Alignment of 4d coronary CTA with monoplane x-ray angiography

Authors:
Coert Metz;Michiel Schaap;Stefan Klein;Peter Rijnbeek;Lisan Neefjes;Nico Mollet;Carl Schultz;Patrick Serruys;Wiro Niessen;Theo van Walsum
Affiliations:
Department of Radiology, Erasmus MC, Rotterdam, The Netherlands, Department of Medical Informatics, Erasmus MC, Rotterdam, The Netherlands;Department of Radiology, Erasmus MC, Rotterdam, The Netherlands, Department of Medical Informatics, Erasmus MC, Rotterdam, The Netherlands;Department of Radiology, Erasmus MC, Rotterdam, The Netherlands, Department of Medical Informatics, Erasmus MC, Rotterdam, The Netherlands;Department of Medical Informatics, Erasmus MC, Rotterdam, The Netherlands;Department of Radiology, Erasmus MC, Rotterdam, The Netherlands;Department of Radiology, Erasmus MC, Rotterdam, The Netherlands;Department of Cardiology, Erasmus MC, Rotterdam, The Netherlands;Department of Cardiology, Erasmus MC, Rotterdam, The Netherlands;Department of Radiology, Erasmus MC, Rotterdam, The Netherlands, Department of Medical Informatics, Erasmus MC, Rotterdam, The Netherlands, Delft University of Technology, The Netherlands;Department of Radiology, Erasmus MC, Rotterdam, The Netherlands, Department of Medical Informatics, Erasmus MC, Rotterdam, The Netherlands
Venue:
AE-CAI'11 Proceedings of the 6th international conference on Augmented Environments for Computer-Assisted Interventions
Year:
2011

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Abstract

We propose a 3D+t/2D+t registration strategy to relate preoperative CTA to intraoperative X-ray angiography for improved image guidance during coronary interventions. We first derive 4D coronary models from CTA and then align these models both temporally and spatially to the intraoperative images. Temporal alignment is based on aligning ECG signals, whereas the spatial alignment uses a similarity metric based on centerline projection and fuzzy X-ray segmentation. In the spatial alignment step we use information from multiple time points simultaneously and take into account rigid respiratory motion. Evaluation shows improved performance compared to a 3D/2D approach with respect to both registration success and reproducibility.