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  Visualization of the Cadiovascular System  
    Executive summary  
   
   

The cardiac morphology in patients with congenital heart disease is often very complex and variable from individual to individual. Consequently, accurate morphological information remains of outmost importance when planning the surgical intervention. Magnetic Resonance Imaging (MRI) is the imaging modality that currently provides the best soft tissue contrasts. New visualization techniques based on three-dimensional MRI have been developed and is now being implemented and tested clinically at Aarhus University Hospital.

Partners

  • CAVI, University of Aarhus
    - Thomas Sangild Sørensen
  • Aarhus University Hospital
    MR Research Center
    - Erik Morre Pedersen, MD, DMSc, PhD
    Dept. of Cardiothoracic Surgery
    - Ole Kromann Hansen, MD
    Dept. Cardiology
    - Keld Sørensen, MD
  • Systematic Software Engineering
    - Søren Vorre Therkildsen

Results
The preliminary results show that cardiac morphology in congenital heart disease can be accurately reconstructed and represented by virtual models. As MR image quality continuously improves, image processing times are being reduced rapidly. This will undoubtedly make three-dimensional MRI with virtual reconstructions an important clinical investigative tool within the nearest future.


The process from scanning to visualization
on virtual reality equipment.

Related research will implement elastic tissue properties, allow cutting the model and inserting patches, as first steps towards a surgical simulator/trainer.

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Related research areas
CAVI
Project Managers
Thomas Sangild Sørensen

CAVI, University of Aarhus
Aabogade 34
DK 8200 Aarhus N, Denmark
phone: +45 8942 5647
email: sangild@daimi.au.dk
-----
MR Centre
Institute of Experimental Clinical Research
Aarhus University Hospital
DK 8200 Aarhus N, Denmark
phone: +45 8949 5246
 

Søren Vorre Therkildsen
Systematic Software Engineering A/S
Søren Frichs Vej 38K
DK 8230 Aabyhøj
Phone +45 8734 7093
Mobile +45 4038 5259
email: svt@systematic.dk
   CfPC©, updated: 14-nov-05