A Comparative Study of Time Domain Compressed Sensing Techniques for Optoacoustic Imaging

Autores
Hirsch, Lucas; González, Martín Germán; Rey Vega, Leonardo Javier
Año de publicación
2022
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Speeding up data acquisition and reducing the complexity of the detection system are among the central goals for advancing optoacoustic imaging. In this way, new reconstruction algorithms using the compressed sensing (CS) formalism have received considerable interest in recent years. This work presents a comparative study of reconstruction algorithms using time-domain CS schemes for optoacoustic tomography. This is motivated by the well-known capabilities of the CS paradigm in achieving good reconstruction performance even with limited sensing capabilities. Formulation of the mathematical problem is provided along with simulation results, where the performance of different representation basis used in time-domain CS strategies are analyzed in a qualitative and quantitative fashion. Comparison with a well-established optoacoustic tomography reconstruction technique as backprojection is also provided. These experiments show the suitability of time-domain CS techniques for this application and point out that the use of the canonical basis for the representation of the optoacoustic measurements is well suited in comparison with other more sophisticated basis.
Fil: Hirsch, Lucas. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: González, Martín Germán. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rey Vega, Leonardo Javier. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
COMPRESSED SENSING
OPTOACOUSTIC IMAGING
RECONSTRUCTION ALGORITHMS
TIME DOMAIN MODELS
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:11336/161273
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A Comparative Study of Time Domain Compressed Sensing Techniques for Optoacoustic ImagingHirsch, LucasGonzález, Martín GermánRey Vega, Leonardo JavierCOMPRESSED SENSINGOPTOACOUSTIC IMAGINGRECONSTRUCTION ALGORITHMSTIME DOMAIN MODELShttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Speeding up data acquisition and reducing the complexity of the detection system are among the central goals for advancing optoacoustic imaging. In this way, new reconstruction algorithms using the compressed sensing (CS) formalism have received considerable interest in recent years. This work presents a comparative study of reconstruction algorithms using time-domain CS schemes for optoacoustic tomography. This is motivated by the well-known capabilities of the CS paradigm in achieving good reconstruction performance even with limited sensing capabilities. Formulation of the mathematical problem is provided along with simulation results, where the performance of different representation basis used in time-domain CS strategies are analyzed in a qualitative and quantitative fashion. Comparison with a well-established optoacoustic tomography reconstruction technique as backprojection is also provided. These experiments show the suitability of time-domain CS techniques for this application and point out that the use of the canonical basis for the representation of the optoacoustic measurements is well suited in comparison with other more sophisticated basis.Fil: Hirsch, Lucas. Universidad de Buenos Aires. Facultad de Ingeniería; ArgentinaFil: González, Martín Germán. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Rey Vega, Leonardo Javier. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaInstitute of Electrical and Electronics Engineers2022-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/161273Hirsch, Lucas; González, Martín Germán; Rey Vega, Leonardo Javier; A Comparative Study of Time Domain Compressed Sensing Techniques for Optoacoustic Imaging; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 20; 6; 4-2022; 1018-10241548-0992CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/url/https://latamt.ieeer9.org/index.php/transactions/article/view/6247info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2022.9757745info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:56:18Zoai:ri.conicet.gov.ar:11336/161273instacron: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 09:56:19.046CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A Comparative Study of Time Domain Compressed Sensing Techniques for Optoacoustic Imaging
title A Comparative Study of Time Domain Compressed Sensing Techniques for Optoacoustic Imaging
spellingShingle A Comparative Study of Time Domain Compressed Sensing Techniques for Optoacoustic Imaging
Hirsch, Lucas
COMPRESSED SENSING
OPTOACOUSTIC IMAGING
RECONSTRUCTION ALGORITHMS
TIME DOMAIN MODELS
title_short A Comparative Study of Time Domain Compressed Sensing Techniques for Optoacoustic Imaging
title_full A Comparative Study of Time Domain Compressed Sensing Techniques for Optoacoustic Imaging
title_fullStr A Comparative Study of Time Domain Compressed Sensing Techniques for Optoacoustic Imaging
title_full_unstemmed A Comparative Study of Time Domain Compressed Sensing Techniques for Optoacoustic Imaging
title_sort A Comparative Study of Time Domain Compressed Sensing Techniques for Optoacoustic Imaging
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 COMPRESSED SENSING
OPTOACOUSTIC IMAGING
RECONSTRUCTION ALGORITHMS
TIME DOMAIN MODELS
topic COMPRESSED SENSING
OPTOACOUSTIC IMAGING
RECONSTRUCTION ALGORITHMS
TIME DOMAIN MODELS
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Speeding up data acquisition and reducing the complexity of the detection system are among the central goals for advancing optoacoustic imaging. In this way, new reconstruction algorithms using the compressed sensing (CS) formalism have received considerable interest in recent years. This work presents a comparative study of reconstruction algorithms using time-domain CS schemes for optoacoustic tomography. This is motivated by the well-known capabilities of the CS paradigm in achieving good reconstruction performance even with limited sensing capabilities. Formulation of the mathematical problem is provided along with simulation results, where the performance of different representation basis used in time-domain CS strategies are analyzed in a qualitative and quantitative fashion. Comparison with a well-established optoacoustic tomography reconstruction technique as backprojection is also provided. These experiments show the suitability of time-domain CS techniques for this application and point out that the use of the canonical basis for the representation of the optoacoustic measurements is well suited in comparison with other more sophisticated basis.
Fil: Hirsch, Lucas. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: González, Martín Germán. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rey Vega, Leonardo Javier. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description Speeding up data acquisition and reducing the complexity of the detection system are among the central goals for advancing optoacoustic imaging. In this way, new reconstruction algorithms using the compressed sensing (CS) formalism have received considerable interest in recent years. This work presents a comparative study of reconstruction algorithms using time-domain CS schemes for optoacoustic tomography. This is motivated by the well-known capabilities of the CS paradigm in achieving good reconstruction performance even with limited sensing capabilities. Formulation of the mathematical problem is provided along with simulation results, where the performance of different representation basis used in time-domain CS strategies are analyzed in a qualitative and quantitative fashion. Comparison with a well-established optoacoustic tomography reconstruction technique as backprojection is also provided. These experiments show the suitability of time-domain CS techniques for this application and point out that the use of the canonical basis for the representation of the optoacoustic measurements is well suited in comparison with other more sophisticated basis.
publishDate 2022
dc.date.none.fl_str_mv 2022-04
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/11336/161273
Hirsch, Lucas; González, Martín Germán; Rey Vega, Leonardo Javier; A Comparative Study of Time Domain Compressed Sensing Techniques for Optoacoustic Imaging; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 20; 6; 4-2022; 1018-1024
1548-0992
CONICET Digital
CONICET
url http://hdl.handle.net/11336/161273
identifier_str_mv Hirsch, Lucas; González, Martín Germán; Rey Vega, Leonardo Javier; A Comparative Study of Time Domain Compressed Sensing Techniques for Optoacoustic Imaging; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 20; 6; 4-2022; 1018-1024
1548-0992
CONICET Digital
CONICET
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://latamt.ieeer9.org/index.php/transactions/article/view/6247
info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2022.9757745
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
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
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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score 13.13397

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