A Computational Approach on Sensitivity of Left Ventricular Wall Strains to Fiber Orientation

L. Barbarotta; Peter H.M. Bovendeerd

doi:10.1007/978-3-030-78710-3_29

A Computational Approach on Sensitivity of Left Ventricular Wall Strains to Fiber Orientation

L. Barbarotta, Peter H.M. Bovendeerd

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

3 Citations (Scopus)

Abstract

In this work, we use a Finite Element model of the left ventricular (LV) mechanics to assess the sensitivity of strains to fiber orientation, modeled using both helix and transverse angles using a 5-parameter rule-based model. The ranges for the five parameters represent the variability within the human population, as inferred from DTI measurements found in literature. End-systolic Green-Lagrange strains with respect of the end-diastolic state were expressed according to the local circumferential (c), longitudinal (l) and transmural (t) direction. The results show that the transverse angle is more influential than the helix angle and that the strain components most affected by fiber orientation are E_ct (38 ± 18 % ), and E_cl (25 ± 8 % ). The most influential parameters are found to be tu0, describing the longitudinal offset of the transverse angle, and hv0, describing the transmural offset of the helix angle. Instead, hv1, describing the transmural slope of the helix angle, resulted to be the least influential parameter.

Original language	English
Title of host publication	Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings
Editors	Daniel B. Ennis, Luigi E. Perotti, Vicky Y. Wang
Publisher	Springer
Pages	296-304
Number of pages	9
ISBN (Print)	9783030787097
DOIs	https://doi.org/10.1007/978-3-030-78710-3_29
Publication status	Published - 2021
Event	11th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2021 - Virtual, Online Duration: 21 Jun 2021 → 25 Jun 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12738 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2021
City	Virtual, Online
Period	21/06/21 → 25/06/21

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Access to Document

10.1007/978-3-030-78710-3_29

Cite this

Barbarotta, L., & Bovendeerd, P. H. M. (2021). A Computational Approach on Sensitivity of Left Ventricular Wall Strains to Fiber Orientation. In D. B. Ennis, L. E. Perotti, & V. Y. Wang (Eds.), Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings (pp. 296-304). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12738 LNCS). Springer. https://doi.org/10.1007/978-3-030-78710-3_29

Barbarotta, L. ; Bovendeerd, Peter H.M. / A Computational Approach on Sensitivity of Left Ventricular Wall Strains to Fiber Orientation. Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings. editor / Daniel B. Ennis ; Luigi E. Perotti ; Vicky Y. Wang. Springer, 2021. pp. 296-304 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{19aa67a22cde47f6a30dc5f3f4bcda95,

title = "A Computational Approach on Sensitivity of Left Ventricular Wall Strains to Fiber Orientation",

abstract = "In this work, we use a Finite Element model of the left ventricular (LV) mechanics to assess the sensitivity of strains to fiber orientation, modeled using both helix and transverse angles using a 5-parameter rule-based model. The ranges for the five parameters represent the variability within the human population, as inferred from DTI measurements found in literature. End-systolic Green-Lagrange strains with respect of the end-diastolic state were expressed according to the local circumferential (c), longitudinal (l) and transmural (t) direction. The results show that the transverse angle is more influential than the helix angle and that the strain components most affected by fiber orientation are Ect (38 ± 18 % ), and Ecl (25 ± 8 % ). The most influential parameters are found to be tu0, describing the longitudinal offset of the transverse angle, and hv0, describing the transmural offset of the helix angle. Instead, hv1, describing the transmural slope of the helix angle, resulted to be the least influential parameter.",

author = "L. Barbarotta and Bovendeerd, {Peter H.M.}",

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doi = "10.1007/978-3-030-78710-3_29",

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Barbarotta, L & Bovendeerd, PHM 2021, A Computational Approach on Sensitivity of Left Ventricular Wall Strains to Fiber Orientation. in DB Ennis, LE Perotti & VY Wang (eds), Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12738 LNCS, Springer, pp. 296-304, 11th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2021, Virtual, Online, 21/06/21. https://doi.org/10.1007/978-3-030-78710-3_29

A Computational Approach on Sensitivity of Left Ventricular Wall Strains to Fiber Orientation. / Barbarotta, L.; Bovendeerd, Peter H.M.
Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings. ed. / Daniel B. Ennis; Luigi E. Perotti; Vicky Y. Wang. Springer, 2021. p. 296-304 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12738 LNCS).

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

TY - GEN

T1 - A Computational Approach on Sensitivity of Left Ventricular Wall Strains to Fiber Orientation

AU - Barbarotta, L.

AU - Bovendeerd, Peter H.M.

PY - 2021

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N2 - In this work, we use a Finite Element model of the left ventricular (LV) mechanics to assess the sensitivity of strains to fiber orientation, modeled using both helix and transverse angles using a 5-parameter rule-based model. The ranges for the five parameters represent the variability within the human population, as inferred from DTI measurements found in literature. End-systolic Green-Lagrange strains with respect of the end-diastolic state were expressed according to the local circumferential (c), longitudinal (l) and transmural (t) direction. The results show that the transverse angle is more influential than the helix angle and that the strain components most affected by fiber orientation are Ect (38 ± 18 % ), and Ecl (25 ± 8 % ). The most influential parameters are found to be tu0, describing the longitudinal offset of the transverse angle, and hv0, describing the transmural offset of the helix angle. Instead, hv1, describing the transmural slope of the helix angle, resulted to be the least influential parameter.

AB - In this work, we use a Finite Element model of the left ventricular (LV) mechanics to assess the sensitivity of strains to fiber orientation, modeled using both helix and transverse angles using a 5-parameter rule-based model. The ranges for the five parameters represent the variability within the human population, as inferred from DTI measurements found in literature. End-systolic Green-Lagrange strains with respect of the end-diastolic state were expressed according to the local circumferential (c), longitudinal (l) and transmural (t) direction. The results show that the transverse angle is more influential than the helix angle and that the strain components most affected by fiber orientation are Ect (38 ± 18 % ), and Ecl (25 ± 8 % ). The most influential parameters are found to be tu0, describing the longitudinal offset of the transverse angle, and hv0, describing the transmural offset of the helix angle. Instead, hv1, describing the transmural slope of the helix angle, resulted to be the least influential parameter.

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SN - 9783030787097

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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A2 - Perotti, Luigi E.

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PB - Springer

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ER -

Barbarotta L, Bovendeerd PHM. A Computational Approach on Sensitivity of Left Ventricular Wall Strains to Fiber Orientation. In Ennis DB, Perotti LE, Wang VY, editors, Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Proceedings. Springer. 2021. p. 296-304. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-78710-3_29

A Computational Approach on Sensitivity of Left Ventricular Wall Strains to Fiber Orientation

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