Comparing fully automated AI body composition measures derived from thin and thick slice CT image data.

Abstract

Authors

• Matthew H Lee
  Department of Radiology, University of Wisconsin School of Medicine & Public Health, 600 Highland Ave, Madison, WI 53792.
• Daniel Liu
  Department of Radiology, School of Medicine & Public Health, E3/311 Clinical Science Center, University of Wisconsin, 600 Highland Ave, Madison, WI, 53792-3252, USA.
• John W Garrett
  From the Departments of Medical Physics (R.Z., X.T., C.Z., D.G., J.W.G., K.L., S.B.R., G.H.C.) and Radiology (M.L.S., J.W.G., K.L., S.B.R., G.H.C.), University of Wisconsin-Madison School of Medicine and Public Health, 1111 Highland Ave, Madison, WI 53705; and Department of Radiology, Henry Ford Health System, Detroit, Mich (Z.Q., N.B.B., T.K.S., J.D.N,).
• Alberto Perez
  Department of Chemistry and Quantum Theory Project, University of Florida, Gainesville, FL 32611.
• Ryan Zea
  Department of Radiology, The University of Wisconsin School of Medicine and Public Health, E3/311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792-3252.
• Ronald M Summers
  National Institutes of Health, Clinical Center, Radiology and Imaging Sciences, 10 Center Drive, Bethesda, MD 20892, USA.
• Perry J Pickhardt
  University of Wisconsin Medical School, Department of Radiology, Madison, Wisconsin, United States.

Keywords

External Resources