MedImaging

Download Mobile App
Recent News Radiography MRI Ultrasound Nuclear Medicine General/Advanced Imaging Imaging IT Industry News

New Retinal Imaging Technique Could Revolutionize Eye Care

By MedImaging International staff writers
Posted on 18 Jan 2017
Print article
Image: Ganglion cell layer neurons in the temporal retina from two different human eyes (Photo courtesy of the University of Rochester).
Image: Ganglion cell layer neurons in the temporal retina from two different human eyes (Photo courtesy of the University of Rochester).
A new study describes a non-invasive method to image individual cells in the human retina, which are implicated in the vision loss associated with glaucoma and other diseases.

Researchers at the University of Rochester, the University of Pittsburgh School of Medicine, and other institutions modified adaptive optics scanning light ophthalmoscopy (AOSLO) in order to successfully image somas of neurons within the retinal ganglion cell (RGC) layer in both monkeys and humans. They also showed that the same technique, when applied to the photoreceptor layer, could resolve ambiguity about cone survival in age-related macular degeneration (AMD).

The researchers reported that while currently, the human images did not match the quality of monkey images for safety reasons involving light intensity, the capability to noninvasively image RGC layer neurons in the living eye may one day allow for a better understanding of diseases such as glaucoma, and accelerate the development of therapeutic strategies that aim to protect these cells. This method may also prove useful for imaging other structures, such as neurons in the brain. The study was published on December 6, 2016, in Proceedings of the National Academy of Sciences (PNAS).

“Retinal ganglion cells are the primary output neurons of the retina that process visual information and transmit it to the brain. The death of these cells causes vision loss in glaucoma, the second leading cause of blindness worldwide,” concluded lead author Ethan Rossi, PhD, assistant professor of ophthalmology at Pitt. “The ability to image these cells in the living eye could accelerate our understanding of their role in normal vision and provide a diagnostic tool for evaluating new therapies for retinal disease.”

Although imaging of the living retina with AOSLO provides access to individual photoreceptors, retinal pigment epithelial cells, blood cells in the retinal vasculature, and RGCs, have proven much more challenging to image. The near transparency of inner retinal cells is advantageous for vision, as light must pass through them to reach the photoreceptors, but it has prevented them from being directly imaged in vivo. As a result, glaucoma is currently diagnosed by assessing the thickness of the nerve fibers projecting from the RGCs to the brain.

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Digital Radiography Generator
meX+20BT lite
New
Pre-Op Planning Solution
Sectra 3D Trauma
New
Remote Controlled Digital Radiography and Fluoroscopy System
Eco Track-DRF - MARS 50/MARS50+/MARS 65/MARS 80

Print article

Channels

Ultrasound

view channel
Image: CAM figures of testing images (Photo courtesy of SPJ; DOI:10.34133/research.0319)

Diagnostic System Automatically Analyzes TTE Images to Identify Congenital Heart Disease

Congenital heart disease (CHD) is one of the most prevalent congenital anomalies worldwide, presenting substantial health and financial challenges for affected patients. Early detection and treatment of... Read more

Nuclear Medicine

view channel
Image: Whole-body maximum-intensity projections over time after [68Ga]Ga-DPI-4452 administration (Photo courtesy of SNMMI)

New PET Agent Rapidly and Accurately Visualizes Lesions in Clear Cell Renal Cell Carcinoma Patients

Clear cell renal cell cancer (ccRCC) represents 70-80% of renal cell carcinoma cases. While localized disease can be effectively treated with surgery and ablative therapies, one-third of patients either... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more