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Accelerating phase‐encoded proton MR spectroscopic imaging by compressed sensing
Author(s) -
Cao Peng,
Wu Ed X.
Publication year - 2015
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.24553
Subject(s) - compressed sensing , undersampling , magnetic resonance spectroscopic imaging , metabolite , phase (matter) , imaging phantom , computer science , nuclear magnetic resonance , voxel , physics , iterative reconstruction , encoding (memory) , algorithm , magnetic resonance imaging , materials science , optics , artificial intelligence , chemistry , radiology , medicine , biochemistry , quantum mechanics
Purpose To develop a phase encoding reduction scheme based on compressed sensing (CS) for phase‐encoded 1 H MR spectroscopic imaging (MRSI). Materials and Methods Phantom and in vivo rat brain MRSI experiments were performed at 7 Tesla to examine the performance of CS approach and compare it with the full k ‐space acquisition. The CS undersampling was performed by acquiring a pseudorandom and density‐varying subset of phase encodings. Residual water resonance was first removed from the undersampled k ‐space dataset before CS reconstruction. The CS reconstruction was performed by a linearized Bregman iteration procedure for efficiency in computing large scale L1 minimization. The spectral and spatial fidelity was evaluated by comparing spectral linewidths and metabolite maps and voxel‐wise Bland‐Altman analysis. Results CS preserved the spectral resolution and metabolite content levels. No spectral broadening was observed, and the estimation biases of the metabolite content levels were no more than 4%. CS clearly preserved the boundaries of metabolite maps but led to slight loss of details in metabolite maps. Conclusion This study demonstrated the feasibility of the proposed CS approach to accelerate phase‐encoded 1 H MRSI. J. Magn. Reson. Imaging 2015;41:487–495. © 2013 Wiley Periodicals, Inc .