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Quantitative evaluation of papilledema from stereoscopic color fundus photographs
Journal article   Open access   Peer reviewed

Quantitative evaluation of papilledema from stereoscopic color fundus photographs

Li Tang, Randy H Kardon, Jui-Kai Wang, Mona K Garvin, Kyungmoo Lee and Michael D Abràmoff
Investigative ophthalmology & visual science, Vol.53(8), pp.4490-4497
07/03/2012
DOI: 10.1167/iovs.12-9803
PMCID: PMC3394689
PMID: 22661468
url
https://doi.org/10.1167/iovs.12-9803View
Published (Version of record) Open Access

Abstract

To derive a computerized measurement of optic disc volume from digital stereoscopic fundus photographs for the purpose of diagnosing and managing papilledema. Twenty-nine pairs of stereoscopic fundus photographs and optic nerve head (ONH) centered spectral domain optical coherence tomography (SD-OCT) scans were obtained at the same visit in 15 patients with papilledema. Some patients were imaged at multiple visits in order to assess their changes. Three-dimensional shape of the ONH was estimated from stereo fundus photographs using an automated multi-scale stereo correspondence algorithm. We assessed the correlation of the stereo volume measurements with the SD-OCT volume measurements quantitatively, in terms of volume of retinal surface elevation above a reference plane and also to expert grading of papilledema from digital fundus photographs using the Frisén grading scale. The volumetric measurements of retinal surface elevation estimated from stereo fundus photographs and OCT scans were positively correlated (correlation coefficient r(2) = 0.60; P < 0.001) and were positively correlated with Frisén grade (Spearman correlation coefficient r = 0.59; P < 0.001). Retinal surface elevation among papilledema patients obtained from stereo fundus photographs compares favorably with that from OCT scans and with expert grading of papilledema severity. Stereoscopic color imaging of the ONH combined with a method of automated shape reconstruction is a low-cost alternative to SD-OCT scans that has potential for a more cost-effective diagnosis and management of papilledema in a telemedical setting. An automated three-dimensional image analysis method was validated that quantifies the retinal surface topography with an imaging modality that has lacked prior objective assessment.
Pilot Projects Image Processing, Computer-Assisted Tomography, Optical Coherence Humans Organ Size Papilledema - diagnosis Optic Disk - pathology Photography - methods Diagnostic Techniques, Ophthalmological

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