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GPU acceleration for digitally reconstructed radiographs using bindless texture objects and CUDA/OpenGL interoperability.
Annu Int Conf IEEE Eng Med Biol Soc. 2015; 2015:4242-5.AI

Abstract

This paper features an advanced implementation of the X-ray rendering algorithm that harnesses the giant computing power of the current commodity graphics processors to accelerate the generation of high resolution digitally reconstructed radiographs (DRRs). The presented pipeline exploits the latest features of NVIDIA Graphics Processing Unit (GPU) architectures, mainly bindless texture objects and dynamic parallelism. The rendering throughput is substantially improved by exploiting the interoperability mechanisms between CUDA and OpenGL. The benchmarks of our optimized rendering pipeline reflect its capability of generating DRRs with resolutions of 2048(2) and 4096(2) at interactive and semi interactive frame-rates using an NVIDIA GeForce 970 GTX device.

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Publisher Full Text (DOI)

Authors

Abdellah M
No affiliation info available
Eldeib A
No affiliation info available
Owis MI
No affiliation info available

MeSH

AlgorithmsComputer GraphicsComputersHeadHumansImage Processing, Computer-AssistedModels, StatisticalProgramming LanguagesRadiographic Image EnhancementRadiographic Image Interpretation, Computer-AssistedSoftwareX-Rays

Pub Type(s)

Journal Article

Language

eng

PubMed ID

26737231

Citation

Abdellah, Marwan, et al. "GPU Acceleration for Digitally Reconstructed Radiographs Using Bindless Texture Objects and CUDA/OpenGL Interoperability." Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, vol. 2015, 2015, pp. 4242-5.
Abdellah M, Eldeib A, Owis MI. GPU acceleration for digitally reconstructed radiographs using bindless texture objects and CUDA/OpenGL interoperability. Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:4242-5.
Abdellah, M., Eldeib, A., & Owis, M. I. (2015). GPU acceleration for digitally reconstructed radiographs using bindless texture objects and CUDA/OpenGL interoperability. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2015, 4242-5. https://doi.org/10.1109/EMBC.2015.7319331
Abdellah M, Eldeib A, Owis MI. GPU Acceleration for Digitally Reconstructed Radiographs Using Bindless Texture Objects and CUDA/OpenGL Interoperability. Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:4242-5. PubMed PMID: 26737231.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - GPU acceleration for digitally reconstructed radiographs using bindless texture objects and CUDA/OpenGL interoperability. AU - Abdellah,Marwan, AU - Eldeib,Ayman, AU - Owis,Mohamed I, PY - 2016/1/7/entrez PY - 2016/1/7/pubmed PY - 2016/9/23/medline SP - 4242 EP - 5 JF - Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference JO - Annu Int Conf IEEE Eng Med Biol Soc VL - 2015 N2 - This paper features an advanced implementation of the X-ray rendering algorithm that harnesses the giant computing power of the current commodity graphics processors to accelerate the generation of high resolution digitally reconstructed radiographs (DRRs). The presented pipeline exploits the latest features of NVIDIA Graphics Processing Unit (GPU) architectures, mainly bindless texture objects and dynamic parallelism. The rendering throughput is substantially improved by exploiting the interoperability mechanisms between CUDA and OpenGL. The benchmarks of our optimized rendering pipeline reflect its capability of generating DRRs with resolutions of 2048(2) and 4096(2) at interactive and semi interactive frame-rates using an NVIDIA GeForce 970 GTX device. SN - 2694-0604 UR - https://www.unboundmedicine.com/medline/citation/26737231/GPU_acceleration_for_digitally_reconstructed_radiographs_using_bindless_texture_objects_and_CUDA/OpenGL_interoperability_ DB - PRIME DP - Unbound Medicine ER -