Deep-learning based fast and accurate 3D CT deformable image registration in lung cancer.

Journal: Medical physics
Published Date: Jun 8, 2023

Abstract

BACKGROUND: Deformable Image Registration (DIR) is an essential technique required in many applications of radiation oncology. However, conventional DIR approaches typically take several minutes to register one pair of 3D CT images and the resulting deformable vector fields (DVFs) are only specific to the pair of images used, making it less appealing for clinical application.

Authors

  • Yuzhen Ding
    Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA.
  • Hongying Feng
    Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA.
  • Yunze Yang
    Biodesign Center for Biosensors and Bioelectronics , Arizona State University , Tempe , Arizona 85287 , United States.
  • Jason Holmes
    Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ (Y.H., J.H., S.H.P., N.Y.Y., W.L.); Cornell University, Ithaca, NY (Y.H.); Department of Electric Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA (Y.H.); and Department of Radiation Oncology, Mayo Clinic, Rochester, MN (A.B., E.L.M., D.K.E., D.M.R., S.S., C.L.H., B.E.B., M.W.).
  • Zhengliang Liu
    School of Computing, University of Georgia, Athens, GA, United States.
  • David Liu
    NASA Jet Propulsion Laboratory, Pasadena, CA.
  • William W Wong
    Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona.
  • Nathan Y Yu
    Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ (Y.H., J.H., S.H.P., N.Y.Y., W.L.); Cornell University, Ithaca, NY (Y.H.); Department of Electric Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA (Y.H.); and Department of Radiation Oncology, Mayo Clinic, Rochester, MN (A.B., E.L.M., D.K.E., D.M.R., S.S., C.L.H., B.E.B., M.W.).
  • Terence T Sio
    Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA.
  • Steven E Schild
    Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona.
  • Baoxin Li
    School of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona, USA.
  • Wei Liu
    Department of Radiation Oncology, Mayo Clinic, Scottsdale, AZ, United States.

Keywords

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