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 .
Full text not available from this repository. (Request a copy)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 |
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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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