Abstract: 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; ByungKun Lee; WooJhon 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

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

Book chapter

Abstract: 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, ByungKun Lee, WooJhon Choi, Stefan B Ploner, Lennart Husvogt, Chen D Lu, Patrick Yiu, …

Bildverarbeitung für die Medizin 2018, pp.284-284

Informatik aktuell, Springer Berlin Heidelberg

2018-02-21

DOI: https://doi.org/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.

Metrics

9 Record Views

Details

Title: Abstract: OCT-OCTA Segmentation
Creators: Julia Schottenhamml - Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Deutschland
Eric M Moult - Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, USA
Eduardo A Novais - Department of Ophthalmology, Federal University of Sao Paulo, Sao Paulo, Brasilien
Martin F Kraus - Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Deutschland
ByungKun Lee - Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, USA
WooJhon Choi - Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, USA
Stefan B Ploner - Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Deutschland
Lennart Husvogt - Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Deutschland
Chen D Lu - Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, USA
Patrick Yiu - Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, USA
Philip J Rosenfeld - Department of Ophthalmology, University of Miami Miller School of Medicine, Miami, USA
Jay S Duker - New England Eye Center, Tufts Medical Center, Boston, USA
Andreas K Maier - Pattern Recognition Lab, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Deutschland
Nadia Waheed - New England Eye Center, Tufts Medical Center, Boston, USA
James G Fujimoto - Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, USA
Publication Details: Bildverarbeitung für die Medizin 2018, pp.284-284
Series: Informatik aktuell
Publisher: Springer Berlin Heidelberg; Berlin, Heidelberg
Academic Unit: Miller School of Medicine; UMMG Department of Ophthalmology
Language: German
Resource Type: Book chapter
Record Identifier: 991031598941602976