Analyzing OCT images of age-related macular degeneration patients to identify spatial health correlations
- Resource Type
- Conference
- Authors
- Go, Susannah; Chundi, Parvathi; Subramaniam, Mahadevan; Margalit, Eyal
- Source
- 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE. :8127-8130 Aug, 2015
- Subject
- Engineered Materials, Dielectrics and Plasmas
Image segmentation
Image color analysis
Medical services
Retina
Silicon
Gold
Standards
- Language
- ISSN
- 1094-687X
1558-4615
An approach to automatically group age-related macular degeneration (AMD) patients having similar retinal health profiles by clustering Optical Coherence Tomography (OCT) images is described. Spatial health patterns within and across profiles are discovered by identifying segments of images that have similar levels of health in a given retina region. Segmentations of various sizes are considered and the segmentation where the segment similarity most closely matches the discovered health profiles is used to identify health patterns. Our experiments with OCT images of 10 AMD patients show that - i) health profiles generated by clustering closely correspond to those identified by a physician expert, ii) a rich set of spatial patterns can be discovered within and across profiles using regular image segmentation, and iii) new images can be successfully classified into existing profiles so that physicians can provide effective profile-based treatments.