Poster + Presentation + Paper
5 March 2021 An iterative algorithm for artifacts removal in Fourier-domain optical coherence tomography
Author Affiliations +
Conference Poster
Abstract
FD-OCT is a widely used technology which could provide high-resolution 3D reconstruction images. Conventional OCT uses IDFT reconstruction method, which could obtain an FFT-limited axial resolution. Recently, several optimization-based methods have reportedly achieved a resolution improvement, while undesired noise artifacts might appear in their result, which could degrade the image quality. In this work, we proposed an iterative error reduction method in order to remove the artifacts as well as improve the resolution. A numerical simulation is designed to validate our algorithm. Two reconstruction methods including IDFT reconstruction, and l1 minimization are selected for a comparative study. Specifically, we conduct the simulation at four different noise levels. The result shows that our proposed method could greatly suppress the artifact and obtain a great reconstruction even when the SNR is reduced.
Conference Presentation
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Mengyuan Wang, Yuye Ling, Shuo Shao, and Yikai Su "An iterative algorithm for artifacts removal in Fourier-domain optical coherence tomography", Proc. SPIE 11630, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXV, 1163026 (5 March 2021); https://doi.org/10.1117/12.2583790
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KEYWORDS
Reconstruction algorithms

Optical coherence tomography

Phase measurement

Computer simulations

Detection and tracking algorithms

Image quality

Phase retrieval

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