Poster
29 November 2023 Comparison of algorithms for the estimation of the optical attenuation coefficients in optical coherence tomography
Nian Peng, Xiaoyu Yang, Chengli Xu, Kerui Li, Haixia Qiu, Ying Gu, Defu Chen
Author Affiliations +
Conference Poster
Abstract
Various algorithms have been proposed to compute attenuation coefficient (AC) based on optical coherence tomography (OCT) signals. The single scattering model has gained widespread application due to its computational efficiency; however, it’s only applicable to thin tissue layers, thus imposing strict requirements on the data length used for calculations. This study compared the algorithms for estimating the AC from OCT data using different data length such as 180 μm , 250 μm , 350 μm , 435 μm acquired from intralipid phantoms. Subsequently, employing various algorithms and utilizing the optimal data length, we calculated the attenuation coefficients of liquid phantoms with different concentrations, and the methodology was applied to homogeneous mouse tissues. The comparative study may provide a reliable basis for parameter configuration for AC extraction algorithm.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Nian Peng, Xiaoyu Yang, Chengli Xu, Kerui Li, Haixia Qiu, Ying Gu, and Defu Chen "Comparison of algorithms for the estimation of the optical attenuation coefficients in optical coherence tomography", Proc. SPIE 12770, Optics in Health Care and Biomedical Optics XIII, 1277038 (29 November 2023); https://doi.org/10.1117/12.2688870
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KEYWORDS
Optical coherence tomography

Signal attenuation

Detection and tracking algorithms

Tissue optics

Tissues

Model-based design

Cancer detection

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