Compressed sensing has been applied to
hyperpolarized gas MRI to accelerate acquisition and allow for increased data or
resolution. To better understand the effect of compressed sensing on biomarkers
derived from static ventilation images, data were retrospectively undersampled
in 10 individuals with chronic obstructive pulmonary disease and k-means
clustering was performed. Raw reconstruction resulted in differences less than
the ventilation defect percent minimal clinically important difference up to an
acceleration factor of 3. The total variation Split-Bregman reconstruction
resulted in qualitatively adequate images, however, further optimization of
regularized reconstruction techniques is required to achieve consistent
ventilation signal clustering.
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