Open AccessIn vivo parameter identification in arteries considering multiple levels of smooth muscle activity
Author(s) -
Jan-Lucas Gade,
CarlJohan Thore,
Björn Sonesson,
Jonas Stålhand
Publication year - 2021
Publication title -
biomechanics and modeling in mechanobiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.765
H-Index - 68
eISSN - 1617-7959
pISSN - 1617-7940
DOI - 10.1007/s10237-021-01462-4
Subject(s) - abdominal aorta , in vivo , work (physics) , artery , minification , mathematics , aorta , anatomy , biomedical engineering , materials science , cardiology , physics , mathematical optimization , medicine , biology , thermodynamics , microbiology and biotechnology
In this paper an existing in vivo parameter identification method for arteries is extended to account for smooth muscle activity. Within this method a continuum-mechanical model, whose parameters relate to the mechanical properties of the artery, is fit to clinical data by solving a minimization problem. Including smooth muscle activity in the model increases the number of parameters. This may lead to overparameterization, implying that several parameter combinations solve the minimization problem equally well and it is therefore not possible to determine which set of parameters represents the mechanical properties of the artery best. To prevent overparameterization the model is fit to clinical data measured at different levels of smooth muscle activity. Three conditions are considered for the human abdominal aorta: basal during rest; constricted, induced by lower-body negative pressure; and dilated, induced by physical exercise. By fitting the model to these three arterial conditions simultaneously a unique set of model parameters is identified and the model prediction agrees well with the clinical data. Supplementary Information The online version contains supplementary material available at 10.1007/s10237-021-01462-4.