Conference proceeding
Identification of spectral phenotypes in age-related macular degeneration patients
Proceedings of SPIE, Vol.6426(1), pp.64261I-64261I-11
Ophthalmic Technologies XVII
02/08/2007
DOI: 10.1117/12.701391
Abstract
The purpose of this study is to show that there exists a spectral characteristic that differentiates normal macular tissue from various types of genetic-based macular diseases. This paper demonstrates statistically that hyperspectral images of macular and other retinal tissue can be used to spectrally differentiate different forms of age-related macular degeneration. A hyperspectral fundus imaging device has been developed and tested for the purpose of collecting hyperspectral images of the human retina. A methodology based on partial least squares and ANOVA has been applied to determine the hyperspectral representation of individual spectral characteristics of retinal features. Each discrete tissue type in the retina has an identifiable spectral shape or signature which, when combined with spatial context, aids in detection of pathological features. Variations in the amount and distribution of various ocular pigments or the inclusion of additional biochemical substances will allow detection of pathological conditions prior to traditional histological presentation. Fundus imaging cameras are ubiquitous and are one of the most common imaging modalities used in documenting a patient's retinal state for diagnosis, e.g. remotely, or for monitoring the progression of an ocular disease. The added diagnostic information obtained with only a minor retro-fit of a specialized spectral camera will lead to new diagnostic information to the clinical ophthalmologist or eye-care specialist.
Details
- Title: Subtitle
- Identification of spectral phenotypes in age-related macular degeneration patients
- Creators
- Bert Davis - VisionQuest BiomedicalSteven Russell - Univ. of IowaMichael Abramoff - Univ. of IowaSheila C Nemeth - Eye of the Wolf LLCE. Simon Barriga - ORION International TechnologiesPeter Soliz - VisionQuest Biomedical
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.6426(1), pp.64261I-64261I-11
- Conference
- Ophthalmic Technologies XVII
- DOI
- 10.1117/12.701391
- ISSN
- 0277-786X
- Language
- English
- Date published
- 02/08/2007
- Academic Unit
- Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering; Ophthalmology and Visual Sciences; Fraternal Order of Eagles Diabetes Research Center
- Record Identifier
- 9984060974702771
Metrics
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