Realistic CT data augmentation for accurate deep-learning based segmentation of head and neck tumors in kV images acquired during radiation therapy.

Journal: Medical physics
Published Date: Apr 17, 2023

Abstract

BACKGROUND: Using radiation therapy (RT) to treat head and neck (H&N) cancers requires precise targeting of the tumor to avoid damaging the surrounding healthy organs. Immobilisation masks and planning target volume margins are used to attempt to mitigate patient motion during treatment, however patient motion can still occur. Patient motion during RT can lead to decreased treatment effectiveness and a higher chance of treatment related side effects. Tracking tumor motion would enable motion compensation during RT, leading to more accurate dose delivery.

Authors

  • Mark Gardner
    ACRF Image X Institute, The University of Sydney, Eveleigh, New South Wales, Australia.
  • Youssef Ben Bouchta
    ACRF Image X Institute, The University of Sydney, Eveleigh, New South Wales, Australia.
  • Adam Mylonas
    Faculty of Medicine and Health, ACRF Image X Institute, The University of Sydney, Sydney, NSW, Australia.
  • Marco Mueller
    ACRF Image X Institute, The University of Sydney, Eveleigh, New South Wales, Australia.
  • Chen Cheng
    Stomatology Hospital, School of Stomatology, Zhejiang University School of Medicine, Zhejiang Provincial Clinical Research Center for Oral Diseases, Key Laboratory of Oral Biomedical Research of Zhejiang Province, Cancer Center of Zhejiang University, Hangzhou 310006, China.
  • Phillip Chlap
    South Western Sydney Clinical School, University of New South Wales, Sydney, New South Wales, Australia.
  • Robert Finnegan
    Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia.
  • Jonathan Sykes
    Blacktown Cancer & Haematology Centre, Blacktown Hospital, Sydney, New South Wales, Australia.
  • Paul J Keall
    Image X Institute, University of Sydney, Sydney, Australia. Electronic address: paul.keall@sydney.edu.au.
  • Doan Trang Nguyen
    Faculty of Medicine and Health, ACRF Image X Institute, The University of Sydney, Sydney, NSW, Australia.

Keywords

External Resources

Popular Topics
Recent Journals