@inproceedings{cb5d73562c944321902f7f5fb3035ce1,
title = "Compressive sensing spectral domain optical coherence tomography with dispersion compensation",
abstract = "In this paper, we describe a novel CS method that incorporates dispersion compensation into the CS reconstruction of spectral domain OCT (SD OCT) signal. We show that A-scans with dispersion compensation can be obtained by multiplying the dispersion correcting term to the undersampled linear-in-wavenumber spectral data before the CS reconstruction. We also implemented fast CS reconstruction by taking the advantage of fast Fourier transform (FFT). The matrix-vector multiplication commonly used in the CS reconstruction is implemented by a two-step procedure. Compared to the CS reconstruction with matrix multiplication, our method can obtain dispersion compensated A-scan at least 5 times faster. Experimental results show that the proposed method can achieve high quality image with dispersion compensation.",
keywords = "Compressive sensing, Dispersion compensation, Image processing, Optical coherence tomography, Reconstruction algorithm",
author = "Daguang Xu and Yong Huang and Kang, \{Jin U.\}",
year = "2014",
doi = "10.1117/12.2040749",
language = "English",
isbn = "9780819498625",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
booktitle = "Three-Dimensional and Multidimensional Microscopy",
address = "United States",
note = "Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXI ; Conference date: 03-02-2014 Through 06-02-2014",
}