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Chemical shift encoded imaging of hyperpolarized 13 C pyruvate
Author(s) -
Wiens Curtis N.,
FriesenWaldner Lanette J.,
Wade Trevor P.,
Sinclair Kevin J.,
McKenzie Charles A.
Publication year - 2015
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.25532
Subject(s) - compressed sensing , offset (computer science) , signal reconstruction , iterative reconstruction , data acquisition , signal (programming language) , undersampling , imaging phantom , scanner , computer science , signal to noise ratio (imaging) , chemistry , nuclear magnetic resonance , physics , signal processing , optics , artificial intelligence , digital signal processing , operating system , computer hardware , programming language
Purpose To demonstrate a reconstruction technique for separating signal from different hyperpolarized carbon‐13 metabolites. Methods A reconstruction method is described for chemical shift encoded separation of the signal from pyruvate and its downstream metabolites. This method uses consistency of the data with the signal model rather than an additional free‐induction decay (FID) acquisition to estimate the B 0 offset. Compressed sensing was also integrated into the reconstruction allowing reconstruction of metabolite images from undersampled datasets. The performance of the reconstruction was assessed using thermal phantoms, digital phantoms, and in vivo hyperpolarized [1‐ 13 C] pyruvate experiments. Results Thermal and digital phantoms indicate that metabolite separation is feasible given Signal‐to‐noise ratio > 5 and an initial B 0 offset estimate within −105 Hz to 90 Hz of the actual B 0 offset. In vivo comparisons to an existing FID calibrated reconstruction show improved fidelity in regions with significant field map inhomogeneity provided that these field map variations are accounted for using an additional proton acquisition. Prospectively and retrospectively undersampled studies show acceleration factors of 2 are feasible using compressed sensing. Conclusion A reconstruction framework for the separation of signal from pyruvate and its downstream metabolites is shown. This reconstruction eliminates the need to acquire additional calibration FID acquisition and allows acceleration through compressed sensing. Magn Reson Med 74:1682–1689, 2015. © 2014 Wiley Periodicals, Inc.