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

Research output: Chapter in Book/Conference paperConference paper

10 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro, ISBI 2009
Pages959-962
Number of pages4
DOIs
Publication statusPublished - 17 Nov 2009
Externally publishedYes
Event2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 - Boston, MA, United States
Duration: 28 Jun 20091 Jul 2009

Conference

Conference2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
CountryUnited States
CityBoston, MA
Period28/06/091/07/09

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    Metz, C. T., Schaap, M., Klein, S., Weustink, A. C., Mollet, N. R., Schultz, C., Van Geuns, R. J., Serruys, P. W., Van Walsum, T., & Niessen, W. J. (2009). GPU accelerated alignment of 3-D CTA with 2-D X-ray data for improved guidance in coronary interventions. In Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 (pp. 959-962). [5193213] https://doi.org/10.1109/ISBI.2009.5193213