As a complex anisotropic medium, variation in birefringence within biological tissues is closely associated with numerous physiological behaviors and phenomena. In this Letter, we propose a polarization feature fusion method and corresponding polarimetric parameters, which exhibit excellent performance of capturing the birefringence dynamic variation process in complex anisotropic media. By employing the feature fusion method, we combine and transform polarization basis parameters (PBPs) to derive fused polarization feature parameters (FPPs) with explicit expressions. Subsequently, we conduct Monte Carlo (MC) simulation to demonstrate the effectiveness of the proposed FPPs from two variation dimensions of birefringence direction θ and modulus Δn. Leveraging mathematical modeling and linear transformations, we investigate and abstract their response patterns concerning θ and Δn. Finally, the experiments confirm that the FPPs show superior adaptability and interpretability in characterizing the birefringence dynamic process of turbid media. The findings presented in this study provide new, to the best of our knowledge, methodological insights of information extraction for computational polarimetry in biomedical research.

中文翻译：

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复杂各向异性介质中偏振特征融合与双折射动力学计算

作为一种复杂的各向异性介质，生物组织内双折射的变化与许多生理行为和现象密切相关。在这封信中，我们提出了一种偏振特征融合方法和相应的偏振参数，在捕获复杂各向异性介质中的双折射动态变化过程方面表现出优异的性能。通过采用特征融合方法，我们对偏振基本参数（PBP）进行组合和变换，以导出具有显式表达式的融合偏振特征参数（FPP）。随后，我们进行蒙特卡罗（MC）模拟，从双折射方向θ和模量 Δ n两个变化维度证明所提出的 FPP 的有效性。利用数学模型和线性变换，我们研究并抽象了它们关于θ和 Δ n的响应模式。最后，实验证实FPP在表征混浊介质的双折射动态过程方面表现出优异的适应性和可解释性。据我们所知，本研究中提出的结果为生物医学研究中计算旋光​​测量的信息提取提供了新的方法论见解。