Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007

Volume 4792 of the series Lecture Notes in Computer Science pp 527-535

Segmentation-Driven 2D-3D Registration for Abdominal Catheter Interventions

  • Martin GroherAffiliated withComputer Aided Medical Procedures (CAMP), TUM, Munich
  • , Frederik BenderAffiliated withComputer Aided Medical Procedures (CAMP), TUM, Munich
  • , Ralf-Thorsten HoffmannAffiliated withDepartment of Clinical Radiology, University-Hospitals Munich-Grosshadern
  • , Nassir NavabAffiliated withComputer Aided Medical Procedures (CAMP), TUM, Munich

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2D-3D registration of abdominal angiographic data is a difficult problem due to hard time constraints during the intervention, different vessel contrast in volume and image, and motion blur caused by breathing. We propose a novel method for aligning 2D Digitally Subtracted Angiograms (DSA) to Computed Tomography Angiography (CTA) volumes, which requires no user interaction intrainterventionally. In an iterative process, we link 2D segmentation and 2D-3D registration using a probability map, which creates a common feature space where outliers in 2D and 3D are discarded consequently. Unlike other approaches, we keep user interaction low while high capture range and robustness against vessel variability and deformation are maintained. Tests on five patient data sets and a comparison to two recently proposed methods show the good performance of our method.