Fully automated convolutional neural network-based affine algorithm improves liver registration and lesion co-localization on hepatobiliary phase T1-weighted MR images.

Journal: European radiology experimental
Published Date: Oct 26, 2019

Abstract

BACKGROUND: Liver alignment between series/exams is challenged by dynamic morphology or variability in patient positioning or motion. Image registration can improve image interpretation and lesion co-localization. We assessed the performance of a convolutional neural network algorithm to register cross-sectional liver imaging series and compared its performance to manual image registration.

Authors

  • 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.).
  • Guilherme Moura Cunha
    Liver Imaging Group, Department of Radiology, University of California San Diego, La Jolla, CA, USA. gcunha@ucsd.edu.
  • Atsushi Higaki
    Liver Imaging Group, Department of Radiology, University of California San Diego, La Jolla, CA, USA.
  • Shintaro Ichikawa
    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.
  • Leornado Kayat Bittencourt
    Abdominal and Pelvic MRI, Radiology, CDPI Clinics, DASA Company, Fluminense Federal University (UFF), Rio de Janeiro, Brazil.
  • Armin Schwartzman
    Department of Family Medicine and Public Health, 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.
  • 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.

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