A computational approach on sensitivity of left ventricular wall strains to geometry

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureHoofdstukAcademicpeer review

Uittreksel

In this work we use a Finite Element model of the left ventricular
(LV) mechanics to assess the sensitivity of strains to geometry.
Six principal shape modes extracted from an atlas of LV geometries
using principal component analysis, have been used to model the variability
of the geometry of a population of 1991 asymptomatic volunteers.
We observed that shear strains are more sensitive than normal strains to
geometry. For all the strains, shape mode 1, related with variation in size
within the population, plays an major role, but none of the six principal
modes can be considered non influential.
TaalEngels
TitelFIMH 2019: Functional Imaging and Modeling of the Heart
RedacteurenYves Coudière, Valéry Ozenne, Edward Vigmond, Nejib Zemzemi
Plaats van productieCham
UitgeverijSpringer Nature Switzerland AG
Pagina's240-248
Aantal pagina's9
ISBN van elektronische versie978-3-030-21949-9
ISBN van geprinte versie978-3-030-21948-2
DOI's
StatusGepubliceerd - 2019

Publicatie series

NaamLecture Notes in Computer Science
UitgeverijSpringerLink
Volume11504

Vingerafdruk

Mode Shape
Atlas
Finite Element Model
Principal Component Analysis
Mechanics
Model

Citeer dit

Barbarotta, L., & Bovendeerd, P. (2019). A computational approach on sensitivity of left ventricular wall strains to geometry. In Y. Coudière, V. Ozenne, E. Vigmond, & N. Zemzemi (editors), FIMH 2019: Functional Imaging and Modeling of the Heart (blz. 240-248). (Lecture Notes in Computer Science ; Vol. 11504). Cham: Springer Nature Switzerland AG. DOI: 10.1007/978-3-030-21949-9_26
Barbarotta, Luca ; Bovendeerd, Peter. / A computational approach on sensitivity of left ventricular wall strains to geometry. FIMH 2019: Functional Imaging and Modeling of the Heart . redacteur / Yves Coudière ; Valéry Ozenne ; Edward Vigmond ; Nejib Zemzemi. Cham : Springer Nature Switzerland AG, 2019. blz. 240-248 (Lecture Notes in Computer Science ).
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title = "A computational approach on sensitivity of left ventricular wall strains to geometry",
abstract = "In this work we use a Finite Element model of the left ventricular(LV) mechanics to assess the sensitivity of strains to geometry.Six principal shape modes extracted from an atlas of LV geometriesusing principal component analysis, have been used to model the variabilityof the geometry of a population of 1991 asymptomatic volunteers.We observed that shear strains are more sensitive than normal strains togeometry. For all the strains, shape mode 1, related with variation in sizewithin the population, plays an major role, but none of the six principalmodes can be considered non influential.",
author = "Luca Barbarotta and Peter Bovendeerd",
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Barbarotta, L & Bovendeerd, P 2019, A computational approach on sensitivity of left ventricular wall strains to geometry. in Y Coudière, V Ozenne, E Vigmond & N Zemzemi (redactie), FIMH 2019: Functional Imaging and Modeling of the Heart . Lecture Notes in Computer Science , vol. 11504, Springer Nature Switzerland AG, Cham, blz. 240-248. DOI: 10.1007/978-3-030-21949-9_26

A computational approach on sensitivity of left ventricular wall strains to geometry. / Barbarotta, Luca; Bovendeerd, Peter.

FIMH 2019: Functional Imaging and Modeling of the Heart . redactie / Yves Coudière; Valéry Ozenne; Edward Vigmond; Nejib Zemzemi. Cham : Springer Nature Switzerland AG, 2019. blz. 240-248 (Lecture Notes in Computer Science ; Vol. 11504).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureHoofdstukAcademicpeer review

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AB - In this work we use a Finite Element model of the left ventricular(LV) mechanics to assess the sensitivity of strains to geometry.Six principal shape modes extracted from an atlas of LV geometriesusing principal component analysis, have been used to model the variabilityof the geometry of a population of 1991 asymptomatic volunteers.We observed that shear strains are more sensitive than normal strains togeometry. For all the strains, shape mode 1, related with variation in sizewithin the population, plays an major role, but none of the six principalmodes can be considered non influential.

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Barbarotta L, Bovendeerd P. A computational approach on sensitivity of left ventricular wall strains to geometry. In Coudière Y, Ozenne V, Vigmond E, Zemzemi N, redacteurs, FIMH 2019: Functional Imaging and Modeling of the Heart . Cham: Springer Nature Switzerland AG. 2019. blz. 240-248. (Lecture Notes in Computer Science ). Beschikbaar vanaf, DOI: 10.1007/978-3-030-21949-9_26