Compressive sensing spectral domain optical coherence tomography with dispersion compensation

Daguang Xu; Yong Huang; Jin U. Kang

doi:10.1117/12.2040749

12 March 2014 Compressive sensing spectral domain optical coherence tomography with dispersion compensation

Daguang Xu, Yong Huang, Jin U. Kang

Proceedings Volume 8949, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXI; 89490N (2014) https://doi.org/10.1117/12.2040749
Event: SPIE BiOS, 2014, San Francisco, California, United States

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.

Citation Download Citation

Daguang Xu, Yong Huang, and 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); https://doi.org/10.1117/12.2040749

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