12 March 2014 Compressive sensing spectral domain optical coherence tomography with dispersion compensation
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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.
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Daguang Xu, Yong Huang, Jin U. Kang, "Compressive sensing spectral domain optical coherence tomography with dispersion compensation", Proc. SPIE 8949, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXI, 89490N (12 March 2014); doi: 10.1117/12.2040749; https://doi.org/10.1117/12.2040749
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