Title
Detecting Wedge Shaped Defects in Polarimetric Images of the Retinal Nerve Fiber Layer
Abstract
Wedge shaped defects of the retinal nerve fiber layer (RNFL) may occur in glaucoma. Currently, automatic detection of wedge shaped defects in Scanning Laser Polarimetry images of the retinal nerve fiber layer is unavailable; an automatic classification is currently based only on global parameters, thereby ignoring important local information. Our method works by a modified dynamic programming technique that searches for locally strong edges with a preference for straight edges. These edges are initially classified based on their strength and then combined into wedge shaped defects. The results of our method on a limited set of 45 images yields a sensitivity of 88% and a specificity of 92%. More importantly, it shows that it is possible to automatically extract local RNFL defects such as wedges.
Year
Venue
Keywords
2002
MICCAI
important local information,automatic detection,scanning laser polarimetry image,method work,limited set,images yield,detecting wedge shaped defects,global parameter,retinal nerve fiber layer,polarimetric images,local rnfl defect,automatic classification,limit set
Field
DocType
Volume
Computer vision,Glaucoma,Polarimetry,Nerve fiber layer,Computer science,Scanning laser polarimetry,Wedge (mechanical device),Optic disc,Artificial intelligence,Retinal
Conference
2488
ISSN
ISBN
Citations 
0302-9743
3-540-44224-3
0
PageRank 
References 
Authors
0.34
1
4
Name
Order
Citations
PageRank
Koen A. Vermeer1766.64
Frans Vos210611.97
Hans Lemij372.05
Albert M. Vossepoel412618.43