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Acoustic Reconstruction for Photothermal Imaging
Pulsed illumination of a sample, e.g., of a biological tissue, causes a sudden temperature increase of light absorbing structures, such as blood vessels, which results in an outgoing acoustic wave, as well as heat diffusion, of the absorbed energy. Both of the signals, pressure and temperature, can...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164581/ https://www.ncbi.nlm.nih.gov/pubmed/30158507 http://dx.doi.org/10.3390/bioengineering5030070 |
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author | Burgholzer, Peter Stockner, Gregor Mayr, Guenther |
author_facet | Burgholzer, Peter Stockner, Gregor Mayr, Guenther |
author_sort | Burgholzer, Peter |
collection | PubMed |
description | Pulsed illumination of a sample, e.g., of a biological tissue, causes a sudden temperature increase of light absorbing structures, such as blood vessels, which results in an outgoing acoustic wave, as well as heat diffusion, of the absorbed energy. Both of the signals, pressure and temperature, can be measured at the sample surface and are used to reconstruct the initial temperature or pressure distribution, called photoacoustic or photothermal reconstruction respectively. We have demonstrated that both signals at the same surface pixel are connected by a temporal transformation. This allows for the calculation of a so-called acoustical virtual wave from the surface temperature evolution as measured by an infrared camera. The virtual wave is the solution of a wave equation and can be used to reconstruct the initial temperature distribution immediately after the excitation pulse. This virtual wave reconstruction method was used for the reconstruction of inclined steel rods in an epoxy sample, which were heated by a short pulse. The reconstructed experimental images show clearly the degradation of the spatial resolution with increasing depth, which is theoretically described by a depth-dependent thermographic point-spread-function. |
format | Online Article Text |
id | pubmed-6164581 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61645812018-10-11 Acoustic Reconstruction for Photothermal Imaging Burgholzer, Peter Stockner, Gregor Mayr, Guenther Bioengineering (Basel) Article Pulsed illumination of a sample, e.g., of a biological tissue, causes a sudden temperature increase of light absorbing structures, such as blood vessels, which results in an outgoing acoustic wave, as well as heat diffusion, of the absorbed energy. Both of the signals, pressure and temperature, can be measured at the sample surface and are used to reconstruct the initial temperature or pressure distribution, called photoacoustic or photothermal reconstruction respectively. We have demonstrated that both signals at the same surface pixel are connected by a temporal transformation. This allows for the calculation of a so-called acoustical virtual wave from the surface temperature evolution as measured by an infrared camera. The virtual wave is the solution of a wave equation and can be used to reconstruct the initial temperature distribution immediately after the excitation pulse. This virtual wave reconstruction method was used for the reconstruction of inclined steel rods in an epoxy sample, which were heated by a short pulse. The reconstructed experimental images show clearly the degradation of the spatial resolution with increasing depth, which is theoretically described by a depth-dependent thermographic point-spread-function. MDPI 2018-08-29 /pmc/articles/PMC6164581/ /pubmed/30158507 http://dx.doi.org/10.3390/bioengineering5030070 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Burgholzer, Peter Stockner, Gregor Mayr, Guenther Acoustic Reconstruction for Photothermal Imaging |
title | Acoustic Reconstruction for Photothermal Imaging |
title_full | Acoustic Reconstruction for Photothermal Imaging |
title_fullStr | Acoustic Reconstruction for Photothermal Imaging |
title_full_unstemmed | Acoustic Reconstruction for Photothermal Imaging |
title_short | Acoustic Reconstruction for Photothermal Imaging |
title_sort | acoustic reconstruction for photothermal imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164581/ https://www.ncbi.nlm.nih.gov/pubmed/30158507 http://dx.doi.org/10.3390/bioengineering5030070 |
work_keys_str_mv | AT burgholzerpeter acousticreconstructionforphotothermalimaging AT stocknergregor acousticreconstructionforphotothermalimaging AT mayrguenther acousticreconstructionforphotothermalimaging |