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Dynamically adaptive MRI with encoding by singular value decomposition
Author(s) -
Zientara Gary P.,
Panych Lawrence P.,
Jolesz Ferenc A.
Publication year - 1994
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.1910320219
Subject(s) - singular value decomposition , encoding (memory) , set (abstract data type) , computer science , decomposition , image (mathematics) , algorithm , singular value , artificial intelligence , pattern recognition (psychology) , computer vision , physics , chemistry , eigenvalues and eigenvectors , organic chemistry , quantum mechanics , programming language
A new MRI spatial encoding method based upon the singular value decomposition (SVD) and using spatially selective RF excitation is described. This encoding technique is particularly; applicable to dynamic adaptive MRI, because it provides a near minimal set of spatial encoding profiles computed using an image estimate that is determined from a previously obtained image. Experimental results are presented for two cases, which exemplify its potential use in different dynamic imaging tasks. SVD‐encoded MRI has demonstrated to be a highly efficient encoding scheme.