Textureless Macula Swelling Detection with Multiple Retinal Fundus Images

Journal Article · Mon Nov 01 04:00:00 EDT 2010 · IEEE Transactions on Biomedical Engineering

DOI:https://doi.org/10.1109/TBME.2010.2095852· OSTI ID:1001733

Giancardo, Luca ^[1]; Meriaudeau, Fabrice ^[1]; Karnowski, Thomas ^[1]; Tobin Jr, Kenneth ^[1]; Grisan, Enrico ^[2]; Favaro, Paolo ^[3]; Ruggeri, Alfredo ^[2]; Chaum, Ed ^[4]

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1. ORNL
2. Universita degli Studi di Padova (University of Padua), Italy
3. Heriot-Watt University, Edinburgh, UK
4. University of Tennessee, Knoxville (UTK)

Retinal fundus images acquired with non-mydriatic digital fundus cameras are a versatile tool for the diagnosis of various retinal diseases. Because of the ease of use of newer camera models and their relatively low cost, these cameras can be employed by operators with limited training for telemedicine or Point-of-Care applications. We propose a novel technique that uses uncalibrated multiple-view fundus images to analyse the swelling of the macula. This innovation enables the detection and quantitative measurement of swollen areas by remote ophthalmologists. This capability is not available with a single image and prone to error with stereo fundus cameras. We also present automatic algorithms to measure features from the reconstructed image which are useful in Point-of-Care automated diagnosis of early macular edema, e.g., before the appearance of exudation. The technique presented is divided into three parts: first, a preprocessing technique simultaneously enhances the dark microstructures of the macula and equalises the image; second, all available views are registered using non-morphological sparse features; finally, a dense pyramidal optical flow is calculated for all the images and statistically combined to build a naiveheight- map of the macula. Results are presented on three sets of synthetic images and two sets of real world images. These preliminary tests show the ability to infer a minimum swelling of 300 microns and to correlate the reconstruction with the swollen location.

• Research Organization: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1001733
• Journal Information: IEEE Transactions on Biomedical Engineering, Journal Name: IEEE Transactions on Biomedical Engineering Journal Issue: 3 Vol. 58
• Country of Publication: United States
• Language: English

Related Subjects

60 APPLIED LIFE SCIENCES
ALGORITHMS
CAMERAS
DIAGNOSTIC TECHNIQUES
DISEASES
EDEMA
IMAGES
RETINA
SWELLING