Conference proceeding
Feature-based pairwise retinal image registration by radial distortion correction
Proceedings of SPIE, Vol.6512(1), pp.651220-6512210
Medical Imaging 2007: Image Processing
03/08/2007
DOI: 10.1117/12.710676
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.
Details
- Title: Subtitle
- Feature-based pairwise retinal image registration by radial distortion correction
- Creators
- Sangyeol Lee - The Univ. of IowaMichael D Abràmoff - The Univ. of Iowa and Veteran's Administration Medical CtrJoseph M Reinhardt - The Univ. of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.6512(1), pp.651220-6512210
- Conference
- Medical Imaging 2007: Image Processing
- DOI
- 10.1117/12.710676
- ISSN
- 0277-786X
- Language
- English
- Date published
- 03/08/2007
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Ophthalmology and Visual Sciences; Radiology; Electrical and Computer Engineering; Fraternal Order of Eagles Diabetes Research Center
- Record Identifier
- 9984060868702771
Metrics
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