偏振频域光学相干层析成像(OCT)中图像质量受散斑噪声影响较大,散斑噪声会使图像细节变模糊,降低图像清晰度。针对此问题,提出了一种分光谱降低偏振频域OCT散斑噪声的方法。该方法将系统的全光谱信号分为多个光谱信号,对每个分立的光谱信号进行窗函数滤波,单独进行常规数据处理,然后将处理后的各个分光谱进行平均合成,达到降低散斑噪声的目的。利用Matlab进行仿真,同时搭建实验系统对离体生物样品鸡胸肉进行检测。实验结果表明,该方法可有效降低散斑噪声,提高偏振图像质量。

Speckle noise is one of the main limiting factors for the image quality of Fourier domain polarization-sensitive optical coherence tomography (FD-PS-OCT). It reduces image contrast and makes tissue boundaries blurred. In order to improve the image quality, a split-spectrum method for speckle noise reduction is proposed. The method splits FD-PS-OCT interference spectrum into several narrower spectrum. Then a filtering window function is performed on every individual narrower spectrum. After the traditional FD-PS-OCT data processing, the several individual spectrums can be averaged to suppress speckle noise. Simulations and experiments show that the proposed method can reduce speckle noise effectively and improve the image quality.