Improving Cardiac Phase Extraction in IVUS Studies by Integration of Gating Methods

Autores
Maso Talou, Gonzalo D.; Larrabide, Ignacio; Blanco, Pablo Javier; Bezerra, Cristiano Guedes; Lemos, Pedro A.; Feijóo, Raúl Antonino
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Goal: Coronary intravascular ultrasound (IVUS) is a fundamental imaging technique for atherosclerotic plaque assessment. However, volume-based data retrieved from IVUS studies can be misleading due to the artifacts generated by the cardiac motion, hindering diagnostic, and visualization of the vessel condition. Then, we propose an image-based gating method that improves the performance of the preexisting methods, delivering a gating in an appropriate time for clinical practice. Methods: We propose a fully automatic method to synergically integrate motion signals from different gating methods to improve the cardiac phase estimation. Additionally, we present a local extrema identification method that provides a more accurate extraction of a cardiac phase and, also, a scheme for multiple phase extraction mandatory for elastography-type studies. Results: A comparison with three state-of-the-art methods is performed over 61 in-vivo IVUS studies including a wide range of physiological situations. The results show that the proposed strategy offers: 1) a more accurate cardiac phase extraction; 2) a lower frame oversampling and/or omission in the extracted phase data (error of 1.492 ± 0.977 heartbeats per study, mean ± SD); 3) a more accurate and robust heartbeat period detection with a Bland-Altman coefficient of reproducibility (RPC) of 0.23 s, while the second closest method presents an RPC of 0.36 s. Significance: The integration of motion signals performed by our method shown an improvement of the gating accuracy and reliability.
Fil: Maso Talou, Gonzalo D.. Laboratorio Nacional de Computacao Cientifica; Brasil
Fil: Larrabide, Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina
Fil: Blanco, Pablo Javier. Laboratorio Nacional de Computacao Cientifica; Brasil
Fil: Bezerra, Cristiano Guedes. Universidade de Sao Paulo; Brasil
Fil: Lemos, Pedro A.. Universidade de Sao Paulo; Brasil
Fil: Feijóo, Raúl Antonino. Laboratorio Nacional de Computacao Cientifica; Brasil
Materia
Gating
Intravascular Ultrasound (Ivus)
Motion Compensation And Analysis
Ultrasound
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:11336/54998
Acceder
id CONICETDig_5eaebabf20efee0269eda661d416e9f2
oai_identifier_str oai:ri.conicet.gov.ar:11336/54998
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Improving Cardiac Phase Extraction in IVUS Studies by Integration of Gating MethodsMaso Talou, Gonzalo D.Larrabide, IgnacioBlanco, Pablo JavierBezerra, Cristiano GuedesLemos, Pedro A.Feijóo, Raúl AntoninoGatingIntravascular Ultrasound (Ivus)Motion Compensation And AnalysisUltrasoundhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Goal: Coronary intravascular ultrasound (IVUS) is a fundamental imaging technique for atherosclerotic plaque assessment. However, volume-based data retrieved from IVUS studies can be misleading due to the artifacts generated by the cardiac motion, hindering diagnostic, and visualization of the vessel condition. Then, we propose an image-based gating method that improves the performance of the preexisting methods, delivering a gating in an appropriate time for clinical practice. Methods: We propose a fully automatic method to synergically integrate motion signals from different gating methods to improve the cardiac phase estimation. Additionally, we present a local extrema identification method that provides a more accurate extraction of a cardiac phase and, also, a scheme for multiple phase extraction mandatory for elastography-type studies. Results: A comparison with three state-of-the-art methods is performed over 61 in-vivo IVUS studies including a wide range of physiological situations. The results show that the proposed strategy offers: 1) a more accurate cardiac phase extraction; 2) a lower frame oversampling and/or omission in the extracted phase data (error of 1.492 ± 0.977 heartbeats per study, mean ± SD); 3) a more accurate and robust heartbeat period detection with a Bland-Altman coefficient of reproducibility (RPC) of 0.23 s, while the second closest method presents an RPC of 0.36 s. Significance: The integration of motion signals performed by our method shown an improvement of the gating accuracy and reliability.Fil: Maso Talou, Gonzalo D.. Laboratorio Nacional de Computacao Cientifica; BrasilFil: Larrabide, Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires; ArgentinaFil: Blanco, Pablo Javier. Laboratorio Nacional de Computacao Cientifica; BrasilFil: Bezerra, Cristiano Guedes. Universidade de Sao Paulo; BrasilFil: Lemos, Pedro A.. Universidade de Sao Paulo; BrasilFil: Feijóo, Raúl Antonino. Laboratorio Nacional de Computacao Cientifica; BrasilInstitute of Electrical and Electronics Engineers2015-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/54998Maso Talou, Gonzalo D.; Larrabide, Ignacio; Blanco, Pablo Javier; Bezerra, Cristiano Guedes; Lemos, Pedro A.; et al.; Improving Cardiac Phase Extraction in IVUS Studies by Integration of Gating Methods; Institute of Electrical and Electronics Engineers; Ieee Transactions On Bio-medical Engineering; 62; 12; 12-2015; 2867-28770018-9294CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1109/TBME.2015.2449232info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/7132741/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:37:57Zoai:ri.conicet.gov.ar:11336/54998instacron: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:34982025-09-29 09:37:57.519CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Improving Cardiac Phase Extraction in IVUS Studies by Integration of Gating Methods
title Improving Cardiac Phase Extraction in IVUS Studies by Integration of Gating Methods
spellingShingle Improving Cardiac Phase Extraction in IVUS Studies by Integration of Gating Methods
Maso Talou, Gonzalo D.
Gating
Intravascular Ultrasound (Ivus)
Motion Compensation And Analysis
Ultrasound
title_short Improving Cardiac Phase Extraction in IVUS Studies by Integration of Gating Methods
title_full Improving Cardiac Phase Extraction in IVUS Studies by Integration of Gating Methods
title_fullStr Improving Cardiac Phase Extraction in IVUS Studies by Integration of Gating Methods
title_full_unstemmed Improving Cardiac Phase Extraction in IVUS Studies by Integration of Gating Methods
title_sort Improving Cardiac Phase Extraction in IVUS Studies by Integration of Gating Methods
dc.creator.none.fl_str_mv Maso Talou, Gonzalo D.
Larrabide, Ignacio
Blanco, Pablo Javier
Bezerra, Cristiano Guedes
Lemos, Pedro A.
Feijóo, Raúl Antonino
author Maso Talou, Gonzalo D.
author_facet Maso Talou, Gonzalo D.
Larrabide, Ignacio
Blanco, Pablo Javier
Bezerra, Cristiano Guedes
Lemos, Pedro A.
Feijóo, Raúl Antonino
author_role author
author2 Larrabide, Ignacio
Blanco, Pablo Javier
Bezerra, Cristiano Guedes
Lemos, Pedro A.
Feijóo, Raúl Antonino
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Gating
Intravascular Ultrasound (Ivus)
Motion Compensation And Analysis
Ultrasound
topic Gating
Intravascular Ultrasound (Ivus)
Motion Compensation And Analysis
Ultrasound
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Goal: Coronary intravascular ultrasound (IVUS) is a fundamental imaging technique for atherosclerotic plaque assessment. However, volume-based data retrieved from IVUS studies can be misleading due to the artifacts generated by the cardiac motion, hindering diagnostic, and visualization of the vessel condition. Then, we propose an image-based gating method that improves the performance of the preexisting methods, delivering a gating in an appropriate time for clinical practice. Methods: We propose a fully automatic method to synergically integrate motion signals from different gating methods to improve the cardiac phase estimation. Additionally, we present a local extrema identification method that provides a more accurate extraction of a cardiac phase and, also, a scheme for multiple phase extraction mandatory for elastography-type studies. Results: A comparison with three state-of-the-art methods is performed over 61 in-vivo IVUS studies including a wide range of physiological situations. The results show that the proposed strategy offers: 1) a more accurate cardiac phase extraction; 2) a lower frame oversampling and/or omission in the extracted phase data (error of 1.492 ± 0.977 heartbeats per study, mean ± SD); 3) a more accurate and robust heartbeat period detection with a Bland-Altman coefficient of reproducibility (RPC) of 0.23 s, while the second closest method presents an RPC of 0.36 s. Significance: The integration of motion signals performed by our method shown an improvement of the gating accuracy and reliability.
Fil: Maso Talou, Gonzalo D.. Laboratorio Nacional de Computacao Cientifica; Brasil
Fil: Larrabide, Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires; Argentina
Fil: Blanco, Pablo Javier. Laboratorio Nacional de Computacao Cientifica; Brasil
Fil: Bezerra, Cristiano Guedes. Universidade de Sao Paulo; Brasil
Fil: Lemos, Pedro A.. Universidade de Sao Paulo; Brasil
Fil: Feijóo, Raúl Antonino. Laboratorio Nacional de Computacao Cientifica; Brasil
description Goal: Coronary intravascular ultrasound (IVUS) is a fundamental imaging technique for atherosclerotic plaque assessment. However, volume-based data retrieved from IVUS studies can be misleading due to the artifacts generated by the cardiac motion, hindering diagnostic, and visualization of the vessel condition. Then, we propose an image-based gating method that improves the performance of the preexisting methods, delivering a gating in an appropriate time for clinical practice. Methods: We propose a fully automatic method to synergically integrate motion signals from different gating methods to improve the cardiac phase estimation. Additionally, we present a local extrema identification method that provides a more accurate extraction of a cardiac phase and, also, a scheme for multiple phase extraction mandatory for elastography-type studies. Results: A comparison with three state-of-the-art methods is performed over 61 in-vivo IVUS studies including a wide range of physiological situations. The results show that the proposed strategy offers: 1) a more accurate cardiac phase extraction; 2) a lower frame oversampling and/or omission in the extracted phase data (error of 1.492 ± 0.977 heartbeats per study, mean ± SD); 3) a more accurate and robust heartbeat period detection with a Bland-Altman coefficient of reproducibility (RPC) of 0.23 s, while the second closest method presents an RPC of 0.36 s. Significance: The integration of motion signals performed by our method shown an improvement of the gating accuracy and reliability.
publishDate 2015
dc.date.none.fl_str_mv 2015-12
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/11336/54998
Maso Talou, Gonzalo D.; Larrabide, Ignacio; Blanco, Pablo Javier; Bezerra, Cristiano Guedes; Lemos, Pedro A.; et al.; Improving Cardiac Phase Extraction in IVUS Studies by Integration of Gating Methods; Institute of Electrical and Electronics Engineers; Ieee Transactions On Bio-medical Engineering; 62; 12; 12-2015; 2867-2877
0018-9294
CONICET Digital
CONICET
url http://hdl.handle.net/11336/54998
identifier_str_mv Maso Talou, Gonzalo D.; Larrabide, Ignacio; Blanco, Pablo Javier; Bezerra, Cristiano Guedes; Lemos, Pedro A.; et al.; Improving Cardiac Phase Extraction in IVUS Studies by Integration of Gating Methods; Institute of Electrical and Electronics Engineers; Ieee Transactions On Bio-medical Engineering; 62; 12; 12-2015; 2867-2877
0018-9294
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1109/TBME.2015.2449232
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/7132741/
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
_version_ 1844613198314995712
score 13.070432

Publicaciones similares