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用于相敏光学相干弹性成像中应变估计的自适应增量方法。

Adaptive incremental method for strain estimation in phase-sensitive optical coherence elastography.

出版信息

Opt Express. 2021 Aug 2;29(16):25327-25336. doi: 10.1364/OE.433245.

Abstract

We proposed an adaptive incremental method for the cumulative strain estimation in phase-sensitive optical coherence elastography. The method firstly counts the amount of phase noise points by mapping a binary noise map. After the noise threshold value is preset, the interframe interval is adaptively adjusted in terms of the phase noise ratio. Finally, the efficient estimation of cumulative strain is implemented by reducing the cumulative number. Since the level of phase noise is related to the different strain rates in accordance with the speckle decorrelation, the proposed method can estimate the large strains with high computation efficiency as well as signal-to-noise ratio (SNR) enhancement in nonlinear change of sample deformations. Real experiments of visualizing polymerization shrinkage with nonlinear change of deformations were performed to prove the superiority of adaptive incremental method in estimating the large strains. The proposed method expands the practicability of the incremental method in more complex scenes.

摘要

我们提出了一种用于相敏光学相干弹性成像中累积应变估计的自适应增量方法。该方法首先通过映射二进制噪声图来计算相位噪声点的数量。在预设噪声阈值后,根据相位噪声比自适应调整帧间间隔。最后,通过减少累积数量来实现累积应变的有效估计。由于相位噪声的水平与根据散斑去相关的不同应变速率有关,因此该方法可以在非线性变化的样本变形中以较高的计算效率和信噪比(SNR)增强来估计大应变。通过进行可视化聚合收缩的实时实验,证明了自适应增量方法在估计大应变方面的优越性。该方法扩展了增量方法在更复杂场景中的适用性。

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