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Optical computing for optical coherence tomography

We propose an all-optical Fourier transformation system for real-time massive data processing in high speed optical coherence tomography (OCT). In the so-called optical computing OCT, fast Fourier transformation (FFT) of A-scan signal is optically processed in real time before being detected by phot...

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Detalles Bibliográficos
Autores principales: Zhang, Xiao, Huo, Tiancheng, Wang, Chengming, Liao, Wenchao, Chen, Tianyuan, Ai, Shengnan, Zhang, Wenxin, Hsieh, Jui-Cheng, Xue, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116674/
https://www.ncbi.nlm.nih.gov/pubmed/27869131
http://dx.doi.org/10.1038/srep37286
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author Zhang, Xiao
Huo, Tiancheng
Wang, Chengming
Liao, Wenchao
Chen, Tianyuan
Ai, Shengnan
Zhang, Wenxin
Hsieh, Jui-Cheng
Xue, Ping
author_facet Zhang, Xiao
Huo, Tiancheng
Wang, Chengming
Liao, Wenchao
Chen, Tianyuan
Ai, Shengnan
Zhang, Wenxin
Hsieh, Jui-Cheng
Xue, Ping
author_sort Zhang, Xiao
collection PubMed
description We propose an all-optical Fourier transformation system for real-time massive data processing in high speed optical coherence tomography (OCT). In the so-called optical computing OCT, fast Fourier transformation (FFT) of A-scan signal is optically processed in real time before being detected by photoelectric detector. Therefore, the processing time for interpolation and FFT in traditional Fourier domain OCT can be dramatically eliminated. A processing rate of 10 mega-A-scans/second was experimentally achieved, which is, to our knowledge, the highest speed for OCT imaging. Due to its fiber based all-optical configuration, this optical computing OCT system is ideal for ultrahigh speed volumetric OCT imaging in clinical application.
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spelling pubmed-51166742016-11-28 Optical computing for optical coherence tomography Zhang, Xiao Huo, Tiancheng Wang, Chengming Liao, Wenchao Chen, Tianyuan Ai, Shengnan Zhang, Wenxin Hsieh, Jui-Cheng Xue, Ping Sci Rep Article We propose an all-optical Fourier transformation system for real-time massive data processing in high speed optical coherence tomography (OCT). In the so-called optical computing OCT, fast Fourier transformation (FFT) of A-scan signal is optically processed in real time before being detected by photoelectric detector. Therefore, the processing time for interpolation and FFT in traditional Fourier domain OCT can be dramatically eliminated. A processing rate of 10 mega-A-scans/second was experimentally achieved, which is, to our knowledge, the highest speed for OCT imaging. Due to its fiber based all-optical configuration, this optical computing OCT system is ideal for ultrahigh speed volumetric OCT imaging in clinical application. Nature Publishing Group 2016-11-21 /pmc/articles/PMC5116674/ /pubmed/27869131 http://dx.doi.org/10.1038/srep37286 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Zhang, Xiao
Huo, Tiancheng
Wang, Chengming
Liao, Wenchao
Chen, Tianyuan
Ai, Shengnan
Zhang, Wenxin
Hsieh, Jui-Cheng
Xue, Ping
Optical computing for optical coherence tomography
title Optical computing for optical coherence tomography
title_full Optical computing for optical coherence tomography
title_fullStr Optical computing for optical coherence tomography
title_full_unstemmed Optical computing for optical coherence tomography
title_short Optical computing for optical coherence tomography
title_sort optical computing for optical coherence tomography
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116674/
https://www.ncbi.nlm.nih.gov/pubmed/27869131
http://dx.doi.org/10.1038/srep37286
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