Convolutional neural network-automated hepatobiliary phase adequacy evaluation may optimize examination time.

Journal: European journal of radiology
Published Date: Mar 1, 2020

Abstract

PURPOSE: To develop and evaluate the performance of a fully-automated convolutional neural network (CNN)-based algorithm to evaluate hepatobiliary phase (HBP) adequacy of gadoxetate disodium (EOB)-enhanced MRI. Secondarily, we explored the potential of the proposed CNN algorithm to reduce examination length by applying it to EOB-MRI examinations.

Authors

  • Guilherme Moura Cunha
    Liver Imaging Group, Department of Radiology, University of California San Diego, La Jolla, CA, USA. gcunha@ucsd.edu.
  • Kyle A Hasenstab
    Department of Radiology, University of California, San Diego, 9452 Medical Center Dr, 4th Floor, La Jolla, CA 92037 (T.A.R., S.J.K., K.E.J., A.C.Y., S.S.B., L.D.H., A.H.); and Department of Mathematics and Statistics, San Diego State University, San Diego, Calif (K.A.H.).
  • Atsushi Higaki
    Liver Imaging Group, Department of Radiology, University of California San Diego, La Jolla, CA, USA.
  • Kang Wang
    Department of Orthopedics, Third Hospital of Changsha, Changsha 410015.
  • Timo Delgado
    Liver Imaging Group, Department of Radiology, University of California San Diego, La Jolla, CA, USA.
  • Ryan L Brunsing
    Department of Radiology, Stanford University, Stanford, California.
  • Alexandra Schlein
    Liver Imaging Group, Department of Radiology, University of California San Diego, La Jolla, CA, USA.
  • Armin Schwartzman
    Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA.
  • Albert Hsiao
    Department of Radiology, University of California, San Diego, 9452 Medical Center Dr, 4th Floor, La Jolla, CA 92037 (T.A.R., S.J.K., K.E.J., A.C.Y., S.S.B., L.D.H., A.H.); and Department of Mathematics and Statistics, San Diego State University, San Diego, Calif (K.A.H.).
  • Claude B Sirlin
    Liver Imaging Group, Department of Radiology, University of California San Diego, La Jolla, CA, USA.
  • Katie J Fowler
    Liver Imaging Group, Department of Radiology, University of California San Diego, La Jolla, CA, USA.

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