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  • 标题:Reconstruction for Time-Domain In Vivo EPR 3D Multigradient Oximetric Imaging—A Parallel Processing Perspective
  • 本地全文:下载
  • 作者:Christopher D. Dharmaraj ; Kishan Thadikonda ; Anthony R. Fletcher
  • 期刊名称:International Journal of Biomedical Imaging
  • 印刷版ISSN:1687-4188
  • 电子版ISSN:1687-4196
  • 出版年度:2009
  • 卷号:2009
  • DOI:10.1155/2009/528639
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Three-dimensional Oximetric Electron Paramagnetic Resonance Imaging using the Single Point Imaging modality generates unpaired spin density and oxygen images that can readily distinguish between normal and tumor tissues in small animals. It is also possible with fast imaging to track the changes in tissue oxygenation in response to the oxygen content in the breathing air. However, this involves dealing with gigabytes of data for each 3D oximetric imaging experiment involving digital band pass filtering and background noise subtraction, followed by 3D Fourier reconstruction. This process is rather slow in a conventional uniprocessor system. This paper presents a parallelization framework using OpenMP runtime support and parallel MATLAB to execute such computationally intensive programs. The Intel compiler is used to develop a parallel C
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