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基于压缩色散编码方法的全深度压缩感知光谱域光学相干断层扫描技术

Full-depth compressive sensing spectral-domain optical coherence tomography based on a compressive dispersion encoding method.

作者信息

Yi Luying, Sun Liqun

出版信息

Appl Opt. 2018 Nov 1;57(31):9316-9321. doi: 10.1364/AO.57.009316.

DOI:10.1364/AO.57.009316
PMID:30461979
Abstract

By combining the advantages of compressive sensing optical coherence tomography (OCT) and full-depth OCT in terms of imaging time and imaging depth, we demonstrate how compressive sampling and dispersion encoding can be simultaneously used to reconstruct a full-depth OCT image. Moreover, by considering the image processing speed, we propose a two-step compressive dispersion encoding (TCDE) method, in which a large dispersion imbalance is introduced between the reference arm and the sample arm and two iterations are performed. The first iteration selects the signals with higher intensity and then removes their conjugate items and incoherent aliasing artifacts caused by undersampling based on the least squares method. The second iteration selects the signals with lower intensity. Experimental results show that nearly the same conjugate inhibition ratio can be obtained with 50% sampled data and 100% sampled data using the TCDE method. Full-depth images of a glass slide, an onion, and a live fish eye are obtained from 50% and 100% sampled data using the TCDE method. For a 1.4  mm×3.6  mm fish eye image, the conjugate items are reduced by 33.2 and 31.7 dB using 50% sampled data and 100% sampled data, respectively.

摘要

通过结合压缩感知光学相干断层扫描(OCT)和全深度OCT在成像时间和成像深度方面的优势,我们展示了如何同时使用压缩采样和色散编码来重建全深度OCT图像。此外,考虑到图像处理速度,我们提出了一种两步压缩色散编码(TCDE)方法,其中在参考臂和样品臂之间引入了大的色散不平衡并进行两次迭代。第一次迭代选择强度较高的信号,然后基于最小二乘法去除其共轭项和欠采样引起的非相干混叠伪像。第二次迭代选择强度较低的信号。实验结果表明,使用TCDE方法,50%采样数据和100%采样数据可获得几乎相同的共轭抑制率。使用TCDE方法从50%和100%采样数据中获得了载玻片、洋葱和活鱼眼的全深度图像。对于1.4  mm×3.6  mm的鱼眼图像,使用50%采样数据和100%采样数据时,共轭项分别降低了33.2和31.7 dB。

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