Towards automated distortion and health correlation for age-related macular degeneration

Adithi D. Chakravarthy, Mahadevan Subramaniam, Parvathi Chundi, Muhammad Hassan, Quan Nguyen

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

1 Scopus citations

Abstract

Visual distortions play a crucial role in early diagnosis and timely treatment of several eye diseases such as the age-related macular degeneration (AMD). A framework to collect quantitative information about visual distortions, map them to the regions of retina where they may originate, and correlate them to retinal health information obtained using clinical tests, is described in this paper. The resulting composite retinal map can enable physicians to diagnose and treat AMD with minimal manual effort. Our results using the system in practice enabled physicians to study the correlation of distortions to retina lesions with minimal manual overheads.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages486-491
Number of pages6
ISBN (Electronic)9781538613245
DOIs
StatePublished - Jul 1 2017
Event17th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2017 - Herndon, United States
Duration: Oct 23 2017Oct 25 2017

Publication series

NameProceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017
Volume2018-January

Other

Other17th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2017
Country/TerritoryUnited States
CityHerndon
Period10/23/1710/25/17

Keywords

  • AMD
  • Healthcare
  • Image Integration

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Biomedical Engineering
  • Modeling and Simulation
  • Health Informatics

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