paper is part of a system able to perform risk classification of patients based on medical image analysis and on the semantically structured information of patient data from medical records and biochemical data. More specifically, the paper focuses on Intravascular Ultrasound (IVUS) image processing and the automated segmentation developed to extract the useful arterial boundaries. This is coupled with the design and implementation of a semantic reasoning-enabled knowledge base in OWL that integrates data from heterogeneous sources and incorporates functionality for DL classification. Performance evaluation of both IVUS image processing and knowledge base is discussed.

Original languageEnglish (US)
Pages (from-to)349-374
Number of pages26
JournalInternational Journal of Biomedical Engineering and Technology
Issue number3-4
StatePublished - Apr 1 2010



  • IVUS image processing
  • OWL
  • RBF
  • Radial basis function
  • Risk prediction
  • SWRL
  • Semantic analysis

ASJC Scopus subject areas

  • Biomedical Engineering

Cite this

Doulaverakis, C., Papadogiorgaki, M., Mezaris, V., Billis, A., Parissi, E., Kompatsiaris, I., Gounaris, A., Chatzizisis, Y. S., & Giannoglou, G. D. (2010). IVUS image processing and semantic analysis for cardiovascular diseases risk prediction. International Journal of Biomedical Engineering and Technology, 3(3-4), 349-374. https://doi.org/10.1504/IJBET.2010.032700