Depth Compensated Spectral Domain Optical Coherence Tomography via Digital Compensation
Ameneh Boroomand, Bingyao Tan, Mohammad Javad Shafiee, Kostadinka, Bizheva, and Alexander Wong

TL;DR
This paper introduces a digital compensation method for SD-OCT that enhances imaging quality by addressing depth-related resolution loss, SNR reduction, and artifacts through a unified MAP framework with SF-CRF modeling.
Contribution
The authors develop a novel Depth Compensated SD-OCT system with a digital signal processing module that improves resolution and SNR across depths, adaptable to any SD-OCT system.
Findings
Improved spatial resolution and contrast in biological tissues.
Enhanced SNR and artifact reduction demonstrated on resolution targets.
Potential for better in-vivo tissue imaging applications.
Abstract
Spectral Domain Optical Coherence Tomography (SD-OCT) is a well-known imaging modality which allows for \textit{in-vivo} visualization of the morphology of different biological tissues at cellular level resolutions. The overall SD-OCT imaging quality in terms of axial resolution and Signal-to-Noise Ratio (SNR) degrades with imaging depth, while the lateral resolution degrades with distance from the focal plane. This image quality degradation is due both to the design of the SD-OCT imaging system and the optical properties of the imaged object. Here, we present a novel Depth Compensated SD-OCT (DC-OCT) system that integrates a Depth Compensating Digital Signal Processing (DC-DSP) module to improve the overall imaging quality via digital compensation. The designed DC-DSP module can be integrated to any SD-OCT system and is able to simultaneously compensate for the depth-dependent loss of…
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Taxonomy
TopicsOptical Coherence Tomography Applications · Photoacoustic and Ultrasonic Imaging · Retinal and Macular Surgery
