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
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
