Conference Proceeding

Intensity-based Choroidal Registration Using Regularized Block Matching

  • Tiziano Ronchetti (University of Basel)
  • Peter Maloca (University of Basel)
  • Christoph Meier (Bern University of Applied Sciences)
  • Selim Orgül (University of Basel)
  • Christoph Jud (University of Basel)
  • Pascal Hasler (University of Basel)
  • Boris Považay (Bern University of Applied Sciences)
  • Philippe C. Cattin (University of Basel)


Detecting and monitoring changes in the human choroid play a crucial role in treating ocular diseases such as myopia. However, reliable segmentation of optical coherence tomography (OCT) images at the choroid-sclera interface (CSI) is notoriously difficult due to poor contrast, signal loss and OCT artefacts. In this paper we present blockwise registration of successive scans to improve stability also during complete loss of the CSI-signal. First, we formulated the problem as minimization of a regularized energy functional. Then, we tested our automated method for piecewise Intensity-based Choroidal rigid Registration using regularized block matching (ICR) on 20 OCT 3D-volume scan-rescan data set pairs. Finally, we used these data set pairs to determine the precision of our method, while the accuracy was determined by comparing our results with those using manually annotated scans.

Keywords: choroid-sclera, retinal layers, regularized block matching

How to Cite:

Ronchetti, T. & Maloca, P. & Meier, C. & Orgül, S. & Jud, C. & Hasler, P. & Považay, B. & Cattin, P. C., (2016) “Intensity-based Choroidal Registration Using Regularized Block Matching”, Proceedings of the Ophthalmic Medical Image Analysis International Workshop 3(2016), 33-40. doi:

Rights: Copyright © 2016 the authors

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Published on
21 Oct 2016
Peer Reviewed