Visual assessment of distorted view for metamorphopsia patient by interactive line manipulation

Hiromichi Ichige, Masahiro Toyoura, Kentaro Go, Kenji Kashiwagi, Issei Fujishiro, Xiaoyang Mao

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The number of individuals with Age-related Macular Degeneration (AMD) is rapidly increasing. One of the main symptoms of AMD is 'metamorphopsia,' or distorted vision, which not only makes it difficult for individuals with AMD to do detailed-oriented tasks but also makes sufferers more vulnerable to certain risks in day-to-day life. Traditional clinical approaches to assess metamorphopsia have lacked mechanisms for quantifying the degree of distortion in space, making it impossible to know exactly how individuals with the condition see things. This paper proposes a new method for quantifying distortion in space and visualizing AMD patients' distorted views via line manipulation. By visualizing the distorted views stemming from metamorphopsia, the method gives doctors and others an intuitive picture of how patients see the world and thereby enables a broad range of options for treatment and support.

Original languageEnglish
Title of host publicationProceedings - 2019 International Conference on Cyberworlds, CW 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781728122977
Publication statusPublished - 2019 Oct
Event18th International Conference on Cyberworlds, CW 2019 - Kyoto, Japan
Duration: 2019 Oct 22019 Oct 4

Publication series

NameProceedings - 2019 International Conference on Cyberworlds, CW 2019


Conference18th International Conference on Cyberworlds, CW 2019


  • Distorted view
  • Metamorphopsia
  • Vision impaired
  • Visualization for accessibility

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Computer Graphics and Computer-Aided Design
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Media Technology

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