Compressed sensing reconstruction for high-SNR, rapid dissolved (129)Xe gas exchange MRI

用于高信噪比、快速溶解(129)Xe气体交换磁共振成像的压缩感知重建

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Abstract

PURPOSE: Three-dimensional hyperpolarized (129)Xe gas exchange imaging suffers from low SNR and long breath-holds, which could be improved using compressed sensing (CS). The purpose of this work was to assess whether gas exchange ratio maps are quantitatively preserved in CS-accelerated dissolved-phase (129)Xe imaging and to investigate the feasibility of CS-dissolved (129)Xe imaging with reduced-cost natural abundance (NA) xenon. METHODS: (129)Xe gas exchange imaging was performed at 1.5 T with a multi-echo spectroscopic imaging sequence. A CS reconstruction with an acceleration factor of 2 was compared retrospectively with conventional gridding reconstruction in a cohort of 16 healthy volunteers, 5 chronic obstructive pulmonary disease patients, and 23 patients who were hospitalized following COVID-19 infection. Metrics of comparison included normalized mean absolute error, mean gas exchange ratio, and red blood cell (RBC) image SNR. Dissolved (129)Xe CS imaging with NA xenon was assessed in 4 healthy volunteers. RESULTS: CS reconstruction enabled acquisition time to be halved, and it reduced background noise. Median RBC SNR increased from 6 (2-18) to 11 (2-100) with CS, and there was strong agreement between CS and gridding mean ratio map values (R(2) = 0.99). Image fidelity was maintained for gridding RBC SNR > 5, but below this, normalized mean absolute error increased nonlinearly with decreasing SNR. CS increased the mean SNR of NA (129)Xe images 3-fold. CONCLUSION: CS reconstruction of dissolved (129)Xe imaging improved image quality with decreased scan time, while preserving key gas exchange metrics. This will benefit patients with breathlessness and/or low gas transfer and shows promise for NA-dissolved (129)Xe imaging.

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