NDLI: Constitutive Modeling of Coronary Arterial Media

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Hollander, Yaniv Durban, David Lu, Xiao Kassab, Ghassan S. Lanir, Yoram
Copyright Year	2011
Abstract	Accurate modeling of arterial elasticity is imperative for predicting pulsatile blood flow and transport to the periphery, and for evaluating the mechanical microenvironment of the vessel wall. The goal of the present study is to compare a recently developed structural model of porcine left anterior descending artery media to two commonly used typical representatives of phenomenological and structure-motivated invariant-based models, in terms of the number of model parameters, model descriptive and predictive powers, and requisite different test protocols for reliable parameter estimation. The three models were compared against 3D data of radial inflation, axial extension, and twist tests. Also checked are the models predictive capabilities to response data not used for estimation, including both tests outside the range of estimation database, as well as protocols of a different nature. The results show that the descriptive estimation error (model fit to estimation database), measured by the sum of squared residuals (SSE) between full 3D data and model predictions, was about twice as low for the structural (4.58%) model compared to the other two (9.71 and 8.99% for the phenomenological and structure-motivated models, respectively). Similar SSE ratios were obtained for the predictive capabilities. Prediction SSE at high stretch based on estimation of two low stretches yielded an SSE value of 2.81% for the structural model, and 10.54% and 7.87% for the phenomenological and structure-motivated models, respectively. For the prediction of twist from inflation-extension data, SSE values for the torsional stiffness was 1.76% for the structural model and 39.62 and 2.77% for the phenomenological and structure-motivated models. The required number of model parameters for the structural model is four, whereas the phenomenological model requires six to nine and the structure-motivated has four parameters. These results suggest that modeling based on the tissue structural features improves model reliability in describing given data and in predicting the tissue general response.
Starting Page	061008
Ending Page	061012
Page Count	5
File Format	PDF
ISSN	01480731
e-ISSN	15288951
Journal	Journal of Biomechanical Engineering
Volume Number	133
Issue Number	6
DOI	10.1115/1.4004249
Language	English
Publisher	The American Society of Mechanical Engineers
Publisher Date	2011-07-05
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Biological tissues Fibers Force Inflationary universe Modeling Parameter estimation Reliability Stiffness Stress Torsion Vessels
Content Type	Text
Resource Type	Article
Subject	Physiology (medical) Biomedical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Experimentally Validated Microstructural 3D Constitutive Model of Coronary Arterial Media

Constitutive Modeling of Coronary Arterial Media - Comparison of Three Model Classes

3D Mechanical Properties of the Layered Esophagus: Experiment and Constitutive Model

Passive Material Properties of Intact Ventricular Myocardium Determined From a Cylindrical Model

A Structural Model of the Venous Wall Considering Elastin Anisotropy

Comparison of a Multi-Layer Structural Model for Arterial Walls With a Fung-Type Model, and Issues of Material Stability

Three-Dimensional Stress Distribution in Arteries

Multiscale, Structure-Based Modeling for the Elastic Mechanical Behavior of Arterial Walls

Biaxial Tensile Testing and Constitutive Modeling of Human Supraspinatus Tendon

Constitutive Modeling of Coronary Arterial Media—Comparison of Three Model Classes

Similar Documents

Experimentally Validated Microstructural 3D Constitutive Model of Coronary Arterial Media

Constitutive Modeling of Coronary Arterial Media - Comparison of Three Model Classes

3D Mechanical Properties of the Layered Esophagus: Experiment and Constitutive Model

Passive Material Properties of Intact Ventricular Myocardium Determined From a Cylindrical Model

A Structural Model of the Venous Wall Considering Elastin Anisotropy

Comparison of a Multi-Layer Structural Model for Arterial Walls With a Fung-Type Model, and Issues of Material Stability

Three-Dimensional Stress Distribution in Arteries

Multiscale, Structure-Based Modeling for the Elastic Mechanical Behavior of Arterial Walls

Biaxial Tensile Testing and Constitutive Modeling of Human Supraspinatus Tendon

Constitutive Modeling of Coronary Arterial Media—Comparison of Three Model Classes