Eye diseases of young children, if not detected and treated early, can lead to serious vision loss and even blindness. Currently, retinal diseases in young children are mainly recorded and monitored by color photographs, even though they provide limited information about ophthalmic disease processes and mechanisms. As an alternative to the classic 2-D color photographs, novel spectral domain optical coherence tomography (SDOCT) imaging systems can provide 3-D images of intra-retinal structures. In adults, tabletop SDOCT provides significantly more useful diagnostic information and is now a standard for the diagnosis and management of retinal diseases. Our preliminary studies based on handheld SDOCT (HH-SDOCT) snapshots of neonatal retina have already provided some unique and previously unseen information about disease progression in young children. However, due to the infant's head/eye motion, it is extremely cumbersome to effectively image a complete 3-D tomographic view of the macula in young, awake children and accurately measure and quantify disease biomarkers. Our long-term goal is to improve the vision outcomes of at-risk young children with ocular diseases through earlier and better-directed therapy. To achieve this goal, we will take advantage of recent advances in image processing and optics as an integrated technology to capture 3-D retinal images with higher resolution and better motion stability compared to any previous imaging technique, which will ultimately provide quantitative measurements of novel imaging biomarkers of the onset and progression of young children's ophthalmic diseases. We will achieve our objectives by pursuit of the following three specific aims:
Aim 1 : Develop hardware to customize the handheld SDOCT and Doppler-SDOCT systems for retinal imaging of non- sedated young children.
Aim 2 : Develop software to control the hardware in Aim 1 and to automatically analyze the captured images for detecting imaging biomarkers of the onset and progression of retinal diseases in young children.
Aim 3 : Perform a pilot study in adults and young children. Evaluate, provide feedback, and improve the performance of methodologies in Aims 1&2, and then test the utility and validity of images and measurements compared to conventional diagnostic methods. The results of this study have the potential to provide practical diagnostic tools and methodologies that will revolutionize the management of pediatric ocular diseases. This contribution would be significant as the first step in a continuum of research leading to better-directed therapy of ocular diseases in young children based on accurate quantitative measurement of disease imaging biomarkers and accurate staging of foveal development.

Public Health Relevance

Eye diseases of young children, if not detected and treated early, can lead to serious vision loss and even blindness. We propose to develop a technology to adapt spectral domain optical coherence tomography imaging systems, currently widely used for imaging adults, as a novel and efficient ocular disease diagnostic tool in young, awake children.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21EY021321-02
Application #
8404016
Study Section
Special Emphasis Panel (ZRG1-ETTN-E (92))
Program Officer
Shen, Grace L
Project Start
2012-01-01
Project End
2014-12-31
Budget Start
2013-01-01
Budget End
2014-12-31
Support Year
2
Fiscal Year
2013
Total Cost
$181,783
Indirect Cost
$63,033
Name
Duke University
Department
Ophthalmology
Type
Schools of Medicine
DUNS #
044387793
City
Durham
State
NC
Country
United States
Zip Code
27705
LaRocca, Francesco; Nankivil, Derek; Farsiu, Sina et al. (2014) True color scanning laser ophthalmoscopy and optical coherence tomography handheld probe. Biomed Opt Express 5:3204-16
LaRocca, Francesco; Dhalla, Al-Hafeez; Kelly, Michael P et al. (2013) Optimization of confocal scanning laser ophthalmoscope design. J Biomed Opt 18:076015
Hendargo, Hansford C; Estrada, Rolando; Chiu, Stephanie J et al. (2013) Automated non-rigid registration and mosaicing for robust imaging of distinct retinal capillary beds using speckle variance optical coherence tomography. Biomed Opt Express 4:803-21
Larocca, Francesco; Nankivil, Derek; Farsiu, Sina et al. (2013) Handheld simultaneous scanning laser ophthalmoscopy and optical coherence tomography system. Biomed Opt Express 4:2307-21
Fang, Leyuan; Li, Shutao; Nie, Qing et al. (2012) Sparsity based denoising of spectral domain optical coherence tomography images. Biomed Opt Express 3:927-42
Chiu, Stephanie J; Toth, Cynthia A; Bowes Rickman, Catherine et al. (2012) Automatic segmentation of closed-contour features in ophthalmic images using graph theory and dynamic programming. Biomed Opt Express 3:1127-40
Estrada, Rolando; Tomasi, Carlo; Cabrera, Michelle T et al. (2012) Exploratory Dijkstra forest based automatic vessel segmentation: applications in video indirect ophthalmoscopy (VIO). Biomed Opt Express 3:327-39