Deep learning-based synthetic CT generation for MR-only radiotherapy of prostate cancer patients with 0.35T MRI linear accelerator.

Journal: Journal of applied clinical medical physics
Published Date: Jun 28, 2021

Abstract

PURPOSE: To develop a deep learning model to generate synthetic CT for MR-only radiotherapy of prostate cancer patients treated with 0.35 T MRI linear accelerator.

Authors

  • Reza Farjam
    Department of Radiation Oncology, Weill Cornell Medical College, New York, New York, USA.
  • Himanshu Nagar
    Department of Radiation Oncology, Weill Cornell Medical College, New York, New York, USA.
  • Xi Kathy Zhou
    Public Health Science, Weill Cornell Medical College, New York, New York, USA.
  • David Ouellette
    Department of Radiation Oncology, Weill Cornell Medical College, New York, New York, USA.
  • Silvia Chiara Formenti
    Department of Radiation Oncology, Weill Cornell Medical College, New York, New York, USA.
  • J Keith DeWyngaert
    Department of Radiation Oncology, Weill Cornell Medical College, New York, New York, USA.

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