• DocumentCode
    2765364
  • Title

    Image reconstruction on hypercube computers

  • Author

    Zapata, E.L. ; Benavides, I. ; Rivera, F.F. ; Bruguera, J.D. ; Carazo, J.M.

  • Author_Institution
    Dept. of Electron., Univ. Santiago de Compostela, Spain
  • fYear
    1990
  • fDate
    8-10 Oct 1990
  • Firstpage
    127
  • Lastpage
    134
  • Abstract
    The problem of the 3-D reconstruction of an object from its 2-D projection images using filtered backprojection is addressed. The implementation of the filtered backprojection method on hypercube computers is analyzed. It is shown that the parallel algorithm is general in the sense that it does not impose any restriction on the problem space dimensions and is adaptable to any hypercube dimension. The flexibility of the algorithm is rooted in the methodology developed for embedding algorithms into hypercubes. The algorithmic complexity is analyzed. Because the data redundancy associated with the replication of the projection images in all the PEs has allowed the process of simple backprojection to be designed without routing, an optimum algorithmic complexity is obtained
  • Keywords
    computational complexity; computerised picture processing; parallel algorithms; 2-D projection images; 3-D reconstruction; algorithmic complexity; data redundancy; filtered backprojection; hypercube computers; image reconstruction; parallel algorithm; problem space dimensions; Algorithm design and analysis; Back; Concurrent computing; Convolution; Filtering; Fourier transforms; Hypercubes; Image processing; Image reconstruction; Reconstruction algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers of Massively Parallel Computation, 1990. Proceedings., 3rd Symposium on the
  • Conference_Location
    College Park, MD
  • Print_ISBN
    0-8186-2053-6
  • Type

    conf

  • DOI
    10.1109/FMPC.1990.89448
  • Filename
    89448