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

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
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}

}

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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.
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