On the robustness of model-based algorithms for photoacoustic tomography: Comparison between time and frequency domains

Autores
Hirsch, Lucas; González, Martín Germán; Rey Vega, Leonardo Javier
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
For photoacoustic image reconstruction, certain parameters such as sensor positions and speed of sound have a major impact on the reconstruction process and must be carefully determined before data acquisition. Uncertainties in these parameters can lead to errors produced by a modeling mismatch, hindering the reconstruction process and severely affecting the resulting image quality. Therefore, in this work, we study how modeling errors arising from uncertainty in sensor locations affect the images obtained by matrix model-based reconstruction algorithms based on time domain and frequency domain models of the photoacoustic problem. The effects on the reconstruction performance with respect to the uncertainty in the knowledge of the sensors location are compared and analyzed both in a qualitative and quantitative fashion for both time and frequency models. Ultimately, our study shows that the frequency domain approach is more sensitive to this kind of modeling errors. These conclusions are supported by numerical experiments and a theoretical sensitivity analysis of the mathematical operator for the direct problem.
Fil: Hirsch, Lucas. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Física; Argentina
Fil: González, Martín Germán. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Física; Argentina
Fil: Rey Vega, Leonardo Javier. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Física; Argentina
Materia
OPTOACUSTIC TOMOGRAPHY
IMAGE RECONSTRUCTION
COMPRESSED SENSING
MODELLING ERRORS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/201321
Acceder
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network_name_str CONICET Digital (CONICET)
spelling On the robustness of model-based algorithms for photoacoustic tomography: Comparison between time and frequency domainsHirsch, LucasGonzález, Martín GermánRey Vega, Leonardo JavierOPTOACUSTIC TOMOGRAPHYIMAGE RECONSTRUCTIONCOMPRESSED SENSINGMODELLING ERRORShttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2For photoacoustic image reconstruction, certain parameters such as sensor positions and speed of sound have a major impact on the reconstruction process and must be carefully determined before data acquisition. Uncertainties in these parameters can lead to errors produced by a modeling mismatch, hindering the reconstruction process and severely affecting the resulting image quality. Therefore, in this work, we study how modeling errors arising from uncertainty in sensor locations affect the images obtained by matrix model-based reconstruction algorithms based on time domain and frequency domain models of the photoacoustic problem. The effects on the reconstruction performance with respect to the uncertainty in the knowledge of the sensors location are compared and analyzed both in a qualitative and quantitative fashion for both time and frequency models. Ultimately, our study shows that the frequency domain approach is more sensitive to this kind of modeling errors. These conclusions are supported by numerical experiments and a theoretical sensitivity analysis of the mathematical operator for the direct problem.Fil: Hirsch, Lucas. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Física; ArgentinaFil: González, Martín Germán. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Física; ArgentinaFil: Rey Vega, Leonardo Javier. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Física; ArgentinaAmerican Institute of Physics2021-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/201321Hirsch, Lucas; González, Martín Germán; Rey Vega, Leonardo Javier; On the robustness of model-based algorithms for photoacoustic tomography: Comparison between time and frequency domains; American Institute of Physics; Review of Scientific Instruments; 92; 11; 11-2021; 1-100034-6748CONICET DigitalCONICETenghttps://ri.conicet.gov.ar/handle/11336/184218info:eu-repo/semantics/altIdentifier/url/https://pubs.aip.org/aip/rsi/article/92/11/114901/596267/On-the-robustness-of-model-based-algorithms-forinfo:eu-repo/semantics/altIdentifier/doi/10.1063/5.0065966info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:50:50Zoai:ri.conicet.gov.ar:11336/201321instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:50:51.22CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv On the robustness of model-based algorithms for photoacoustic tomography: Comparison between time and frequency domains
title On the robustness of model-based algorithms for photoacoustic tomography: Comparison between time and frequency domains
spellingShingle On the robustness of model-based algorithms for photoacoustic tomography: Comparison between time and frequency domains
Hirsch, Lucas
OPTOACUSTIC TOMOGRAPHY
IMAGE RECONSTRUCTION
COMPRESSED SENSING
MODELLING ERRORS
title_short On the robustness of model-based algorithms for photoacoustic tomography: Comparison between time and frequency domains
title_full On the robustness of model-based algorithms for photoacoustic tomography: Comparison between time and frequency domains
title_fullStr On the robustness of model-based algorithms for photoacoustic tomography: Comparison between time and frequency domains
title_full_unstemmed On the robustness of model-based algorithms for photoacoustic tomography: Comparison between time and frequency domains
title_sort On the robustness of model-based algorithms for photoacoustic tomography: Comparison between time and frequency domains
dc.creator.none.fl_str_mv Hirsch, Lucas
González, Martín Germán
Rey Vega, Leonardo Javier
author Hirsch, Lucas
author_facet Hirsch, Lucas
González, Martín Germán
Rey Vega, Leonardo Javier
author_role author
author2 González, Martín Germán
Rey Vega, Leonardo Javier
author2_role author
author
dc.subject.none.fl_str_mv OPTOACUSTIC TOMOGRAPHY
IMAGE RECONSTRUCTION
COMPRESSED SENSING
MODELLING ERRORS
topic OPTOACUSTIC TOMOGRAPHY
IMAGE RECONSTRUCTION
COMPRESSED SENSING
MODELLING ERRORS
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv For photoacoustic image reconstruction, certain parameters such as sensor positions and speed of sound have a major impact on the reconstruction process and must be carefully determined before data acquisition. Uncertainties in these parameters can lead to errors produced by a modeling mismatch, hindering the reconstruction process and severely affecting the resulting image quality. Therefore, in this work, we study how modeling errors arising from uncertainty in sensor locations affect the images obtained by matrix model-based reconstruction algorithms based on time domain and frequency domain models of the photoacoustic problem. The effects on the reconstruction performance with respect to the uncertainty in the knowledge of the sensors location are compared and analyzed both in a qualitative and quantitative fashion for both time and frequency models. Ultimately, our study shows that the frequency domain approach is more sensitive to this kind of modeling errors. These conclusions are supported by numerical experiments and a theoretical sensitivity analysis of the mathematical operator for the direct problem.
Fil: Hirsch, Lucas. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Física; Argentina
Fil: González, Martín Germán. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Física; Argentina
Fil: Rey Vega, Leonardo Javier. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería. Departamento de Física; Argentina
description For photoacoustic image reconstruction, certain parameters such as sensor positions and speed of sound have a major impact on the reconstruction process and must be carefully determined before data acquisition. Uncertainties in these parameters can lead to errors produced by a modeling mismatch, hindering the reconstruction process and severely affecting the resulting image quality. Therefore, in this work, we study how modeling errors arising from uncertainty in sensor locations affect the images obtained by matrix model-based reconstruction algorithms based on time domain and frequency domain models of the photoacoustic problem. The effects on the reconstruction performance with respect to the uncertainty in the knowledge of the sensors location are compared and analyzed both in a qualitative and quantitative fashion for both time and frequency models. Ultimately, our study shows that the frequency domain approach is more sensitive to this kind of modeling errors. These conclusions are supported by numerical experiments and a theoretical sensitivity analysis of the mathematical operator for the direct problem.
publishDate 2021
dc.date.none.fl_str_mv 2021-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/201321
Hirsch, Lucas; González, Martín Germán; Rey Vega, Leonardo Javier; On the robustness of model-based algorithms for photoacoustic tomography: Comparison between time and frequency domains; American Institute of Physics; Review of Scientific Instruments; 92; 11; 11-2021; 1-10
0034-6748
CONICET Digital
CONICET
url http://hdl.handle.net/11336/201321
identifier_str_mv Hirsch, Lucas; González, Martín Germán; Rey Vega, Leonardo Javier; On the robustness of model-based algorithms for photoacoustic tomography: Comparison between time and frequency domains; American Institute of Physics; Review of Scientific Instruments; 92; 11; 11-2021; 1-10
0034-6748
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ri.conicet.gov.ar/handle/11336/184218
info:eu-repo/semantics/altIdentifier/url/https://pubs.aip.org/aip/rsi/article/92/11/114901/596267/On-the-robustness-of-model-based-algorithms-for
info:eu-repo/semantics/altIdentifier/doi/10.1063/5.0065966
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Institute of Physics
publisher.none.fl_str_mv American Institute of Physics
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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