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Proceedings Paper

Feature-based pairwise retinal image registration by radial distortion correction
Author(s): Sangyeol Lee; Michael D. Abràmoff; Joseph M. Reinhardt
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Paper Abstract

Fundus camera imaging is widely used to document disorders such as diabetic retinopathy and macular degeneration. Multiple retinal images can be combined together through a procedure known as mosaicing to form an image with a larger field of view. Mosaicing typically requires multiple pairwise registrations of partially overlapped images. We describe a new method for pairwise retinal image registration. The proposed method is unique in that the radial distortion due to image acquisition is corrected prior to the geometric transformation. Vessel lines are detected using the Hessian operator and are used as input features to the registration. Since the overlapping region is typically small in a retinal image pair, only a few correspondences are available, thus limiting the applicable model to an afine transform at best. To recover the distortion due to curved-surface of retina and lens optics, a combined approach of an afine model with a radial distortion correction is proposed. The parameters of the image acquisition and radial distortion models are estimated during an optimization step that uses Powell's method driven by the vessel line distance. Experimental results using 20 pairs of green channel images acquired from three subjects with a fundus camera confirmed that the afine model with distortion correction could register retinal image pairs to within 1.88±0.35 pixels accuracy (mean ± standard deviation) assessed by vessel line error, which is 17% better than the afine-only approach. Because the proposed method needs only two correspondences, it can be applied to obtain good registration accuracy even in the case of small overlap between retinal image pairs.

Paper Details

Date Published: 8 March 2007
PDF: 10 pages
Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 651220 (8 March 2007); doi: 10.1117/12.710676
Show Author Affiliations
Sangyeol Lee, The Univ. of Iowa (United States)
Michael D. Abràmoff, The Univ. of Iowa (United States)
Veteran's Administration Medical Ctr. (United States)
Joseph M. Reinhardt, The Univ. of Iowa (United States)

Published in SPIE Proceedings Vol. 6512:
Medical Imaging 2007: Image Processing
Josien P. W. Pluim; Joseph M. Reinhardt, Editor(s)

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