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Optical coherence tomography (OCT) reveals microstructure of biological tissue by measuring the pathlength difference of backscattered light at micron-scale resolution and millimeter-scale depth of penetration. Speckle grains, with a size corresponding to the spatial resolution of the OCT system, complicate the identification of tissue morphology and obscure subtle differences in tissue scattering properties. There is a need for a physics-based approach to generate standardized ground truth for OCT speckle suppression processing algorithms. Here we demonstrate an angular compounding system using sample tilting in combination with a model-based affine transformations to generate physically derived speckle suppressed ground truth data.
Pelham Keahey,Brett Bouma, andMartin Villiger
"Angular compounding for physically informed training of speckle suppression algorithms", Proc. SPIE PC12367, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII, PC1236719 (9 March 2023); https://doi.org/10.1117/12.2651586
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Pelham Keahey, Brett Bouma, Martin Villiger, "Angular compounding for physically informed training of speckle suppression algorithms," Proc. SPIE PC12367, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII, PC1236719 (9 March 2023); https://doi.org/10.1117/12.2651586