| Autor: |
Site Luo, Qiang Guo, Hui Zhao, Xin An, Liang Zhou, Huikai Xie, Jianyu Tang, Xiao Wang, Hongwei Chen, Li Huo |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
|
| Zdroj: |
IEEE Photonics Journal, Vol 10, Iss 1, Pp 1-9 (2018) |
| Druh dokumentu: |
article |
| ISSN: |
1943-0655 |
| DOI: |
10.1109/JPHOT.2017.2787662 |
| Popis: |
In this paper, we investigate noise reduction in swept-source optical coherence tomography (OCT) using compressed sensing (CS). Multiple scan averaging is a classical method used to enhance the quality of OCT images by reducing the noise of a system. However, the conventional averaging method requires a repetitive scan at the same location and thus reduces the imaging speed. In this paper, the sparsity property of an OCT A-scan is utilized, and one full A-scan OCT image can be reconstructed from a portion of the acquired data during one sweep period using CS. Thus, multiple OCT A-scans can be reconstructed from a single sweep. The average A-scans yield a better quality than the single A-scan obtained from the whole data acquired during a sweep period. We demonstrate that the average of five reconstructed A-scans from a single sweep using CS offers an image quality and depth resolution similar to those obtained by averaging three sequential A-scans from three sweeps using the conventional averaging method. This proposed method can shorten the time required to perform repetitive scans and thus improve the imaging speed. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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