Abstract
Optical coherence tomography angiography has recently been used to visualize choroidal neovascularization (CNV) in participants with age-related macular degeneration. Identification and quantification of CNV area is important clinically for disease assessment. An automated algorithm for CNV area detection is presented in this article. It relies on denoising and a saliency detection model to overcome issues such as projection artifacts and the heterogeneity of CNV. Qualitative and quantitative evaluations were performed on scans of 7 participants. Results from the algorithm agreed well with manual delineation of CNV area.
Original language | English (US) |
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Article number | A018 |
Pages (from-to) | 3564-3575 |
Number of pages | 12 |
Journal | Biomedical Optics Express |
Volume | 6 |
Issue number | 9 |
DOIs | |
State | Published - Aug 25 2015 |
ASJC Scopus subject areas
- Biotechnology
- Atomic and Molecular Physics, and Optics