Premium
Optimized and accelerated 19 F‐MRI of inhaled perfluoropropane to assess regional pulmonary ventilation
Author(s) -
Neal Mary A.,
Pippard Benjamin J.,
Hollingsworth Kieren G.,
Maunder Adam,
Dutta Prosenjit,
Simpson A. John,
Blamire Andrew M.,
Wild James M.,
Thelwall Peter E.
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.27805
Subject(s) - compressed sensing , undersampling , nuclear medicine , signal to noise ratio (imaging) , acceleration , medicine , scanner , gradient echo , prospective cohort study , radiology , magnetic resonance imaging , biomedical engineering , computer science , surgery , physics , artificial intelligence , telecommunications , classical mechanics
Purpose To accelerate 19 F‐MR imaging of inhaled perfluoropropane using compressed sensing methods, and to optimize critical scan acquisition parameters for assessment of lung ventilation properties. Methods Simulations were performed to determine optimal acquisition parameters for maximal perfluoropropane signal‐to‐noise ratio (SNR) in human lungs for a spoiled gradient echo sequence. Optimized parameters were subsequently employed for 19 F‐MRI of inhaled perfluoropropane in a cohort of 11 healthy participants using a 3.0 T scanner. The impact of 1.8×, 2.4×, and 3.0× undersampling ratios on 19 F‐MRI acquisitions was evaluated, using both retrospective and prospective compressed sensing methods. Results 3D spoiled gradient echo 19 F‐MR ventilation images were acquired at 1‐cm isotropic resolution within a single breath hold. Mean SNR was 11.7 ± 4.1 for scans acquired within a single breath hold (duration = 18 s). Acquisition of 19 F‐MRI scans at shorter scan durations (4.5 s) was also demonstrated as feasible. Application of both retrospective (n = 8) and prospective (n = 3) compressed sensing methods demonstrated that 1.8× acceleration had negligible impact on qualitative image appearance, with no statistically significant change in measured lung ventilated volume. Acceleration factors of 2.4× and 3.0× resulted in increasing differences between fully sampled and undersampled datasets. Conclusion This study demonstrates methods for determining optimal acquisition parameters for 19 F‐MRI of inhaled perfluoropropane and shows significant reduction in scan acquisition times (and thus participant breath hold duration) by use of compressed sensing.