High Performance GPU-Based Fourier Volume Rendering
Fourier volume rendering (FVR) is a significant visualization technique that has been used widely in digital radiography. As a result of its O(N2logN) time complexity, it provides a faster alternative to spatial domain volume rendering algorithms that are O(N3) computationally complex. Relying on t...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2015/590727 |
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| _version_ | 1832551068504948736 |
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| author | Marwan Abdellah Ayman Eldeib Amr Sharawi |
| author_facet | Marwan Abdellah Ayman Eldeib Amr Sharawi |
| author_sort | Marwan Abdellah |
| collection | DOAJ |
| description | Fourier volume rendering (FVR) is a significant visualization technique that has been used widely in digital radiography. As a result of its O(N2logN) time complexity, it provides a faster alternative to spatial domain volume rendering algorithms that are O(N3) computationally complex. Relying on the Fourier projection-slice theorem, this technique operates on the spectral representation of a 3D volume instead of processing its spatial representation to generate attenuation-only projections that look like X-ray radiographs. Due to the rapid evolution of its underlying architecture, the graphics processing unit (GPU) became an attractive competent platform that can deliver giant computational raw power compared to the central processing unit (CPU) on a per-dollar-basis. The introduction of the compute unified device architecture (CUDA) technology enables embarrassingly-parallel algorithms to run efficiently on CUDA-capable GPU architectures. In this work, a high performance GPU-accelerated implementation of the FVR pipeline on CUDA-enabled GPUs is presented. This proposed implementation can achieve a speed-up of 117x compared to a single-threaded hybrid implementation that uses the CPU and GPU together by taking advantage of executing the rendering pipeline entirely on recent GPU architectures. |
| format | Article |
| id | doaj-art-adba6fbd73284a60be4d7b4847b1553b |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-adba6fbd73284a60be4d7b4847b1553b2025-02-03T06:05:00ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962015-01-01201510.1155/2015/590727590727High Performance GPU-Based Fourier Volume RenderingMarwan Abdellah0Ayman Eldeib1Amr Sharawi2Biomedical Engineering Department, Cairo University, Giza 12613, EgyptBiomedical Engineering Department, Cairo University, Giza 12613, EgyptBiomedical Engineering Department, Cairo University, Giza 12613, EgyptFourier volume rendering (FVR) is a significant visualization technique that has been used widely in digital radiography. As a result of its O(N2logN) time complexity, it provides a faster alternative to spatial domain volume rendering algorithms that are O(N3) computationally complex. Relying on the Fourier projection-slice theorem, this technique operates on the spectral representation of a 3D volume instead of processing its spatial representation to generate attenuation-only projections that look like X-ray radiographs. Due to the rapid evolution of its underlying architecture, the graphics processing unit (GPU) became an attractive competent platform that can deliver giant computational raw power compared to the central processing unit (CPU) on a per-dollar-basis. The introduction of the compute unified device architecture (CUDA) technology enables embarrassingly-parallel algorithms to run efficiently on CUDA-capable GPU architectures. In this work, a high performance GPU-accelerated implementation of the FVR pipeline on CUDA-enabled GPUs is presented. This proposed implementation can achieve a speed-up of 117x compared to a single-threaded hybrid implementation that uses the CPU and GPU together by taking advantage of executing the rendering pipeline entirely on recent GPU architectures.http://dx.doi.org/10.1155/2015/590727 |
| spellingShingle | Marwan Abdellah Ayman Eldeib Amr Sharawi High Performance GPU-Based Fourier Volume Rendering International Journal of Biomedical Imaging |
| title | High Performance GPU-Based Fourier Volume Rendering |
| title_full | High Performance GPU-Based Fourier Volume Rendering |
| title_fullStr | High Performance GPU-Based Fourier Volume Rendering |
| title_full_unstemmed | High Performance GPU-Based Fourier Volume Rendering |
| title_short | High Performance GPU-Based Fourier Volume Rendering |
| title_sort | high performance gpu based fourier volume rendering |
| url | http://dx.doi.org/10.1155/2015/590727 |
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