Preserving image texture while reducing radiation dose with a deep learning image reconstruction algorithm in chest CT: A phantom study

Computed Tomography (CT) is the major dose contributor of all radiographic procedures [1]. Nevertheless, over the past two decades, the advancements in CT technology, protocol optimizations, and scanning routines led to a significant reduction in CT dose. In the clinical routine, radiation exposure is optimized and reduced by adjusting the tube current, however when decreasing the tube current, the image noise proportionally increases.

Source: Physica Medica: European Journal of Medical Physics - January 11, 2021 Category: General Medicine Authors: Caro Franck, Guozhi Zhang, Paul Deak, Federica Zanca Tags: Technical note Source Type: research