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Visualization of coronary arteries with virtual contrast injection

The aim of the project is to develop techniques that present the coronary arteries in CTA and MRA images in a format familiar for clinicians used to catheter angiography.

  • Principal Investigator:
    Örjan Smedby
  • Main Supervisor:
    Örjan Smedby
  • Medical Area:
    Cardiovascular System
  • Technical Area:
    Segmentation, Classification and Quantification
    Visualization and Image Enhancement
  • Modality:
    X-ray Computed Tomography
  • Medical Activity:
    Research
  • Technical Activity:
    Development
  • Grants:
    1200 kSEK
  • Financial Body:
    Hjärtlungfonden
  • Financial Support:
  • Man Months:
    48
  • Project Duration:
    2004/01/01 - 2011/06/30
  • Staff:
  •   Project manager, supervisor   IMH Radiology
    Anders Persson , Med dr
        IMH Radiology
    Anders Jönsson
        IMH Cardiology
      doctoral student   IMH Radiology
    Hans Frimmel
      co-supervisor   IT-inst, Uppsala Univ.
  • Former Staff:
  • Project Description:
  • A technique called virtual contrast injection, based on the concept of fuzzy connectedness (greyscale connectedness), has been developed to separate arteries and veins in Magnetic resonance angiography (MRA). In this project we apply the same technique to the problem of visualizing coronary arteries in Computed tomography angiography (CTA) and MRA images of the heart where all blood-filled cavities are bright. After separation of the relevant vessels, these can be presented with simple renderings techniques such as Maximum intensity projection (MIP), resulting in images similar to those obtained after invasive catheterization of the coronaries. Contrary to the invasive technique, new projections may be generated after the examination has been finished. The algorithm has been implemented in a plug-in module to the open-source software Osirix, and is freely distributed to users for academic use.

Give us new eyes

Your generosity can change lives for ever. Perhaps even yours. To contribute to our progress, please contact:
Anders Persson
Phone: +46 (0)10 - 103 8906
E-mail: anders.persson@cmiv.liu.se

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Copy of 22.jpg :
Examples of CT scans.
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