Location constraint based 2D-3D registration of fluoroscopic images and CT volumes for image-guided EP procedures

Rui Liao; Ning Xu; Yiyong Sun

doi:10.1117/12.770329

17 March 2008 Location constraint based 2D-3D registration of fluoroscopic images and CT volumes for image-guided EP procedures

Rui Liao, Ning Xu, Yiyong Sun

Author Affiliations +

Proceedings Volume 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling; 69182T (2008) https://doi.org/10.1117/12.770329
Event: Medical Imaging, 2008, San Diego, California, United States

Abstract

Presentation of detailed anatomical structures via 3D Computed Tomographic (CT) volumes helps visualization and navigation in electrophysiology procedures (EP). Registration of the CT volume with the online fluoroscopy however is a challenging task for EP applications due to the lack of discernable features in fluoroscopic images. In this paper, we propose to use the coronary sinus (CS) catheter in bi-plane fluoroscopic images and the coronary sinus in the CT volume as a location constraint to accomplish 2D-3D registration. Two automatic registration algorithms are proposed in this study, and their performances are investigated on both simulated and real data. It is shown that compared to registration using mono-plane fluoroscopy, registration using bi-plane images results in substantially higher accuracy in 3D and enhanced robustness. In addition, compared to registering the projection of CS to the 2D CS catheter, it is more desirable to reconstruct a 3D CS catheter from the bi-plane fluoroscopy and then perform a 3D-3D registration between the CS and the reconstructed CS catheter. Quantitative validation based on simulation and visual inspection on real data demonstrates the feasibility of the proposed workflow in EP procedures.

Citation Download Citation

Rui Liao, Ning Xu, and Yiyong Sun "Location constraint based 2D-3D registration of fluoroscopic images and CT volumes for image-guided EP procedures", Proc. SPIE 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, 69182T (17 March 2008); https://doi.org/10.1117/12.770329

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