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Siadati fini, Seyedeh Mahsa

University of British Columbia

Optical coherence tomography (OCT) is a non-invasive optical imaging technique to capture in-vivo, three-dimensional (3D) image data with micrometer resolution. OCT has become a valuable tool for ophthalmologists in detecting and monitoring eye diseases like age-related macular degeneration (AMD), glaucoma, and diabetic retinopathy (DR) by providing valuable information for diagnosis and determining the best course of treatment. OCT angiography (OCTA) is a functional extension of OCT which allows for non-invasive visualization of blood flow in the retina and choroid. OCTA provides detailed information about microvasculature, which is not possible with traditional angiography techniques. However, OCT and OCTA images are susceptible to degradation from motion artifacts induced by the involuntary human subjects’ head and eye movement. Multi-volume acquisition and averaging is a software-based approach to correct the motion artifacts by registering several motion-corrupted images to a single reference image or multiple reference images in a post-processing step. Nonetheless, most software-based algorithms have been more specifically designed for a specific system with a limited field-of-view (FOV) range. In this study, we implemented a robust 3D algorithm for the precise registration of multiple volumes to the coordinates of one volume chosen as the reference volume. Tests were carried out on various datasets obtained from different types of custom-built and commercially available systems to determine the reliability of the proposed algorithm. A two-dimensional (2D) version of this method is then applied to investigate retinal perfusion heterogeneity, which may enhance our understanding of retinal diseases such as glaucoma.

Text

2023-04-17

Attribution-NoDerivatives 4.0 International

http://hdl.handle.net/2429/84221

Biomedical Engineering

University of British Columbia

UBCV

http://creativecommons.org/licenses/by-nd/4.0/