Paper
29 March 2007 Anatomically constrained maximum likelihood estimation for estimating retinal thickness from scanning laser ophthalmoscope data
Tim Holmes, Brian Northan, Gerhard Zinser, Natalie Hutchings, Ying Li, Dirk-Uwe Bartsch, John Flanagan
Author Affiliations +
Abstract
A multistage algorithm is presented, whose components are based upon maximum likelihood estimation (MLE). From 3D scanning laser ophthalmoscope (SLO) image data, the algorithm finds the positions of the two anatomical boundaries of the eye's fundus that define the retina, which are the internal limiting membrane (ILM) and the retinal pigment epithelium (RPE). he retinal thickness is then calculated by subtraction. Retinal thickness is useful for indicating, assessing risk of, and following several diseases, including various forms of macular edema and cysts.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tim Holmes, Brian Northan, Gerhard Zinser, Natalie Hutchings, Ying Li, Dirk-Uwe Bartsch, and John Flanagan "Anatomically constrained maximum likelihood estimation for estimating retinal thickness from scanning laser ophthalmoscope data", Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 651419 (29 March 2007); https://doi.org/10.1117/12.709453
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KEYWORDS
Optical coherence tomography

Scanning laser ophthalmoscopy

Eye

Retina

Point spread functions

Scanning laser ophthalmoscopes

Algorithm development

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