Literature DB >> 26282385

A simple, effective and clinically applicable method to compute abdominal aortic aneurysm wall stress.

Grand Roman Joldes1, Karol Miller2, Adam Wittek1, Barry Doyle3.   

Abstract

Abdominal aortic aneurysm (AAA) is a permanent and irreversible dilation of the lower region of the aorta. It is a symptomless condition that if left untreated can expand to the point of rupture. Mechanically-speaking, rupture of an artery occurs when the local wall stress exceeds the local wall strength. It is therefore desirable to be able to non-invasively estimate the AAA wall stress for a given patient, quickly and reliably. In this paper we present an entirely new approach to computing the wall tension (i.e. the stress resultant equal to the integral of the stresses tangent to the wall over the wall thickness) within an AAA that relies on trivial linear elastic finite element computations, which can be performed instantaneously in the clinical environment on the simplest computing hardware. As an input to our calculations we only use information readily available in the clinic: the shape of the aneurysm in-vivo, as seen on a computed tomography (CT) scan, and blood pressure. We demonstrate that tension fields computed with the proposed approach agree well with those obtained using very sophisticated, state-of-the-art non-linear inverse procedures. Using magnetic resonance (MR) images of the same patient, we can approximately measure the local wall thickness and calculate the local wall stress. What is truly exciting about this simple approach is that one does not need any information on material parameters; this supports the development and use of patient-specific modelling (PSM), where uncertainty in material data is recognised as a key limitation. The methods demonstrated in this paper are applicable to other areas of biomechanics where the loads and loaded geometry of the system are known.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Abdominal aortic aneurysm; Finite element method; Inverse problems; Patient specific modelling

Mesh:

Year:  2015        PMID: 26282385     DOI: 10.1016/j.jmbbm.2015.07.029

Source DB:  PubMed          Journal:  J Mech Behav Biomed Mater        ISSN: 1878-0180


  12 in total

1.  Wall Stress and Geometry Measures in Electively Repaired Abdominal Aortic Aneurysms.

Authors:  Wei Wu; Balaji Rengarajan; Mirunalini Thirugnanasambandam; Shalin Parikh; Raymond Gomez; Victor De Oliveira; Satish C Muluk; Ender A Finol
Journal:  Ann Biomed Eng       Date:  2019-04-08       Impact factor: 3.934

2.  A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis.

Authors:  Liang Liang; Minliang Liu; Caitlin Martin; Wei Sun
Journal:  J R Soc Interface       Date:  2018-01       Impact factor: 4.118

3.  On the computation of in vivo transmural mean stress of patient-specific aortic wall.

Authors:  Minliang Liu; Liang Liang; Haofei Liu; Ming Zhang; Caitlin Martin; Wei Sun
Journal:  Biomech Model Mechanobiol       Date:  2018-11-09

4.  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

5.  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

6.  Geometric surrogates of abdominal aortic aneurysm wall mechanics.

Authors:  Jesús Urrutia; Anuradha Roy; Samarth S Raut; Raúl Antón; Satish C Muluk; Ender A Finol
Journal:  Med Eng Phys       Date:  2018-07-10       Impact factor: 2.242

7.  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

8.  Exploring the Biological and Mechanical Properties of Abdominal Aortic Aneurysms Using USPIO MRI and Peak Tissue Stress: A Combined Clinical and Finite Element Study.

Authors:  Noel Conlisk; Rachael O Forsythe; Lyam Hollis; Barry J Doyle; Olivia M B McBride; Jennifer M J Robson; Chengjia Wang; Calum D Gray; Scott I K Semple; Tom MacGillivray; Edwin J R van Beek; David E Newby; Peter R Hoskins
Journal:  J Cardiovasc Transl Res       Date:  2017-08-14       Impact factor: 4.132

9.  BioPARR: A software system for estimating the rupture potential index for abdominal aortic aneurysms.

Authors:  Grand Roman Joldes; Karol Miller; Adam Wittek; Rachael O Forsythe; David E Newby; Barry J Doyle
Journal:  Sci Rep       Date:  2017-07-05       Impact factor: 4.379

10.  Biomechanical rupture risk assessment of abdominal aortic aneurysms using clinical data: A patient-specific, probabilistic framework and comparative case-control study.

Authors:  Lukas Bruder; Jaroslav Pelisek; Hans-Henning Eckstein; Michael W Gee
Journal:  PLoS One       Date:  2020-11-19       Impact factor: 3.240

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