@inproceedings{fc5f67a591984646aa2c3132baad68f6,
title = "Optimized OCT-based depth-resolved model for attenuation compensation using point-spread-function calibration",
abstract = "Optical coherence tomography (OCT) with a robust depth-resolved attenuation compensation method for a wide range of imaging applications is proposed and demonstrated. The proposed novel OCT attenuation compensation algorithm introduces an optimized axial point spread function (PSF) to modify existing depth-resolved methods and mitigates under and overestimation in biological tissues, providing a uniform resolution over the entire imaging range. The preliminary study is implemented using A-mode numerical simulation, where this method achieved stable and robust compensation results over the entire depth of samples. The experiment results using phantoms and corneal imaging exhibit agreement with the simulation result evaluated using signal-to-noise (SNR) and contrast-to-noise (CNR) metrics.",
keywords = "Contrast improvement, Optical attenuation coefficient, Optical coherence tomography, Optimized depth-resolved estimation",
author = "Yaning Wang and Shuwen Wei and Shoujing Guo and Kang, {Jin U.}",
note = "Publisher Copyright: {\textcopyright} 2021 SPIE.; Optical Fibers and Sensors for Medical Diagnostics, Treatment and Environmental Applications XXI 2021 ; Conference date: 06-03-2021 Through 11-03-2021",
year = "2021",
doi = "10.1117/12.2577847",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Israel Gannot and Katy Roodenko",
booktitle = "Optical Fibers and Sensors for Medical Diagnostics, Treatment and Environmental Applications XXI",
}