GPU accelerated alignment of 3-D CTA with 2-D X-ray data for improved guidance in coronary interventions
Departments of Medical Informatics and Radiology, Erasmus MC, Rotterdam, The Netherlands
IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009. ISBI ’09
@inproceedings{metz2009gpu,
title={GPU accelerated alignment of 3-D CTA with 2-D X-ray data for improved guidance in coronary interventions},
author={Metz, CT and Schaap, M. and Klein, S. and Weustink, AC and Mollet, NR and Schultz, C. and Van Geuns, RJ and Serruys, PW and Van Walsum, T. and Niessen, WJ},
booktitle={Biomedical Imaging: From Nano to Macro, 2009. ISBI’09. IEEE International Symposium on},
pages={959–962},
year={2009},
organization={IEEE}
}
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 oPn average 1.34 mm.
May 20, 2011 by hgpu
