Automatic quality assessment of CABG anastomoses using medical image analysis

  • Jørgensen, Alex Skovsbo (PI)

Project Details


In collaboration with Aalborg University hospital we have and are developing image analysis methods for automatic quantification of stenotic rates in CABG bypass anastomoses using epicardial ultrasound. The aim of the project is to perform a fully automated quality assessment of bypass anastomoses to detect surgical errors and enable revision during the surgery.
Short titleCABG image
Effective start/end date01/09/2011 → …


  • Segmentation
  • CABG
  • Medical image analysis
  • Quality assessment
  • Epicardial Ultrasound
  • Echoclip


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