The potential for reduced radiation dose from deep learning-based CT image reconstruction

The purpose of this phantom study is to compare radiation dose and image quality of abdominal computed tomography (CT) scanned with different tube voltages and tube currents, reconstructed with filtered back projection (FBP), hybrid iterative reconstruction (IR) and deep learning image reconstruction (DLIR) algorithms. A total of 15 CT scans of whole body phantoms were taken with 3 different tube voltages and 5 different tube currents. The...