Mechanical Characterization of the Vessel Wall by Data Assimilation of Intravascular Ultrasound Studies

Autores
Maso Talou, Gonzalo Daniel; Blanco, Pablo Javier; Ares, Gonzalo Damián; Guedes Bezerra, Cristiano; Lemos, Pedro A.; Feijóo, Raúl Antonino
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Atherosclerotic plaque rupture and erosion are the most important mechanisms underlying the sudden plaque growth, responsible for acute coronary syndromes and even fatal cardiac events. Advances in the understanding of the culprit plaque structure and composition are already reported in the literature, however, there is still much work to be done toward in-vivo plaque visualization and mechanical characterization to assess plaque stability, patient risk, diagnosis and treatment prognosis. In this work, a methodology for the mechanical characterization of the vessel wall plaque and tissues is proposed based on the combination of intravascular ultrasound (IVUS) imaging processing, data assimilation and continuum mechanics models within a high performance computing (HPC) environment. Initially, the IVUS study is gated to obtain volumes of image sequences corresponding to the vessel of interest at different cardiac phases. These sequences are registered against the sequence of the end-diastolic phase to remove transversal and longitudinal rigid motions prescribed by the moving environment due to the heartbeat. Then, optical flow between the image sequences is computed to obtain the displacement fields of the vessel (each associated to a certain pressure level). The obtained displacement fields are regarded as observations within a data assimilation paradigm, which aims to estimate the material parameters of the tissues within the vessel wall. Specifically, a reduced order unscented Kalman filter is employed, endowed with a forward operator which amounts to address the solution of a hyperelastic solid mechanics model in the finite strain regime taking into account the axially stretched state of the vessel, as well as the effect of internal and external forces acting on the arterial wall. Due to the computational burden, a HPC approach is mandatory. Hence, the data assimilation and computational solid mechanics computations are parallelized at three levels: (i) a Kalman filter level; (ii) a cardiac phase level; and (iii) a mesh partitioning level. To illustrate the capabilities of this novel methodology toward the in-vivo analysis of patient-specific vessel constituents, mechanical material parameters are estimated using in-silico and in-vivo data retrieved from IVUS studies. Limitations and potentials of this approach are exposed and discussed.
Fil: Maso Talou, Gonzalo Daniel. Laboratorio Nacional de Computacao Cientifica; Brasil
Fil: Blanco, Pablo Javier. Laboratorio Nacional de Computacao Cientifica; Brasil
Fil: Ares, Gonzalo Damián. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Mecanica. Grupo de Ingeniería Asistida Por Computador; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Guedes Bezerra, Cristiano. Heart Institute (Incor); Brasil
Fil: Lemos, Pedro A.. Heart Institute (Incor); Brasil
Fil: Feijóo, Raúl Antonino. Laboratorio Nacional de Computacao Cientifica; Brasil
Materia
CORONARY ARTERY
REDUCED ORDER UNSCENTED KALMAN FILTER
ARTERIAL WALL
PARAMETER ESTIMATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/102493

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network_name_str CONICET Digital (CONICET)
spelling Mechanical Characterization of the Vessel Wall by Data Assimilation of Intravascular Ultrasound StudiesMaso Talou, Gonzalo DanielBlanco, Pablo JavierAres, Gonzalo DamiánGuedes Bezerra, CristianoLemos, Pedro A.Feijóo, Raúl AntoninoCORONARY ARTERYREDUCED ORDER UNSCENTED KALMAN FILTERARTERIAL WALLPARAMETER ESTIMATIONhttps://purl.org/becyt/ford/2.6https://purl.org/becyt/ford/2Atherosclerotic plaque rupture and erosion are the most important mechanisms underlying the sudden plaque growth, responsible for acute coronary syndromes and even fatal cardiac events. Advances in the understanding of the culprit plaque structure and composition are already reported in the literature, however, there is still much work to be done toward in-vivo plaque visualization and mechanical characterization to assess plaque stability, patient risk, diagnosis and treatment prognosis. In this work, a methodology for the mechanical characterization of the vessel wall plaque and tissues is proposed based on the combination of intravascular ultrasound (IVUS) imaging processing, data assimilation and continuum mechanics models within a high performance computing (HPC) environment. Initially, the IVUS study is gated to obtain volumes of image sequences corresponding to the vessel of interest at different cardiac phases. These sequences are registered against the sequence of the end-diastolic phase to remove transversal and longitudinal rigid motions prescribed by the moving environment due to the heartbeat. Then, optical flow between the image sequences is computed to obtain the displacement fields of the vessel (each associated to a certain pressure level). The obtained displacement fields are regarded as observations within a data assimilation paradigm, which aims to estimate the material parameters of the tissues within the vessel wall. Specifically, a reduced order unscented Kalman filter is employed, endowed with a forward operator which amounts to address the solution of a hyperelastic solid mechanics model in the finite strain regime taking into account the axially stretched state of the vessel, as well as the effect of internal and external forces acting on the arterial wall. Due to the computational burden, a HPC approach is mandatory. Hence, the data assimilation and computational solid mechanics computations are parallelized at three levels: (i) a Kalman filter level; (ii) a cardiac phase level; and (iii) a mesh partitioning level. To illustrate the capabilities of this novel methodology toward the in-vivo analysis of patient-specific vessel constituents, mechanical material parameters are estimated using in-silico and in-vivo data retrieved from IVUS studies. Limitations and potentials of this approach are exposed and discussed.Fil: Maso Talou, Gonzalo Daniel. Laboratorio Nacional de Computacao Cientifica; BrasilFil: Blanco, Pablo Javier. Laboratorio Nacional de Computacao Cientifica; BrasilFil: Ares, Gonzalo Damián. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Mecanica. Grupo de Ingeniería Asistida Por Computador; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; ArgentinaFil: Guedes Bezerra, Cristiano. Heart Institute (Incor); BrasilFil: Lemos, Pedro A.. Heart Institute (Incor); BrasilFil: Feijóo, Raúl Antonino. Laboratorio Nacional de Computacao Cientifica; BrasilFrontiers Media S.A.2018-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/102493Maso Talou, Gonzalo Daniel; Blanco, Pablo Javier; Ares, Gonzalo Damián; Guedes Bezerra, Cristiano; Lemos, Pedro A.; et al.; Mechanical Characterization of the Vessel Wall by Data Assimilation of Intravascular Ultrasound Studies; Frontiers Media S.A.; Frontiers in Physiology; 9; 3-2018; 1-251664-042XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://journal.frontiersin.org/article/10.3389/fphys.2018.00292/fullinfo:eu-repo/semantics/altIdentifier/doi/10.3389/fphys.2018.00292info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:59:09Zoai:ri.conicet.gov.ar:11336/102493instacron: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 09:59:10.113CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Mechanical Characterization of the Vessel Wall by Data Assimilation of Intravascular Ultrasound Studies
title Mechanical Characterization of the Vessel Wall by Data Assimilation of Intravascular Ultrasound Studies
spellingShingle Mechanical Characterization of the Vessel Wall by Data Assimilation of Intravascular Ultrasound Studies
Maso Talou, Gonzalo Daniel
CORONARY ARTERY
REDUCED ORDER UNSCENTED KALMAN FILTER
ARTERIAL WALL
PARAMETER ESTIMATION
title_short Mechanical Characterization of the Vessel Wall by Data Assimilation of Intravascular Ultrasound Studies
title_full Mechanical Characterization of the Vessel Wall by Data Assimilation of Intravascular Ultrasound Studies
title_fullStr Mechanical Characterization of the Vessel Wall by Data Assimilation of Intravascular Ultrasound Studies
title_full_unstemmed Mechanical Characterization of the Vessel Wall by Data Assimilation of Intravascular Ultrasound Studies
title_sort Mechanical Characterization of the Vessel Wall by Data Assimilation of Intravascular Ultrasound Studies
dc.creator.none.fl_str_mv Maso Talou, Gonzalo Daniel
Blanco, Pablo Javier
Ares, Gonzalo Damián
Guedes Bezerra, Cristiano
Lemos, Pedro A.
Feijóo, Raúl Antonino
author Maso Talou, Gonzalo Daniel
author_facet Maso Talou, Gonzalo Daniel
Blanco, Pablo Javier
Ares, Gonzalo Damián
Guedes Bezerra, Cristiano
Lemos, Pedro A.
Feijóo, Raúl Antonino
author_role author
author2 Blanco, Pablo Javier
Ares, Gonzalo Damián
Guedes Bezerra, Cristiano
Lemos, Pedro A.
Feijóo, Raúl Antonino
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv CORONARY ARTERY
REDUCED ORDER UNSCENTED KALMAN FILTER
ARTERIAL WALL
PARAMETER ESTIMATION
topic CORONARY ARTERY
REDUCED ORDER UNSCENTED KALMAN FILTER
ARTERIAL WALL
PARAMETER ESTIMATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.6
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Atherosclerotic plaque rupture and erosion are the most important mechanisms underlying the sudden plaque growth, responsible for acute coronary syndromes and even fatal cardiac events. Advances in the understanding of the culprit plaque structure and composition are already reported in the literature, however, there is still much work to be done toward in-vivo plaque visualization and mechanical characterization to assess plaque stability, patient risk, diagnosis and treatment prognosis. In this work, a methodology for the mechanical characterization of the vessel wall plaque and tissues is proposed based on the combination of intravascular ultrasound (IVUS) imaging processing, data assimilation and continuum mechanics models within a high performance computing (HPC) environment. Initially, the IVUS study is gated to obtain volumes of image sequences corresponding to the vessel of interest at different cardiac phases. These sequences are registered against the sequence of the end-diastolic phase to remove transversal and longitudinal rigid motions prescribed by the moving environment due to the heartbeat. Then, optical flow between the image sequences is computed to obtain the displacement fields of the vessel (each associated to a certain pressure level). The obtained displacement fields are regarded as observations within a data assimilation paradigm, which aims to estimate the material parameters of the tissues within the vessel wall. Specifically, a reduced order unscented Kalman filter is employed, endowed with a forward operator which amounts to address the solution of a hyperelastic solid mechanics model in the finite strain regime taking into account the axially stretched state of the vessel, as well as the effect of internal and external forces acting on the arterial wall. Due to the computational burden, a HPC approach is mandatory. Hence, the data assimilation and computational solid mechanics computations are parallelized at three levels: (i) a Kalman filter level; (ii) a cardiac phase level; and (iii) a mesh partitioning level. To illustrate the capabilities of this novel methodology toward the in-vivo analysis of patient-specific vessel constituents, mechanical material parameters are estimated using in-silico and in-vivo data retrieved from IVUS studies. Limitations and potentials of this approach are exposed and discussed.
Fil: Maso Talou, Gonzalo Daniel. Laboratorio Nacional de Computacao Cientifica; Brasil
Fil: Blanco, Pablo Javier. Laboratorio Nacional de Computacao Cientifica; Brasil
Fil: Ares, Gonzalo Damián. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Mecanica. Grupo de Ingeniería Asistida Por Computador; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Guedes Bezerra, Cristiano. Heart Institute (Incor); Brasil
Fil: Lemos, Pedro A.. Heart Institute (Incor); Brasil
Fil: Feijóo, Raúl Antonino. Laboratorio Nacional de Computacao Cientifica; Brasil
description Atherosclerotic plaque rupture and erosion are the most important mechanisms underlying the sudden plaque growth, responsible for acute coronary syndromes and even fatal cardiac events. Advances in the understanding of the culprit plaque structure and composition are already reported in the literature, however, there is still much work to be done toward in-vivo plaque visualization and mechanical characterization to assess plaque stability, patient risk, diagnosis and treatment prognosis. In this work, a methodology for the mechanical characterization of the vessel wall plaque and tissues is proposed based on the combination of intravascular ultrasound (IVUS) imaging processing, data assimilation and continuum mechanics models within a high performance computing (HPC) environment. Initially, the IVUS study is gated to obtain volumes of image sequences corresponding to the vessel of interest at different cardiac phases. These sequences are registered against the sequence of the end-diastolic phase to remove transversal and longitudinal rigid motions prescribed by the moving environment due to the heartbeat. Then, optical flow between the image sequences is computed to obtain the displacement fields of the vessel (each associated to a certain pressure level). The obtained displacement fields are regarded as observations within a data assimilation paradigm, which aims to estimate the material parameters of the tissues within the vessel wall. Specifically, a reduced order unscented Kalman filter is employed, endowed with a forward operator which amounts to address the solution of a hyperelastic solid mechanics model in the finite strain regime taking into account the axially stretched state of the vessel, as well as the effect of internal and external forces acting on the arterial wall. Due to the computational burden, a HPC approach is mandatory. Hence, the data assimilation and computational solid mechanics computations are parallelized at three levels: (i) a Kalman filter level; (ii) a cardiac phase level; and (iii) a mesh partitioning level. To illustrate the capabilities of this novel methodology toward the in-vivo analysis of patient-specific vessel constituents, mechanical material parameters are estimated using in-silico and in-vivo data retrieved from IVUS studies. Limitations and potentials of this approach are exposed and discussed.
publishDate 2018
dc.date.none.fl_str_mv 2018-03
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/11336/102493
Maso Talou, Gonzalo Daniel; Blanco, Pablo Javier; Ares, Gonzalo Damián; Guedes Bezerra, Cristiano; Lemos, Pedro A.; et al.; Mechanical Characterization of the Vessel Wall by Data Assimilation of Intravascular Ultrasound Studies; Frontiers Media S.A.; Frontiers in Physiology; 9; 3-2018; 1-25
1664-042X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/102493
identifier_str_mv Maso Talou, Gonzalo Daniel; Blanco, Pablo Javier; Ares, Gonzalo Damián; Guedes Bezerra, Cristiano; Lemos, Pedro A.; et al.; Mechanical Characterization of the Vessel Wall by Data Assimilation of Intravascular Ultrasound Studies; Frontiers Media S.A.; Frontiers in Physiology; 9; 3-2018; 1-25
1664-042X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://journal.frontiersin.org/article/10.3389/fphys.2018.00292/full
info:eu-repo/semantics/altIdentifier/doi/10.3389/fphys.2018.00292
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Frontiers Media S.A.
publisher.none.fl_str_mv Frontiers Media S.A.
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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