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Exponential filtering of singular values improves photoacoustic image reconstruction

Bhatt, Manish and Gutta, Sreedevi and Yalavarthy, Phaneendra K (2016) Exponential filtering of singular values improves photoacoustic image reconstruction. In: JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 33 (9). pp. 1785-1792.

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Official URL: http://dx.doi.org/10.1364/JOSAA.33.001785


Model-based image reconstruction techniques yield better quantitative accuracy in photoacoustic image reconstruction. In this work, an exponential filtering of singular values was proposed for carrying out the image reconstruction in photoacoustic tomography. The results were compared with widely popular Tikhonov regularization, time reversal, and the state of the art least-squaresQR-based reconstruction algorithms for three digital phantom cases with varying signal-to-noise ratios of data. It was shown that exponential filtering provides superior photoacoustic images of better quantitative accuracy. Moreover, the proposed filtering approach was observed to be less biased toward the regularization parameter and did not come with any additional computational burden as it was implemented within the Tikhonov filtering framework. It was also shown that the standard Tikhonov filtering becomes an approximation to the proposed exponential filtering. (C) 2016 Optical Society of America

Item Type: Journal Article
Additional Information: Copy right for this article belongs to the OPTICAL SOC AMER, 2010 MASSACHUSETTS AVE NW, WASHINGTON, DC 20036 USA
Department/Centre: Division of Interdisciplinary Research > Computational and Data Sciences
Depositing User: Id for Latest eprints
Date Deposited: 03 Dec 2016 09:29
Last Modified: 11 Oct 2018 14:40
URI: http://eprints.iisc.ac.in/id/eprint/55356

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