Automatic retinal registration using global optimization techniques

Author

Mouravliansky, N. ; Matsopoulos, G.K. ; Delibasis, K. ; Nikita, K.S.

Author_Institution

Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Greece

Volume

2

fYear

1998

fDate

29 Oct-1 Nov 1998

Firstpage

567

Abstract

A new automatic scheme to register retinal images is presented and is currently tested in a clinical environment. The scheme considers the suitability and efficiency of different image transformation models and function optimization techniques, following an initial preprocessing stage. Three different transformation models-Affine, Bilinear and Projective-as well as two global optimization techniques, Simulated Annealing and Genetic Algorithms-are investigated and compared in terms of accuracy and efficiency. The registration of 26 pairs of Fluoroscein Angiography (FA) and Indocyanine Green Chorioangiography (ICG) images with the corresponding Red Free (RF) retinal images, showed the superiority of combining Genetic Algorithms with the Affine and Bilinear transformation models

Keywords

eye; genetic algorithms; image registration; medical image processing; optical images; simulated annealing; affine; automatic retinal registration; bilinear; clinical environment; fluoroscein angiography; function optimization techniques; global optimization techniques; image transformation models; indocyanine green chorioangiography; preprocessing stage; projective; red free retinal images; transformation models; Automatic testing; Charge coupled devices; Charge-coupled image sensors; Digital cameras; Genetic algorithms; Image storage; Radio frequency; Registers; Retina; Simulated annealing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE

Conference_Location

Hong Kong

ISSN

1094-687X

Print_ISBN

0-7803-5164-9

Type

conf

DOI

10.1109/IEMBS.1998.745458

Filename

745458