Purchase this article with an account.
K.A. Vermeer, N.J. Reus, F.M. Vos, A.M. Vossepoel, H.G. Lemij; Automated Detection of Wedge Shaped Defects in Polarimetric Images of the Retinal Nerve Fiber Layer . Invest. Ophthalmol. Vis. Sci. 2003;44(13):3353.
Download citation file:
© ARVO (1962-2015); The Authors (2016-present)
Purpose: To automatically detect wedge shaped defects in polarimetric nerve fiber layer (NFL) images, which might improve automated glaucoma diagnosis. Methods: The NFL images were acquired with a prototype GDx (Laser Diagnostic Technologies, Inc., San Diego, CA), equipped with a variable corneal compensator. We developed an algorithm that transforms the polarimetric image into a polar representation, searches for edges extending to the optic disc and combines opposing edges to form the detected wedge. The edge locating scheme employs a modified dynamic programming technique and favors straight edges. We used 8 images with visible wedges and 37 images without wedges as a test set. The result of the algorithm was compared with expert clinical judgement. View OriginalDownload SlideView OriginalDownload Slide
This PDF is available to Subscribers Only