Conjugate Transformation for Dispersion Compensation in Optical Coherence Tomography Imaging
Conjugate Transformation for Dispersion Compensation in Optical Coherence Tomography Imaging
复制标题
光学相干断层扫描成像色散补偿的共轭变换
DOI：
10.1109/jstqe.2018.2796142
复制
发表时间：
2019
影响因子：
4.9
通讯作者：
P. Xue
中科院分区：
文献类型：
--
作者：
Wenxin Zhang;Xiao Zhang;Chengming Wang;Wenchao Liao;Shengnan Ai;Zhangkai Peng;Jui;Ning Zhang;Bihua Tang;P. Xue
In optical coherence tomography (OCT), the sample dispersion tends to increase the signal width and hence lower down the resolution, resulting in serious image quality degradation, especially for imaging over a large depth range or media with large dispersion coefficient. In this letter, instead of the conventional Fourier transformation for dispersion compensation that can compensate the image only ideally at a certain depth, a novel transformation, as called conjugate transformation, is proposed to achieve high resolution at all depth by utilizing the conjugate function of the signal itself as an optimized integral kernel. A large dispersion media of ZnSe is used as the sample to test the feasibility of this novel transformation, achieving ∼1.4 times higher resolution than the conventional transformation. OCT imaging of bio-tissues with ideally compensation of sample dispersion for all the depth is experimentally demonstrated and at the same time the dispersion coefficients are also obtained.
影响因子：
1.7
作者：
Ripandelli, G;Coppe, A M;Stirpe, M
通讯作者：
Stirpe, M
影响因子：
3.8
作者：
Choi, WooJhon;Baumann, Bernhard;Fujimoto, James G.
通讯作者：
Fujimoto, James G.