Improved digital chest tomosynthesis image quality by use of a projection-based dual-energy virtual monochromatic convolutional neural network with super resolution
Fig 6
Assessing improvements in image quality using the Signal-Difference-to-Noise Ratio (SDNR), a statistical model with a Gumbel distribution, and the radial Modulation Transfer Function (radial MTF) of the selected features.
(a) The in-focus plane image shows the simulated ground-glass opacity (GGO) nodule and background areas of the SDNR, (b) measurements and the ripple artifact with simulated GGO nodule areas of the Gumbel analysis, and (c) measurements of the simulated GGO nodule areas of the radial MTF.
