Application of deblur technology for improving the clarity of digital subtractive angiography.

Journal: Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences
Published Date: Dec 1, 2022

Abstract

BACKGROUND: Digital subtraction angiography (DSA) is most commonly used in vessel disease examinations and treatments. We aimed to develop a novel deep learning-based method to deblur the large focal spot DSA images, so as to obtain a clearer and sharper cerebrovascular DSA image.

Authors

  • Jiewen Geng
    China International Neuroscience Institute (China-INI), Beijing, China.
  • Pu Zhang
    Department of R&D, Neusoft Medical Systems Co. Ltd, Beijing, China.
  • Yan Xu
    Department of Nephrology, Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, China.
  • Yan Huang
    Department of Neurology, University of Texas Health Science Center at Houston, Houston, TX.
  • Siyu He
    Department of R&D, Neusoft Medical Systems Co. Ltd, Beijing, China.
  • Yadong Wang
    The Biofoundry, Department of Biomedical Engineering, Cornell University, Ithaca, NY, United States.
  • Chuan He
    School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, PR China.
  • Hongqi Zhang
    China International Neuroscience Institute (China-INI), Beijing, China xwzhanghq@163.com qinlan@unionstrongtech.com.

Keywords

External Resources

Popular Topics
Recent Journals