Fig. 2
From: Image quality improvement in head and neck angiography based on dual-energy CT and deep learning
Examples of quantitative measurement used in our study. (A) reconstructed images from 120-kVp-like with ASIR-V40%; (B) reconstructed images from 50 keV with ASIR-V40%; (C) reconstructed images from 50 keV with DLIR-M; (D) reconstructed images from 50 keV with DLIR-H; E, ERD and ERS of four reconstruction algorithms. The common carotid artery running in the axial plane was selected, and a perpendicular line was drawn (the yellow lines in A - D), edge line profile was calculated reflecting the CT attenuation profile of those lines. In figure E, the red dashed lines in figure E indicated the last dip point and the first peak point on the rapid descending CT attenuation curve, and the red dots indicated the 10% point and 90% point. ERD was the distance between two red dots in its CT attenuation curve and ERS was the slope between these two red dots