TY - GEN
T1 - A Computational Approach on Sensitivity of Left Ventricular Wall Strains to Fiber Orientation
AU - Barbarotta, L.
AU - Bovendeerd, Peter H.M.
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021/6/18
Y1 - 2021/6/18
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.
UR - https://www.scopus.com/pages/publications/85111814198
U2 - 10.1007/978-3-030-78710-3_29
DO - 10.1007/978-3-030-78710-3_29
M3 - Conference contribution
AN - SCOPUS:85111814198
SN - 978-3-030-78709-7
T3 - Lecture Notes in Computer Science (LNCS)
SP - 296
EP - 304
BT - Functional Imaging and Modeling of the Heart
A2 - Ennis, Daniel B.
A2 - Perotti, Luigi E.
A2 - Wang, Vicky Y.
PB - Springer
CY - Cham
T2 - 11th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2021
Y2 - 21 June 2021 through 25 June 2021
ER -