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Adaptive incremental method for strain estimation in phase-sensitive optical coherence elastography
Optics Express ( IF 3.8 ) Pub Date : 2021-07-23 , DOI: 10.1364/oe.433245
Yulei Bai , Shuyin Cai , Shengli Xie , Bo Dong

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.

中文翻译:

相敏光学相干弹性成像应变估计的自适应增量法

我们提出了一种自适应增量法,用于相敏光学相干弹性成像中的累积应变估计。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。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。由于相位噪声的大小与根据散斑去相关的不同应变率有关,所提出的方法可以估计大应变,计算效率高,并且在样本的非线性变化中提高了信噪比(SNR)变形。进行了具有非线性变形变化的聚合收缩可视化的真实实验,证明了自适应增量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实用性。
更新日期:2021-08-02
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