Paper
26 May 1997 Digital imaging-based retinal photocoagulation system
Steven F. Barrett, Cameron H. G. Wright, Erik D. Oberg, Benjamin A. Rockwell, Clarence P. Cain, Henry Grady Rylander III, Ashley J. Welch
Author Affiliations +
Proceedings Volume 2971, Ophthalmic Technologies VII; (1997) https://doi.org/10.1117/12.275102
Event: BiOS '97, Part of Photonics West, 1997, San Jose, CA, United States
Abstract
Researchers at the USAF Academy and the University of Texas are developing a computer-assisted retinal photocoagulation system for the treatment of retinal disorders (i.e. diabetic retinopathy, retinal tears). Currently, ophthalmologists manually place therapeutic retinal lesions, an acquired technique that is tiring for both the patient and physician. The computer-assisted system under development can rapidly and safely place multiple therapeutic lesions at desired locations on the retina in a matter of seconds. Separate prototype subsystems have been developed to control lesion depth during irradiation and lesion placement to compensate for retinal movement. Both subsystems have been successfully demonstrated in vivo on pigmented rabbits using an argon continuous wave laser. Two different design approaches are being pursued to combine the capabilities of both subsystems: a digital imaging-based system and a hybrid analog-digital system. This paper will focus on progress with the digital imaging-based prototype system. A separate paper on the hybrid analog-digital system, `Hybrid Retinal Photocoagulation System', is also presented in this session.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steven F. Barrett, Cameron H. G. Wright, Erik D. Oberg, Benjamin A. Rockwell, Clarence P. Cain, Henry Grady Rylander III, and Ashley J. Welch "Digital imaging-based retinal photocoagulation system", Proc. SPIE 2971, Ophthalmic Technologies VII, (26 May 1997); https://doi.org/10.1117/12.275102
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Cited by 4 scholarly publications.
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KEYWORDS
Reflectivity

Retina

In vivo imaging

Cameras

Video

Computing systems

Argon ion lasers

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