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Objective and expert-independent validation of retinal image registration algorithms by a projective imaging distortion model
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 1195547
Author(s) Lee, Sangyeol; Reinhardt, Joseph M; Cattin, Philippe C; Abràmoff, Michael D
Author(s) at UniBasel Cattin, Philippe Claude
Year 2010
Title Objective and expert-independent validation of retinal image registration algorithms by a projective imaging distortion model
Journal Medical image analysis
Volume 14
Number 4
Pages / Article-Number 539-49
Abstract Fundus camera imaging of the retina is widely used to diagnose and manage ophthalmologic disorders including diabetic retinopathy, glaucoma, and age-related macular degeneration. Retinal images typically have a limited field of view, and multiple images can be joined together using an image registration technique to form a montage with a larger field of view. A variety of methods for retinal image registration have been proposed, but evaluating such methods objectively is difficult due to the lack of a reference standard for the true alignment of the individual images that make up the montage. A method of generating simulated retinal images by modeling the geometric distortions due to the eye geometry and the image acquisition process is described in this paper. We also present a validation process that can be used for any retinal image registration method by tracing through the distortion path and assessing the geometric misalignment in the coordinate system of the reference standard. The proposed method can be used to perform an accuracy evaluation over the whole image, so that distortion in the non-overlapping regions of the montage components can be easily assessed. We demonstrate the technique by generating test image sets with a variety of overlap conditions and compare the accuracy of several retinal image registration models.
Publisher Elsevier
ISSN/ISBN 1361-8415
edoc-URL http://edoc.unibas.ch/dok/A6005729
Full Text on edoc No
Digital Object Identifier DOI 10.1016/j.media.2010.04.001
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/20493760
Document type (ISI) Journal Article
 
   

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