全场光学相干层析成像Hilbert变换方法

Hilbert Transform in Full-Field Optical Coherence Tomography

全场光学相干层析成像(FF-OCT)可对生物样本和活体生物组织实现高分辨率光学相干断层成像。FFOCT中一个主要的问题是如何通过Hilbert变换由多幅移相干涉图获取断层图像。利用Matlab软件,使用目前几种主要的Hilbert变换,包括一维Hilbert变换及总体Hilbert变换、方向Hilbert变换、单象Hilbert变换和二象Hilbert变换等四种二维Hilbert变换进行了成像质量模拟。结果表明,二维Hilbert变换与传统的一维Hilbert变换图像相比,对比度均有10%左右的提高。

High-resolution optical coherence tomographic imaging of biological samples and in vivo biological tissues can be realized by full-field optical coherence tomography （FF-OCT）. One of the main problems in FF-OCT is how to get the tomographic images from multiple phase shift interference patterns by the Hilbert transform. With the Matlab software used, the image quality was simulated with five main Hilbert transforms, 1D Hilbert transform and four kinds of 2D Hilbert transform including （total Hilbert transform, partial Hilbert transform, single orthant Hilbert transform and bi-orthant Hilbert transform）. The results show that compared with that obtained by the 1D Hilbert transform, the image contrast by the 2D Hilbert transform increases by about 10%.