Real-Time Visualize the 3D reconstruction procedure using CUDA

In some online control CT systems, people need to tackle the problems of median reconstruction results during the CT scanning. It requires a very high computing capacity to realize an online reconstruction and immediate volume rendering. This paper presents a complete Real-Time Visualization method (RTV) for Cone-beam CT with latest GPU Tesla C1060. Unlike the former solutions, this method can visualize the intermediate results of the reconstruction procedure during scanning each projection. We can clearly see how the filtered projection data group forms a 3d volumetric reconstruction, and how broken projections and bunch of error pixels affect the final result. The final volume rendering result is obtained as soon as the scanning is completed. This method can also be a good alternative for 4D CT visualization.

[1]  H. Kudo,et al.  Helical-scan computed tomography using cone-beam projections , 1991 .

[2]  Thomas Ertl,et al.  A Generic Software Framework for the GPU Volume Rendering Pipeline , 2005 .

[3]  Rodney A. Kennedy,et al.  Efficient Histogram Algorithms for NVIDIA CUDA Compatible Devices , 2007 .

[4]  Yuxiang Xing,et al.  A BPF-type algorithm for CT with a curved PI detector. , 2006, Physics in medicine and biology.

[5]  Fang Xu,et al.  Accelerating popular tomographic reconstruction algorithms on commodity PC graphics hardware , 2005, IEEE Transactions on Nuclear Science.

[6]  Klaus Mueller,et al.  Rapid 3-D cone-beam reconstruction with the simultaneous algebraic reconstruction technique (SART) using 2-D texture mapping hardware , 2000, IEEE Transactions on Medical Imaging.

[7]  Klaus Mueller,et al.  Why do commodity graphics hardware boards (GPUs) work so well for acceleration of computed tomography? , 2007, Electronic Imaging.

[8]  Li Zhang,et al.  Fast imaging by a single-slice-detector helical CT , 2008, 2008 IEEE Nuclear Science Symposium Conference Record.

[9]  Wenyuan Bi,et al.  Accelerate helical cone-beam CT with graphics hardware , 2008, SPIE Medical Imaging.

[10]  Klaus Mueller,et al.  Practical considerations for GPU-accelerated CT , 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

[11]  M. Knaup,et al.  Hyperfast Perspective Cone--Beam Backprojection , 2006, 2006 IEEE Nuclear Science Symposium Conference Record.

[12]  Bi Wenyuan Accelerated 3-D T-FDK reconstruction algorithm using the commordity graphics hardware , 2006 .

[13]  L. Feldkamp,et al.  Practical cone-beam algorithm , 1984 .

[14]  G. Wang,et al.  A general cone-beam reconstruction algorithm , 1993, IEEE Trans. Medical Imaging.

[15]  Martin Kraus,et al.  High-quality pre-integrated volume rendering using hardware-accelerated pixel shading , 2001, HWWS '01.

[16]  Richard M. Leahy,et al.  Cone beam tomography with circular, elliptical and spiral orbits , 1992 .

[17]  Guowei Zhang,et al.  Exact Reconstruction for Dual Energy Computed Tomography Using an H-L Curve Method , 2006, 2006 IEEE Nuclear Science Symposium Conference Record.