Spectrally-based fundus imaging: implications for image enhancement and diagnosis of retinal diseases
| Autor: | P.W. Truitt, Peter Soliz, S. C. Nemeth |
|---|---|
| Rok vydání: | 2001 |
| Předmět: |
medicine.medical_specialty
Retinal Disorder genetic structures Contextual image classification business.industry Retinal Fundus (eye) Image enhancement Drusen medicine.disease eye diseases Spectral imaging chemistry.chemical_compound chemistry Ophthalmology medicine Computer vision sense organs Artificial intelligence business Spectral data |
| Zdroj: | Conference Record of Thirty-Fifth Asilomar Conference on Signals, Systems and Computers (Cat.No.01CH37256). |
| DOI: | 10.1109/acssc.2001.987694 |
| Popis: | This paper demonstrates the utility of spectral imaging for improvement in visualization of pathologic lesions and normal anatomical tissue. Traditional color images produced by current film and digital cameras are limited in the information that is provided to the physician for detecting and subsequently diagnosing retinal disorders. A high-resolution spectral fundus imaging system was developed and tested on human subjects. Spectral images were found to provide new insight into the lesions usually classified by ophthalmologists in terms of color and morphology. Analysis of spectral data had strong correlation to the qualitative classification of drusen; however, there appeared to be subclasses of the same drusen. This finding may lead to a redefinition of drusen classes that could improve correlation of drusen to the risk assessment in epidemiological studies. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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