Horst Kelly,  Zhongxing Zhou,  Hull Nathan,  Thacker Paul,  Thorne Jamison,  Fletcher Joel,  Mccollough Cynthia

Final Pr. ID: Poster #: SCI-001

We sought to evaluate the quality and interpretability of non-contrast chest CT images in pediatric patients for the diagnosis of airway disease at two low-dose levels with and without denoising using a deep convolutional neural network (CNN), with one of the dose levels approaching that in a standard chest radiograph. Read More

Authors:  Horst Kelly , Zhongxing Zhou , Hull Nathan , Thacker Paul , Thorne Jamison , Fletcher Joel , Mccollough Cynthia

Keywords:  reduced-dose chest CT, CNN denoising, iterative reconstruction