Photoacoustic imaging reconstruction using combined nonlocal patch and total-variation regularization for straight-line scanning
BACKGROUND: For practical straight-line scanning in photoacoustic imaging (PAI), serious artifacts caused by missing data will occur. Traditional total variation (TV)-based algorithms fail to obtain satisfactory results, with an over-smoothed and blurred geometric structure. Therefore, it is importa...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6076421/ https://www.ncbi.nlm.nih.gov/pubmed/30075784 http://dx.doi.org/10.1186/s12938-018-0537-x |
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author | Wang, Jin Wang, Yuanyuan |
author_facet | Wang, Jin Wang, Yuanyuan |
author_sort | Wang, Jin |
collection | PubMed |
description | BACKGROUND: For practical straight-line scanning in photoacoustic imaging (PAI), serious artifacts caused by missing data will occur. Traditional total variation (TV)-based algorithms fail to obtain satisfactory results, with an over-smoothed and blurred geometric structure. Therefore, it is important to develop a new algorithm to improve the quality of practical straight-line reconstructed images. METHODS: In this paper, a combined nonlocal patch and TV-based regularization model for PAI reconstruction is proposed to solve these problems. A modified adaptive nonlocal weight function is adopted to provide more reliable estimations for the similarities between patches. Similar patches are searched for throughout the entire image; thus, this model realizes adaptive search for the neighborhood of the patch. The optimization problem is simplified to a common iterative PAI reconstruction problem. RESULTS AND CONCLUSION: The proposed algorithm is validated by a series of numerical simulations and an in vitro experiment for straight-line scanning. The results of patch-TV are compared to those of two mainstream TV-based algorithms as well as the iterative algorithm only with patch-based regularization. Moreover, the peak signal-to-noise ratio, the noise robustness, and the convergence and calculation speeds are compared and discussed. The results show that the proposed patch-TV yields significant improvement over the other three algorithms qualitatively and quantitatively. These simulations and experiment indicate that the patch-TV algorithm successfully solves the problems of PAI reconstruction and is highly effective in practical PAI applications. |
format | Online Article Text |
id | pubmed-6076421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60764212018-08-07 Photoacoustic imaging reconstruction using combined nonlocal patch and total-variation regularization for straight-line scanning Wang, Jin Wang, Yuanyuan Biomed Eng Online Research BACKGROUND: For practical straight-line scanning in photoacoustic imaging (PAI), serious artifacts caused by missing data will occur. Traditional total variation (TV)-based algorithms fail to obtain satisfactory results, with an over-smoothed and blurred geometric structure. Therefore, it is important to develop a new algorithm to improve the quality of practical straight-line reconstructed images. METHODS: In this paper, a combined nonlocal patch and TV-based regularization model for PAI reconstruction is proposed to solve these problems. A modified adaptive nonlocal weight function is adopted to provide more reliable estimations for the similarities between patches. Similar patches are searched for throughout the entire image; thus, this model realizes adaptive search for the neighborhood of the patch. The optimization problem is simplified to a common iterative PAI reconstruction problem. RESULTS AND CONCLUSION: The proposed algorithm is validated by a series of numerical simulations and an in vitro experiment for straight-line scanning. The results of patch-TV are compared to those of two mainstream TV-based algorithms as well as the iterative algorithm only with patch-based regularization. Moreover, the peak signal-to-noise ratio, the noise robustness, and the convergence and calculation speeds are compared and discussed. The results show that the proposed patch-TV yields significant improvement over the other three algorithms qualitatively and quantitatively. These simulations and experiment indicate that the patch-TV algorithm successfully solves the problems of PAI reconstruction and is highly effective in practical PAI applications. BioMed Central 2018-08-03 /pmc/articles/PMC6076421/ /pubmed/30075784 http://dx.doi.org/10.1186/s12938-018-0537-x Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Wang, Jin Wang, Yuanyuan Photoacoustic imaging reconstruction using combined nonlocal patch and total-variation regularization for straight-line scanning |
title | Photoacoustic imaging reconstruction using combined nonlocal patch and total-variation regularization for straight-line scanning |
title_full | Photoacoustic imaging reconstruction using combined nonlocal patch and total-variation regularization for straight-line scanning |
title_fullStr | Photoacoustic imaging reconstruction using combined nonlocal patch and total-variation regularization for straight-line scanning |
title_full_unstemmed | Photoacoustic imaging reconstruction using combined nonlocal patch and total-variation regularization for straight-line scanning |
title_short | Photoacoustic imaging reconstruction using combined nonlocal patch and total-variation regularization for straight-line scanning |
title_sort | photoacoustic imaging reconstruction using combined nonlocal patch and total-variation regularization for straight-line scanning |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6076421/ https://www.ncbi.nlm.nih.gov/pubmed/30075784 http://dx.doi.org/10.1186/s12938-018-0537-x |
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