Journal article
Segmentation of the Geographic Atrophy in Spectral-Domain Optical Coherence Tomography and Fundus Autofluorescence Images
Investigative ophthalmology & visual science, Vol.54(13), pp.8375-8383
12/30/2013
DOI: 10.1167/iovs.13-12552
PMID: 24265015
Abstract
Purpose: Geographic atrophy (GA) is the atrophic late-stage manifestation of age-related macular degeneration (AMD), which may result in severe vision loss and blindness. The purpose of this study was to develop a reliable, effective approach for GA segmentation in both spectral-domain optical coherence tomography (SD-OCT) and fundus autofluorescence (FAF) images using a level set-based approach and to compare the segmentation performance in the two modalities.
Methods: To identify GA regions in SD-OCT images, three retinal surfaces were first segmented in volumetric SD-OCT images using a double-surface graph search scheme. A two-dimensional (2-D) partial OCT projection image was created from the segmented choroid layer. A level set approach was applied to segment the GA in the partial OCT projection image. In addition, the algorithm was applied to FAF images for the GA segmentation. Twenty randomly chosen macular SD-OCT (Zeiss Cirrus) volumes and 20 corresponding FAF (Heidelberg Spectralis) images were obtained from 20 subjects with GA. The algorithm-defined GA region was compared with consensus manual delineation performed by certified graders.
Results: The mean Dice similarity coefficients (DSC) between the algorithm- and manually defined GA regions were 0.87 ± 0.09 in partial OCT projection images and 0.89 ± 0.07 in registered FAF images. The area correlations between them were 0.93 (P < 0.001) in partial OCT projection images and 0.99 (P < 0.001) in FAF images. The mean DSC between the algorithm-defined GA regions in the partial OCT projection and registered FAF images was 0.79 ± 0.12, and the area correlation was 0.96 (P < 0.001).
Conclusions: A level set approach was developed to segment GA regions in both SD-OCT and FAF images. This approach demonstrated good agreement between the algorithm- and manually defined GA regions within each single modality. The GA segmentation in FAF images performed better than in partial OCT projection images. Across the two modalities, the GA segmentation presented reasonable agreement.
Details
- Title: Subtitle
- Segmentation of the Geographic Atrophy in Spectral-Domain Optical Coherence Tomography and Fundus Autofluorescence Images
- Creators
- Zhihong Hu - Doheny Eye Institute, University of Southern California, Los Angeles, CaliforniaGerard G Medioni - Department of Computer Science, University of Southern California, Los Angeles, CaliforniaMatthias Hernandez - Department of Computer Science, University of Southern California, Los Angeles, CaliforniaAmirhossein Hariri - Doheny Eye Institute, University of Southern California, Los Angeles, CaliforniaXiaodong Wu - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IowaSriniVas R Sadda - Doheny Eye Institute, University of Southern California, Los Angeles, California
- Resource Type
- Journal article
- Publication Details
- Investigative ophthalmology & visual science, Vol.54(13), pp.8375-8383
- DOI
- 10.1167/iovs.13-12552
- PMID
- 24265015
- ISSN
- 1552-5783
- eISSN
- 1552-5783
- Language
- English
- Date published
- 12/30/2013
- Academic Unit
- Electrical and Computer Engineering; Radiation Oncology
- Record Identifier
- 9984047740102771
Metrics
12 Record Views