Feature-based pairwise retinal image registration by radial distortion correction

Sangyeol Lee; Michael D. Abràmoff; Joseph M. Reinhardt

doi:10.1117/12.710676

8 March 2007 Feature-based pairwise retinal image registration by radial distortion correction

Sangyeol Lee, Michael D. Abràmoff, Joseph M. Reinhardt

Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 651220 (2007) https://doi.org/10.1117/12.710676
Event: Medical Imaging, 2007, San Diego, CA, United States

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.

Citation Download Citation

Sangyeol Lee, Michael D. Abràmoff, and Joseph M. Reinhardt "Feature-based pairwise retinal image registration by radial distortion correction", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 651220 (8 March 2007); https://doi.org/10.1117/12.710676

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available