Retinopathy Diagnosis Software: Software for Automatically Segmenting Blood Vessels from OCT and OCT-A Scans
- Detailed Technology Description
- Researchers at the University of Louisville have developed an automatic segmentation system for retinal blood vessels from Optical CoherenceTomography (OCT) images and Optical Coherence Tomography Angiography (OCT-A) images.
- *Abstract
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Retinopathy Diagnosis Software
Software for Automatically Segmenting Blood Vessels from OCT and OCT-A Scans
RDF #15011 and #17064
Highlights
May aid early diagnosis of many diseases;
Extracts the whole retinal vasculature network from OCT and OCT-A images;
Integrates different image features to produce high accuracy results;
May provide more quantitative information than other modalities.
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Technology
More than 200 million people worldwide suffer from blindness or low vision due to retinal conditions, such as retinal vascular diseases. [1]
Many people often do not have symptoms until very late in their disease course, when there is irreversible damage. [2] Hence, there is an urgent need for early diagnosis of retinal vascular diseases, which improves the chance of recovering vision.
To address that need, researchers at the University of Louisville have developed an automatic segmentation system for retinal blood vessels from Optical CoherenceTomography (OCT) images and Optical Coherence Tomography Angiography (OCT-A) images.
Segmentation of retinal blood vessels is a powerful method for diagnosis of retinal vascular diseases.
Currently, most eye-imaging technologies provide limited objective quantitative data, requiring an eye specialist must subjectively interpret images.
The UofL technology overcomes this limitation and provides quantitative, detailed information about the retina and blood flow by measuring the reflecting unit of each retina layer.
There is widespread use for the technology in diagnosis of numerous pathologies, including macular degeneration, central/branch vein occlusion, and diabetic retinopathy.
Additionally, there is potential for using the technology in the evaluation of the visual outcome for patients undergoing vitreoretinal surgeries.
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Current Status
- IP Status: Patents pending PCT/US2016/020280
- Development Status: Software developed and tested with positive results
- Fields of Use Available: All
- Publications: Eladawi, Nabila, et al. "Automatic blood vessels segmentation based on different retinal maps from OCTA scans." Computers in biology and medicine 89 (2017): 150-161.
- Schaal, Shlomit, et al. "A novel automated method for the objective quantification of Retinal layers reveals sequential changes that occur in the Normal retina with age."
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Inventors
• Ayman S. El-Baz, Ph.D.
• Shlomit Schaal, M.D., Ph.D.• Nabila Eladawi
• Harpal Sandhu, M.D.
• Mohammed Elmogy, Ph.D.
• Amir Reza Hajrasouliha, M.D.
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MORE INFORMATION: thinker@louisville.edu / 502.852.2965 / Attn.: RDF#15011 and #17064
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*This Technology is available for licensing, further development, or industrial partnering*
- Country/Region
- USA
