Footprint evaluation for volume rendering
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
Fast volume rendering using a shear-warp factorization of the viewing transformation
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Alignment by Maximization of Mutual Information
International Journal of Computer Vision
Principles of computerized tomographic imaging
Principles of computerized tomographic imaging
An approach to 2D/3D registration of a vertebra in 2D X-ray fluoroscopies with 3D CT images
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
Image Registration by Maximization of Combined Mututal Information and Gradient Information
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Registration of Planar Film Radiographs with Computed Tomography
MMBIA '96 Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '96)
Iterative x-ray/ct registration using accelerated volume rendering
Iterative x-ray/ct registration using accelerated volume rendering
| Hi-index | 0.00 |
In this paper, we present a very fast algorithm for generating Digitally Reconstructed Radiographs(DRRs) using cylindrical harmonics. Real-time generation of DRRs is crucial in intra-operative applications requiring matching of pre-operative 3D data to 2D X-ray images acquired intra-operatively. Our algorithm involves representing the preoperative 3D data set in a cylindrical harmonic representation and then projecting each of these harmonics from the chosen projection point to construct a set of 2D projections whose superposition is the DRR of the data set in its reference orientation. The key advantage of our algorithm over existing algorithms such as the ray-casting or the voxel projection or the hybrid schemes is that in our method, once the projection set is generated from an arbitrarily chosen point of projection, DRRs of the underlying object at arbitrary rotations are simply obtained via a complete exponentially weighted superposition of the set. This leads to tremendous computational savings over and above the basic computational advantages of the algorithm involving the use of truncated cylindrical harmonic representation of the data. We present examples of DRR synthesis with fanbeam projection geometry for synthetic and real data. As an indicator of the speed of computation of one DRR from an arbitrary projection point, only 2-3 CPU seconds are required on a DELL Precision 420 using MATLAB as the program development environment.