Disease-Oriented Evaluation of Dual-Bootstrap Retinal Image Registration

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.

• Type: Conference
• Year: 2003
• Where: MICCAI
• Authors: Chia-Ling Tsai, Anna Majerovics, Charles V. Stewart, Badrinath Roysam
• Keywords: Age-related Macular Degeneration, Medical Imaging, MICCAI 2003, Retinal Image Registration, Retinal Images