• DocumentCode
    3684888
  • Title

    GPU acceleration for digitally reconstructed radiographs using bindless texture objects and CUDA/OpenGL interoperability

  • Author

    Marwan Abdellah;Ayman Eldeib;Mohamed I. Owis

  • Author_Institution
    Department of Biomedical Engineering, Faculty of Engineering, Cairo University, Egypt
  • fYear
    2015
  • Firstpage
    4242
  • Lastpage
    4245
  • 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 20482 and 40962 at interactive and semi interactive frame-rates using an NVIDIA GeForce 970 GTX device.
  • Keywords
    "Graphics processing units","Rendering (computer graphics)","Pipelines","Computer architecture","Transforms","Imaging","Kernel"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7319331
  • Filename
    7319331