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Non-local means improves total-variation constrained photoacoustic image reconstruction

Yalavarthy, PK and Kalva, SK and Pramanik, M and Prakash, J (2020) Non-local means improves total-variation constrained photoacoustic image reconstruction. In: Journal of Biophotonics .

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Official URL: https://dx.doi.org/10.1002/jbio.202000191

Abstract

Photoacoustic/Optoacoustic tomography aims to reconstruct maps of the initial pressure rise induced by the absorption of light pulses in tissue. This reconstruction is an ill-conditioned and under-determined problem, when the data acquisition protocol involves limited detection positions. The aim of the work is to develop an inversion method which integrates denoising procedure within the iterative model-based reconstruction to improve quantitative performance of optoacoustic imaging. Among the model-based schemes, total-variation (TV) constrained reconstruction scheme is a popular approach. In this work, a two-step approach was proposed for improving the TV constrained optoacoustic inversion by adding a non-local means based filtering step within each TV iteration. Compared to TV-based reconstruction, inclusion of this non-local means step resulted in signal-to-noise ratio improvement of 2.5 dB in the reconstructed optoacoustic images. © 2020 Wiley-VCH GmbH

Item Type: Journal Article
Publication: Journal of Biophotonics
Publisher: Wiley-VCH Verlag
Additional Information: The copyright of this article belongs to Wiley-VCH Verlag
Keywords: Data acquisition; Image denoising; Image enhancement; Iterative methods; Light; Signal to noise ratio, Constrained reconstruction; Data acquisition protocol; Initial pressure; Inversion methods; Model-based OPC; Optoacoustic imaging; Two-step approach; Under-determined, Image reconstruction
Department/Centre: Division of Interdisciplinary Sciences > Computational and Data Sciences
Division of Physical & Mathematical Sciences > Instrumentation Appiled Physics
Date Deposited: 15 Mar 2021 10:19
Last Modified: 15 Mar 2021 10:19
URI: http://eprints.iisc.ac.in/id/eprint/67477

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