Textural Feature Analysis of Optical Coherence Tomography Phantoms

Optical coherence tomography (OCT) is an imaging technique based on interferometry of backscattered lights from materials and biological samples. For the quantitative evaluation OCT system, artificial optical samples or phantoms are commonly used. They mimic structure tissues can provide a quality standard for comparison within across devices. Phantoms contain medium matrix scattering particles dimension range target structures such as retina. The aim was to determine if changes in speckle derived texture could be employed classify their structural composition. Four groups phantom types were prepared imaged. These comprise different concentrations (gelatin solution), sized polystyrene beads (PBs), volume PBs refractive indices scatterers (PBs SiO2). Texture analysis applied detect subtle differences image intensity, surface coarseness brightness regions interest. A semi-automated classifier principal component (PCA) support vector machine (SVM) discriminate various models. detected correctly textures 82% 100%, demonstrating that images potentially used light scattering.