2013-15: Quantitative in-vivo characterization of optical properties of ocular tissue for diagnosis and monitoring of chorioretinal diseases
Despite enormous leaps of improvement of ophthalmic imaging techniques in the last few decades, especially with the introduction of SD-OCT, it is currently still not possible to quantitatively measure optical properties of chorioretinal layers in-vivo. Developing techniques and methods to quantitatively assess these properties in-vivo enables a range of novel analyses and provides direction for future clinical developments leading to better insight in a large range of chorioretinal diseases. This is the main focus of this project. First, we will develop a number of techniques to quantitatively measure scattering properties, polarization properties and spectral signatures of the chorioretinal complex, by novel optical imaging setups and image analysis algorithms. Second, we will evaluate and
validate the correlation of such properties in various chorioretinal diseases.
The objectives of this proposal are summarized as follows:
• To accurately derive and validate the attenuation coefficient from various structures within the chorioretinal OCT data by novel mathematical modeling.
• To develop novel instrumentation to measure and derive polarization-related properties by PSOCT.
• To measure and analyze the spatially-resolved spectral signature of the retina by a multispectral MP-SLO system and to correlate the spectral signatures with the three-dimensional structure as determined by OCT.
• To evaluate the value of these optical properties in diagnosis and monitoring of glaucoma, AMD, central serous retinopathy (CSR), macular edema due to retinal vein occlusions (RVO) and DRP, and various other diseases of the (chorio)retinal complex.
Reaching these objectives will reveal new methods of improving diagnosis (accuracy, sensitivity, reproducibility) and monitoring (progression and treatment) of diseases of the retina, ultimately leading to reduced blindness and loss of vision in an aging population.