Dynamic-OCT simulation framework based on mathematical models of intratissue dynamics, image formation, and measurement noise

基于组织内动力学、图像形成和测量噪声数学模型的动态OCT仿真框架

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Abstract

Dynamic optical coherence tomography (DOCT) enables label-free functional imaging by capturing temporal OCT signal variations caused by intracellular and intratissue motions. However, the relationship between DOCT signals and the sample motion behind them remains unclear. This paper presents a comprehensive DOCT simulation framework that incorporates mathematical models of intracellular/intratissue motions, two OCT signal generator types that generate OCT signal time sequences from the moving scatterer models, and representative DOCT algorithms. The theory and algorithms of the framework are described in detail, and the utility of this framework is demonstrated through numerical studies. This framework is available as open source and will enhance the understanding and utility of DOCT.

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