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Parallel Implementation of a X-Ray Tomography Reconstruction Algorithm for High-Resolution Studies

  • J. Garcia
  • M. Abella
  • C. de Molina
  • E. Liria
  • F. Isaila
  • J. Carretero
  • M. Desco
Part of the IFMBE Proceedings book series (IFMBE, volume 41)

Abstract

Most small-animal X-ray computed tomography (CT) scanners are based on cone-beam geometry with a flatpanel detector orbiting in a circular trajectory. Image reconstruction in these systems is usually performed by approximate methods based on the algorithm proposed by Feldkamp, Davis and Kress (FDK). Currently there is a strong need to speed-up the reconstruction of CT data in order to extend its clinical applications. The evolution of the semiconductor detector panels has resulted in an increase of detector elements density, which produces a higher amount of data to process. This work focuses on both standard and future high-resolution studies, in which multiple level of parallelism will be needed in the reconstruction process. In addition, this paper addresses the future challenges of processing high-resolution images in many-core and distributed architectures.

Keywords

Reconstruction Image processing Parallel architectures MPI CUDA 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • J. Garcia
    • 1
  • M. Abella
    • 2
    • 3
  • C. de Molina
    • 2
    • 3
  • E. Liria
    • 1
  • F. Isaila
    • 1
  • J. Carretero
    • 1
  • M. Desco
    • 2
    • 3
    • 4
  1. 1.Computer Architecture and Communication AreaUniversity Carlos IIIMadridSpain
  2. 2.Bioengineering and Aerospace Engineering Dept.University Carlos IIIMadridSpain
  3. 3.Instituto de Investigacion Sanitaria Gregorio Marañon (IiSGM)MadridSpain
  4. 4.Centro de Investigacion en Red de Salud Mental (CIBERSAM)MadridSpain

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