GPU accelerated alignment of 3-D CTA with 2-D X-ray data for improved guidance in coronary interventions

Authors:
C. T. Metz;M. Schaap;S. Klein;A. C. Weustink;N. R. Mollet;C. Schultz;R. J. Van Geuns;P. W. Serruys;T. Van Walsum;W. J. Niessen
Affiliations:
Departments of Medical Informatics and Radiology, Erasmus MC, Rotterdam, The Netherlands;Departments of Medical Informatics and Radiology, Erasmus MC, Rotterdam, The Netherlands;Departments of Medical Informatics and Radiology, Erasmus MC, Rotterdam, The Netherlands;Departments of Radiology and Cardiology, Erasmus MC, Rotterdam, The Netherlands;Departments of Radiology and Cardiology, Erasmus MC, Rotterdam, The Netherlands;Department of Cardiology, Erasmus MC, Rotterdam, The Netherlands;Department of Cardiology, Erasmus MC, Rotterdam, The Netherlands;Department of Cardiology, Erasmus MC, Rotterdam, The Netherlands;Departments of Medical Informatics and Radiology, Erasmus MC, Rotterdam, The Netherlands;Departments of Medical Informatics and Radiology, Erasmus MC, Rotterdam, The Netherlands and Faculty of Applied Sciences, Delft University of Technology, The Netherlands
Venue:
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Year:
2009

Citing 1
Cited 2

2D-3D Intensity Based Registration of DSA and MRA - A Comparison of Similarity Measures

MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II

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

AE-CAI'11 Proceedings of the 6th international conference on Augmented Environments for Computer-Assisted Interventions
Comparative evaluation of regression methods for 3d-2d image registration

ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a 2-D/3-D registration method for the alignment of cardiac X-ray images to ECG gated CTA data of the coronary arteries. The purpose of our work is to provide visualization of instruments in relation to pre-operative CTA data during interventional cardiology for improved image guidance, especially in complex procedures. The method utilizes the graphical processing unit (GPU) for rendering of digitally reconstructed radiographs (DRRs) from a 3-D CTA-derived coronary model. Using a multi-scale gradient ascent framework, the normalized cross correlation between the simulated and real X-ray image is optimized. Quantitative evaluation is performed by computing the projection error of the vessel centerlines, which was on average 1.34 mm.