OCT-OCTA Segmentation

Schottenhamml J, Moult EM, Novais EA, Kraus M, Lee B, Choi W, Ploner S, Husvogt L, Lu CD, Yiu P, Rosenfeld P, Duker JS, Maier A, Waheed NK, Fujimoto JG (2018)


Publication Language: English

Publication Type: Conference contribution, Abstract of a poster

Publication year: 2018

Publisher: Springer Vieweg

City/Town: Berlin

Pages Range: 284-284

Conference Proceedings Title: Bildverarbeitung für die Medizin 2018

Event location: Erlangen DE

ISBN: 978-3-662-56536-0

URI: https://link.springer.com/chapter/10.1007/978-3-662-56537-7_76

DOI: 10.1007/978-3-662-56537-7_76

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.

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How to cite

APA:

Schottenhamml, J., Moult, E.M., Novais, E.A., Kraus, M., Lee, B., Choi, W.,... Fujimoto, J.G. (2018, February). OCT-OCTA Segmentation. Poster presentation at Bildverarbeitung für die Medizin 2018, Erlangen, DE.

MLA:

Schottenhamml, Julia, et al. "OCT-OCTA Segmentation." Presented at Bildverarbeitung für die Medizin 2018, Erlangen Ed. Maier, Andreas Deserno, Thomas Martin Handels, Heinz Maier-Hein, Klaus C., Palm Tolxdorff, Thomas, Berlin: Springer Vieweg, 2018.

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