• DocumentCode
    329627
  • Title

    Multi-dimension modelling techniques for reciprocal space of NMR imaging

  • Author

    Soufian, M. ; Soufian, M.

  • Author_Institution
    Mech. Eng. Design & Manuf., Manchester Metropolitan Univ., UK
  • fYear
    1998
  • fDate
    1-4 Sep 1998
  • Firstpage
    1623
  • Abstract
    In this paper the application of multidimensional modelling techniques to a reciprocal space components of a nuclear magnetic resonance (NMR) imaging system is considered. These include a 2-dimensional input/output autoregressive moving average (ARMA) model, Fornasini and Marchesini (1976) state-space model and identifications based on multidimensional artificial neural networks (ANN)
  • Keywords
    biomedical MRI; 2D I/O ARMA model; ANN; NMR imaging; identification; input/output autoregressive moving average model; multidimensional artificial neural networks; multidimensional modelling techniques; nuclear magnetic resonance imaging; reciprocal space; state-space model;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Control '98. UKACC International Conference on (Conf. Publ. No. 455)
  • Conference_Location
    Swansea
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-708-X
  • Type

    conf

  • DOI
    10.1049/cp:19980472
  • Filename
    726162
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=329627