Prediction of hematoma changes in spontaneous intracerebral hemorrhage using a Transformer-based generative adversarial network to generate follow-up CT images.

Journal: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Published Date:

Abstract

PURPOSE: To visualize and assess hematoma growth trends by generating follow-up CT images within 24 h based on baseline CT images of spontaneous intracerebral hemorrhage (sICH) using Transformer-integrated Generative Adversarial Networks (GAN).

Authors

  • Changfeng Feng
    Department of Radiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, No. 261, Huansha Road, Hangzhou, Zhejiang, China.
  • Caiwen Jiang
    School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
  • Chenxi Hu
    National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China. Electronic address: chenxi.hu@sjtu.edu.cn.
  • Shuaihang Kong
    Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, China; The First School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
  • Ziyi Ye
    The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, Zhejiang Province, China.
  • Jing Han
    Key Laboratory of Combinatorial Biosynthesis and Drug Discovery (Wuhan University), Ministry of Education; School of Pharmaceutical Sciences, Wuhan University, Wuhan 430071, China.
  • Kai Zhong
    Hefei National Laboratory for Physical Sciences at the Microscale, CAS Center for Excellence in Nanoscience, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei, Anhui 230026, People's Republic of China.
  • Tingting Yang
    School of Life Sciences, Nanjing University, State Key Laboratory of Pharmaceutical Biotechnology, Nanjing 210000, China.
  • Hongmei Yin
    Institute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen, People's Republic of China.
  • Qun Lao
    Department of Radiology, Hangzhou Children's Hospital, Hangzhou, Zhejiang, China.
  • Zhongxiang Ding
  • Dinggang Shen
    School of Biomedical Engineering, ShanghaiTech University, Shanghai, China.
  • Qijun Shen
    Department of Radiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, No. 261, Huansha Road, Hangzhou, Zhejiang, China. shenqijun80@163.com.