Quick Search:

uzh logo
Browse by:

Zurich Open Repository and Archive

Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-15790

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.

PDF (Accepted mannuscript)
View at publisher


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.


7 citations in Web of Science®
3 citations in Scopus®
Google Scholar™



106 downloads since deposited on 24 Feb 2009
12 downloads since 12 months

Detailed statistics

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
Deposited On:24 Feb 2009 17:17
Last Modified:05 Apr 2016 13:04
Series Name:Lecture Notes in Computer Science
ISSN:0302-9743 (P) 1611-3349 (E)
Additional Information:The original publication is available at www.springerlink.com
Publisher DOI:10.1007/978-3-540-85990-1_87
PubMed ID:18982669

Users (please log in): suggest update or correction for this item

Repository Staff Only: item control page