Computer-aided retinal photocoagulation system

Steven F. Barrett, Cameron H.G. Wright, Maya R. Jerath, R. Stephen Lewis, Bryan C. Dillard, H. Grady Rylander, Ashley J. Welch

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

Researchers at the University of Texas at Austin's Biomedical Engineering Laser Laboratory and the U. S. Air Force Academy's Department of Electrical Engineering are developing a computer-assisted prototype retinal photocoagulation system. The project goal is to rapidly and precisely automatically place laser lesions in the retina for the treatment of disorders such as diabetic retinopathy and retinal tears while dynamically controlling the extent of the lesion. Separate prototype subsystems have been developed to control lesion parameters (diameter or depth) using lesion reflectance feedback and lesion placement using retinal vessels as tracking landmarks. Successful subsystem testing results in vivo on pigmented rabbits using an argon continuous wave laser are presented. A prototype integrated system design to simultaneously control lesion parameters and placement at clinically significant speeds is provided.

Original languageEnglish
Pages (from-to)83-91
Number of pages9
JournalJournal of biomedical optics
Volume1
Issue number1
DOIs
StatePublished - Jan 1996

Keywords

  • Automated surgery
  • Diabetic retinopathy
  • Photocoagulation
  • Retina

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