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Proceedings Paper

Anatomically constrained maximum likelihood estimation for estimating retinal thickness from scanning laser ophthalmoscope data
Author(s): Tim Holmes; Brian Northan; Gerhard Zinser; Natalie Hutchings; Ying Li; Dirk-Uwe Bartsch; John Flanagan
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Paper 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.

Paper Details

Date Published: 29 March 2007
PDF: 11 pages
Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 651419 (29 March 2007); doi: 10.1117/12.709453
Show Author Affiliations
Tim Holmes, Lickenbrock Technologies, LLC (United States)
Brian Northan, Lickenbrock Technologies, LLC (United States)
Gerhard Zinser, Heidelberg Engineering GmbH (Germany)
Natalie Hutchings, Univ. of Waterloo (Canada)
Ying Li, Univ. of Waterloo (Canada)
Dirk-Uwe Bartsch, Univ. of California, San Diego (United States)
John Flanagan, Univ. of Waterloo (Canada)
Univ. of Toronto (Canada)

Published in SPIE Proceedings Vol. 6514:
Medical Imaging 2007: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

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