2010 R&D 100 Winner
Early diagnosis of diabetic retinopathy (DR) is vital to preserving the eye sight of a diabetes patient; however, less than half of the diabetes patients in the United States are screened due to cost or limited access to medical specialists. Oak Ridge National Laboratory, Oak Ridge, Tenn. and The Hamilton Eye Institute, Univ. of Tennessee Health Science Center, Memphis, developed a new diagnostic tool, the Telemedical Retinal Image Analysis and Diagnosis (TRIAD) system that enables effective, low-cost DR screening of patients from the office of their primary care physician.
The TRIAD system uses an image analysis and diagnostics software engine to automatically detect anatomic and disease-based structures in the patient’s eye by comparing it to an archive of digital eye images from previously-diagnosed DR patients
The patient’s retinal images, captured using a commercially available retina camera at a local physician’s office, are sent via the Internet to a server where they are compared to the image database to estimate a diagnosis.
Technology
Retinal scanning and diagnosis system
Developers
Oak Ridge National Laboratory
Hamilton Eye Institute, University of Tennessee Health Sciences Center
Development Team
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| (l-r) Thomas Karnowski, Deniz Aykac, Kenneth Tobin, Oak Ridge National Laboratory |
The Telemedical Retinal Image Analysis and Diagnosis (TRIAD) Development Team
Deniz Aykac, Oak Ridge National Laboratory
Edward Chaum, Hamilton Eye Institute, University of Tennessee Health Science
Kenneth W. Tobin, Oak Ridge National Laboratory
Luca Giancardo, Oak Ridge National Laboratory; University of Burgundy, Le Creusot, France
Priya Govindasamy, Previously with Oak Ridge National Laboratory
Thomas P Karnowski, Oak Ridge National Laboratory
Yaqin Li, Hamilton Eye Institute, University of Tennessee Health Science
Kenneth W. Tobin, Oak Ridge National Laboratory
