Deep learning-based fast volumetric imaging using kV and MV projection images for lung cancer radiotherapy: A feasibility study.

Journal: Medical physics
Published Date: Mar 24, 2023

Abstract

PURPOSE: The long acquisition time of CBCT discourages repeat verification imaging, therefore increasing treatment uncertainty. In this study, we present a fast volumetric imaging method for lung cancer radiation therapy using an orthogonal 2D kV/MV image pair.

Authors

  • Yang Lei
    Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322.
  • Zhen Tian
    School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150001, People's Republic of China.
  • Tonghe Wang
    Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322.
  • Justin Roper
    Radiology Oncology, Emory University, 1365 Clifton Road, Department of Radiation Oncology, Atlanta, Atlanta, Georgia, 30322, UNITED STATES.
  • Huiqiao Xie
    Department of Radiation Oncology, Emory University, Atlanta, GA, United States of America.
  • Aparna H Kesarwala
    Department of Radiation Oncology, Winship Cancer Institute of Emory University, Atlanta, GA, United States of America.
  • Kristin Higgins
    Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, 30322, USA.
  • Jeffrey D Bradley
    Department of Radiation Oncology, Washington University School of Medicine, Saint Louis, Missouri.
  • Tian Liu
    Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322, USA.
  • Xiaofeng Yang
    Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322, USA.

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