| Sun Hongfei,Ni Xinye,Yang Jianhua.Research on pseudo CT image synthesis technology based on deep learning method and its application in radiotherapy[J].Chinese Journal of Radiological Medicine and Protection,2021,41(3):222-228 |
| Research on pseudo CT image synthesis technology based on deep learning method and its application in radiotherapy |
| Received:October 21, 2020 |
| DOI：10.3760/cma.j.issn.0254-5098.2021.03.012 |
| KeyWords:Deep learning Pseudo CT Image guided radiotherapy |
| FundProject: |
| Author Name | Affiliation | E-mail | | Sun Hongfei | School of Automation, Northwest Polytechnic University, Xi'an 710072, China | | | Ni Xinye | Department of Radiation Oncology, Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, Center for Medical Physics, Nanjing Medical University, Changzhou 213003, China | nxy@njmu.edu.cn | | Yang Jianhua | School of Automation, Northwest Polytechnic University, Xi'an 710072, China | |
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| Abstract:: |
| With the improvement of the complexity of medical image synthesis and the demand for the accuracy of clinical radiotherapy, deep learning algorithm plays an increasingly important role in pseudo CT image synthesis and analysis. This paper classifies and analyzes the pseudo CT image synthesis technology based on deep learning method in terms of the types of image modes, and describes the ongoing application in radiotherapy. |
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