Comparison of image registration methods for composing spectral retinal images

Research output: Chapter in Book/Report/Conference proceedingConference contribution


  • Lauri Laaksonen
  • Pauli Falt
  • Markku Hauta-Kasari
  • Hannu Uusitalo
  • Lasse Lensu

Colleges, School and Institutes

External organisations

  • Lappeenranta University of Technology, Finland
  • University of Eastern Finland
  • University of Tampere, Finland


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.


Original languageEnglish
Title of host publicationOphthalmic Medical Image Analysis First International Workshop, OMIA 2014, Proceedings
EditorsXinjian Chen, Mona K Garvin, Jimmy J Liu
Publication statusPublished - 14 Sep 2014
EventOphthalmic Medical Image Analysis First International Workshop, OMIA 2014. Held in conjuction with MICCAI 2014. - Boston, Massachusetts., United States
Duration: 14 Sep 2014 → …


ConferenceOphthalmic Medical Image Analysis First International Workshop, OMIA 2014. Held in conjuction with MICCAI 2014.
CountryUnited States
CityBoston, Massachusetts.
Period14/09/14 → …