Communication Dans Un Congrès Année : 2017

Automated Analysis of Directional Optical Coherence Tomography Images

Résumé

Directional optical coherence tomography (D-OCT) reveals reflec-tance 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.

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hal-02559304 , version 1 (18-06-2020)

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Florence Rossant, Kate Grieve, Michel Paques. Automated Analysis of Directional Optical Coherence Tomography Images. International Conference on Image Analysis and Recognition, Jul 2017, Montreal, Canada. ⟨10.1007/978-3-319-59876-5_58⟩. ⟨hal-02559304⟩
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