Multi-modal and multi-vendor retina image registration

Zhang Li, Fan Huang, Jiong Zhang, Behdad Dashtbozorg, Samaneh Abbasi-Sureshjani, Yue Sun, Xi Long, Qifeng Yu, Bart Ter Haar Romeny, Tao Tan

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)


Multi-modal retinal image registration is often required to utilize the complementary information from different retinal imaging modalities. However, a robust and accurate registration is still a challenge due to the modality-varied resolution, contrast, and luminosity. In this paper, a two step registration method is proposed to address this problem. Descriptor matching on mean phase images is used to globally register images in the first step. Deformable registration based on modality independent neighbourhood descriptor (MIND) method is followed to locally refine the registration result in the second step. The proposed method is extensively evaluated on color fundus images and scanning laser ophthalmoscope (SLO) images. Both qualitative and quantitative tests demonstrate improved registration using the proposed method compared to the state-of-the-art. The proposed method produces significantly and substantially larger mean Dice coefficients compared to other methods (p<0.001). It may facilitate the measurement of corresponding features from different retinal images, which can aid in assessing certain retinal diseases.

Original languageEnglish
Article number#306658
Pages (from-to)410-422
Number of pages13
JournalBiomedical Optics Express
Issue number2
Publication statusPublished - 1 Feb 2018
Externally publishedYes


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