Contrast Media Reduction in Computed Tomography With Deep Learning Using a Generative Adversarial Network in an Experimental Animal Study

From the ∗Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen

†MR and CT Contrast Media Research, Bayer AG, Berlin

‡Institute of Artificial Intelligence in Medicine, University Hospital Essen, Germany.

Received for publication January 31, 2022; and accepted for publication, after revision, February 21, 2022.

Conflicts of interest and sources of funding: The study was performed in cooperation with Bayer AG. H.P and G.J. are employees of Bayer AG. J.H. has received financial support from the Clinician Scientist Program of the Clinician Scientist Academy (UMEA) of the University Hospital Essen, funded by the German Research Foundation (DFG, FU 356/12-1). The DFG had no influence on the study design, data collection, data interpretation, data analysis, or report writing. The corresponding authors had full access to all data in the study and had ultimate responsibility for the decision to submit the study for publication. The remaining authors declare no other conflict of interest.

Correspondence to: Felix Nensa, MD, Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Hufelandstraße 55, 45147 Essen, Germany. E-mail: [email protected].

留言 (0)

沒有登入
gif