Towards real-time conformal palliative treatment of spine metastases: A deep learning approach for Hounsfield Unit recovery of cone beam CT images.

Journal: Medical physics
Published Date: Apr 21, 2025

Abstract

BACKGROUND: The extension of onboard cone-beam CT (CBCT) imaging for real-time treatment planning is constrained by limitations in image quality. Synthetic CT (sCT) generation using deep learning provides a potential solution to these limitations.

Authors

  • Mehan Haidari
    Department of Physics, Carleton University, Ottawa, Ontario, Canada.
  • Elsayed Ali
    Department of Physics, Carleton University, Ottawa, Ontario, Canada.
  • Dal Granville
    Department of Medical Physics, Nova Scotia Health Authority, Halifax, Nova Scotia, Canada.

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