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  • Title: GPU acceleration for digitally reconstructed radiographs using bindless texture objects and CUDA/OpenGL interoperability.
    Author: Abdellah M, Eldeib A, Owis MI.
    Journal: Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():4242-5. PubMed ID: 26737231.
    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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