Temporal diffeomorphic free-form deformation: application to motion and strain estimation from 3D echocardiography

This paper presents a new registration algorithm, called Temporal Di eomorphic Free Form Deformation (TDFFD), and its application to motion and strain quanti cation from a sequence of 3D ultrasound (US) images. The originality of our approach resides in enforcing time consistency by representing the...

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Autores: Craene, Mathieu de, Piella Fenoy, Gemma, Camara, Oscar, Duchateau, Nicolas, Silva, Etelvino, Doltra, Adelina, D'hooge, Jan, Brugada, Josep, Sitges, Marta, Frangi Caregnato, Alejandro
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2011
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/16689
Acceso en línea:http://hdl.handle.net/10230/16689
http://dx.doi.org/10.1016/j.media.2011.10.006
Access Level:acceso abierto
Palabra clave:Cor -- Imatges -- Estudi de casos
Diagnòstic per la imatge
Spatiotemporal registration
Di ffeomorphism
FFD
Strain
3D ultrasound
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spelling Temporal diffeomorphic free-form deformation: application to motion and strain estimation from 3D echocardiographyCraene, Mathieu dePiella Fenoy, GemmaCamara, OscarDuchateau, NicolasSilva, EtelvinoDoltra, AdelinaD'hooge, JanBrugada, JosepSitges, MartaFrangi Caregnato, AlejandroCor -- Imatges -- Estudi de casosDiagnòstic per la imatgeSpatiotemporal registrationDi ffeomorphismFFDStrain3D ultrasoundThis paper presents a new registration algorithm, called Temporal Di eomorphic Free Form Deformation (TDFFD), and its application to motion and strain quanti cation from a sequence of 3D ultrasound (US) images. The originality of our approach resides in enforcing time consistency by representing the 4D velocity eld as the sum of continuous spatiotemporal B-Spline kernels. The spatiotemporal displacement eld is then recovered through forward Eulerian integration of the non-stationary velocity eld. The strain tensor is/ncomputed locally using the spatial derivatives of the reconstructed displacement eld. The energy functional considered in this paper weighs two terms: the image similarity and a regularization term. The image similarity metric is the sum of squared di erences between the intensities of each frame and a reference one. Any frame in the sequence can be chosen as reference. The regularization term is based on the/nincompressibility of myocardial tissue. TDFFD was compared to pairwise 3D FFD and 3D+t FFD, both/non displacement and velocity elds, on a set of synthetic 3D US images with di erent noise levels. TDFFD/nshowed increased robustness to noise compared to these two state-of-the-art algorithms. TDFFD also proved to be more resistant to a reduced temporal resolution when decimating this synthetic sequence. Finally, this synthetic dataset was used to determine optimal settings of the TDFFD algorithm. Subsequently, TDFFD/nwas applied to a database of cardiac 3D US images of the left ventricle acquired from 9 healthy volunteers and 13 patients treated by Cardiac Resynchronization Therapy (CRT). On healthy cases, uniform strain patterns were observed over all myocardial segments, as physiologically expected. On all CRT patients, the/nimprovement in synchrony of regional longitudinal strain correlated with CRT clinical outcome as quanti ed by the reduction of end-systolic left ventricular volume at follow-up (6 and 12 months), showing the potential of the proposed algorithm for the assessment of CRT.This research has been partially funded by the Spanish Industrial and Technological Development Center (CDTI) under the CENIT Programme (cvREMOD Project), the Spanish Ministry of Science and Innovation (MICINN) and the European Regional Development Fund (ERDF) through the research project STIMATH (TIN2009-14536-C02-01), and the European Community’s Seventh Framework Program (FP7/2007-2013) under the euHeart project (FP7-ICT-2007-2-224495).Elsevier201220122011info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/16689http://dx.doi.org/10.1016/j.media.2011.10.006reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésMedical Image Analysis. 2012;16(2):427-50info:eu-repo/grantAgreement/EC/FP7/224495info:eu-repo/grantAgreement/ES/3PN/TIN2009-14536© Elsevier http://dx.doi.org/10.1016/j.media.2011.10.006info:eu-repo/semantics/openAccessoai:recercat.cat:10230/166892026-05-29T05:05:01Z
dc.title.none.fl_str_mv Temporal diffeomorphic free-form deformation: application to motion and strain estimation from 3D echocardiography
title Temporal diffeomorphic free-form deformation: application to motion and strain estimation from 3D echocardiography
spellingShingle Temporal diffeomorphic free-form deformation: application to motion and strain estimation from 3D echocardiography
Craene, Mathieu de
Cor -- Imatges -- Estudi de casos
Diagnòstic per la imatge
Spatiotemporal registration
Di ffeomorphism
FFD
Strain
3D ultrasound
title_short Temporal diffeomorphic free-form deformation: application to motion and strain estimation from 3D echocardiography
title_full Temporal diffeomorphic free-form deformation: application to motion and strain estimation from 3D echocardiography
title_fullStr Temporal diffeomorphic free-form deformation: application to motion and strain estimation from 3D echocardiography
title_full_unstemmed Temporal diffeomorphic free-form deformation: application to motion and strain estimation from 3D echocardiography
title_sort Temporal diffeomorphic free-form deformation: application to motion and strain estimation from 3D echocardiography
dc.creator.none.fl_str_mv Craene, Mathieu de
Piella Fenoy, Gemma
Camara, Oscar
Duchateau, Nicolas
Silva, Etelvino
Doltra, Adelina
D'hooge, Jan
Brugada, Josep
Sitges, Marta
Frangi Caregnato, Alejandro
author Craene, Mathieu de
author_facet Craene, Mathieu de
Piella Fenoy, Gemma
Camara, Oscar
Duchateau, Nicolas
Silva, Etelvino
Doltra, Adelina
D'hooge, Jan
Brugada, Josep
Sitges, Marta
Frangi Caregnato, Alejandro
author_role author
author2 Piella Fenoy, Gemma
Camara, Oscar
Duchateau, Nicolas
Silva, Etelvino
Doltra, Adelina
D'hooge, Jan
Brugada, Josep
Sitges, Marta
Frangi Caregnato, Alejandro
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Cor -- Imatges -- Estudi de casos
Diagnòstic per la imatge
Spatiotemporal registration
Di ffeomorphism
FFD
Strain
3D ultrasound
topic Cor -- Imatges -- Estudi de casos
Diagnòstic per la imatge
Spatiotemporal registration
Di ffeomorphism
FFD
Strain
3D ultrasound
description This paper presents a new registration algorithm, called Temporal Di eomorphic Free Form Deformation (TDFFD), and its application to motion and strain quanti cation from a sequence of 3D ultrasound (US) images. The originality of our approach resides in enforcing time consistency by representing the 4D velocity eld as the sum of continuous spatiotemporal B-Spline kernels. The spatiotemporal displacement eld is then recovered through forward Eulerian integration of the non-stationary velocity eld. The strain tensor is/ncomputed locally using the spatial derivatives of the reconstructed displacement eld. The energy functional considered in this paper weighs two terms: the image similarity and a regularization term. The image similarity metric is the sum of squared di erences between the intensities of each frame and a reference one. Any frame in the sequence can be chosen as reference. The regularization term is based on the/nincompressibility of myocardial tissue. TDFFD was compared to pairwise 3D FFD and 3D+t FFD, both/non displacement and velocity elds, on a set of synthetic 3D US images with di erent noise levels. TDFFD/nshowed increased robustness to noise compared to these two state-of-the-art algorithms. TDFFD also proved to be more resistant to a reduced temporal resolution when decimating this synthetic sequence. Finally, this synthetic dataset was used to determine optimal settings of the TDFFD algorithm. Subsequently, TDFFD/nwas applied to a database of cardiac 3D US images of the left ventricle acquired from 9 healthy volunteers and 13 patients treated by Cardiac Resynchronization Therapy (CRT). On healthy cases, uniform strain patterns were observed over all myocardial segments, as physiologically expected. On all CRT patients, the/nimprovement in synchrony of regional longitudinal strain correlated with CRT clinical outcome as quanti ed by the reduction of end-systolic left ventricular volume at follow-up (6 and 12 months), showing the potential of the proposed algorithm for the assessment of CRT.
publishDate 2011
dc.date.none.fl_str_mv 2011
2012
2012
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/16689
http://dx.doi.org/10.1016/j.media.2011.10.006
url http://hdl.handle.net/10230/16689
http://dx.doi.org/10.1016/j.media.2011.10.006
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Medical Image Analysis. 2012;16(2):427-50
info:eu-repo/grantAgreement/EC/FP7/224495
info:eu-repo/grantAgreement/ES/3PN/TIN2009-14536
dc.rights.none.fl_str_mv © Elsevier http://dx.doi.org/10.1016/j.media.2011.10.006
info:eu-repo/semantics/openAccess
rights_invalid_str_mv © Elsevier http://dx.doi.org/10.1016/j.media.2011.10.006
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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