Wang Ziyi,Sun Jiawei,Zhang Sai,Zhang Heng,Ni Xinye.Research on con-beam CT images segmentation method[J].Chinese Journal of Radiological Medicine and Protection,2023,43(1):73-77
Research on con-beam CT images segmentation method
Received:September 27, 2022  
DOI:10.3760/cma.j.cn112271-20220927-00392
KeyWords:Cone beam CT  Image segmentation  Deep learning
FundProject:江苏省重点研发计划社会发展项目(BE2022720);江苏省卫健委面上项目(M2020006)
Author NameAffiliationE-mail
Wang Ziyi Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Center of Medical Physics, Nanjing Medical University, Jiangsu Province Engineering Research Center of Medical Physics, Changzhou 213003, China  
Sun Jiawei Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Center of Medical Physics, Nanjing Medical University, Jiangsu Province Engineering Research Center of Medical Physics, Changzhou 213003, China  
Zhang Sai Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Center of Medical Physics, Nanjing Medical University, Jiangsu Province Engineering Research Center of Medical Physics, Changzhou 213003, China  
Zhang Heng Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Center of Medical Physics, Nanjing Medical University, Jiangsu Province Engineering Research Center of Medical Physics, Changzhou 213003, China  
Ni Xinye Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Center of Medical Physics, Nanjing Medical University, Jiangsu Province Engineering Research Center of Medical Physics, Changzhou 213003, China nxy@njmu.edu.cn 
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Abstract::
      Image-guided radiation therapy (IGRT) is a visual image-guided radiotherapy technique that has many advantages such as increasing the dose of tumor target area and reducing the dose of normal organ exposure. Cone beam CT (CBCT) is one of the most commonly used medical images in IGRT, and the rapid and accurate targeting of CBCT and the segmentation of dangerous organs are of great significance for radiotherapy. The current research method mainly includes partitioning method based on registration and segmentation method based on deep learning. This study reviews the CBCT image segmentation method, existing problems and development directions.
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