偏振频域光学相干层析成像中散斑噪声降低方法

Speckle Noise Reduction in Fourier Domain Polarization-Sensitive Coherence Tomography by Split-Spectrum

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 polarizationsensitive 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.