Open AccessInvariant features-based automated registration and montage for wide-field OCT angiography
Author(s) -
Jie Wang,
Acner Camino,
Xiaohui Hua,
Liang Liu,
David Huang,
Thomas S. Hwang,
Yali Jia
Publication year - 2018
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.10.000120
Subject(s) - computer science , artificial intelligence , affine transformation , computer vision , image registration , angiography , retina , optical coherence tomography , invariant (physics) , optical coherence tomography angiography , brightness , optics , medicine , radiology , mathematics , physics , image (mathematics) , mathematical physics , pure mathematics
The field of view of optical coherence tomography angiography (OCTA) images of the retina can be increased by montaging consecutive scans acquired at different retinal regions. Given the dramatic variation in aberrations throughout the entire posterior pole region, it is challenging to achieve seamless merging with apparent capillary continuity across the boundaries between adjacent angiograms. For this purpose, we propose herein a method that performs automated registration of contiguous OCTA images based on invariant features and uses a novel montage algorithm. The invariant features were used to register the overlapping areas between adjacently located scans by estimating the affine transformation matrix needed to accurately stitch them. Then, the flow signal was compensated to homogenize the angiograms with different brightness and the joints were blended to generate a seamless, montaged wide-field angiogram. We evaluated the algorithm on normal and diabetic retinopathy eyes. The proposed method could montage the angiograms seamlessly and provided a wide-field of view of retinal vasculature.