May 2008
Volume 49, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2008
Retinal Vessel Oximetry Using Hyperspectral Imaging in Retinovascular Disease
Author Affiliations & Notes
  • D. J. Mordant
    Ophthalmology, Gloucestershire Eye Unit, Cheltenham, United Kingdom
  • I. Alabboud
    School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, United Kingdom
  • A. R. Harvey
    School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, United Kingdom
  • A. I. McNaught
    Ophthalmology, Gloucestershire Eye Unit, Cheltenham, United Kingdom
    Cranfield University, Bedfordshire, United Kingdom
  • Footnotes
    Commercial Relationships  D.J. Mordant, None; I. Alabboud, None; A.R. Harvey, Holds related patent., P; A.I. McNaught, None.
  • Footnotes
    Support  dTi Grant APPS2B , Eye Therapy Trust
Investigative Ophthalmology & Visual Science May 2008, Vol.49, 4263. doi:https://doi.org/
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      D. J. Mordant, I. Alabboud, A. R. Harvey, A. I. McNaught; Retinal Vessel Oximetry Using Hyperspectral Imaging in Retinovascular Disease. Invest. Ophthalmol. Vis. Sci. 2008;49(13):4263. doi: https://doi.org/.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract
 
Purpose:
 

Hyperspectral imaging offers a unique non-invasive technique to study retinal chromophores, such as the functional haemoglobin derivatives, relevant to assessing the metabolic status of the retina.This study aims to establish the ability of hyperspectral imaging to detect oximetric changes in the retinal vasculature of patients with retinovascular disease using novel image processing and spectral analysis techniques.

 
Methods:
 

A hyperspectral retinal imaging system consisting of a modified fundus camera, a tuneable filter and a low-noise CCD was used to capture sequential hyperspectral images of the human retina. A hyperspectral data cube with a spectral bandwidth of 500nm to 700nm obtained at wavelength steps of 2nm were acquired for each subject.Normal subjects (n=15) and patients with retinal vein occlusions (n=7), retinal artery occlusions (n=5) and proliferative diabetic retinopathy (n=3) were examined.Reflectance image processing techniques and a linear spectral unmixing algorithm were used to generate oximetric maps of the retinal vasculature.

 
Results:
 

Linear spectral unmixing produced consistent semi-quantitative oximetric maps of the retina in normal subjects (see figure left).In patients with retinovascular disease this technique detected consistent and clinically significant changes in vessel oxygenation principally in the venular circulation of the retina (see figure right).

 
Conclusions:
 

The analysis of hyperspectral retinal images is capable of accurately detecting oximetric changes in the retinal vasculature.The oximetric changes in the venular circulation in the diseased retina suggest either a reduced metabolic demand for oxygen in the retinal tissues or an arterio-venous shunting phenomenon within the retinal circulation.These techniques may be applied to the detection and monitoring of disease progression in patients with diabetic retinopathy and glaucoma.  

 
Keywords: imaging/image analysis: clinical • oxygen • ischemia 
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×