New Paper from Chung Lab

By Eric Craypo

Published in IEEE Transactions on Biomedical Engineering.

A new paper from the Chung lab, "Unifying structure and function towards a comprehensive macular evaluation in eye disorders: A multi-modal approach using microperimetry and optical coherence tomography," has been published in the IEEE Transactions on Biomedical Engineering (TBME) journal. The paper's authors, Rijul S. Soans, Benjamin E. Smith, and Susana T.L. Chung, developed a new automatic framework that can evaluate retinal sub-layer thickness and visual sensitivity at precise retinal locations through multi-modal registration of OCT and microperimetry images.

Statement of Significance

Accurately linking structural changes in the macula to functional impairments remains a significant challenge in ophthalmology. This novel framework enables the precise integration of structural data from optical coherence tomography (OCT) with functional measurements from microperimetry at specific retinal locations. The framework is open-source, user-friendly (has an automatic and manual mode), and can be easily adapted by interested parties for data from other microperimetry and OCT devices. The framework would be a valuable tool for comprehensive structure-function assessment of the macula across various eye disorders.

Full Image

En-face retinal images obtained using (a) MAIA and (b) OCT.

Read the Paper

IEEE Transactions on Biomedical Engineering

Related Information

Susana Chung Profile
Benjamin Smith Profile

About the Image

En-face retinal images obtained using (a) MAIA and (b) OCT. The MAIA image was cropped to the same size as that of the OCT. (c) False-color overlay of the MAIA (shown in magenta) and OCT (shown in green) images after alignment by eye. The MAIA and OCT images are in good alignment in the upper part of the image, but not in the lower part — the blood vessels are clearly not aligned. The three pairs of white arrows highlight three blood vessel bifurcations that are shifted between the MAIA and OCT images. (d) False-color overlay of the co-registration result using our algorithm to align the MAIA and OCT images. The three arrows highlight the same three bifurcations as shown in (c)..