The Effect of Automated Marker Detection on in Vivo Volumetric Stent Reconstruction

Authors:
Gert Schoonenberg;Pierre Lelong;Raoul Florent;Onno Wink;Bart Haar Romeny
Affiliations:
Philips Healthcare, X-Ray Predevelopment, Best, The Netherlands and Department of Biomedical Engineering, Division Biomedical Imaging and Modeling, Technische Universiteit Eindhoven, Eindhoven, Th ...;Philips France, Philips Research Paris, Paris, France;Philips France, Philips Research Paris, Paris, France;Philips Healthcare, X-Ray Predevelopment, Best, The Netherlands;Department of Biomedical Engineering, Division Biomedical Imaging and Modeling, Technische Universiteit Eindhoven, Eindhoven, The Netherlands
Venue:
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Year:
2008

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Abstract

New drug eluting stents are less radiopaque than bare metal stents and therefore difficult to see with conventional X-ray coronary angiography. 2D StentBoost and intravascular ultrasound (IVUS) are routinely used to evaluate stent deployment and vessel apposition during a percutaneous coronary intervention. IVUS images give cross-sectional information about the stent lumen and surrounding tissue. 2D StentBoost is a boosted angiogram sequence and visualizes the geometry of the deployed stent from a fixed viewing direction. Three-dimensional motion compensated volumetric stent reconstruction has been developed to give insight into the 3D geometry of the stent. Markers on the balloon wire are used to motion compensate cardiac rotational angiography acquisitions. In this paper we present the effect of automated marker detection on in vivo volumetric cardiac stent reconstructions. Automated or semi-automated marker detection reduces user interaction, potentially reduces total processing time, and increases detection results which leads to higher quality of stent reconstructions.