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

Coert Metz, Michiel Schaap, Stefan Klein, A.C. Weustink, Nico Mollet, Carl Schultz, Robert Jan van Geuns, PWJC (Patrick) Serruys, Theo van Walsum, Wiro Niessen

Research output: Contribution to journalArticleAcademic

12 Citations (Scopus)


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.
Original languageUndefined/Unknown
Pages (from-to)959-962
Number of pages4
Journal2009 IEEE International symposium on biomedical imaging: from nano to macro
Publication statusPublished - 2009

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