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
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;
Conference_Titel :
Control '98. UKACC International Conference on (Conf. Publ. No. 455)
Conference_Location :
Swansea
Print_ISBN :
0-85296-708-X
DOI :
10.1049/cp:19980472
