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Improved detection of air trapping on expiratory computed tomography using deep learning

Fig 5

Presented are the results of the effect of deflation level on the expiratory CT scans in quantifying AT.

A) A representative image of the expiratory CT scan from a single case (from Patient 2*) from the Site 1 cohort examined at baseline and its corresponding simulated % of residual volume (RV) 2D images. The images are windowed between [โ€“1000, โ€“50] for display purposes so that regions of AT are visible. [ยท] represents the mean intensity within the whole lung region in HU. B) Patient characteristics table for the four cases considered in this study. C) Plot of average quantitative air trapping (QAT) difference VS the simulated % of RV for the PTM, and DN method.

Fig 5

doi: https://doi.org/10.1371/journal.pone.0248902.g005