Robust contour propagation using deep learning and image registration for online adaptive proton therapy of prostate cancer.

Journal: Medical physics
Published Date: Jul 12, 2019

Abstract

PURPOSE: To develop and validate a robust and accurate registration pipeline for automatic contour propagation for online adaptive Intensity-Modulated Proton Therapy (IMPT) of prostate cancer using elastix software and deep learning.

Authors

  • Mohamed S Elmahdy
    Division of Image Processing, Department of Radiology, Leiden University Medical Center, 2300, RC Leiden, The Netherlands.
  • Thyrza Jagt
    Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
  • Roel Th Zinkstok
    Department of Radiation Oncology, Leiden University Medical Center, 2300, RC Leiden, The Netherlands.
  • Yuchuan Qiao
    Division of Image Processing, Department of Radiology, Leiden University Medical Center, 2300, RC, Leiden, The Netherlands.
  • Rahil Shahzad
    Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden PO Box 9600, 2300 RC, The Netherlands. Electronic address: r.shahzad@lumc.nl.
  • Hessam Sokooti
    Division of Image Processing of the Leiden University Medical Center, Leiden, The Netherlands.
  • Sahar Yousefi
    Division of Image Processing, Department of Radiology, Leiden University Medical Center, 2300, RC Leiden, The Netherlands.
  • Luca Incrocci
    Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
  • C A M Marijnen
    Department of Radiation Oncology, Leiden University Medical Center, 2300, RC Leiden, The Netherlands.
  • Mischa Hoogeman
    Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
  • Marius Staring
    Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden PO Box 9600, 2300 RC, The Netherlands.

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