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Constitutive modeling of human liver based on in vivo measurements


Mazza, E; Grau, P; Hollenstein, M; Bajka, M (2008). Constitutive modeling of human liver based on in vivo measurements. In: Metaxas, D. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008. Berlin / Heidelberg: Springer, 726-733.

Abstract

In vivo aspiration experiments on human livers are analyzed and material parameters for a non-linear-viscoelastic constitutive model are determined. A novel procedure is applied for the inverse analysis that accounts for the initial tissue deformation in the experiment and for the non-homogeneity of liver tissue. A numerical model is used consisting of a surface layer (capsule) and an underlying non-linear-viscoelastic solid (parenchyma). The capsule is modeled as hyperelastic membrane using data from measurements on bovine and human tissue. In a two step optimization procedure the set of constitutive model parameters for the "average" response of liver parenchyma is obtained. The proposed model is in line with literature values of high strain rate elastic modulus obtained from dynamic elastography. The model can be used to predict the nonlinear, time dependent behavior of human liver in computer simulations related to surgery training and planning.

Abstract

In vivo aspiration experiments on human livers are analyzed and material parameters for a non-linear-viscoelastic constitutive model are determined. A novel procedure is applied for the inverse analysis that accounts for the initial tissue deformation in the experiment and for the non-homogeneity of liver tissue. A numerical model is used consisting of a surface layer (capsule) and an underlying non-linear-viscoelastic solid (parenchyma). The capsule is modeled as hyperelastic membrane using data from measurements on bovine and human tissue. In a two step optimization procedure the set of constitutive model parameters for the "average" response of liver parenchyma is obtained. The proposed model is in line with literature values of high strain rate elastic modulus obtained from dynamic elastography. The model can be used to predict the nonlinear, time dependent behavior of human liver in computer simulations related to surgery training and planning.

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Additional indexing

Item Type:Book Section, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Gynecology
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:2008
Deposited On:24 Feb 2009 17:17
Last Modified:06 Dec 2017 18:32
Publisher:Springer
Series Name:Lecture Notes in Computer Science
Number:Volume
ISSN:0302-9743 (P) 1611-3349 (E)
ISBN:978-3-540-85989-5
Additional Information:The original publication is available at www.springerlink.com
Publisher DOI:https://doi.org/10.1007/978-3-540-85990-1_87
PubMed ID:18982669

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