From the ∗Department of Radiology, University of Wisconsin Madison School of Medicine and Public Health
†Department of Imaging Physics and Abdominal Imaging, University of Texas MD Anderson Cancer Center, Houston, TX
‡Department of Medical Physics and Biomedical Engineering, University of Wisconsin Madison School of Engineering.
Received for publication March 24, 2022; accepted June 29, 2022.
Correspondence to: Timothy P. Szczykutowicz, PhD, University of Wisconsin Madison, Departments of Radiology, Medical Physics, and Biomedical Engineering, 600 Highland Ave, Madison, WI 53792 (e-mail: [email protected]).
M.G.L. and C.T.J. are co-senior authors.
This study was supported by institutional Cancer Center Support Grant from the National Institutes of Health/National Cancer Institute under award number P30CA016672.
T.P.S. is on the medical advisory board of Imalogix LLC and Alara Imaging, receives research support from and is on an advisory board of GE Healthcare, is a consultant to Rapid.AI, AstoCT LLC, and is the Founder of RadUnity Corp. M.G.L. has received past grant funding from Philips and Ethicon. C.T.J. and X.L. received in-kind grant funding from GE healthcare for the evaluation of deep-learning image reconstruction in CT. M.A.P. is a consultant to GE Healthcare.
