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New Laser to Provide High-Resolution 3D Images of the Retina
In efforts that may improve diagnoses of many eye diseases, researchers will introduce a new type of laser for providing high-resolution 3D images of the retina, the part of the eye that converts light to electrical signals that travel to the brain. The retinal imaging is performed with an emerging method called optical coherence tomography (OCT), which uses light to obtain high-resolution images of the eye, even for structures that lie beneath the surface like the retina.
Conventional OCT imaging typically yields a series of two-dimensional cross-sectional images of the retina, which can be combined to form a 3D image of its volume. Even more helpful for diagnosing disease would be to obtain very-high-resolution three-dimensional views of the eye. Limited imaging speeds and involuntary eye motion (such as blinking) make it difficult to perform 3D imaging of the retinal volume.
In ophthalmology applications, OCT systems work by scanning light back and forth across the eye, tracing thin, micrometer-scale lines that row by row build up high-resolution images. Commercial systems scan the eye at rates ranging from several hundred to several thousand lines per second. A typical patient can only keep the eye still for about one second, limiting the amount of three-dimensional data that can be acquired.
Robert Huber (now at Ludwig Maximilians University in Germany) and colleagues at MIT have reported retinal scans at record speeds of up to 236,000 lines per second, a factor of 10 improvement over current OCT technology. With their technique, which uses a frequency-tunable laser to achieve fast scan speeds, they obtained a 3D retinal image consisting of 512x512x400 volume elements of data in a human subject in just 0.87 seconds.
Future clinical studies, as well as further development, may someday enable ophthalmologists to routinely obtain three-dimensional "OCT snapshots" of the eye, containing comprehensive volumetric information about the microstructure of the retina. Such snapshots could potentially improve diagnoses of retinal diseases such as diabetic retinopathy, glaucoma and age-related macular degeneration.