Abstract
This paper presents a disease-oriented evaluation of two recent retinal image registration algorithms, one for aligning pairs of retinal images and one for simultaneously aligning all images in a set. Medical conditions studied include diabetic retinopathy, vein occlusion, and both dry and wet age-related macular degeneration. The multi-image alignment worked virtually flawlessly, missing only 2 of 855 images. Pairwise registration, the Dual-Bootstrap ICP algorithm, worked nearly as well, successfully aligning 99.5% of the image pairs having a sufficient set of common features and 78.5% overall. Images of retinas having an edema and pairs of images taken before and after laser treatment proved the most difficult to register.
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© 2003 Springer-Verlag Berlin Heidelberg
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Tsai, CL., Majerovics, A., Stewart, C.V., Roysam, B. (2003). Disease-Oriented Evaluation of Dual-Bootstrap Retinal Image Registration. In: Ellis, R.E., Peters, T.M. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. MICCAI 2003. Lecture Notes in Computer Science, vol 2878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39899-8_92
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DOI: https://doi.org/10.1007/978-3-540-39899-8_92
Publisher Name: Springer, Berlin, Heidelberg
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