Dynamically adaptive MRI with encoding by singular value decomposition | Zendy

Zientara Gary P. | Zendy; Panych Lawrence P. | Zendy; Jolesz Ferenc A. | Zendy

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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.

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