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Accelerating chemical exchange saturation transfer MRI with parallel blind compressed sensing
Author(s) -
She Huajun,
Greer Joshua S.,
Zhang Shu,
Li Bian,
Keupp Jochen,
Madhuranthakam Ananth J.,
Dimitrov Ivan E.,
Lenkinski Robert E.,
Vinogradov Elena
Publication year - 2019
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.27400
Subject(s) - magnetization transfer , compressed sensing , imaging phantom , undersampling , computer science , nuclear magnetic resonance , magnetic resonance imaging , chemistry , algorithm , physics , artificial intelligence , optics , radiology , medicine
Purpose Chemical exchange saturation transfer is a novel and promising MRI contrast method, but it can be time‐consuming. Common parallel imaging methods, like SENSE, can lead to reduced quality of CEST. Here, parallel blind compressed sensing (PBCS), combining blind compressed sensing (BCS) and parallel imaging, is evaluated for the acceleration of CEST in brain and breast. Methods The CEST data were collected in phantoms, brain ( N = 3), and breast ( N = 2). Retrospective Cartesian undersampling was implemented and the reconstruction results of PBCS‐CEST were compared with BCS‐CEST and k‐t sparse‐SENSE CEST. The normalized RMSE and the high‐frequency error norm were used for quantitative comparison. Results In phantom and in vivo brain experiments, the acceleration factor of R = 10 (24 k‐space lines) was achieved and in breast R = 5 (30 k‐space lines), without compromising the quality of the PBCS‐reconstructed magnetization transfer rate asymmetry maps and Z‐spectra. Parallel BCS provides better reconstruction quality when compared with BCS, k‐t sparse‐SENSE, and SENSE methods using the same number of samples. Parallel BCS overperforms BCS, indicating that the inclusion of coil sensitivity improves the reconstruction of the CEST data. Conclusion The PBCS method accelerates CEST without compromising its quality. Compressed sensing in combination with parallel imaging can provide a valuable alternative to parallel imaging alone for accelerating CEST experiments.