### Abstract

(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.

Language | English |
---|---|

Title of host publication | FIMH 2019: Functional Imaging and Modeling of the Heart |

Editors | Yves Coudière, Valéry Ozenne, Edward Vigmond, Nejib Zemzemi |

Place of Publication | Cham |

Publisher | Springer Nature Switzerland AG |

Pages | 240-248 |

Number of pages | 9 |

ISBN (Electronic) | 978-3-030-21949-9 |

ISBN (Print) | 978-3-030-21948-2 |

DOIs | |

State | Published - 2019 |

### Publication series

Name | Lecture Notes in Computer Science |
---|---|

Publisher | SpringerLink |

Volume | 11504 |

### Fingerprint

### Cite this

*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

}

*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.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

TY - CHAP

T1 - A computational approach on sensitivity of left ventricular wall strains to geometry

AU - Barbarotta,Luca

AU - Bovendeerd,Peter

PY - 2019

Y1 - 2019

N2 - 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.

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.

U2 - 10.1007/978-3-030-21949-9_26

DO - 10.1007/978-3-030-21949-9_26

M3 - Chapter

SN - 978-3-030-21948-2

T3 - Lecture Notes in Computer Science

SP - 240

EP - 248

BT - FIMH 2019: Functional Imaging and Modeling of the Heart

PB - Springer Nature Switzerland AG

CY - Cham

ER -