Graphic processing unit based phase retrieval and CT reconstruction for differential X-ray phase contrast imaging

  • Xiao-qing Chen (陈晓庆)
  • Yu-jie Wang (王宇杰)
  • Jian-qi Sun (孙建奇)
Article

Abstract

Compared with the conventional X-ray absorption imaging, the X-ray phase-contrast imaging shows higher contrast on samples with low attenuation coefficient like blood vessels and soft tissues. Among the modalities of phase-contrast imaging, the grating-based phase contrast imaging has been widely accepted owing to the advantage of wide range of sample selections and exemption of coherent source. However, the downside is the substantially larger amount of data generated from the phase-stepping method which slows down the reconstruction process. Graphic processing unit (GPU) has the advantage of allowing parallel computing which is very useful for large quantity data processing. In this paper, a compute unified device architecture (CUDA) C program based on GPU is introduced to accelerate the phase retrieval and filtered back projection (FBP) algorithm for grating-based tomography. Depending on the size of the data, the CUDA C program shows different amount of speed-up over the standard C program on the same Visual Studio 2010 platform. Meanwhile, the speed-up ratio increases as the size of data increases.

Key words

grating-based phase contrast imaging parallel computing graphic processing unit (GPU) compute unified device architecture (CUDA) filtered back projection (FBP) 

CLC number

R 318.6 

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Copyright information

© Shanghai Jiaotong University and Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Xiao-qing Chen (陈晓庆)
    • 1
  • Yu-jie Wang (王宇杰)
    • 2
  • Jian-qi Sun (孙建奇)
    • 1
  1. 1.School of Biomedical EngineeringShanghai Jiaotong UniversityShanghaiChina
  2. 2.Department of Physics and AstronomyShanghai Jiaotong UniversityShanghaiChina

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