Premium
Reduced phase encoding in spectroscopic imaging
Author(s) -
Maudsley Andrew A.,
Matson G. B.,
Hugg J. W.,
Weiner M. W.
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.1910310610
Subject(s) - k space , encoding (memory) , nuclear magnetic resonance , ringing , fourier transform , signal (programming language) , magnetic resonance spectroscopic imaging , ringing artifacts , sampling (signal processing) , computer science , physics , algorithm , mathematics , magnetic resonance imaging , optics , artificial intelligence , mathematical analysis , medicine , enhanced data rates for gsm evolution , image (mathematics) , radiology , programming language , detector
The effect of different spatial‐encoding ( k ‐space) sampling distributions are evaluated for magnetic resonance spectroscopic imaging (MRSI) using Fourier reconstruction. Previously, most MRSI studies have used square or cubic k ‐space functions, symmetrically distributed. These studies examine the conventional k ‐space distribution with spherical distribution, and 1/2 k ‐space acquisition, using computer simulation studies of the MRSI acquisition for three spatial dimensions and experimental results. Results compare the spatial response function, Gibbs ringing effects, and signal contamination for different spatial‐encoding distribution functions. Results indicate that spherical encoding, in comparison with cubic encoding, results in a modest improvement of the re sponse function with approximately equivalent spatial resolution for the same acquisition time. For spin‐echo acquired data, reduced acquisition times can readily be obtained using 1/2 k ‐space methods, with a concomitant reduction in signal to noise ratio.