Fractal-based contrast correction for defocus in full-field optical coherence tomography

Yue Zhu; Zhenyan Guo; Xiaoyang Liu; Yuan Zhou

doi:10.1117/12.3009762

20 June 2024 Fractal-based contrast correction for defocus in full-field optical coherence tomography

Yue Zhu, Zhenyan Guo, Xiaoyang Liu, Yuan Zhou

Proceedings Volume 13006, Biomedical Spectroscopy, Microscopy, and Imaging III; 130060H (2024) https://doi.org/10.1117/12.3009762
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Abstract

FFOCT (Full-field optical coherence tomography) is a high-resolution optical-sectioning imaging technique for biological tissues. Fractal analysis of the FFOCT image contrast is validated as a quantitative tool to measure the scattering properties of tissue. The defocus is one of the main factors that reduce FFOCT image contrast. This work applies the fractal analysis to model FFOCT image contrast. The contrast correction factor was proposed by considering tissue scattering and the system's defocused coherence transfer function. For each layer of the FFOCT image, the image is transformed to its original defocused amplitude and phase, then corrected with the proposed correction factor. The in-depth fractal dimension and EBCM (Edge-based contrast measurement) are introduced to validate the contrast enhancement quantitively. The result of the mouse organ demonstrated the correction effect quantitatively to a resolution limit, and it may guide a physics-informed interpretation of FFOCT image and augmented microscopy.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yue Zhu, Zhenyan Guo, Xiaoyang Liu, and Yuan Zhou "Fractal-based contrast correction for defocus in full-field optical coherence tomography", Proc. SPIE 13006, Biomedical Spectroscopy, Microscopy, and Imaging III, 130060H (20 June 2024); https://doi.org/10.1117/12.3009762

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