Abstract
Purpose: :
Speckle pattern interferometry (SPI) utilizes light reflected off an optically rough surface interfering with a reference light field to create a speckled pattern image. Every given point in the speckle pattern has contributions from the entire scattered surface, yielding an imaging modality sensitive enough to detect nanometer deformation of surfaces. These images are then processed by digital image correlation (DIC) software to generate stress/strain analysis. Our goal is to develop a novel imaging modality by leveraging SPI technology to perform stress/strain analysis along the retinal surface. We also aim to evaluate the efficacy of DIC on spectral-domain OCT images in predicting future retinal structural changes prior to actual manifestation.
Methods: :
Our study aims to first apply DIC analysis on normal spectral-domain OCT images of patients with documented progression to vitreomacular traction syndrome to determine if alternative image processing analysis is able to extract predictive information on normal appearing high resolution OCT images. We also modify a slitlamp biomicroscope with current commercial grade electronic SPI equipment to permit stress/strain analysis along the retinal surface. Fresh post-mortem porcine eyes will be used for pilot testing in determining the optical roughness surface and to quantify the precision and sensitivity of this new optical modality on porcine retinal deformation.
Results: :
Results to be reported.
Conclusions: :
We report an initial pilot technology at analyzing the stress/strain profiles of the retinal surface in an animal model. We hope to further refine this modality for human applications. This modality may offer clinicians earlier insight into vitreomacular traction prior to structural morphologic changes detected by current OCT technology. Furthermore, this could yield a potential useful tool to not only study macular hole formation but also provide insight when membrane peeling is beneficial in macular surgery failures, macular puckers, or diabetic macular edema.
Keywords: imaging/image analysis: clinical • retina • imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound)