3D Quantification of Wall Shear Stress and Oscillatory Shear Index Using a Finite-Element Method in 3D CINE PC-MRI Data of the Thoracic Aorta

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dc.contributor.authorSotelo Parraguez, Julio Andrés
dc.contributor.authorUrbina, Jesus
dc.contributor.authorValverde, Israel
dc.contributor.authorTejos Nunez, Cristian Andres
dc.contributor.authorIrarrázaval Mena, Pablo
dc.contributor.authorAndia Kohnenkampf, Marcelo Edgardo
dc.contributor.authorUribe Arancibia, Sergio A.
dc.contributor.authorHurtado Sepúlveda, Daniel
dc.date.accessioned2022-05-18T14:39:47Z
dc.date.available2022-05-18T14:39:47Z
dc.date.issued2016
dc.description.abstractSeveral 2D methods have been proposed to estimate WSS and OSI from PC-MRI, neglecting the longitudinal velocity gradients that typically arise in cardiovascular flow, particularly on vessel geometries whose cross section and centerline orientation strongly vary in the axial direction. Thus, the contribution of longitudinal velocity gradients remains understudied. In this work, we propose a 3D finite-element method for the quantification of WSS and OSI from 3D-CINE PC-MRI that accounts for both in-plane and longitudinal velocity gradients. We demonstrate the convergence and robustness of the method on cylindrical geometries using a synthetic phantom based on the Poiseuille flow equation. We also show that, in the presence of noise, the method is both stable and accurate. Using computational fluid dynamics simulations, we show that the proposed 3D method results in more accurate WSS estimates than those obtained from a 2D analysis not considering out-of-plane velocity gradients. Further, we conclude that for irregular geometries the accurate prediction of WSS requires the consideration of longitudinal gradients in the velocity field. Additionally, we compute 3D maps of WSS and OSI for 3D-CINE PC-MRI data sets from an aortic phantom and sixteen healthy volunteers and two patients. The OSI values show a greater dispersion than WSS, which is strongly dependent on the PC-MRI resolution. We envision that the proposed 3D method will improve the estimation of WSS and OSI from 3D-CINE PC-MRI images, allowing for more accurate estimates in vessels with pathologies that induce high longitudinal velocity gradients, such as coarctations and aneurisms.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/TMI.2016.2517406
dc.identifier.issn1558-254X
dc.identifier.urihttps://doi.org/10.1109/TMI.2016.2517406
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7383317
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/64160
dc.information.autorucEscuela de ingeniería ; Sotelo Parraguez, Julio Andrés ; S/I ; 213237
dc.information.autorucEscuela de ingeniería ; Tejos Nunez, Cristian Andres ; S/I ; 4027
dc.information.autorucEscuela de ingeniería ; Irarrázaval Mena, Pablo ; S/I ; 57376
dc.information.autorucEscuela de ingeniería ; Andia Kohnenkampf, Marcelo Edgardo ; S/I ; 90691
dc.information.autorucEscuela de ingeniería ; Uribe Arancibia, Sergio Andres ; S/I ; 16572
dc.information.autorucEscuela de ingeniería ; Hurtado Sepulveda, Daniel Esteban ; S/I ; 3569
dc.issue.numero6
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final1487
dc.pagina.inicio1475
dc.revistaIEEE Transactions on Medical Imaging
dc.rightsacceso restringido
dc.subjectThree-dimensional displays
dc.subjectStress
dc.subjectFinite element analysis
dc.subjectBiomedical imaging
dc.subjectOpen systems
dc.subjectInterpolation
dc.subjectGeometry
dc.subject.ddc610
dc.subject.deweyMedicina y salud
dc.title3D Quantification of Wall Shear Stress and Oscillatory Shear Index Using a Finite-Element Method in 3D CINE PC-MRI Data of the Thoracic Aortaes_ES
dc.typeartículo
dc.volumen35
sipa.codpersvinculados213237
sipa.codpersvinculados4027
sipa.codpersvinculados57376
sipa.codpersvinculados90691
sipa.codpersvinculados16572
sipa.codpersvinculados3569
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