high performance gpu-based fourier volume rendering

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ID: 153754
2015
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Abstract
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.
Reference Key
abdellah2015internationalhigh Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Marwan Abdellah;Ayman Eldeib;Amr Sharawi
Journal Chemistry, an Asian journal
Year 2015
DOI
10.1155/2015/590727
URL
http://dx.doi.org/10.1155/2015/590727
Keywords
medical physics nuclear medicinemedical technology medical radiology

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