Automated MR Image Prescription of the Liver Using Deep Learning: Development, Evaluation, and Prospective Implementation.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date:

Abstract

BACKGROUND: There is an unmet need for fully automated image prescription of the liver to enable efficient, reproducible MRI.

Authors

  • Ruiqi Geng
    Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
  • Collin J Buelo
    Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
  • Mahalakshmi Sundaresan
    Department of Electrical and Computer Engineering, University of Wisconsin, Madison, Wisconsin, USA.
  • Jitka Starekova
    University of Wisconsin-Madison, 1111 Highland Ave, Madison, WI, 53705, USA.
  • Nikolaos Panagiotopoulos
    Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
  • Thekla H Oechtering
    Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
  • Edward M Lawrence
    Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
  • Marcin Ignaciuk
    Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
  • Scott B Reeder
    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,).
  • Diego Hernando
    Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA.