• DocumentCode
    2461240
  • Title

    Patient specific cardiovascular risk assessment and treatment decision support based on multiscale modelling and medical guidelines

  • Author

    Exarchos, Themis P. ; Goletsis, Yorgos ; Stefanou, Kostas ; Fotiou, Evaggelos ; Fotiadis, Dimitrios I. ; Parodi, Oberdan

  • Author_Institution
    Foundation for Research and Technology Hellas, Biomedical Research Institute, University of Ioannina, Ioannina, GR 45110, Greece
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    838
  • Lastpage
    841
  • Abstract
    In this work we present an enhanced medical workflow and a decision support system for atherosclerotic risk assessment and treatment, that is based both on existing medical guidelines and on patient specific multiscale data. The medical expert that uses the system is able to apply both existing medical guidelines as well as to take into account additional information for the patient by inspecting the 3D geometry of an arterial segment or the arterial tree, model the blood flow in the patient specific arterial model and predict the progression of the plaque. Moreover, the user is able to apply plaque characterization techniques in Intravascular Ultrasound images (IVUS) and Tomography Images (CT). The combination of the medical guidelines with the patient specific multiscale data provides a detailed view in the patient status for risk assessment and treatment suggestion.
  • Keywords
    Data mining; Decision support systems; Design automation; Guidelines; Medical diagnostic imaging; Solid modeling; Atherosclerosis; Computer Simulation; Decision Support Systems, Clinical; Humans; Models, Cardiovascular; Practice Guidelines as Topic; Prevalence; Proportional Hazards Models; Risk Assessment; Risk Factors; United States;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6089867
  • Filename
    6089867