Review
Research progress of CT-based multiple modality medical image translation
Bi Hui, Jiang Yibo, Zhang Qi, Sui Jianfeng, Lu Zhengda, Ni Xinye
Published 2020-11-25
Cite as Chin J Radiol Med Prot, 2020, 40(11): 882-887. DOI: 10.3760/cma.j.issn.0254-5098.2020.11.013
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.
Key words:
Acoustic resistance; Cross-modal transformation; Generative adversarial networks
Contributor Information
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
