How does the geometry affect the internal biomechanics of a lumbar spine bi-segment finite element model? Consequences on the validation process

Noailly, Jérôme; Wilke, Hans–Joachim; Planell, Josep A.; Lacroix, Damien

doi:10.1016/j.jbiomech.2006.11.021

Cited by 109 publications

(126 citation statements)

References 46 publications

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“…For example, following the description from Marchand and Ahmed 6 , some studies did not model any particular changes of fibre angle throughout the AF, taking an average criss-cross angle value of +/-30º with respect to the AF circumferential direction 7 . According to Cassidy et al 4 other authors introduced in their model more transversal fibres in the inner than in the outer AF 8 .…”

Section: Introductionmentioning

confidence: 99%

“…In FE models of the AF, the collagen network is implemented by using fibre-reinforced elements 7,8 , as well as through continuum constitutive theories that can take into account fibre orientations and fibre stiffness-related parameters 2,9 . In particular, by using a continuum approach, Eberlein and coworkers 9 showed how varying the fibre stiffness-related parameters, two different mechanical behaviours for posterior and anterior AF regions can be reproduced.…”

Section: Introductionmentioning

confidence: 99%

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Regional annulus fibre orientations used as a tool for the calibration of lumbar intervertebral disc finite element models

Malandrino

Noailly

Lacroix

2013

Computer Methods in Biomechanics and Biomedical Engineering

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The highly organized collagen network of human lumbar annulus fibrosus (AF) is fundamental to preserve the mechanical integrity of the intervertebral discs. In the healthy AF, fibres are embedded in a hydrated matrix and arranged in a criss-cross fashion, giving an anisotropic structure capable to undergo large strains. Quantitative anatomical examinations revealed particular fibre orientation patterns, possibly coming from regional adaptations of the AF mechanics. Based on such hypothesis, this study aimed to show that the regional differences in AF mechanical behaviour can be reproduced by considering only fibre orientation changes. Using the finite element (FE) method, AF matrix was modelled as a poro-hyperelastic material, where the porous solid was treated as a compressible continuum following a Neo-Hookean constitutive law. Strain-dependent permeability was assumed and all material parameters were taken from the literature. Fibre reinforcement was accounted for by adding an extra-term to the porous matrix strain energy density function, only active along the fibre directions. Through such term, fibre orientations were then adjusted, to reproduce AF tensile behaviours measured for four different regions: posterior outer (PO), anterior outer (AO), posterior inner (PI) and anterior inner (AI). Curve calibrations resulted in the following optimal angles, calculated with respect to the circumferential axis: 28º for PO, 23º for AO, 43º for PI and 31º for AI. In average, we obtained fibres 30% more transversal in the inner than in the outer AF against 38% as measured by Cassidy et al. (1989). Fibres more axial in the posterior than in the anterior AF were also measured by Holzapfel et al. (2005), with angle values comparable to our computed average values. Since all the hyperelastic and fluid-phase material parameters remained unchanged throughout the AF, calibration based only on fibre patterns variations may be an effective tool to calibrate the regional AF mechanics in a realistic way. INTRODUCTIONA challenge for FE models of the intervertebral disc (IVD) AF is to capture its intricate structure and function. The concentric fibre-reinforced lamellae that build up the AF are strongly anisotropic, due to collagen fibre orientation patterns. At the same time the annulus presents significant regional differences in mechanical behaviour. For instance, under a moderate strain of 5-6%, specimens in the AO region of the AF experienced stresses about 10 times higher than those occurring in PI specimens 1 . Collagen fibres, embedded in a criss-cross pattern within the AF matrix are essential to properly

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Regional annulus fibre orientations used as a tool for the calibration of lumbar intervertebral disc finite element models

Malandrino

Noailly

Lacroix

2013

Computer Methods in Biomechanics and Biomedical Engineering

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“…4,5,[17][18][19] Annulus ground substance and nucleus were considered linear elastic for compression and bilinear elastic for tension. For the fluid-like healthy nucleus, the data of, [20][21][22][23] for the annulus matrix of [15][16][24][25] was considered. Collagen fibers of the annulus were considered as bilinear elastic isotropic tension-only material.…”

Section: Methodsmentioning

confidence: 99%

Finite element analysis of long-time aging and sudden accidental degeneration of lumbar spine segments in compression

Kovács¹,

Oroszváry²

2013

Biomech Hung

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Abstract3D finite element analysis of long term aging and sudden accidental degeneration processes is presented for physiologic compression load. A systematic modeling and simulation is applied for analyzing the separated and mutual effect of certain material moduli of the components of lumbar motion segments on the mechanical behaviour and stability of the segment during the long time and sudden degeneration processes. It was concluded that due to their smallest stiffness the younger segments with light degeneration are the most vulnerable during both the long-time age-related and the sudden overload-related degeneration.

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“…al. also used FEM to model the L3, L4 and L5 vertebrae [37]. The paper, however, offers an inconclusive finding about model validation through comparison of computed global behaviours with experimental results.…”

Section: Three-dimensional Geometrical and Physics Modelling Of Lumbamentioning

confidence: 99%

A Framework on a Computer Assisted and Systematic Methodology for Detection of Chronic Lower Back Pain Using Artificial Intelligence and Computer Graphics Technologies

Kafri

Sudirman

Hussain

et al. 2016

Intelligent Computing Theories and Application

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Abstract. Back pain is one of the major musculoskeletal pain problems that can affect many people and is considered as one of the main causes of disability all over the world. Lower back pain, which is the most common type of back pain, is estimated to affect at least 60% to 80% of the adult population in the United Kingdom at some time in their lives. Some of those patients develop a more serious condition namely Chronic Lower Back Pain in which physicians must carry out a more involved diagnostic procedure to determine its cause. In most cases, this procedure involves a long and laborious task by the physicians to visually identify abnormalities from the patient's Magnetic Resonance Images. Limited technological advances have been made in the past decades to support this process. This paper presents a comprehensive literature review on these technological advances and presents a framework of a methodology for diagnosing and predicting Chronic Lower Back Pain. This framework will combine current state-of-the-art computing technologies including those in the area of artificial intelligence, physics modelling, and computer graphics, and is argued to be able to improve the diagnosis process.

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How does the geometry affect the internal biomechanics of a lumbar spine bi-segment finite element model? Consequences on the validation process

Cited by 109 publications

References 46 publications

Regional annulus fibre orientations used as a tool for the calibration of lumbar intervertebral disc finite element models

Regional annulus fibre orientations used as a tool for the calibration of lumbar intervertebral disc finite element models

Finite element analysis of long-time aging and sudden accidental degeneration of lumbar spine segments in compression

A Framework on a Computer Assisted and Systematic Methodology for Detection of Chronic Lower Back Pain Using Artificial Intelligence and Computer Graphics Technologies

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