Confidence Estimation for Medical Image Registration Based On Stereo Confidences

G Saygili, M. Staring, EA Hendriks

Research output: Contribution to journalArticleScientificpeer-review

19 Citations (Scopus)


In this paper, we propose a novel method to estimate the confidence of a registration that does not require any ground truth, is independent from the registration algorithm and the resulting confidence is correlated with the amount of registration error. We first apply a local search to match patterns between the registered image pairs. Local search induces a cost space per voxel which we explore further to estimate the confidence of the registration similar to confidence estimation algorithms for stereo matching. We test our method on both synthetically generated registration errors and on real registrations with ground truth. The experimental results show that our confidence measure can estimate registration errors and it is correlated with local errors.
Original languageEnglish
Pages (from-to)539-549
Number of pages11
JournalIEEE Transactions on Medical Imaging
Issue number2
Publication statusPublished - 25 Sep 2015


  • stereo confidence
  • Confidence estimation
  • medical image registration


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