Abstract
We propose a 2D-3D point-based registration method that provides fast and efficient alignment of X-ray fluoroscopy and CT images. Our method is divided into two procedures: pre-operative and intra-operative procedures. For pre-operative procedures, we generate digitally reconstructed radiographs (DRRs) from 3D volume using graphics hardware. In intra-operative procedures, we perform a hierarchical registration that includes in-plane registration using principal axes method and out-plane registration using minimal error searching method in spherical coordinates. This method reduces a degree of freedom from 6-DOF to 2-DOF. Experimental results using 2 cardiac phantoms show that our DRRs generation method is more than 150 times faster than software-based ray casting methods, and our hierarchical registration technique effectively matches DRRs and 2D images.
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Keywords
- Graphic Processing Unit
- Graphic Hardware
- Compute Tomography Volume
- Average Intensity Projection
- Marker Segmentation
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© 2006 Springer-Verlag Berlin Heidelberg
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Hong, H., Kim, K., Park, S. (2006). Fast 2D-3D Point-Based Registration Using GPU-Based Preprocessing for Image-Guided Surgery. In: Martínez-Trinidad, J.F., Carrasco Ochoa, J.A., Kittler, J. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2006. Lecture Notes in Computer Science, vol 4225. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11892755_22
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DOI: https://doi.org/10.1007/11892755_22
Publisher Name: Springer, Berlin, Heidelberg
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