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

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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 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.
LanguageEnglish
Title of host publicationFIMH 2019: Functional Imaging and Modeling of the Heart
EditorsYves Coudière, Valéry Ozenne, Edward Vigmond, Nejib Zemzemi
Place of PublicationCham
PublisherSpringer Nature Switzerland AG
Pages240-248
Number of pages9
ISBN (Electronic)978-3-030-21949-9
ISBN (Print)978-3-030-21948-2
DOIs
StatePublished - 2019

Publication series

NameLecture Notes in Computer Science
PublisherSpringerLink
Volume11504

Fingerprint

Mode Shape
Atlas
Finite Element Model
Principal Component Analysis
Mechanics
Model

Cite this

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

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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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, editors, FIMH 2019: Functional Imaging and Modeling of the Heart . Cham: Springer Nature Switzerland AG. 2019. p. 240-248. (Lecture Notes in Computer Science ). Available from, DOI: 10.1007/978-3-030-21949-9_26