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A multimodal registration algorithm of eye fundus images using vessels detection and Hough transform

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2 Author(s)
Zana, F. ; Centre de Morphologie Math., Ecole des Mines de Paris, Valbonne, France ; Klein, J.C.

Image registration is a real challenge because physicians handle many images. Temporal registration is necessary in order to follow the various steps of a disease, whereas multimodal registration allows us to improve the identification of some lesions or to compare pieces of information gathered from different sources. This paper presents an algorithm for temporal and/or multimodal registration of retinal images based on point correspondence. As an example, the algorithm has been applied to the registration of fluorescein images (obtained after a fluorescein dye injection) with green images (green filter of a color image). The vascular tree is first detected in each type of images and bifurcation points are labeled with surrounding vessel orientations. An angle-based invariant is then computed in order to give a probability for two points to match. Then a Bayesian Hough transform is used to sort the transformations with their respective likelihoods. A precise affine estimate is finally computed for most likely transformations. The best transformation is chosen for registration.

Published in:

Medical Imaging, IEEE Transactions on  (Volume:18 ,  Issue: 5 )

Date of Publication:

May 1999

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