Assessment and removal of additive noise in a complex optical coherence tomography signal based on Doppler variation analysis
Document Type
Article
Publication Date
4-10-2018
Abstract
In this study, we investigate and validate a novel approach to assess and remove additive noise for optical coherence tomography (OCT) imaging. Our method first generates a map of additive noise for the OCT image through Doppler variation analysis. We then remove the additive noise from the real and imaginary parts of the complex OCT signal through pixelwise Wiener filtering. Our results show that the method described in this manuscript improves the sensitivity of OCT imaging and preserves the spatial resolution without the need to modify the imaging apparatus and data acquisition protocol.
Identifier
85045152740 (Scopus)
Publication Title
Applied Optics
External Full Text Location
https://doi.org/10.1364/AO.57.002873
e-ISSN
21553165
ISSN
1559128X
PubMed ID
29714288
First Page
2873
Last Page
2880
Issue
11
Volume
57
Grant
EEC-1560131
Fund Ref
National Science Foundation
Recommended Citation
Liu, Xuan; Zaki, Farzana; and Renaud, Dylan, "Assessment and removal of additive noise in a complex optical coherence tomography signal based on Doppler variation analysis" (2018). Faculty Publications. 8725.
https://digitalcommons.njit.edu/fac_pubs/8725
