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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(N2log⁡N) 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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Published in:International Journal of Biomedical Imaging Vol. 2015; pp. 1 - 14
Main Authors: Abdellah, Marwan, Eldeib, Ayman, Sharawi, Amr
Format: diagnostic images pictorial tables/charts Journal Article
Published: Wiley-Blackwell 2/19/2015
Online Access:View this record in EBSCOhost
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      jtl: International Journal of Biomedical Imaging
      issn: 16874188
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      dt: 2/19/2015
      vid: 2015
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        109149626
        109149626
        109149626
        10.1155/2015/590727
        109149626
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        atl: High Performance GPU-Based Fourier Volume Rendering.
      aug:
        au:
          Abdellah, Marwan
          Eldeib, Ayman
          Sharawi, Amr
        affil: Biomedical Engineering Department, Cairo University, Giza 12613, Egypt
      sug:
        subj:
          Edit and Review
          Computer Processor
          Graphics
          Power
          Time
          Algorithms
      ab: Fourier volume rendering (FVR) is a significant visualization technique that has been used widely in digital radiography. As a result of its O(N2log⁡N) 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.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        pictorial
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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