caa a22 4500 606166823 CHVBK 20210128100700.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s10665-014-9740-3 doi (NATIONALLICENCE)springer-10.1007/s10665-014-9740-3 Parameter estimation in a Holzapfel-Ogden law for healthy myocardium [Elektronische Daten] [H. Gao, W. Li, L. Cai, C. Berry, X. Luo] A central problem in biomechanical studies of personalized human left ventricular (LV) modelling is to estimate material properties from invivo clinical measurements. In this work we evaluate the passive myocardial mechanical properties inversely from the invivo LV chamber pressure-volume and strain data. The LV myocardium is described using a structure-based orthotropic Holzapfel-Ogden constitutive law with eight parameters. In the first part of the paper we demonstrate how to use a multi-step non-linear least-squares optimization procedure to inversely estimate the parameters from the pressure-volume and strain data obtained from a synthetic LV model in diastole. In the second part, we show that to apply this procedure to clinical situations with limited invivo data, additional constraints are required in the optimization procedure. Our study, based on three different healthy volunteers, demonstrates that the parameters of the Holzapfel-Ogden law could be extracted from pressure-volume and strain data with a suitable multi-step optimization procedure. Although the uniqueness of the solution cannot be addressed using our approaches, the material response is shown to be robustly determined. The Author(s), 2015 Holzapfel-Ogden law nationallicence Inverse problem nationallicence Left ventricular nationallicence Parameter estimation nationallicence Passive myocardial properties nationallicence Gao H. School of Mathematics and Statistics, University of Glasgow, Glasgow, UK aut Li W. School of Mathematics and Statistics, University of Glasgow, Glasgow, UK aut Cai L. School of Science, Northwestern Polytechnical University Xi'an, 710072, Xi'an, Shaanxi, People's Republic of China aut Berry C. Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK aut Luo X. School of Mathematics and Statistics, University of Glasgow, Glasgow, UK aut Journal of Engineering Mathematics Springer Netherlands 95/1(2015-12-01), 231-248 0022-0833 95:1<231 2015 95 10665 https://doi.org/10.1007/s10665-014-9740-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10665-014-9740-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Gao H. School of Mathematics and Statistics, University of Glasgow, Glasgow, UK aut NATIONALLICENCE 700 1- Li W. School of Mathematics and Statistics, University of Glasgow, Glasgow, UK aut NATIONALLICENCE 700 1- Cai L. School of Science, Northwestern Polytechnical University Xi'an, 710072, Xi'an, Shaanxi, People's Republic of China aut NATIONALLICENCE 700 1- Berry C. Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK aut NATIONALLICENCE 700 1- Luo X. School of Mathematics and Statistics, University of Glasgow, Glasgow, UK aut NATIONALLICENCE 773 0- Journal of Engineering Mathematics Springer Netherlands 95/1(2015-12-01), 231-248 0022-0833 95:1<231 2015 95 10665