Automated Analysis of Directional Optical Coherence Tomography Images

Authors :: Kate Grieve
Michel Paques
Florence Rossant
Institut Supérieur d'Electronique de Paris (ISEP)
Institut de la Vision
Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Centre Hospitalier National d'Ophtalmologie des Quinze-Vingts (CHNO)
Rossant, Florence
Source :: Image Analysis and Recognition 14th International Conference, ICIAR 2017, Montreal, QC, Canada, July 5–7, 2017, Proceedings, International Conference on Image Analysis and Recognition, International Conference on Image Analysis and Recognition, Jul 2017, Montreal, Canada. ⟨10.1007/978-3-319-59876-5_58⟩, Lecture Notes in Computer Science ISBN: 9783319598758, ICIAR
Publication Year :: 2017
Publisher :: HAL CCSD, 2017.
Abstract: International audience; 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.

Language :: English
ISBN :: 978-3-319-59875-8
ISBNs :: 9783319598758
Database :: OpenAIRE
Journal :: Image Analysis and Recognition 14th International Conference, ICIAR 2017, Montreal, QC, Canada, July 5–7, 2017, Proceedings, International Conference on Image Analysis and Recognition, International Conference on Image Analysis and Recognition, Jul 2017, Montreal, Canada. ⟨10.1007/978-3-319-59876-5_58⟩, Lecture Notes in Computer Science ISBN: 9783319598758, ICIAR
Accession number :: edsair.doi.dedup.....1d6ae6c169d36fd0f014f330d65d44a7
Full Text :: https://doi.org/10.1007/978-3-319-59876-5_58⟩