Dynamic optical coherence microscopy with model-based motion reduction

Wei Wei; Andrea Cogliati; Cristina Canavesi

doi:10.1117/12.2583727

5 March 2021 Dynamic optical coherence microscopy with model-based motion reduction

Wei Wei, Andrea Cogliati, Cristina Canavesi

Proceedings Volume 11630, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV; 116301G (2021) https://doi.org/10.1117/12.2583727
Event: SPIE BiOS, 2021, Online Only

Abstract

Label-free high-resolution imaging in vivo plays an important role in biomedical studies of vasculature. Based on Gabor-domain optical coherence microscopy (GD-OCM), an innovative dynamic 3D imaging technique named ultrahigh resolution factor angiography (URFA) was developed by modeling the OCM datasets as latent variables, with the common factor representing the variance shared among the datasets, and the anisotropic unique factor representing tissue motion in specific dataset. By separately modeling the tissue motion, the associated artifacts were largely removed. Compared to a direct differentiation of OCM signals, the URFA algorithm improves the visualization of capillaries with reduced motion artifacts.

Conference Presentation

Citation Download Citation

Wei Wei, Andrea Cogliati, and Cristina Canavesi "Dynamic optical coherence microscopy with model-based motion reduction", Proc. SPIE 11630, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV, 116301G (5 March 2021); https://doi.org/10.1117/12.2583727

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