OCT-OCTA segmentation: A novel framework and an application to segment Bruch’s Membrane in the presence of Drusen

Julia Schottenhamml, Eric M. Moult, Eduardo A. Novais, Martin F. Kraus, Byung Kun Lee, Woo Jhon Choi, Stefan B. Ploner, Lennart Husvogt, Chen D. Lu, Patrick Yiu, Philip J Rosenfeld, Jay S. Duker, Andreas K. Maier, Nadia Waheed, James G. Fujimoto

Research output: Contribution to journalConference article

Abstract

In this work, a novel paradigm for segmenting optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) is presented [1]. Since it uses OCT and OCTA information jointly it is called “OCT-OCTA segmentation” and its usefulness is demonstrated by segmenting the Bruch’s Membrane (BM) in the presence of drusen. Therefore a fully automatic graph-cut algorithm was developed and evaluated by comparing the automatic segmentation results with manual segmentation in 7 eyes (6 patients; 73.8 ± 5.7 y/o) with nascent geographic atrophy and/or drusen associated geographic atrophy.

Original languageEnglish (US)
Number of pages1
JournalInformatik aktuell
Issue number211279
DOIs
StatePublished - Jan 1 2018

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ASJC Scopus subject areas

  • Modeling and Simulation

Cite this

Schottenhamml, J., Moult, E. M., Novais, E. A., Kraus, M. F., Lee, B. K., Choi, W. J., Ploner, S. B., Husvogt, L., Lu, C. D., Yiu, P., Rosenfeld, P. J., Duker, J. S., Maier, A. K., Waheed, N., & Fujimoto, J. G. (2018). OCT-OCTA segmentation: A novel framework and an application to segment Bruch’s Membrane in the presence of Drusen. Informatik aktuell, (211279). https://doi.org/10.1007/978-3-662-56537-7_76