Bi Hui,Jiang Yibo,Zhang Qi,et al.Research progress of CT-based multiple modality medical image translation[J].Chinese Journal of Radiological Medicine and Protection,2020,40(11):882-887 |
Research progress of CT-based multiple modality medical image translation |
Received:May 23, 2020 |
DOI:10.3760/cma.j.issn.0254-5098.2020.11.013 |
KeyWords:Acoustic resistance Cross-modal transformation Generative adversarial networks |
FundProject:江苏省高等学校自然科学研究面上项目(19KJB520002);2020年度国家博士后67批面上项目资助(2020M671277) |
Author Name | Affiliation | E-mail | Bi Hui | Department of Radiation Oncology, Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, 213003, China | | Jiang Yibo | Department of Electronic Science and Technology School of Electrical Information Engineering, Changzhou Institute of Technology, 213032, China | | Zhang Qi | Department of Automation, School of Microelectronics and Control Engineering, Changzhou University, 213164, China | | Sui Jianfeng | Department of Radiation Oncology, Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, 213003, China | | Lu Zhengda | Department of Radiation Oncology, Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, 213003, China | | Ni Xinye | Department of Radiation Oncology, Affiliated Changzhou No.2 People's Hospital of Nanjing Medical University, 213003, China | nxy2000@aliyun.com |
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Abstract:: |
Medical images play an important role in clinical diagnosis and treatment. During the radiotherapy, CT can be available for the location and definition of the target volume. The medical images from multiple modalities are used to obtain the information on pathological body from many angles. However, obtaining multiple-modality medical images could be more resource-consuming, and difficult to guarantee the consistency of patients' state. Medical image translation between multiple modalities can achieve the predication from one modality to another. The studies on medical images from multiple modalities such as CT, ultrasound, MRI and PET are reviewed in detail in this paper,, with discussions provided about characteristics of multiple modalities and challenges faced, as well as the research areas to be developed. |
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