Rapid Dispersion Compensation and Dispersion Measurement in Optical Coherence Tomography

Duohao Zhao; Sainan Wang; Haozhe Zhong; Liangqi Cao; Jianfeng Huang; Qin Li; Xiao Zhang

doi:10.1109/JSTQE.2026.3673708

Rapid Dispersion Compensation and Dispersion Measurement in Optical Coherence Tomography

Duohao Zhao
, Sainan Wang
, Haozhe Zhong
, Liangqi Cao
, Jianfeng Huang
, Qin Li^*
, Xiao Zhang^*

^*此作品的通讯作者

Beijing Institute of Technology
Capital Medical University

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Dispersion mismatch in optical coherence tomography (OCT) degrades image quality and the resolution for biological microstructures. Traditional compensation strategies predominantly rely on exhaustive search (ES) algorithms, which is computationally inefficient and time-consuming. In addition, the lack of efficient dispersion measurement methods for biological samples limits clinical OCT applications. This study proposes a rapid dispersion compensation and measurement strategy that improves both compensation efficiency and measurement accuracy. For compensation, a dual-stage collaborative optimization framework integrating coarse ES with the Nelder-Mead (NM) simplex algorithm is developed, enabling global localization followed by efficient local refinement. Compared with ES and goldensection search (GSS), the proposed strategy reduces convergence time by 98.2% and 68.2%, respectively, without accuracy degradation. For dispersion measurement, experiments on optical glasses within the same framework show good agreement with the ground truth. For 1 mm thick BaF2 and H-K9L glasses, errors of the extracted dispersion coefficients are 2.97 fs2/mm and 1.45 fs2/mm, respectively. In vivo imaging further demonstrates rapid operation in complex biological tissues, with a typical operation time required for dispersion measurement as low as 0.9 s for anterior chamber analysis and 0.5 s for retinal imaging on a laptop using an unoptimized single-threaded program. The proposed strategy integrates high compensation efficiency with accurate extraction capabilities, offering a robust solution for clinical OCT imaging and disease screening based on tissue dispersion characterization.

源语言	英语
文章编号	7100910
期刊	IEEE Journal of Selected Topics in Quantum Electronics
卷	32
期	4
DOI	https://doi.org/10.1109/JSTQE.2026.3673708
出版状态	已出版 - 1 7月 2026
已对外发布	是

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@article{d3e74a74128749a3966cd004e44431be,

title = "Rapid Dispersion Compensation and Dispersion Measurement in Optical Coherence Tomography",

abstract = "Dispersion mismatch in optical coherence tomography (OCT) degrades image quality and the resolution for biological microstructures. Traditional compensation strategies predominantly rely on exhaustive search (ES) algorithms, which is computationally inefficient and time-consuming. In addition, the lack of efficient dispersion measurement methods for biological samples limits clinical OCT applications. This study proposes a rapid dispersion compensation and measurement strategy that improves both compensation efficiency and measurement accuracy. For compensation, a dual-stage collaborative optimization framework integrating coarse ES with the Nelder-Mead (NM) simplex algorithm is developed, enabling global localization followed by efficient local refinement. Compared with ES and goldensection search (GSS), the proposed strategy reduces convergence time by 98.2\% and 68.2\%, respectively, without accuracy degradation. For dispersion measurement, experiments on optical glasses within the same framework show good agreement with the ground truth. For 1 mm thick BaF2 and H-K9L glasses, errors of the extracted dispersion coefficients are 2.97 fs2/mm and 1.45 fs2/mm, respectively. In vivo imaging further demonstrates rapid operation in complex biological tissues, with a typical operation time required for dispersion measurement as low as 0.9 s for anterior chamber analysis and 0.5 s for retinal imaging on a laptop using an unoptimized single-threaded program. The proposed strategy integrates high compensation efficiency with accurate extraction capabilities, offering a robust solution for clinical OCT imaging and disease screening based on tissue dispersion characterization.",

keywords = "Nelder-Mead simplex method, Optical coherence tomography, coarse exhaustive search, dispersion compensation, dispersion measurement",

author = "Duohao Zhao and Sainan Wang and Haozhe Zhong and Liangqi Cao and Jianfeng Huang and Qin Li and Xiao Zhang",

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AU - Zhao, Duohao

AU - Wang, Sainan

AU - Zhong, Haozhe

AU - Cao, Liangqi

AU - Huang, Jianfeng

AU - Li, Qin

AU - Zhang, Xiao

PY - 2026/7/1

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N2 - Dispersion mismatch in optical coherence tomography (OCT) degrades image quality and the resolution for biological microstructures. Traditional compensation strategies predominantly rely on exhaustive search (ES) algorithms, which is computationally inefficient and time-consuming. In addition, the lack of efficient dispersion measurement methods for biological samples limits clinical OCT applications. This study proposes a rapid dispersion compensation and measurement strategy that improves both compensation efficiency and measurement accuracy. For compensation, a dual-stage collaborative optimization framework integrating coarse ES with the Nelder-Mead (NM) simplex algorithm is developed, enabling global localization followed by efficient local refinement. Compared with ES and goldensection search (GSS), the proposed strategy reduces convergence time by 98.2% and 68.2%, respectively, without accuracy degradation. For dispersion measurement, experiments on optical glasses within the same framework show good agreement with the ground truth. For 1 mm thick BaF2 and H-K9L glasses, errors of the extracted dispersion coefficients are 2.97 fs2/mm and 1.45 fs2/mm, respectively. In vivo imaging further demonstrates rapid operation in complex biological tissues, with a typical operation time required for dispersion measurement as low as 0.9 s for anterior chamber analysis and 0.5 s for retinal imaging on a laptop using an unoptimized single-threaded program. The proposed strategy integrates high compensation efficiency with accurate extraction capabilities, offering a robust solution for clinical OCT imaging and disease screening based on tissue dispersion characterization.

AB - Dispersion mismatch in optical coherence tomography (OCT) degrades image quality and the resolution for biological microstructures. Traditional compensation strategies predominantly rely on exhaustive search (ES) algorithms, which is computationally inefficient and time-consuming. In addition, the lack of efficient dispersion measurement methods for biological samples limits clinical OCT applications. This study proposes a rapid dispersion compensation and measurement strategy that improves both compensation efficiency and measurement accuracy. For compensation, a dual-stage collaborative optimization framework integrating coarse ES with the Nelder-Mead (NM) simplex algorithm is developed, enabling global localization followed by efficient local refinement. Compared with ES and goldensection search (GSS), the proposed strategy reduces convergence time by 98.2% and 68.2%, respectively, without accuracy degradation. For dispersion measurement, experiments on optical glasses within the same framework show good agreement with the ground truth. For 1 mm thick BaF2 and H-K9L glasses, errors of the extracted dispersion coefficients are 2.97 fs2/mm and 1.45 fs2/mm, respectively. In vivo imaging further demonstrates rapid operation in complex biological tissues, with a typical operation time required for dispersion measurement as low as 0.9 s for anterior chamber analysis and 0.5 s for retinal imaging on a laptop using an unoptimized single-threaded program. The proposed strategy integrates high compensation efficiency with accurate extraction capabilities, offering a robust solution for clinical OCT imaging and disease screening based on tissue dispersion characterization.

KW - Nelder-Mead simplex method

KW - Optical coherence tomography

KW - coarse exhaustive search

KW - dispersion compensation

KW - dispersion measurement

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Rapid Dispersion Compensation and Dispersion Measurement in Optical Coherence Tomography

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