Literature DB >> 25634601

Non-invasive, energy-based assessment of patient-specific material properties of arterial tissue.

M Smoljkić1, J Vander Sloten, P Segers, N Famaey.   

Abstract

The mechanical properties of human biological tissue vary greatly. The determination of arterial material properties should be based on experimental data, i.e. diameter, length, intramural pressure, axial force and stress-free geometry. Currently, clinical data provide only non-invasively measured pressure-diameter data for superficial arteries (e.g. common carotid and femoral artery). The lack of information forces us to take into account certain assumptions regarding the in situ configuration to estimate material properties in vivo. This paper proposes a new, non-invasive, energy-based approach for arterial material property estimation. This approach is compared with an approach proposed in the literature. For this purpose, a simplified finite element model of an artery was used as a mock experimental situation. This method enables exact knowledge of the actual material properties, thereby allowing a quantitative evaluation of material property estimation approaches. The results show that imposing conditions on strain energy can provide a good estimation of the material properties from the non-invasively measured pressure and diameter data.

Entities:  

Mesh:

Year:  2015        PMID: 25634601     DOI: 10.1007/s10237-015-0653-5

Source DB:  PubMed          Journal:  Biomech Model Mechanobiol        ISSN: 1617-7940


  12 in total

1.  Numerical Approximation of Elasticity Tensor Associated With Green-Naghdi Rate.

Authors:  Haofei Liu; Wei Sun
Journal:  J Biomech Eng       Date:  2017-08-01       Impact factor: 2.097

2.  A new inverse method for estimation of in vivo mechanical properties of the aortic wall.

Authors:  Minliang Liu; Liang Liang; Wei Sun
Journal:  J Mech Behav Biomed Mater       Date:  2017-05-02

3.  Estimation of in vivo constitutive parameters of the aortic wall using a machine learning approach.

Authors:  Minliang Liu; Liang Liang; Wei Sun
Journal:  Comput Methods Appl Mech Eng       Date:  2018-12-28       Impact factor: 6.756

4.  Estimation of in vivo mechanical properties of the aortic wall: A multi-resolution direct search approach.

Authors:  Minliang Liu; Liang Liang; Wei Sun
Journal:  J Mech Behav Biomed Mater       Date:  2017-10-20

5.  Novel Methodology for Characterizing Regional Variations in the Material Properties of Murine Aortas.

Authors:  Matthew R Bersi; Chiara Bellini; Paolo Di Achille; Jay D Humphrey; Katia Genovese; Stéphane Avril
Journal:  J Biomech Eng       Date:  2016-07-01       Impact factor: 2.097

6.  Can finite element models of ballooning procedures yield mechanical response of the cardiovascular site to overexpansion?

Authors:  Giorgia M Bosi; Benedetta Biffi; Giovanni Biglino; Valentina Lintas; Rod Jones; Spyros Tzamtzis; Gaetano Burriesci; Francesco Migliavacca; Sachin Khambadkone; Andrew M Taylor; Silvia Schievano
Journal:  J Biomech       Date:  2016-06-23       Impact factor: 2.712

7.  Arterial pulse attenuation prediction using the decaying rate of a pressure wave in a viscoelastic material model.

Authors:  J Menacho; L Rotllant; J J Molins; G Reyes; A A García-Granada; M Balcells; J Martorell
Journal:  Biomech Model Mechanobiol       Date:  2017-11-22

8.  MRI-based patient-specific human carotid atherosclerotic vessel material property variations in patients, vessel location and long-term follow up.

Authors:  Qingyu Wang; Gador Canton; Jian Guo; Xiaoya Guo; Thomas S Hatsukami; Kristen L Billiar; Chun Yuan; Zheyang Wu; Dalin Tang
Journal:  PLoS One       Date:  2017-07-17       Impact factor: 3.240

9.  Population-specific material properties of the implantation site for transcatheter aortic valve replacement finite element simulations.

Authors:  Giorgia M Bosi; Claudio Capelli; Mun Hong Cheang; Nicola Delahunty; Michael Mullen; Andrew M Taylor; Silvia Schievano
Journal:  J Biomech       Date:  2018-02-20       Impact factor: 2.712

10.  Identification of in vivo nonlinear anisotropic mechanical properties of ascending thoracic aortic aneurysm from patient-specific CT scans.

Authors:  Minliang Liu; Liang Liang; Fatiesa Sulejmani; Xiaoying Lou; Glen Iannucci; Edward Chen; Bradley Leshnower; Wei Sun
Journal:  Sci Rep       Date:  2019-09-10       Impact factor: 4.996

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.