Dose reduction potential of vendor-agnostic deep learning model in comparison with deep learning-based image reconstruction algorithm on CT: a phantom study.
Hyunsu ChoiWon ChangJong Hyo KimChulkyun AhnHeejin LeeHae Young KimJungheum ChoYoon Jin LeeYoung Hoon KimPublished in: European radiology (2021)
• DRP of the vendor-agnostic model was comparable to that of high-strength vendor-specific model and superior to those of medium- and low-strength models. • Under various radiation dose levels, the deep learning model shows higher detectability indexes compared to FBP.