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

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

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Autores: Craene, Mathieu De, Piella, Gemma, Camara, Oscar, Duchateau, Nicolas, Silva, Etelvino, Doltra, Adelina, D'hooge, Jan, Brugada Terradellas, Josep, 1958-, Sitges Carreño, Marta, Frangi, Alejandro F.
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2012
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/130483
Acceso en línea:https://hdl.handle.net/2445/130483
Access Level:acceso abierto
Palabra clave:Difeomorfismes
Ultrasons en medicina
Ecocardiografia
Diffeomorphisms
Ultrasonics in medicine
Echocardiography
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spelling Temporal diffeomorphic free-form deformation: application to motion and strain estimation from 3D echocardiographyCraene, Mathieu DePiella, GemmaCamara, OscarDuchateau, NicolasSilva, EtelvinoDoltra, AdelinaD'hooge, JanBrugada Terradellas, Josep, 1958-Sitges Carreño, MartaFrangi, Alejandro F.DifeomorfismesUltrasons en medicinaEcocardiografiaDiffeomorphismsUltrasonics in medicineEchocardiographyThis paper presents a new registration algorithm, called Temporal Diffeomorphic Free Form Deformation (TDFFD), and its application to motion and strain quantification from a sequence of 3D ultrasound (US) images. The originality of our approach resides in enforcing time consistency by representing the 4D velocity field as the sum of continuous spatiotemporal B-Spline kernels. The spatiotemporal displacement field is then recovered through forward Eulerian integration of the non-stationary velocity field. The strain tensor is computed locally using the spatial derivatives of the reconstructed displacement field. 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 differences 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 incompressibility of myocardial tissue. TDFFD was compared to pairwise 3D FFD and 3D+t FFD, both on displacement and velocity fields, on a set of synthetic 3D US images with different noise levels. TDFFD showed 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 was 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 improvement in synchrony of regional longitudinal strain correlated with CRT clinical outcome as quantified 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.Elsevier2012info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://hdl.handle.net/2445/130483Articles publicats en revistes (Medicina)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésVersió postprint del document publicat a: https://doi.org/10.1016/j.media.2011.10.006Medical Image Analysis, 2012, vol. 16, num. 2, p. 427-450https://doi.org/10.1016/j.media.2011.10.006info:eu-repo/grantAgreement/EC/FP7/224495(c) MICCAI Society, 2012info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1304832026-05-27T06:46:51Z
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
Difeomorfismes
Ultrasons en medicina
Ecocardiografia
Diffeomorphisms
Ultrasonics in medicine
Echocardiography
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, Gemma
Camara, Oscar
Duchateau, Nicolas
Silva, Etelvino
Doltra, Adelina
D'hooge, Jan
Brugada Terradellas, Josep, 1958-
Sitges Carreño, Marta
Frangi, Alejandro F.
author Craene, Mathieu De
author_facet Craene, Mathieu De
Piella, Gemma
Camara, Oscar
Duchateau, Nicolas
Silva, Etelvino
Doltra, Adelina
D'hooge, Jan
Brugada Terradellas, Josep, 1958-
Sitges Carreño, Marta
Frangi, Alejandro F.
author_role author
author2 Piella, Gemma
Camara, Oscar
Duchateau, Nicolas
Silva, Etelvino
Doltra, Adelina
D'hooge, Jan
Brugada Terradellas, Josep, 1958-
Sitges Carreño, Marta
Frangi, Alejandro F.
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Difeomorfismes
Ultrasons en medicina
Ecocardiografia
Diffeomorphisms
Ultrasonics in medicine
Echocardiography
topic Difeomorfismes
Ultrasons en medicina
Ecocardiografia
Diffeomorphisms
Ultrasonics in medicine
Echocardiography
description This paper presents a new registration algorithm, called Temporal Diffeomorphic Free Form Deformation (TDFFD), and its application to motion and strain quantification from a sequence of 3D ultrasound (US) images. The originality of our approach resides in enforcing time consistency by representing the 4D velocity field as the sum of continuous spatiotemporal B-Spline kernels. The spatiotemporal displacement field is then recovered through forward Eulerian integration of the non-stationary velocity field. The strain tensor is computed locally using the spatial derivatives of the reconstructed displacement field. 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 differences 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 incompressibility of myocardial tissue. TDFFD was compared to pairwise 3D FFD and 3D+t FFD, both on displacement and velocity fields, on a set of synthetic 3D US images with different noise levels. TDFFD showed 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 was 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 improvement in synchrony of regional longitudinal strain correlated with CRT clinical outcome as quantified 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 2012
dc.date.none.fl_str_mv 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 https://hdl.handle.net/2445/130483
url https://hdl.handle.net/2445/130483
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Versió postprint del document publicat a: https://doi.org/10.1016/j.media.2011.10.006
Medical Image Analysis, 2012, vol. 16, num. 2, p. 427-450
https://doi.org/10.1016/j.media.2011.10.006
info:eu-repo/grantAgreement/EC/FP7/224495
dc.rights.none.fl_str_mv (c) MICCAI Society, 2012
info:eu-repo/semantics/openAccess
rights_invalid_str_mv (c) MICCAI Society, 2012
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Articles publicats en revistes (Medicina)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869422723393912833
score 15,301603

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