December 2002
Volume 43, Issue 13
Free
ARVO Annual Meeting Abstract  |   December 2002
A Hyper Spectral Imaging FUndus Camera for the Detection and Characterization of Retinal Lesions
V Papadakis; MP Karavellas; MK Tsilimbaris; C Balas; IG Pallikaris
Author Affiliations & Notes
  • V Papadakis
    Division of Opthalmology VEIC University of Crete School of Medicine Heraklion Crete Greece
  • MP Karavellas
    Division of Opthalmology VEIC University of Crete School of Medicine Heraklion Crete Greece
  • MK Tsilimbaris
    Division of Opthalmology VEIC University of Crete School of Medicine Heraklion Crete Greece
  • C Balas
    Department of Electronic and Computer Engineering Technical University of Crete Chania Crete Greece
  • IG Pallikaris
    Division of Opthalmology VEIC University of Crete School of Medicine Heraklion Crete Greece
  • Footnotes
    Commercial Relationships   V. Papadakis, None; M.P. Karavellas, None; M.K. Tsilimbaris, None; C. Balas, None; I.G. Pallikaris, None.
Investigative Ophthalmology & Visual Science December 2002, Vol.43, 4362. doi:
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      V Papadakis, MP Karavellas, MK Tsilimbaris, C Balas, IG Pallikaris; A Hyper Spectral Imaging FUndus Camera for the Detection and Characterization of Retinal Lesions . Invest. Ophthalmol. Vis. Sci. 2002;43(13):4362.

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Abstract

Abstract: : Purpose: To present an innovative new hyper-spectral imaging fundus camera. Methods:We have developed a new hyper-spectral fundus camera capable to perform in-vivo retinal spectroscopy. This new system can acquire high-resolution spectral images from 400nm to 1000nm with a FWHM of 15nm-25nm and a tuning step of 3nm. Following image capturing, special algorithms are used to perform registration of the eye micro-movement. In combination with a calibration method that has been used to normalize the captured spectral images, a full spectrum per image pixel is achieved. Results:Up to 50 high-resolution spectral images per eye were captured across the visible and infrared part of the spectrum. The need for registration was assessed by evaluating the spatial coordinates of specific features in a series of consecutive images. Measurement of the spectral features of the fundus enabled the evaluation of structural tissue characteristics. This resulted in significant contrast enhancement of various normal and pathological features of diagnostic importance such as retinal vessels, xanthophyll pigment and choroidal neovascularization. Conclusion:This new hyper-spectral fundus camera comprises a new diagnostic and research tool which is capable of providing valuable diagnostic information, quickly and easily. The use of retinal imaging spectroscopy holds the potential to introduce novel clinical diagnostic criteria.

Keywords: 432 imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • 430 imaging/image analysis: clinical • 431 imaging/image analysis: non-clinical 
© 2002, The Association for Research in Vision and Ophthalmology, Inc., all rights reserved. Permission to republish any abstract or part of an abstract in any form must be obtained in writing from the ARVO Office prior to publication.
Copyright © 2025 Association for Research in Vision and Ophthalmology.
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