Optoacoustic inversion via convolution kernel reconstruction in the paraxial approximation and beyond

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dc.identifier.uri http://dx.doi.org/10.15488/4732
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/4774
dc.contributor.author Melchert, Oliver ger
dc.contributor.author Wollweber, Merve ger
dc.contributor.author Roth, Wilhelm ger
dc.date.accessioned 2019-04-23T09:26:26Z
dc.date.available 2019-04-23T09:26:26Z
dc.date.issued 2018
dc.identifier.citation Melchert, O.; Wollweber, M.; Roth; B.: Optoacoustic inversion via convolution kernel reconstruction in the paraxial approximation and beyond. In: Photoacoustics 13 (2019), S. 1-5. DOI: https://doi.org/10.1016/j.pacs.2018.10.004 ger
dc.description.abstract In this article we address the numeric inversion of optoacoustic signals to initial stress profiles. Therefore we study a Volterra integral equation of the second kind that describes the shape transformation of propagating stress waves in the paraxial approximation of the underlying wave-equation. Expanding the optoacoustic convolution kernel in terms of a Fourier-series, a best fit to a pair of observed near-field and far-field signals allows to obtain a sequence of expansion coefficients that describe a given “apparative” setup. The resulting effective kernel is used to solve the optoacoustic source reconstruction problem using a Picard-Lindelöf correction scheme. We verify the validity of the proposed inversion protocol for synthetic input signals and explore the feasibility of our approach to also account for the shape transformation of signals beyond the paraxial approximation including the inversion of experimental data stemming from measurements on melanin doped PVA hydrogel tissue phantoms. ger
dc.language.iso eng ger
dc.publisher Amsterdam : Elsevier
dc.relation.ispartofseries Photoacoustics 13 (2019) ger
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject Optoacoustics eng
dc.subject Volterra integral equation of the second kind eng
dc.subject Tissue phantom eng
dc.subject.ddc 610 | Medizin, Gesundheit ger
dc.title Optoacoustic inversion via convolution kernel reconstruction in the paraxial approximation and beyond ger
dc.type Article ger
dc.type Text ger
dc.relation.isbn 10.1016/j.pacs.2018.10.004
dc.relation.issn 2213-5979
dc.bibliographicCitation.firstPage 1
dc.bibliographicCitation.lastPage 5
dc.description.version publishedVersion ger
tib.accessRights frei zug�nglich


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