Title
Event-based progression detection strategies using scanning laser polarimetry images of the human retina.
Abstract
Monitoring glaucoma patients and ensuring optimal treatment requires accurate and precise detection of progression. Many glaucomatous progression detection strategies may be formulated for Scanning Laser Polarimetry (SLP) data of the local nerve fiber thickness. In this paper, several strategies, all based on repeated GDx VCC SLP measurements, are tested to identify the optimal one for clinical use. The parameters of the methods were adapted to yield a set specificity of 97.5% on real image series. For a fixed sensitivity of 90%, the minimally detectable loss was subsequently determined for both localized and diffuse loss. Due to the large size of the required data set, a previously described simulation method was used for assessing the minimally detectable loss. The optimal strategy was identified and was based on two baseline visits and two follow-up visits, requiring two-out-of-four positive tests. Its associated minimally detectable loss was 5–12μm, depending on the reproducibility of the measurements.
Year
DOI
Venue
2011
10.1016/j.compbiomed.2011.06.022
Computers in Biology and Medicine
Keywords
DocType
Volume
Progression detection,Simulation,Glaucoma,Polarimetry,Optimization,Image processing
Journal
41
Issue
ISSN
Citations 
9
0010-4825
1
PageRank 
References 
Authors
0.34
2
6
Name
Order
Citations
PageRank
Koen A. Vermeer1766.64
Barrick Lo210.34
Qienyuan Zhou331.18
Frans M. Vos413318.49
Albert M. Vossepoel512618.43
Hans Lemij672.05