Iterative sparse reconstruction of spectral domain OCT signal
Document Type
Article
Publication Date
1-1-2014
Abstract
We propose and study an iterative sparse reconstruction for Fourier domain optical coherence tomography (FD OCT) image by solving a constrained optimization problem that minimizes L-1 norm. Our method takes the spectral shape of the OCT light source into consideration in the iterative image reconstruction procedure that allows deconvolution of the axial point spread function from the blurred image during reconstruction rather than after reconstruction. By minimizing the L-1 norm, the axial resolution and the signal to noise ratio of image can both be enhanced. The effectiveness of our method is validated using numerical simulation and experiment. © 2014 Chinese Optics Letters.
Publication Title
Chinese Optics Letters
Recommended Citation
Liu, X.,
&
Kang, J.
(2014).
Iterative sparse reconstruction of spectral domain OCT signal.
Chinese Optics Letters,
12(5).
http://doi.org/10.3788/COL201412.051701
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/14137