Removal of off-resonance xenon gas artifacts in pulmonary gas-transfer MRI.

Removal of off-resonance xenon gas artifacts in pulmonary gas-transfer MRI.
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DOI:
10.1002/mrm.28737
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发表时间:
2021-08
影响因子:
3.3
通讯作者:
Woods JC
Woods JC
中科院分区:
医学3区
文献类型:
--
作者:
Willmering MM;Cleveland ZI;Walkup LL;Woods JC

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Hyperpolarized 129Xe gas-transfer imaging allows different components of pulmonary gas transfer - alveolar air space, lung interstitium/blood plasma (barrier), and red blood cells (RBCs) - to be assessed separately in a single breath. However, quantitative analysis is challenging, because dissolved-phase 129Xe images are often contaminated by off-resonant gas-phase signal generated via imperfectly selective excitation. While previous methods required additional data for gas-phase removal we report a method requiring no/minimal sequence modifications/data acquisitions, allowing many previously acquired images to be corrected retroactively. 129Xe imaging was implemented at 3.0T via an interleaved 3D-radial acquisition of the gaseous and dissolved phases (using 1-point Dixon reconstruction for the dissolved-phase) in a phantom and 46 human subjects. Gas-phase contamination (9.5±4.8%) was removed from gas-transfer data using a modified gas-phase image. SNR and signal distributions were compared before and after contamination removal. Additionally, theoretical gaseous contaminations were simulated at different magnetic field strengths for comparison. Gas-phase contamination at 3.0T was more diffuse and located predominantly outside the lungs, relative to simulated 1.5T contamination, due to the larger frequency offset. Phantom experiments illustrated a 91% removal efficiency. In human subjects, contamination removal produced significant changes in dissolved signal SNR (+7.8%), mean (−1.4%), and standard deviation (−2.3%) despite low contamination. Repeat measurements showed reduced variance (dissolved mean: −1.0%, standard deviation: −8.4%). Off-resonance gas-phase contamination can be removed robustly with no/minimal sequence modifications. Contamination removal permits more accurate quantification, reduces rf stringency requirements, and increases data consistency, providing improved sensitivity needed for multi-center trials.
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