Literature DB >> 17227102

Nonlinear anisotropic stress analysis of anatomically realistic cerebral aneurysms.

Baoshun Ma1, Jia Lu, Robert E Harbaugh, Madhavan L Raghavan.   

Abstract

BACKGROUND: Static deformation analysis and estimation of wall stress distribution of patient-specific cerebral aneurysms can provide useful insights into the disease process and rupture. METHOD OF APPROACH: The three-dimensional geometry of saccular cerebral aneurysms from 27 patients (18 unruptured and nine ruptured) was reconstructed based on computer tomography angiography images. The aneurysm wall tissue was modeled using a nonlinear, anisotropic, hyperelastic material model (Fung-type) which was incorporated in a user subroutine in ABAQUS. Effective material fiber orientations were assumed to align with principal surface curvatures. Static deformation of the aneurysm models were simulated assuming uniform wall thickness and internal pressure load of 100 mm Hg.
RESULTS: The numerical analysis technique was validated by quantitative comparisons to results in the literature. For the patient-specific models, in-plane stresses in the aneurysm wall along both the stiff and weak fiber directions showed significant regional variations with the former being higher. The spatial maximum of stress ranged from as low as 0.30 MPa in a small aneurysm to as high as 1.06 MPa in a giant aneurysm. The patterns of distribution of stress, strain, and surface curvature were found to be similar. Sensitivity analyses showed that the computed stress is mesh independent and not very sensitive to reasonable perturbations in model parameters, and the curvature-based criteria for fiber orientations tend to minimize the total elastic strain energy in the aneurysms wall. Within this small study population, there were no statistically significant differences in the spatial means and maximums of stress and strain values between the ruptured and unruptured groups. However, the ratios between the stress components in the stiff and weak fiber directions were significantly higher in the ruptured group than those in the unruptured group.
CONCLUSIONS: A methodology for nonlinear, anisotropic static deformation analysis of geometrically realistic aneurysms was developed, which can be used for a more accurate estimation of the stresses and strains than previous methods and to facilitate prospective studies on the role of stress in aneurysm rupture.

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Year:  2007        PMID: 17227102     DOI: 10.1115/1.2401187

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  11 in total

1.  Coupling hemodynamics with vascular wall mechanics and mechanobiology to understand intracranial aneurysms.

Authors:  J D Humphrey
Journal:  Int J Comut Fluid Dyn       Date:  2009-09-01

2.  On the role of modeling choices in estimation of cerebral aneurysm wall tension.

Authors:  Manasi Ramachandran; Aki Laakso; Robert E Harbaugh; Madhavan L Raghavan
Journal:  J Biomech       Date:  2012-09-25       Impact factor: 2.712

3.  Comments.

Authors:  Robert E Harbaugh; Madhavan L Raghavan; Manasi Ramachandran
Journal:  Neurosurgery       Date:  2012-07       Impact factor: 4.654

4.  Characterizing heterogeneous properties of cerebral aneurysms with unknown stress-free geometry: a precursor to in vivo identification.

Authors:  Xuefeng Zhao; Madhavan L Raghavan; Jia Lu
Journal:  J Biomech Eng       Date:  2011-05       Impact factor: 2.097

5.  @neurIST complex information processing toolchain for the integrated management of cerebral aneurysms.

Authors:  M C Villa-Uriol; G Berti; D R Hose; A Marzo; A Chiarini; J Penrose; J Pozo; J G Schmidt; P Singh; R Lycett; I Larrabide; A F Frangi
Journal:  Interface Focus       Date:  2011-04-06       Impact factor: 3.906

6.  Patient-specific wall stress analysis in cerebral aneurysms using inverse shell model.

Authors:  Xianlian Zhou; Madhavan L Raghavan; Robert E Harbaugh; Jia Lu
Journal:  Ann Biomed Eng       Date:  2009-11-21       Impact factor: 3.934

7.  A shell-based inverse approach of stress analysis in intracranial aneurysms.

Authors:  Jia Lu; Shouhua Hu; Madhavan L Raghavan
Journal:  Ann Biomed Eng       Date:  2013-02-08       Impact factor: 3.934

Review 8.  Intracranial and abdominal aortic aneurysms: similarities, differences, and need for a new class of computational models.

Authors:  J D Humphrey; C A Taylor
Journal:  Annu Rev Biomed Eng       Date:  2008       Impact factor: 9.590

9.  Identifying heterogeneous anisotropic properties in cerebral aneurysms: a pointwise approach.

Authors:  Xuefeng Zhao; Madhavan L Raghavan; Jia Lu
Journal:  Biomech Model Mechanobiol       Date:  2010-05-21

10.  A geometric scaling model for assessing the impact of aneurysm size ratio on hemodynamic characteristics.

Authors:  Yunling Long; Hongyu Yu; Zhizheng Zhuo; Ying Zhang; Yang Wang; Xinjian Yang; Haiyun Li
Journal:  Biomed Eng Online       Date:  2014-02-17       Impact factor: 2.819

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