Presentation + Paper
5 March 2021 Optimized OCT-based depth-resolved model for attenuation compensation using point-spread-function calibration
Author Affiliations +
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.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yaning Wang, Shuwen Wei, Shoujing Guo, and Jin U. Kang "Optimized OCT-based depth-resolved model for attenuation compensation using point-spread-function calibration", Proc. SPIE 11635, Optical Fibers and Sensors for Medical Diagnostics, Treatment and Environmental Applications XXI, 116350E (5 March 2021); https://doi.org/10.1117/12.2577847
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KEYWORDS
Signal attenuation

Optical coherence tomography

Calibration

Tissues

Image segmentation

Monte Carlo methods

Point spread functions

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