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Optimal sparsifying bases for frequency-domain optical-coherence tomography

Nayak, Rohit and Seelamantula, Chandra Sekhar (2012) Optimal sparsifying bases for frequency-domain optical-coherence tomography. In: OPTICS LETTERS, 37 (23). pp. 4907-4909.

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Official URL: http://dx.doi.org/10.1364/OL.37.004907


We address the reconstruction problem in frequency-domain optical-coherence tomography (FDOCT) from under-sampled measurements within the framework of compressed sensing (CS). Specifically, we propose optimal sparsifying bases for accurate reconstruction by analyzing the backscattered signal model. Although one might expect Fourier bases to be optimal for the FDOCT reconstruction problem, it turns out that the optimal sparsifying bases are windowed cosine functions where the window is the magnitude spectrum of the laser source. Further, the windowed cosine bases can be phase locked, which allows one to obtain higher accuracy in reconstruction. We present experimental validations on real data. The findings reported in this Letter are useful for optimal dictionary design within the framework of CS-FDOCT. (C) 2012 Optical Society of America

Item Type: Journal Article
Additional Information: Copyright for this article belongs to OPTICAL SOC AMER, SHINGTON, USA
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 02 Jan 2013 07:35
Last Modified: 02 Jan 2013 07:35
URI: http://eprints.iisc.ac.in/id/eprint/45583

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