Deep-learning-based joint rigid and deformable contour propagation for magnetic resonance imaging-guided prostate radiotherapy.

Journal: Medical physics
Published Date: Apr 1, 2024

Abstract

BACKGROUND: Deep learning-based unsupervised image registration has recently been proposed, promising fast registration. However, it has yet to be adopted in the online adaptive magnetic resonance imaging-guided radiotherapy (MRgRT) workflow.

Authors

  • Iris D Kolenbrander
    Medical Image Analysis Group, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
  • Matteo Maspero
    Department of Radiation Oncology, Imaging and Cancer Division, University Medical Center Utrecht, Utrecht, The Netherlands; Computational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Allard A Hendriksen
    Centrum Wiskunde & Informatica (CWI), 1090 GB, Amsterdam, The Netherlands.
  • Ryan Pollitt
    Medical Image Analysis Group, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
  • Jochem R N van der Voort van Zyp
    1 Department of Radiotherapy, University Medical Center Utrecht, Utrecht, the Netherlands.
  • Cornelis A T van den Berg
    Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Josien P W Pluim
    Medical Image Analysis, Department of Biomedical Engineering, Eindhoven University of Technology, The Netherlands.
  • Maureen A J M van Eijnatten
    Medical Image Analysis Group, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.

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