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13 March 2024 Robust artifact removal and point-spread function shaping in scanning and parallelized Fourier-domain optical coherence tomography
Tatiana Soldati, Sarvesh A. Thakur, Johannes F. de Boer, Dierck Hillmann
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Proceedings Volume PC12830, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVIII; PC128302P (2024) https://doi.org/10.1117/12.3004439
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
Removing artifacts, reducing noise, and shaping the point spread function (PSF) in Fourier-domain optical coherence tomography (FD-OCT) are critical for optimal image quality. Existing methods require frequent calibration, fail for certain background signals, or introduce various artifacts such as side-lobes for the lateral PSF. Here, we present methods for numerical optimization of FD-OCT image quality and demonstrate them for different OCT systems. Based on simulations, we also show that suitable algorithms for line-field and full-field FD-OCT can perform self-balancing, effectively eliminating relative intensity noise (RIN) and thus eliminating the need for balanced detection with a second detector or camera.
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Tatiana Soldati, Sarvesh A. Thakur, Johannes F. de Boer, and Dierck Hillmann "Robust artifact removal and point-spread function shaping in scanning and parallelized Fourier-domain optical coherence tomography", Proc. SPIE PC12830, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVIII, PC128302P (13 March 2024); https://doi.org/10.1117/12.3004439
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KEYWORDS
Optical coherence tomography
Image quality
Relative intensity noise
Cameras
Denoising
Detection and tracking algorithms
Point spread functions
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