• DocumentCode
    1707434
  • Title

    HeinzelCluster: accelerated reconstruction for FORE and OSEM3D

  • Author

    Vollmar, S. ; Michel, C. ; Treffert, J.T. ; Newport, D.F. ; Casey, M. ; Knöss, C. ; Wienhard, K. ; Liu, X. ; Defrise, M. ; Heiss, W.-D.

  • Author_Institution
    Max-Planck-Inst. fur Neurologische Forschung, Koln, Germany
  • Volume
    3
  • fYear
    2001
  • Firstpage
    1766
  • Abstract
    We have investigated two strategies to speedup reconstruction of data from our high resolution PET scanner (HRRT) on a dedicated cluster (7 nodes with 4 PIII Xeon@700 MHz, switched Fast Ethernet and Myrinet networking, Windows NT). With the first strategy, FORE/FOREJ and a fast 2D reconstruction method, we were able to reduce the 2D reconstruction time from 38 minutes to approx. 100 seconds. The second approach was to accelerate OSEM3D with a two-stage parallelization scheme resulting in a drop of reconstruction time from about 8 hours on one CPU to approx. 35 minutes for one core iteration.
  • Keywords
    Fourier analysis; image reconstruction; local area networks; medical image processing; positron emission tomography; CPU; Fourier rebinning; HeinzelCluster; Myrinet networking; OSEM3D; Windows NT; cluster reconstruction; dedicated cluster; fast two dimensional reconstruction method; high resolution positron emission tomography scanner; one core iteration; switched Fast Ethernet networking; two dimensional reconstruction time; two-stage parallelization scheme; Acceleration; Ethernet networks; Libraries; Linux; Message passing; Nuclear medicine; Reconstruction algorithms; Scheduling algorithm; Software tools; Switches;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2001 IEEE
  • ISSN
    1082-3654
  • Print_ISBN
    0-7803-7324-3
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2001.1008684
  • Filename
    1008684