
Photographs of the power grip style (A-B) and camcorder style designs (C-D) of the prototype OCT scanner. Both devices acquire 3D OCT images of the retina. Credit: Biomedical Optics Express
A new optical device puts the power to detect eye disease in the palm of a hand.
The tool—about the size of a hand-held video camera—scans a patient’s entire retina in seconds and could aid primary care physicians in the early detection of a host of retinal diseases including diabetic retinopathy, glaucoma and macular degeneration. Researchers at the Massachusetts Institute of Technology (MIT) describe their new ophthalmic-screening instrument in a paper published today in the open-access journal Biomedical Optics Express, published by The Optical Society (OSA).
Although other research groups and companies have created hand-held devices using similar technology, the new design is the first to combine cutting-edge technologies such as ultrahigh-speed 3-D imaging, a tiny micro-electro-mechanical systems (MEMS) mirror for scanning, and a technique to correct for unintentional movement by the patient. These innovations, the authors say, should allow clinicians to collect comprehensive data with just one measurement.
Normally, to diagnose retinal diseases, an ophthalmologist or optometrist must examine the patient in his or her office, typically with table-top instruments. However, few people visit these specialists regularly. To improve public access to eye care, the MIT group, in collaboration with the University of Erlangen and Praevium/Thorlabs, has developed a portable instrument that can be taken outside a specialist’s office.
“Hand-held instruments can enable screening a wider population outside the traditional points of care,” said researcher James Fujimoto of MIT, an author on the Biomedical Optics Express paper. For instance, they can be used at a primary-care physician’s office, a pediatrician’s office or even in the developing world.
How it Works
The instrument uses a technique called optical coherence tomography (OCT), which the MIT group and collaborators helped pioneer in the early 1990s. The technology sends beams of infrared light into the eye and onto the retina. Echoes of this light return to the instrument, which uses interferometry to measures changes in the time delay and magnitude of the returning light echoes, revealing the cross sectional tissue structure of the retina—similar to radar or ultrasound imaging. Tabletop OCT imagers have become a standard of care in ophthalmology, and current generation hand-held scanners are used for imaging infants and monitoring retinal surgery.
The researchers were able to shrink what has been typically a large instrument into a portable size by using a MEMS mirror to scan the OCT imaging beam. They tested two designs, one of which is similar to a handheld video camera with a flat-screen display. In their tests, the researchers found that their device can acquire images comparable in quality to conventional table-top OCT instruments used by ophthalmologists.
To deal with the motion instability of a hand-held device, the instrument takes multiple 3-D images at high speeds, scanning a particular volume of the eye many times but with different scanning directions. By using multiple 3-D images of the same part of the retina, it is possible to correct for distortions due to motion of the operator’s hand or the subject’s own eye. The next step, Fujimoto said, is to evaluate the technology in a clinical setting. But the device is still relatively expensive, he added, and before this technology finds its way into doctors’ offices or in the field, manufacturers will have to find a way to support or lower its cost.
Why Early Screening is Important
Many people with eye diseases may not even be aware of them until irreversible vision loss occurs, Fujimoto said. Screening technology is important because many eye diseases should be detected and treated long before any visual symptoms arise. For example, in a 2003 Canadian study of nearly 25,000 people, almost 15 percent were found to have eye disease—even though they showed no visual symptoms and 66.8 percent of them had a best-corrected eyesight of 20/25 or better. Problems with undetected eye disease are exacerbated with the rise of obesity and undiagnosed diabetes, Fujimoto said. The Center for Disease Control and Prevention estimates that 11.3 percent of the U.S. population over the age of 20 has diabetes, even though many do not know it.
The Latest on: Eye Disease Detection
[google_news title=”” keyword=”Eye Disease Detection” num_posts=”10″ blurb_length=”0″ show_thumb=”left”]
via Google News
The Latest on: Eye Disease Detection
- AI System Outperforms Standard Review of Imaging for Retinal Diseaseon September 26, 2023 at 7:49 am
"The ability of the current system to detect diabetic eye disease is better than human graders or the automated system currently used in Scotland." "Automated grading potentially will increase the ...
- Eye Care Market Size, Share, Trends, Growth 2023-2031on September 25, 2023 at 4:17 am
These examinations can help detect vision issues, assess eye health, and identify any underlying eye diseases or conditions. In addition to regular check-ups, eye care involves various preventive ...
- AI-Doctor's accuracy in retinal disease detection redefines medical diagnosison September 25, 2023 at 2:56 am
An advanced artificial Intelligence (AI) system designed to interpret fundus fluorescein angiography (FFA) images precisely.
- AI healthcare model to ‘supercharge’ detection of illness from eye testson September 24, 2023 at 10:19 am
The release of RETFound comes after a team led by Prof Keane found eye scans powered by AI could be used as a tool to detect Parkinson’s disease. The study by Moorfields Eye Hospital and the UCL ...
- New AI tool can accurately diagnose eye conditions, could help detect Parkinson'son September 22, 2023 at 3:00 am
An innovative, newly devised AI model can accurately detect eye conditions, such as glaucoma, and could, in future, help speed up the detection of systemic health issues, such as Parkinson's disease.
- Advances in Eye Scans and Protein Structure Win 2023 Lasker Awardson September 21, 2023 at 6:00 am
This year’s awards were given to scientists who helped doctors see the retina and used artificial intelligence to predict the shapes of cellular proteins.
- AI healthcare model to ‘supercharge’ detection of illness from eye testson September 19, 2023 at 9:36 am
an AI model that is trained to detect sight-threatening illnesses, as well as predicting conditions such as diabetic eye disease, glaucoma, Parkinson’s disease, heart attacks and stroke. It is hoped ...
- AI healthcare model to ‘supercharge’ detection of illness from eye testson September 19, 2023 at 3:23 am
an AI model that is trained to detect sight-threatening illnesses, as well as predicting conditions such as diabetic eye disease, glaucoma, Parkinson’s disease, heart attacks and stroke. It is hoped ...
- AI healthcare model to ‘supercharge’ detection of illness from eye testson September 19, 2023 at 3:18 am
The release of RETFound comes after a team led by Prof Keane found eye scans powered by AI could be used as a tool to detect Parkinson’s disease. The study by Moorfields Eye Hospital and the UCL ...
- AI healthcare model to ‘supercharge’ detection of illness from eye testson September 19, 2023 at 3:17 am
The release of RETFound comes after a team led by Prof Keane found eye scans powered by AI could be used as a tool to detect Parkinson’s disease. The study by Moorfields Eye Hospital and the UCL ...
via Bing News