Segmentation-driven 2D-3D registration for abdominal catheter interventions

Authors:
Martin Groher;Frederik Bender;Ralf-Thorsten Hoffmann;Nassir Navab
Affiliations:
Computer Aided Medical Procedures, TUM, Munich, Germany;Computer Aided Medical Procedures, TUM, Munich, Germany;Department of Clinical Radiology, University-Hospitals Munich-Grosshadern, Germany;Computer Aided Medical Procedures, TUM, Munich, Germany
Venue:
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Year:
2007

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Abstract

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.