Spatially offset OCT: leveraging multiple scattering for enhanced contrast deep in biological tissues

Gavrielle R. Untracht; Freja Høier; Philip Wijesinghe; Harold T. Yura; Kishan Dholakia; Peter E. Andersen

doi:10.1117/12.3005420

13 March 2024 Spatially offset OCT: leveraging multiple scattering for enhanced contrast deep in biological tissues

Gavrielle R. Untracht, Freja Høier, Philip Wijesinghe, Harold T. Yura, Kishan Dholakia, Peter E. Andersen

Author Affiliations +

Proceedings Volume PC12830, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVIII; PC128300G (2024) https://doi.org/10.1117/12.3005420
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Optical coherence tomography (OCT) is a powerful label-free approach for volumetric morphological imaging, especially within biomedicine. However, the penetration depth of OCT is limited. We postulate that in OCT, multiple scattering can enhance image contrast at depth. We demonstrate this using spatially offset OCT (SO-OCT), an original collection geometry that leads to a preferential collection of multiply scattered light. SO-OCT images have improved contrast at depth, especially in highly scattering tissues. We show that by merging images from several offsets, we can generate a composite image with reduced speckle and improved contrast over a large depth range. Finally, we investigate opportunities for using SO-OCT to improve segmentation of tissues, an important step in image interpretation. Our results show the high potential of SO-OCT as a new tool in biomedical imaging and diagnosis.

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Gavrielle R. Untracht, Freja Høier, Philip Wijesinghe, Harold T. Yura, Kishan Dholakia, and Peter E. Andersen "Spatially offset OCT: leveraging multiple scattering for enhanced contrast deep in biological tissues", Proc. SPIE PC12830, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVIII, PC128300G (13 March 2024); https://doi.org/10.1117/12.3005420

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KEYWORDS

Optical coherence tomography

Tissues

Multiple scattering

Biomedical optics

Image contrast enhancement

Image segmentation

Microscopy

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