Automated Analysis of Directional Optical Coherence Tomography Images
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Directional optical coherence tomography (D-OCT) reveals reflectance properties of retinal structures by changing the incidence angle of the light beam. As no commercially available OCT device has been designed for such use, image processing is required to homogenize the grey levels between off-axis images before differential analysis. We describe here a method for automated analysis of D-OCT images and propose a color representation to highlight angle-dependent structures. Clinical results show that the proposed approach is robust and helpful for clinical interpretation.
KeywordsOptical coherence tomography Directional OCT (D-OCT) Retina Ophthalmology Differential analysis Markov random fields
- 6.Makhijani, V.S., Roorda, A., Bayabo, J.-K., et al.: Chromatic visualization of reflectivity variance within hybridized directional OCT images. In: Proceedings of SPIE 8571, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVII, 857105, 20 March, 2013. doi: 10.1117/12.2007141