Conference Proceeding
Authors: Lauri Laaksonen (Lappeenranta University of Technology) , Ela Claridge (University of Birmingham) , Pauli Falt (University of Eastern Finland) , Markku Hauta-Kasari (University of Eastern Finland) , Hannu Uusitalo (University of Tampere) , Lasse Lensu (Lappeenranta University of Technology)
Spectral retinal images have signficant potential for improving the early detection and visualization of subtle changes due to eye diseases and many systemic diseases. High resolution in both the spatial and the spectral domain can be achieved by capturing a set of narrowband channel images from which the spectral images are composed. With imaging techniques where the eye movement between the acquisition of the images is unavoidable, image registration is required. In this paper, the applicability of the state-of-the-art image registration methods for the composition of spectral retinal images is studied. The registration methods are quantitatively compared using synthetic channel image data of an eye phantom and semisynthetic set of retinal channel images subjected to known transformations. The experiments show that Generalized dual-bootstrap iterative closest point method outperforms the other evaluated methods in registration accuracy and the number of successful registrations.
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How to Cite: Laaksonen, L. , Claridge, E. , Falt, P. , Hauta-Kasari, M. , Uusitalo, H. & Lensu, L. (2014) “Comparison of image registration methods for composing spectral retinal images”, Proceedings of the Ophthalmic Medical Image Analysis International Workshop. 1(2014). doi: https://doi.org/10.17077/omia.1009