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MR image encoding by spatially selective rf excitation: An analysis using linear response models
Author(s) -
Panych Lawrence P.,
Zientara Gary P.,
Jolesz Ferenc A.
Publication year - 1999
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/(sici)1098-1098(1999)10:2<143::aid-ima5>3.0.co;2-w
Subject(s) - encoding (memory) , fourier transform , computer science , basis (linear algebra) , fourier analysis , pulse sequence , algorithm , singular value decomposition , wavelet , excitation , fourier series , basis function , encode , artificial intelligence , nuclear magnetic resonance , physics , mathematics , mathematical analysis , chemistry , geometry , quantum mechanics , biochemistry , gene
Spatially selective radiofrequency (rf) excitation has been applied to encode magnetic resonance (MR) images using non‐Fourier basis sets such as wavelets. While non‐Fourier–encoded MRI has the advantage of flexibility allowing for various adaptive imaging strategies, pulse sequence implementation for spatially selective rf excitation presents unique problems. Two linear response models are described that aid in the analysis of non‐Fourier–encoding methods. The models represent important characteristics of the physical system involved in the encoding process and formalize mathematically aspects of the implementation that are relevant for pulse sequence design. As an illustrative example, these response models are applied for an analysis of a three‐dimensional echo‐planar method that encodes MR images using a basis derived by singular value decomposition. © 1999 John Wiley & Sons, Inc. Int J Imaging Syst Technol, 10, 143–150, 1999