Two-dimensional compressive sensing in spectral domain optical coherence tomography

Daguang Xu; Yong Huang; Jin U. Kang

doi:10.1117/12.2079398

9 March 2015 Two-dimensional compressive sensing in spectral domain optical coherence tomography

Daguang Xu, Yong Huang, Jin U. Kang

Proceedings Volume 9330, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXII; 93301A (2015) https://doi.org/10.1117/12.2079398
Event: SPIE BiOS, 2015, San Francisco, California, United States

Abstract

In this paper, we proposed a novel compressive sensing (CS) method in spectral domain optical coherence tomography (SD OCT), which reconstructs B-scan image using a subset of the spectral data that is under-sampled in both axial and lateral dimensions. Thus a fraction of the A-scans for a B-scan are acquired; the spectral data of each acquired A-scan is under-sampled. Compared with the previous studies, our method further reduces the overall size of the spectral measurements. Experimental results show that our approach can obtain high quality B-scan image using 25% spectral data, which takes 50% number of A-scans and acquires 50% spectral data for each selected A-scan.

Citation Download Citation

Daguang Xu, Yong Huang, and Jin U. Kang "Two-dimensional compressive sensing in spectral domain optical coherence tomography", Proc. SPIE 9330, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXII, 93301A (9 March 2015); https://doi.org/10.1117/12.2079398

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available