Abstract

Here we describe a compressive optical coherence tomography (OCT) system based on spectral domain random encoding (SDRE). To achieve random modulation of OCT signal for compressive sensing using hardware, SDRE disperses the broadband light, imposes spectral random modulation by a digital micromirror device, and enables full reconstruction of OCT signal that is undersampled by an electronic digitizer. Our experimental results demonstrated that CS allows information in OCT signal beyond Nyquist limit to be extracted.

© 2018 The Author(s)

PDF Article
This paper was not presented at the conference

More Like This
The algebraic reconstruction of SD-OCT based on compressed senssing theory

Xiqing Lu, Zhihua Ding, Weihao Wu, and Lijun Chen
AF4B.22 Asia Communications and Photonics Conference (ACPC) 2012

Sampling and Scrambling in Compressive Sensing Based Spectral Domain Optical Coherence Tomography

Shikhar Uttam
JTu2F.7 CLEO: Applications and Technology (CLEO_AT) 2020

Signal Reconstruction in SS-OCT using Compressed Sensing

Takuma Shirahata, Sze Yun Set, and Shinji Yamashita
ATu3I.2 CLEO: Applications and Technology (CLEO_AT) 2018

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription