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Volumetric parcellation of the cardiac right ventricle for regional geometric and functional assessment

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dc.contributor.author Bernardino Perez, Gabriel
dc.contributor.author Hodzic, Amir
dc.contributor.author Langet, Hélène
dc.contributor.author Legallois, Damien
dc.contributor.author Craene, Mathieu de
dc.contributor.author González Ballester, Miguel Ángel, 1973-
dc.contributor.author Saloux, Eric
dc.contributor.author Bijnens, Bart
dc.date.accessioned 2021-04-07T08:19:49Z
dc.date.issued 2021
dc.identifier.citation Bernardino G, Hodzic A, Langet H, Legallois D, De Craene M, González Ballester MA, Saloux E, Bijnens B. Volumetric parcellation of the cardiac right ventricle for regional geometric and functional assessment. Med Image Anal. 2021;71:102044. DOI: 10.1016/j.media.2021.102044
dc.identifier.issn 1361-8415
dc.identifier.uri http://hdl.handle.net/10230/47036
dc.description.abstract 3D echocardiography is an increasingly popular tool for assessing cardiac remodelling in the right ventricle (RV). It allows quantification of the cardiac chambers without any geometric assumptions, which is the main weakness of 2D echocardiography. However, regional quantification of geometry and function is limited by the lower spatial and temporal resolution and the scarcity of identifiable anatomical landmarks, especially within the ventricular cavity. We developed a technique for regionally assessing the volume of 3 relevant RV volumetric regions: apical, inlet and outflow. The proposed parcellation method is based on the geodesic distances to anatomical landmarks that are easily identifiable in the images: the apex and the tricuspid and pulmonary valves, each associated to a region. Based on these distances, we define a partition in the endocardium at end-diastole (ED). This partition is then interpolated to the blood cavity using the Laplace equation, which allows to compute regional volumes. For obtaining an end-systole (ES) partition, the endocardial partition is transported from ED to ES using a commercial image-based tracking software, and then the interpolation process is repeated. We assessed the intra- and inter-observer reproducibility using a 10-subjects dataset containing repeated quantifications of the same images, obtaining intra- and inter- observer errors (7 - 12 % and 10 - 23 % respectively). Finally, we propose a novel synthetic mesh generation algorithm that deforms a template mesh imposing a user-defined strain to a template mesh. We used this method to create a new dataset for involving distinct types of remodelling that were used to assess the sensitivity of the parcellation method to identify volume changes affecting different parts. We show that the parcellation method is adequate for capturing local circumferential and global circumferential and longitudinal RV remodeling, which are the most clinically relevant cases.
dc.description.sponsorship This study was partially supported by the Spanish Ministry of Economy and Competitiveness (Maria de Maeztu Units of Excellence Programme - MDM-2015-0502), the European Union under the Horizon 2020 Programme for Research, Innovation (grant agreement No. 642676 CardioFunXion). We thank doctors Duchateau and Nuñez-García for fruitful discussions.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartof Medical Image Analysis. 2021;71:102044
dc.rights © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.title Volumetric parcellation of the cardiac right ventricle for regional geometric and functional assessment
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1016/j.media.2021.102044
dc.subject.keyword Geometry processing
dc.subject.keyword Anatomical parcellation
dc.subject.keyword Cardiac remodelling
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/642676
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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